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Changes in letter sound knowledge are associated with development of phonological awareness in pre‐school children

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Letter sound knowledge, which, together with phonological awareness, is highly predictive of pre-school children's reading acquisition, derives from children's knowledge of their associated letter names and the phonological patterns of those names. In this study of 66 monolingual pre-school children we examined whether phonological patterns between letter names and their associated sounds might be differentially associated with aspects of phonological awareness. Results suggest that rudimentary levels of phonological awareness may facilitate the learning of letter sound associations. However, more explicit phonological awareness appears to be linked bi-directionally with letter sound knowledge with diverse name-sound associations, with letter sound associations that do not follow regular patterns (e.g. ‘juh’ for ‘j’ and ‘huh’ for ‘h’) most closely associated with performance in more complex phoneme awareness tasks.
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Changes in letter sound knowledge are
associated with development of
phonological awareness in
pre-school children
Judith G. Foy
Loyola Marymount University, Los Angeles, USA
Virginia Mann
University of California, Irvine, USA
Letter sound knowledge, which, together with phonological awareness, is highly
predictive of pre-school children’s reading acquisition, derives from children’s
knowledge of their associated letter names and the phonological patterns of those
names. In this study of 66 monolingual pre-school children we examined whether
phonological patterns between letter names and their associated sounds might be
differentially associated with aspects of phonological awareness. Results suggest that
rudimentary levels of phonological awareness may facilitate the learning of letter
sound associations. However, more explicit phonological awareness appears to be
linked bi-directionally with letter sound knowledge with diverse name-sound
associations, with letter sound associations that do not follow regular patterns (e.g.
‘juh’ for ‘j’ and ‘huh’ for ‘h’) most closely associated with performance in more
complex phoneme awareness tasks.
The ability to identify and manipulate speech sounds, known as phonological awareness,
is now well recognised as one of the best determinants of successful early reading
acquisition (for example: Gottardo, Stanovich & Siegel, 1996; Lyon, 1995; Mann, 1998;
Muter & Snowling, 1998; Stanovich, 1994; Wagner & Torgesen, 1987). Letter
knowledge also emerges as an important factor in learning to read (Adams, 1990;
Bradley & Bryant, 1991; Ehri, 1983; Muter, 1994); in two recent studies of
kindergarteners from diverse linguistic backgrounds the two best predictors of early
reading were alphabetic knowledge and phonological awareness skills (Chiappe, Siegel
& Gottardo, 2002; Muter & Diethelm, 2001). Children’s letter knowledge is also linked
to the development of phonological awareness (Stahl & Murray, 1994; Stuart &
Coltheart, 1988; Vellutino & Scanlon, 1987) even amongst non-readers (Bowey, 1994;
Bowey & Francis, 1991; Wagner, Torgeson & Rashotte, 1994). However, the relationship
between letter knowledge and phonological awareness is not yet well understood.
Journal of Research in Reading, ISSN 0141-0423 DOI: 10.1111/j.1467-9817.2006.00279.x
Volume 29, Issue 2, 2006, pp 143–161
rUnited Kingdom Literacy Association 2006. Published by Blackwell Publishing, 9600 Garsington Road,
Oxford OX4 2DQ, UK and 350 Main Street, Malden, MA 02148, USA
Acquisition of phonological awareness appears to be associated with the development
of robust and highly differentiated phonological representations as well as with literacy
exposure (e.g. Foy & Mann, 2001, 2003). Increasing evidence suggests that exposure to
the alphabetic principle in the process of learning to read is a primary impetus for gaining
an explicit access to phonological representations (Mann & Wimmer, 2002; Morais,
Cary, Alegria & Bertelson, 1979; Read, Zhang, Nie & Ding, 1986). Another candidate
impetus is lexical restructuring; about the time that they begin to learn to read, children’s
lexicons may undergo significant restructuring (e.g. Metsala & Walley, 1998) as a result
of such factors as vocabulary expansion (e.g. Walley, 1993), a changing focus from
meaning to sound (Byrne & Liberman, 1999) and the learning of letter sound associations
(e.g. Barron, 1998; Treiman & Bourassa, 2000; Vihman, 1981, 1996). The acquisition of
letter sound knowledge can be important in either framework, for it is both a fundamental
part of learning to read an alphabetic orthography and a consequence of lexical
acquisition.
Success in learning to read any alphabet requires that the child learn to map the letters
to their associated phonemes. English, unlike some alphabetic systems, distinguishes
between letter names and letter sounds, and our question is how names and sounds relate
to children’s attainment of phoneme awareness and the mapping of letter to phoneme. In
the vernacular, use of letter names is perhaps most common, being the parlance of oral
spellings, the ABC song, ABC books, telephone numbers, etc. Letter sounds are
predominately used as a teaching device when children are first taught to read and spell,
probably because the highly regular syllable structure of letter sounds can make letter-to-
phoneme mapping more apparent. Letter names bear a complex and variant relation to
the phonemes that the letters represent – consider how the names of ‘c’, ‘w’, ‘f’ and ‘t’
relate to the phoneme being represented. Letter sounds do away with the vagaries of the
relationship by having all consonant letter sounds as monosyllables consisting of the
phoneme followed by /=/. This regularity seems to have its pay-off from the perspective
of beginning readers. For example, studies of beginning readers have shown that early
reading acquisition appears to be best facilitated by training of phonological awareness
skills that is combined with training of letter sound relationships (Bradley & Bryant,
1983; Byrne & Fielding-Barnsley, 1990; Defior & Tudela, 1994). They have shown how
phonological awareness skills are enhanced in children who have received phonological
awareness training combined with explicit instruction in letter sound relationships (Ball
& Blachman, 1991; Barron, Golden, Seldon, Tait, Marmurek & Haines, 1992; Byrne &
Fielding-Barnsley, 1990; Hohn & Ehri, 1983).
Directly bridging between letter sound knowledge and phonological awareness,
Treiman has shown that when children begin to see letter names as ‘maps of phonemic
content’ (1998, p. 296), that is, when they begin to appreciate the name-sound
connection, their phonological representations may change from holistic categories (e.g.
Treiman et al., 1995). The representations come to reflect conventional orthographic
principles specific to the native language (e.g. Ehri & Wilce, 1985) and typically involve
smaller phonemic units.
Pre-school children appear to use letter name knowledge to develop letter sound
correspondences (Treiman, 1993; Treiman, Tincoff, Rodriguez, Monzaki & Francis,
1998; Treiman, Weatherston & Berch, 1994); specific aspects of letter knowledge may be
especially helpful. As can be seen in Table 1, many of the names of the letters in the
English alphabet follow phonological patterns.
1
For example, 31% of the names of
English letters (Category 1: b, c, d, g, p, t, v and z)
2
rhyme with each other and share the
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phonological structure {onset 1/i/}, where the onset is the phoneme that the letter ‘stands
for’. Treiman, Tincoff and Richmond-Welty (1997) examined whether pre-schoolers
demonstrate apprehension of these most common letter name-letter sound relationships in
English by asking the children to identify whether various syllables were letters. Children
made significantly more false positive errors for syllables that shared the same
phonological structure as the rhyming, ‘regular’ category (e.g. /gi/) than for syllables that
did not share this phonological structure (e.g. /ga/ or /ig/). The authors proposed that
children develop an ‘implicit sensitivity to the phonological structure of letter names’ (p.
407) derived from generalisations they make about common letter name-letter sound
relationships. Treiman and her colleagues also demonstrated that explicit letter sound
training for pre-schoolers is more effective for Category 1 letters than for letters whose
names and sounds involve other less systematic relationships (e.g. ‘k’, ‘w’; Treiman
et al., 1998). The rhyming, regular structure for Category 1 letters appears to make it
harder to learn their associated letter names (Treiman & Kessler, 2003), perhaps because
the letter names in this category are not phonologically distinct. However, this same
structure may make it easier for children to learn the associated letter sounds, since these
names contain the associated sound in the onset (see McBride-Chang, 1999; Treiman
et al., 1998; see Table 1).
As children move from knowing letter names to letter sounds, a critical question to
address is whether phonological awareness facilitates the learning of letter sound
relationships, or whether the acquisition of letter sound knowledge is responsible for
changes in phonological processing. Learning about letter sound correspondences may
change phonological awareness (e.g. Ehri, 1984, 1987; Morais, 1991; Morais, Alegria &
Content, 1987a, 1987b), but the literature also suggests that changes in children’s
phonological awareness may facilitate the learning of early alphabetic relationships (e.g.
Jorm & Share, 1983; Liberman, Shankweiler & Liberman, 1989; Wagner & Torgesen,
1987). Given that several previous studies have proposed that the relationship between
letter knowledge and phonological awareness is reciprocal (e.g. Barron, 1998; Burgess &
Lonigan, 1998; Morais et al., 1979; Perfetti, Beck, Bell & Hughes, 1987; Read et al.,
1986; Stanovich, 1986; Wagner, Torgesen & Rashotte, 1994), it may be fruitful to
explore the possible bi-directionality of the relationship. For example, Burgess and
Lonigan (1998) replicated the finding that letter name knowledge predicts phonological
sensitivity (shallow or rudimentary aspects of phonological awareness) a year later, but
also showed that phonological sensitivity was an even better predictor of letter knowledge.
These results suggest that phonological awareness, long known to be associated with
reading acquisition, may also be linked with the ease with which children learn letter
Table 1. Categories for letter names.
a
Category Letters Percentage of alphabet Phonological structure of letter names
1 b, c, d, g, p, t, v, z 31% consonant 1/i/; rhyme with each other
2 f, l, m, n, s, x 23% /E/ 1consonant
3 a, e, i, o, u 19% inconsistent
j, k, q, y 15%
h, r 8%
w4%
Note:
a
Adapted from Treiman, Tincoff and Richmond-Welty (1997).
LETTER KNOWLEDGE AND PHONOLOGICAL DEVELOPMENT 145
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names and their associated sounds. Phonological awareness is arguably not a unitary
concept, however. Rhyme and phoneme awareness appear to represent separable skills
(e.g. Carroll, Snowling, Hulme & Stevenson, 2003; Foy & Mann, 2001; Hoeien,
Lundberg, Stanovich & Bjaalid, 1995; Muter, Hulme, Snowling & Taylor, 1998;
Stanovich, 1986). Furthermore, there may be levels within phoneme awareness; deeper
levels, requiring more explicit knowledge about phonemes, may mediate phoneme
manipulation tasks such as deletion and substitution, whereas shallower levels may be
tapped by phoneme judgement tasks (Stanovich, 1986). Rhyme awareness, considered an
even shallower level of phonological awareness (e.g. Stanovich, 1986) is not as
consistently found to be a predictor of reading in pre-school children (e.g. Blaiklock,
2004; Hulme, Hatcher, Nation, Brown, Adams & Stuart, 2002; Muter & Diethelm, 2001;
Muter et al., 1998; but see Bryant, 2002 for a contrasting view).
We have previously shown that rhyme awareness is less closely associated with formal
literacy exposure than are levels of phoneme awareness, which appear to be dependent
upon such exposure (Foy & Mann, 2003; Mann & Foy, 2003). When we look at these
relations chronologically, we may thus find that children who have an appreciation for
the concept of rhyme – realising that words can share the same rime portion but have
different onsets – may be better able to deduce the sounds of the ‘regular’ letters (i.e. b, c,
d, g, p, t, v and z). They may be able to isolate the onset from the rime portion of each
letter name, enabling them easily to learn the sounds associated with these letters because
their names all share the same rime portion. Thus, letter sound knowledge for these letters
is not an obvious antecedent of rhyming, but we would anticipate that rhyme awareness
skills would predict letter sounds knowledge for these ‘regular’ letter names.
From Stanovich’s (1986) view that deeper levels of phonological awareness (explicit
knowledge of the phoneme) are relatively dependent upon formal literacy exposure (e.g.
Carroll et al., 2003; Foy & Mann, 2001), we would expect that the development of
phoneme awareness may also require an appreciation of more complex letter sound
relationships, such as also learning the sounds associated with letters whose names
contain their associated sound at the end of the name (f, l, m, n, s and x), and sounds that
are associated with their associated letter names in irregular ways (a, e, i, o, u, j, k, q, y, h,
r and w).
Although the literature linking phonological awareness, letter knowledge and early
reading suggests reciprocal development rather than simple cause-effect relationships,
few longitudinal studies have addressed this question directly. A recent exception is
Blaiklock (2004), who showed that the relation between reading and phonological
awareness was strongly mediated by both letter name and letter sound knowledge
relationships in early readers. In the present short-term longitudinal study, we will
examine the association between knowledge of letter names and sounds, rhyme
awareness, deep and shallow aspects of phoneme awareness and early reading skill,
explicitly addressing whether the acquisition of specific letter knowledge associates with
phonological awareness.
Hypotheses
Specifically we predicted that:
H1: Letter sound knowledge will be highest for letters whose names share a rhyming,
regular phonological structure and whose sound is contained in the onset (Category 1),
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next highest for letters whose names share a regular, non-rhyming phonological structure
(Category 2) and lowest for letters that do not share a phonological structure (Category 3).
H2: Letter sound categories varying by phonological structure will differentially
predict phonological awareness. Specifically, letter sound knowledge at T1 for Category
1 letters whose names rhyme will be associated more closely at T2 with rhyme awareness
than will T1 letter sound knowledge for letters in the non-rhyming categories 2 and 3.
Letter sound knowledge at T1 for Category 3 letters (e.g. a, r, h, w, etc.) will be
associated more closely at T2 with phoneme awareness than will T1 letter sound
knowledge for Category 1 and 2 letters, whose names have a regular structure.
H3: Levels of phonological awareness will also differentially predict letter sound
knowledge. Specifically, we expect rhyme awareness at T1 to predict T2 letter sound
knowledge for Category 1 letters (those whose names rhyme and share a regular
phonological structure) at T2, whereas deeper levels of phoneme awareness at T1 (i.e.
ability to manipulate phonemes) will predict the acquisition of letter sound knowledge at
T2 for letters in Category 3, with name-sound associations that do not follow any regular
phonological pattern.
H4: Directionality of the relationship between letter sound knowledge and
phonological awareness will vary depending on the level of phonological awareness
and type of letter sound knowledge. We expect that awareness of rhyme at T1 will
facilitate the learning of letter sounds at T2, especially letters with rhyming names in
which the onset contains the letter sound (Category 1). We also anticipate that deeper
levels of phoneme awareness at T2 will depend more on exposure to letter sound
knowledge at T1, especially for letters with more diverse letter sound associations
(Category 3), than will deeper levels of T1 phoneme awareness predict T2 Category 3
letter sounds.
Method
Participants
Included in the study were 66 monolingual (English-speaking) pre-school children (aged
4–6 years) attending daycare programmes in southern California. Participation required
parental consent in both phases of the study, and that the children themselves assented.
None of the children had any reported hearing or visual impairments. The study was
conducted in two phases: February/March (T1) and June/July (T2) of the school year.
None of the schools had formal reading instruction programmes. Descriptive statistics for
the sample at T1 and T2 are given in Table 2.
Materials
Phonological awareness
Rhyme awareness. The composite rhyme awareness score was derived by
summing the raw scores on two rhyming tasks developed from Foy and Mann (2001):
rhyme recognition and rhyme production (see Appendix A). In the rhyme recognition
task, adapted from Chaney (1992), children saw three pictured objects at a time, two of
which had names that rhymed. The examiner named the three objects, and pointed to
them. The children were asked to point to the pictures that ‘rhymed’ or ‘sounded almost
the same’. After demonstration and three practice trials, the children indicated their
LETTER KNOWLEDGE AND PHONOLOGICAL DEVELOPMENT 147
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responses to eight trials by pointing. In the rhyme production task the children were asked
to say ‘what word rhymes with ___’ for five trials consisting of common words (e.g. hop).
Words and nonwords were scored as correct as long as they rhymed with the target word.
Phoneme awareness. The materials (see Appendix A), developed from Foy and
Mann (2001) consisted of practice trials and test items for each of six sub-tests assessing
phoneme judgement, phoneme deletion and phoneme substitution in both initial and final
positions. The sub-tests each consisted of two practice items and five test items. The tests
were administered in standard order: phoneme judgement, phoneme deletion and
phoneme substitution.
In the phoneme judgement tests, the children were told that ‘Morpo’, a Martian puppet,
wanted them to help him play ‘the sound game’. Following demonstration and practice,
the examiner presented a stimulus word, followed by two test words, and the children
responded with the word that started (initial) or ended (final) with the same sound as the
target word.
In the phoneme deletion tasks, the children were told that Morpo, the puppet, wanted to
see what happens to the words when the first (initial) or last (final) sound was taken out.
After demonstration and practice, the children responded by indicating how the word
would sound when the target sound was removed from each word. In the phoneme
Table 2. Descriptive statistics for the major variables for Time 1 and Time 2 testing (four months later).
Variable
Time 1 Time 2
t
a
Mean Standard
Deviation
Range Mean Standard
Deviation
Range
Age (months) 60.21 6.28 49–76 64.36 6.44 53–80 6.31
***
Digit span 2.62 1.61 0–7 3.09 1.59 0–6 2.08
*
Vocabulary 15.43 7.99 0–31 13.97 6.86 3–30 1.45
Reading 2.45 8.11 0–40 4.65 14.49 0–85 2.16
*
Phonological awareness
Phoneme judgement 3.50 2.92 0–10 5.15 2.21 0–10 4.69
***
Phoneme manipulation 1.21 2.47 0–19 1.39 2.89 0–19 1.94
*
Rhyme awareness 6.06 4.28 0–13 7.33 4.10 0–13 3.36
***
Letter knowledge
Names 27.38 19.40 0–52 30.30 20.85 0–52 2.25
*
Upper case 15.17 10.00 0–26 16.62 10.60 0–26 2.13
*
Lower case 12.48 9.67 0–26 14.26 10.35 0–26 2.56
*
Category 1 proportion 0.50 0.38 0–1 0.57 0.40 0–1 2.37
*
Category 2 proportion 0.53 0.39 0–1 0.59 0.41 0–1 2.12
*
Category 3 proportion 0.54 0.37 0–1 0.61 0.40 0–1 2.18
*
Sounds 14.37 18.30 0–52 21.75 32.76 0–52 2.12
*
Upper case 5.82 8.73 0–26 8.65 9.78 0–26 2.81
**
Lower case 5.27 8.30 0–25 7.41 9.99 0–26 2.16
*
Category 1 proportion 0.27 0.37 0–1 0.36 0.42 0–1 2.45
*
Category 2 proportion 0.21 0.33 0–1 0.30 0.39 0–1 2.43
*
Category 3 proportion 0.19 0.30 0–1 0.28 0.35 0–1 2.42
*
Notes:
*
po0.05;
**
po0.01;
***
po0.001.
a
Results of two-tailed dependent t-tests conducted on scores for Time 1 testing compared to Time 2 test scores.
148 FOY and MANN
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substitution tests, the children were told that the examiner liked the sound /k=/, and were
invited to ‘change the words from Morpo’s planet’ by changing the first (initial) or last
(final) sound to /k=/. Following demonstration and practice, the children responded by
changing the nonsense words into nonsense words that began (initial) or ended (final)
with /k=/.
Whereas phoneme judgement was considered a separate variable, the phoneme
deletion and phoneme substitution raw scores were combined to form one variable,
phoneme manipulation, by summing the number of correct scores on these two tests. This
strategy was prompted by factor analysis of a larger sample (at T1) from which the
present sample was taken. The results of this factor analysis, as detailed in Mann and Foy
(2003), suggested that phoneme deletion and substitution are highly interrelated skills
that are independent from phoneme judgement.
Vocabulary
The WPPSI Vocabulary sub-test (Wechsler, 1992) was used as a measure of expressive
vocabulary. In this test children are asked to give definitions for words of increasing
difficulty. It was included as a control for vocabulary expansion.
Letter knowledge
Letter name and letter sound knowledge were assessed with sub-tests of the Concepts
about Print Test (Clay, 1985). The naming test involves identification and naming of all
upper and lower case letters in fixed random order. Letter sound knowledge was assessed
by re-administering the letter stimuli and asking children to provide the sound associated
with each letter. For letters that represented more than one sound any appropriate
response was counted as correct, after Treiman and her colleagues (1998). The letter
identification and sound tasks were discontinued after eight consecutive failures, with the
exception of letters in the child’s first name, all of which were then tested.
The letter naming score reflects the summed scores on the letter identification tests for
upper and lower case letters. The letter sound score reflects the summed scores on the
letter sound tests for upper and lower case letters. Letter name knowledge was assessed
prior to letter sound knowledge, separated by two other tasks, as described in the
procedure.
Scoring by letter categories. Letter knowledge was categorised into three groups in
post hoc scoring (see Table 1) adapted from Treiman, Tincoff and Richmond-Welty
(1997).
Category 1 (the letters b, c, d, g, p, t, v, z) consists of regularly named letters whose
names all rhyme (i.e. share the same vocalic unit after the onset), share the phonological
structure of consonant 1/i/ and whose name contains the sound in the onset. Category 2
(the letters f, l, m, n, s, x) consists of letters whose names share the less common but still
regular phonological structure of /E/ 1consonant, and whose associated letter sound is
contained in the final phoneme of the letter name. We combined the inconsistently named
letters (a, e, i, o, u, q, y, h, r, w, j and k) into Category 3 (inconsistent phonological
structure). Category 3 letters do not share a common phonological structure. Because of
the disproportionate number of letters in the three categories, all analyses involving letter
categories were converted to ratio scores reflecting proportion of letters identified or letter
sounds known in each category to the number of letters in each category.
LETTER KNOWLEDGE AND PHONOLOGICAL DEVELOPMENT 149
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Verbal short-term memory. The Digit Span sub-test of the WISC-R (Wechsler,
1974) provided a measure of verbal short-term memory.
Procedure
Participants were tested individually in quiet testing rooms on the school premises. They
were rewarded with stickers as needed to ensure maximal motivation and attention.
Testing was conducted in a fixed order in a session lasting approximately 30 minutes:
vocabulary, rhyme and phoneme awareness, letter names, word identification, word
attack, letter sounds and digit span. Testing for the second wave of tests was conducted in
the same way as for the first wave, four months later.
Results
Descriptive statistics for the major variables in this study are represented in Table 2. Time
1 and Time 2 represent the results for the first and second waves of testing, respectively.
Statistical analysis revealed that the mean time-related changes in all of the variables,
except for vocabulary, were statistically significant (two-tailed t-tests, po0.05). Zero-
order correlations between all of the major variables in the study are included in
Appendix B, and the most pertinent of these associations are discussed in detail in this
results section.
H1: Letter category analysis
We first examined letter sound knowledge as a function of phonological structure. We
had predicted that letter sound knowledge would be highest for letters whose names share
a regular phonological structure (Categories 1 and 2). In order to correct for the unequal
numbers of letters in each of the categories, proportion scores were used, as previously
described.
A two-way repeated measures ANOVA showed a main effect of testing time for letter
sounds, F(1,64) 56.42, MSe 50.14, p50.05, and letter category, F(1,64) 525.40,
MSe 50.02, p50.0001, but no significant interaction between these factors. The
children knew more letter sounds at Time 2 than at Time 1 (see Table 2). Post-hoc
Bonferroni tests (po0.001) showed that the children knew proportionally more letter
sounds for Category 1 (rhyming structure) letters than Category 2 (/E/1consonant
structure) and Category 3 (inconsistent phonological structure) letters.
3
H2: The letter sound categories will differentially predict phonological awareness
Partial correlations statistically controlling for the influence of age, digit span and
vocabulary knowledge on letter knowledge revealed that letter sound knowledge was
closely associated with our phonological measures, as expected (see Table 3).
We had hypothesised that phoneme judgement, phoneme manipulation and rhyme
awareness would be differentially associated with categories of letter sound knowledge.
Specifically we examined whether rhyme awareness would be more closely associated
with Category 1 letter sound knowledge than other letter sound knowledge, and whether
phoneme awareness would be more closely linked with Category 3 knowledge than for
other types of letter sound knowledge.
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Rhyme awareness
Zero-order correlations (as summarised in Table 3) showed that Category 1 (rhyme
structure) and Category 2 (/E/1consonant structure) letter sound knowledge at T1
significantly predicted rhyme awareness at T2. Dunn and Clark ztests
4
(Dunn & Clark,
1969; Steiger, 1980) revealed that these predictors were not significantly different in
predictive strength. When the effects of age, digit span and vocabulary were removed
using partial correlations, as shown in Table 3, Category 1 and 2 letter sounds no longer
significantly predicted rhyme awareness.
Phoneme judgement
The results of the zero-order correlations, as shown in Table 3, illustrate that only
Category 2 letter sounds (/E/1consonant structure) predicted phoneme judgement. Partial
Table 3. Zero-order and partial correlations
a
between letter sound categories and phonological awareness.
rpr
a
T2 Criterion variable: rhyme awareness
T1 Predictors
Category 1 sounds 0.26
*
0.07
Category 2 sounds 0.23
*
0.03
Category 3 sounds 0.21 0.01
T2 Criterion variable: phoneme judgement
T1 Predictors
Category 1 sounds 0.21 0.07
Category 2 sounds 0.25
*
0.11
Category 3 sounds 0.22 0.09
T2 Criterion variable: phoneme manipulation
T1 Predictors
Category 1 sounds 0.40
***
0.37
**
Category 2 sounds 0.40
***
0.37
**
Category 3 sounds 0.50
****
0.47
***
T2 Criterion variable: category 1 sounds
T1 Predictors
Rhyme awareness 0.42
***
0.28
*
Phoneme judgement 0.35
**
0.25
*
Phoneme manipulation 0.33
**
0.31
**
T2 Criterion variable: category 2 sounds
T1 Predictors
Rhyme awareness 0.42
***
0.26
*
Phoneme judgement 0.34
**
0.34
**
Phoneme manipulation 0.31
**
0.37
**
T2 Criterion variable: Category 3 sounds
T1 Predictors
Rhyme awareness 0.46
****
0.20
Phoneme judgement 0.33
**
0.33
**
Phoneme manipulation 0.31
**
0.41
****
Notes:
*
po0.05;
**
po0.01;
***
po0.001;
****
po0.0001.
a
Partial correlations reflect the correlations with T2 age, digit span and vocabulary controlled.
LETTER KNOWLEDGE AND PHONOLOGICAL DEVELOPMENT 151
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correlations, removing the variance as a result of age, digit span and vocabulary, also
rendered this relationship non-significant.
Phoneme manipulation
In contrast, each of the three letter categories at Time 1 was significantly correlated with
phoneme manipulation, with the Category 3 letter sounds (inconsistent phonological
structure) a significantly better predictor of phoneme manipulation than Category 1 or 2
sounds (Dunn and Clark z
1
*
52.61, p50.01), a finding that was confirmed by the partial
correlations, as shown in Appendix C.
H3: Phonological awareness will differentially predict the letter sound categories
Zero-order correlations showed that our phonological awareness measures at Time 1
significantly predicted all of the letter sound categories at T2, as shown in Table 3 (and
Appendix B). Dunn and Clark z
1
*
tests revealed that there were no significant differences
in the predictive strength of these phonological awareness predictors for the letter sound
categories, nor for the partial correlations, which remained statistically significant except
for the relationship between Time 1 rhyme awareness and Time 2 Category 3 letter
sounds (inconsistent phonological structure).
H4: Directionality of the relationship between letter sound knowledge and phonological
awareness
In order to examine the directionality of the relationship between letter sound knowledge
and phonological awareness, we conducted cross-lagged correlation procedures at Time 1
and Time 2 using the partial correlations as the most stringent tests of our hypotheses.
The logic of the cross-lagged correlation procedure rests on the assumption that if X is
causally related to Y, then the association between X at Time 1 and Y at Time 2 should
be stronger than the relationship between Y at T1 and X at T2 (Kenny, 1975). The cross-
lagged procedure is widely used to explore predictive relationships in longitudinal
designs
5
(e.g. Gathercole, Willis, Emslie & Baddeley, 1992; Mann & Ditunno, 1990;
Schell, Marshall & Jaycox, 2004; Shahar & Davidson, 2003).
Examination of the bi-directional relationship between letter category knowledge and
our phonological awareness measures revealed (see Table 3) that the partial correlations
between Time 1 rhyme awareness and Time 2 Category 1 and 2 letter sound knowledge
(consistent phonological structure) were greater (statistically significant at po0.001) than
the converse (p40.05). When the variance resulting from age, digit span and vocabulary
was statistically controlled, Time 1 rhyme awareness was not significantly associated
with Time 2 Category 3 letter sounds. Similarly, the partial correlations between
phoneme judgement and the letter categories were greater (significant at po0.001) than
the converse (p40.05). In contrast, the association between phoneme manipulation and
all three letter sound categories appears to be reciprocal, since the relations are
statistically significant bi-directionally.
Discussion
In this short-term longitudinal study of pre-school children we sought to explore the
reciprocal relationship between phonological awareness and letter knowledge that has
152 FOY and MANN
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been suggested by previous studies (e.g. Barron, 1998; Burgess & Lonigan, 1998; Perfetti
et al., 1987; Stanovich, 1986).
Our study replicates several previous findings. First, although we have not dwelled on
this fact, reading in our pre-school sample was associated with phoneme awareness and
letter knowledge, but not with rhyme awareness (see also Blaiklock, 2004; Hulme et al.,
2002; Muter & Diethelm, 2001; Muter, Hulme, Snowling & Taylor, 1998), as can be seen
in Appendices C and D. Second, as previously reported (Bowey, 1994; Bowey & Francis,
1991; Stahl & Murray, 1994; Stuart & Coltheart, 1988; Vellutino & Scanlon, 1987;
Wagner, Torgesen & Rashotte, 1994), letter knowledge (names and sounds) was linked
with phonological awareness but differentially for rhyme and phoneme awareness, as
shown in Appendix C. Third, we replicated the paradoxical finding of Treiman and
Kessler (2003) that letter names for letters that rhyme are learned less well than other
groups of letters, but that the letter sounds for these same letters are learned more easily
than the others. We showed that this relationship is stable at least for a short duration
(four months). We agree with Treiman and Kessler (2003); letter names that share
a common phonological structure (such as ‘b’ and ‘g’) may be more difficult to
differentiate from one another, and thus more difficult to learn. Indeed, Treiman and
Kessler (2003) showed that phonological similarity was inversely related to letter naming
accuracy. This common phonological structure may also make the letter sound
associations for letters that share the same phonological structure relatively easy for
children to learn compared to other letter sound associations (also see McBride-Chang,
1999; Treiman et al., 1997, 1998; Treiman & Kessler, 2003) by virtue of the fact that
the onsets of the letter sounds are contained within the onset of their associated letter
names. Letter name knowledge typically precedes letter sound knowledge in our literacy
culture and our data suggest that when it is combined with the ability to judge, substitute,
delete and otherwise manipulate phonemic structure, letter sound knowledge may more
readily ensue. It is consistent with this conjecture that letter name knowledge is a stronger
predictor of letter sound knowledge than vice versa (see Appendix B). One of the major
goals of the study was to investigate whether learning letter sounds for various categories
of letters would be differentially associated with phonological awareness, as Treiman
and her colleagues have suggested (Treiman et al., 1997). It was also important to
examine the nature of any relationship with respect to directionality. We wished to
explore the bi-directional relationships between letter knowledge and phonological
awareness that had been reported in several previous studies and replicated here, with an
eye to establishing which factors may drive the development of robust phonological
awareness skills.
We had predicted that there would be differences for rhyme awareness versus phoneme
awareness, with rhyme being less dependent upon literacy experiences (specifically the
learning of letter sound relationships). We also raised the expectation that learning letter
sound relationships would be more predictive of deeper levels of phoneme awareness
than of rhyme awareness which, in turn, would be more predictive of letter sounds
learning than vice versa. Our findings concur with our expectations in the first instance,
but not the second. We consider first the surprising finding that phoneme awareness as
well as rhyme awareness predicted letter sound knowledge for all categories. Being
endowed with rhyme awareness and with phoneme awareness (shallow and deep)
facilitated the children’s learning of letter sound relationships in all categories. The
conceptual knowledge underlying phonological awareness may conceivably help the
child to learn letter sound associations for all of the letter categories, regardless of
LETTER KNOWLEDGE AND PHONOLOGICAL DEVELOPMENT 153
rUnited Kingdom Literacy Association 2006
the phonological structure of the letter name-sound relationship. Thus it appears that
phonological awareness skills are predictive of letter sound skills.
Our other hypothesis addressed the question of whether letter sound knowledge
facilitates the acquisition of deeper levels of phonological awareness. Our findings
suggest that letter sound skills do little to facilitate rhyme awareness or shallow levels of
phoneme awareness (phoneme judgement), especially when potential confounds such as
age, verbal short-term memory and vocabulary are controlled. Deeper levels of phoneme
awareness, however, appear to be strongly and independently linked to letter sound
knowledge in our study, consistent with findings in other studies (Blaiklock, 2004;
Carroll et al., 2003; Mann & Wimmer, 2002). We further show that although all letter
sound categories are predictive of phoneme manipulation, learning letter sound relation-
ships for Category 3 letters is especially helpful for developing deeper levels of phoneme
awareness.
Our results thus suggest a different pattern for deeper levels of phoneme awareness that
may require more explicit knowledge of phonemes. Although phoneme manipulation
is bi-directionally linked with letter knowledge, we have found strong evidence that
knowledge of the letter sounds associated with the idiosyncratically named letters in
Category 3 appears to facilitate performance in deletion and substitution tasks that
involve a deeper, more explicit level of phoneme awareness, independent of age, verbal
short-term memory and vocabulary. Thus while we support the contention of Treiman
and her colleagues (Treiman et al., 1997, 1998; Treiman & Kessler, 2003) that learning
letter sound correspondences will facilitate sensitivity to phonological structure, we add
the codicil that this occurs in different ways for rhyme, shallow and deeper levels of
awareness and for different sets of letters. All three aspects of phonological awareness
examined in the present study facilitated the learning of letter sound relationships four
months later. Likewise, learning all types of letter sound associations appeared to be
linked to the development of all aspects of phonological awareness but, for shallow levels
of phonological awareness, this relationship appeared to be dependent on develop-
mental factors such as age, verbal short-term memory and vocabulary. Knowledge of
diverse letter name-letter sound relationships was the strongest independent predictor of
deeper levels of phonological awareness.
In closing, we wish to make a cautionary reminder that although our statistical
procedures suggest directionality between letter sound knowledge and phonological
awareness, these findings do not indicate causality. Our proposition that learning arbitrary
letter sound relationships helps the pre-school child to develop explicit phoneme
awareness should be examined in an experimental design where children are taught
letters in certain orders. Such a design can also be used to test our view that pre-schoolers
with rhyme awareness and shallow levels of phoneme awareness will have an easier time
learning letter sound relationships dependent on regular phonological structures.
Notes
1. Treiman and Kessler (2003) also reported an effect of visual similarity on discriminability for lower case
letters. Phonological patterns, the main focus of the present study, affected both upper- and lower-case letter
naming in the Treiman and Kessler study. Thus, we have limited our analysis to the influence of phonological
patterns, whilst recognising the need for future research to examine the influence of such effects as visual
discriminability in letters on letter knowledge.
154 FOY and MANN
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2. The letter name for /z/ in American English rhymes with the other letters in this category, but not in British
English, in which the letter name is /zEd/, rhyming with the word ‘bed’.
3. A two-way repeated measures ANOVA on letter name knowledge revealed main effects of testing time,
F(1, 64) 55.86, MSe 50.005, po0.05 and letter category, F(1,64) 516.11, MSe 50.0006, po0.001.
Children were able to identify significantly more letter names at Time 2 than at Time 1. In contrast to the
children’s knowledge for letter sounds, post-hoc Bonferroni tests revealed that the children were able to
identify more names (see Table 2) for Category 3 letters (inconsistent phonological structure) than for
Category 2 letters (/E/1consonant structure) (po0.05) and Category 1 letters (rhyming structure; po0.001).
4. Recommended as one of the best procedures to use for evaluating the relative strength of dependent
correlations (Hittner, 2003).
5. For example, the cross-lagged correlation procedure allowed Gathercole and her colleagues to conclude that,
in 4–5-year-olds, phonological memory was influencing vocabulary acquisition to a greater extent than
vocabulary was contributing to the development of phonological memory because the correlation between
phonological memory at one testing time and vocabulary at the subsequent testing time was greater than the
converse.
References
Adams, M.R. (1990). Beginning to read: Thinking and learning about print. Cambridge, MA: MIT Press.
Ball, E. & Blachman, B. (1991). Does phoneme awareness in kindergarten make a difference in early word
recognition and developmental spelling? Reading Research Quarterly, 26, 49–66.
Barron, R.W. (1998). Proto-literate knowledge: Antecedents and influences on phonological awareness and
literacy. In C. Hulme & J.M. Joshi (Eds.), Reading and spelling: Development and disorders. (pp. 153–175).
Mahwah, NJ: Lawrence Erlbaum Associates.
Barron, R.W., Golden, J.O., Seldon, D.M., Tait, C.F., Marmurek, H.H.C. & Haines, L.P. (1992). Teaching
prereading skills with a talking computer: Letter sound knowledge and print feedback facilitate nonreaders’
phonological awareness training. Reading and Writing: An Interdisciplinary Journal, 4, 179–204.
Blaiklock, K.E. (2004). The importance of letter knowledge in the relationship between phonological awareness
and reading. Journal of Research in Reading, 27(1), 36–57.
Bowey, J.A. (1994). Phonological sensitivity in novice readers and nonreaders. Journal of Experimental Child
Psychology, 58, 134–159.
Bowey, J.A. & Francis, J. (1991). Phonological analysis as a function of age and exposure to reading instruction.
Applied Psycholinguistics, 12, 91–121.
Bradley, L. & Bryant, P. (1983). Categorizing sounds and learning to read – a causal connection. Nature, 301,
419–421.
Bradley, L. & Bryant, P. (1991). Phonological skills before and after learning to read. In S.A. Brady & D.P.
Shankweiler (Eds.), Phonological processes in literacy: A tribute to Isabelle Y. Liberman. (pp. 37–45).
Hillsdale, NJ: Lawrence Erlbaum Associates.
Bryant, P. (2002). It doesn’t matter whether onset and rime predicts reading better than phoneme awareness does
or vice versa. Journal of Experimental Child Psychology. Special Issue: Reflections, 82(1), 41–46.
Burgess, S.R. & Lonigan, C.J. (1998). Bidirectional relations of phonological sensitivity and prereading
abilities: Evidence from a preschool sample. Journal of Experimental Child Psychology, 70, 117–141.
Byrne, B. & Fielding-Barnsley, R. (1990). Acquiring the alphabetic principle: A case for teaching recognition of
phoneme identity. Journal of Educational Psychology, 82, 805–812.
Byrne, B. & Liberman, A.M. (1999). Meaninglessness, productivity and reading: Some observations about the
relation between the alphabet and speech. In J. Oakhill & R. Beard (Eds.), Reading development and the
teaching of reading: A psychological perspective. (pp. 157–173). Oxford: Blackwell Science.
Carroll, J.M., Snowling, M., Hulme, C. & Stevenson, J. (2003). The development of phonological awareness in
preschool children. Developmental Psychology, 39(5), 913–923.
Chaney, C. (1992). Language development, metalinguistic skills, and print awareness in 3-year old children.
Applied Psycholinguistics, 13, 485–514.
Chiappe, P., Chiappe, D.L. & Siegel, L. (2001). Speech perception, lexicality and reading skill. Journal of
Experimental Child Psychology, 80, 58–74.
Chiappe, P., Siegel, L.S. & Gottardo, A. (2002). Reading-related skills of kindergartners from diverse linguistic
backgrounds. Applied Psycholinguistics, 23, 95–116.
Clay, M. (1985). The early detection of reading difficulties. Auckland: Heinemann.
LETTER KNOWLEDGE AND PHONOLOGICAL DEVELOPMENT 155
rUnited Kingdom Literacy Association 2006
Defior, S. & Tudela, P. (1994). Effect of phonological training on reading and writing acquisition. Reading and
Writing: An Interdisciplinary Journal, 6, 299–320.
Dunn, O.J. & Clarke, V. (1969). Correlation coefficients measured on the same individuals. Journal of the
American Statistical Association, 64(325), 366–377.
Ehri, L.C. (1983). A critique of five studies related to letter-name knowledge and learning to read. In L. Gentile,
M. Kamil & J. Blanchard (Eds.), Reading research: Advances in theory and practice. (pp. 143–153).
Columbus, OH: Merrill.
Ehri, L.C. (1984). How orthography alters spoken language competencies in children learning to read and
spell. In J.D.R. Valtin (Ed.), Language awareness and learning to read. (pp. 119–147). New York: Springer-
Verlag.
Ehri, L.C. (1987). Learning to read and spell words. Journal of Reading Behavior. Special Issue: Beginning
Stages of Literacy, 191(1), 5–31.
Ehri, L.C. & Wilce, L.S. (1985). Movement into reading: Is the first stage of printed word learning visual or
phonetic? Reading Research Quarterly, 20(2), 163–179.
Foy, J.G. & Mann, V.A. (2001). Does strength of phonological representations predict phonological awareness
in preschool children. Applied Psycholinguistics, 22(3), 301–325.
Foy, J.G. & Mann, V.A. (2003). Home literacy environment and phonological awareness: Differential effects for
phoneme awareness and rhyme awareness. Applied Psycholinguistics, 24(1), 59–88.
Gathercole, S.E., Willis, C.S., Emslie, H. & Baddeley, A.D. (1992). Phonological memory and vocabulary
development during the early school years: A longitudinal study. Developmental Psychology, 28(5),
887–898.
Gottardo, A., Stanovich, K.E. & Siegel, L.S. (1996). The relationships between phonological sensitivity,
syntactic processing, and verbal working memory in the reading performance of third-grade children. Journal
of Experimental Child Psychology, 63(3), 563–582.
Hittner, J.B. (2003). A Monte Carlo evaluation of tests for comparing dependent correlations. Journal of
General Psychology, 130(2), 149–168.
Hoien, T., Lundberg, I., Stanovich, K.E. & Bjaalid, I.-K. (1995). Components of phonological awareness.
Reading & Writing, 7, 171–188.
Hohn, W.E. & Ehri, L.C. (1983). Do alphabetic letters help prereaders acquire phonemic segmentation skill?
Journal of Educational Psychology, 75, 752–762.
Hulme, C., Hatcher, P., Nation, K., Brown, A., Adams, J. & Stuart, G. (2002). Phoneme awareness is a better
predictor of early reading skill than onset-rime awareness. Journal of Experimental Child Psychology, 82,
2–28.
Jorm, A.F. & Share, D.L. (1983). Phonological recoding and reading acquisition. Applied Psycholinguistics,
4(2), 103–147.
Kenny, D.A. (1975). Cross-lagged panel correlation: A test for spuriousness. Psychological Bulletin, 82,
887–903.
Liberman, I.Y., Shankweiler, D. & Liberman, A.M. (1989). The alphabetic principle and learning to read. In
D. Shankweiler & I.Y. Liberman (Eds.), Phonology and reading disability: Solving the reading puzzle, Vol. 6.
(pp. 1–33). Ann Arbor, MI: University of Michigan Press.
Lyon, G.R. (1995). Toward a definition of dyslexia. Annals of Dyslexia, 45, 3–27.
Mann, V.A. (1998). Language problems: A key to early reading problems. In B.Y.L. Wong (Ed.), Learning
about learning disabilities. (2nd edn, pp. 163–201). San Diego: Academic Press.
Mann, V.A. & Ditunno, P. (1990). Phonological deficiencies: Effective predictors of future reading problems. In
G. Pavlides (Ed.), Dyslexia: Neuropsychological and Learning Perspectives. New York: Wiley.
Mann, V.A. & Foy, J.G. (2003). Speech development, phonological awareness, and letter knowledge in
preschool children. Annals of Dyslexia, 53, 149–173.
Mann, V.A. & Wimmer, H. (2002). Phoneme awareness and pathways into literacy: A comparison of German
and American children. Reading and Writing: An Interdisciplinary Journal, 15(7–8), 653–682.
McBride-Chang, C. (1999). The ABCs of the ABCs: The development of letter-name and letter-sound
knowledge. Merrill–Palmer Quarterly, 45, 285–308.
Metsala, J.L. & Walley, A.C. (1998). Spoken vocabulary growth and the segmental restructuring of lexical
representations: Precursors to phonemic awareness and early reading ability. In J.L. Metsala & L.C. Ehri
(Ed.), Word recognition in beginning literacy. (pp. 89–120). Mahwah, NJ: Erlbaum.
Morais, J. (1991). Phonological awareness: A bridge between language and literacy. In D.J. Sawyer & B.J. Fox
(Eds.), Phonological awareness in reading: The evolution of current perspectives. (pp. 31–71). New York:
Springer Verlag.
156 FOY and MANN
rUnited Kingdom Literacy Association 2006
Morais, J., Alegria, J. & Content, A. (1987a). The relationships between segmental analysis and alphabetic
literacy: An interactive view. Cahiers de Psychologie Cognitive/Current Psychology of Cognition, 7(5),
415–438.
Morais, J., Alegria, J. & Content, A. (1987b). Segmental awareness: Respectable, useful, and almost
always necessary. Cahiers de Psychologie Cognitive/Current Psychology of Cognition, 7(5),
530–556.
Morais, J., Cary, L., Alegria, J. & Bertelson, P. (1979). Does awareness of speech as a series of phones arise
spontaneously? Cognition, 7, 323–331.
Muter, V. (1994). The influence of phonological awareness and letter knowledge on beginning reading and
spelling development. In C. Hulme & M. Snowling (Eds.), Reading development and dyslexia. (pp. 45–62).
London: Whurr.
Muter, V. & Diethelm, K. (2001). The contribution of phonological skills and letter knowledge to early reading
development in a multilingual population. Language Learning, 51, 187–219.
Muter, V., Hulme, C., Snowling, C. & Taylor, S. (1998). Segmentation, not rhyming, predicts early progress in
learning to read. Journal of Experimental Child Psychology, 71, 3–27.
Muter, V. & Snowling, M. (1998). Concurrent and longitudinal predictors of reading: The role of metalinguistic
and short-term memory skills. Reading Research Quarterly, 33(3), 320–337.
Perfetti, C., Beck, I., Bell, L. & Hughes, C. (1987). Phonemic knowledge and learning to read are reciprocal:
A longitudinal study of first graders. Merrill-Palmer Quarterly, 33, 283–319.
Read, C.A., Zhang, Y., Nie, H. & Ding, B. (1986). The ability to manipulate speech sounds depends on knowing
the alphabetic reading. Cognition, 24, 31–44.
Schell, T.L., Marshall, G.N. & Jaycox, L.H. (2004). All symptoms are not created equal: The prominent role of
hyperarousal in the natural course of posttraumatic psychological distress. Journal of Abnormal Psychology,
113(2), 189–197.
Shahar, G. & Davidson, L. (2003). Depressive symptoms erode self-esteem in severe mental illness: A three-
wave, cross-lagged study. Journal of Consulting and Clinical Psychology, 71(5), 890–900.
Stahl, S.A. & Murray, B.A. (1994). Defining phonological awareness and its relationship to early reading.
Journal of Educational Psychology, 86(2), 221–234.
Stanovich, K.E. (1986). Matthew effects in reading: Some consequences of individual differences in the
acquisition of literacy. Reading Research Quarterly, 21(4), 360–406.
Stanovich, K.E. (1994). Does dyslexia exist? Journal of Child Psychology & Psychiatry & Allied Disciplines,
35(4), 579–595.
Steiger, J.H. (1980). Tests for comparing elements of a correlation matrix. Psychological Bulletin, 87,
245–251.
Stuart, M. & Coltheart, M. (1988). Does reading develop in a sequence of stages? Cognition, 30,
175–190.
Treiman, R. (1993). Beginning to spell: A study of first grade children. New York: Oxford University
Press.
Treiman, R. (1998). Why spelling? The benefits of incorporating spelling into beginning reading instruction. In
J.L. Metsala & L.C. Ehri (Eds.), Word recognition in beginning literacy. (pp. 289–313). Mahwah, NJ:
Erlbaum.
Treiman, R. & Bourassa, D. (2000). Children’s written and oral spelling. Applied Psycholinguistics, 21(2),
183–204.
Treiman, R., Fowler, C.A., Gross, J., Berch, D. & Weatherston, S. (1995). Syllable structure or word structure?
Evidence for onset and rime units with disyllabic and trisyllabic stimuli. Journal of Memory & Language,
34(1), 132–155.
Treiman, R. & Kessler, B. (2003). The role of letter names in the acquisition of literacy. In R. Kail (Ed.),
Advances in child development and behavior, 31. (pp. 105–135). San Diego: Academic Press.
Treiman, R., Tincoff, R. & Richmond-Welty, E.D. (1997). Beyond zebra: Preschoolers’ knowledge about
letters. Applied Psycholinguistics, 18, 391–409.
Treiman, R., Tincoff, R., Rodriguez, K., Monzaki, A. & Francis, D.J. (1998). The foundations of literacy:
Learning the sounds of letters. Child Development, 69(6), 1524–1540.
Treiman, R., Weatherston, S. & Berch, D. (1994). The role of letter names in children’s learning of phoneme-
grapheme relations. Applied Psycholinguistics, 15, 97–122.
Vellutino, F.R. & Scanlon, D.M. (1987). Phonological coding, phonological awareness, and reading ability:
Evidence from a longitudinal and experimental study. Merrill-Palmer Quarterly, 33, 321–363.
LETTER KNOWLEDGE AND PHONOLOGICAL DEVELOPMENT 157
rUnited Kingdom Literacy Association 2006
Vihman, M.M. (1981). Phonology and the development of the lexicon: Evidence from children’s errors. Journal
of Child Language, 8(2), 239–264.
Vihman, M.M. (1996). Phonological development: The origins of language in the child. Malden, MA:
Blackwell Publishers.
Wagner, R.K. & Torgesen, J.K. (1987). The nature of phonological processing and its causal role in the
acquisition of reading skills. Psychological Bulletin, 30, 73–87.
Wagner, R.K., Torgesen, J.K. & Rashotte, C.A. (1994). Development of reading-related phonological
processing abilities: New evidence of bi-directional causality from a latent variable longitudinal study.
Journal of Educational Psychology, 69, 36–39.
Walley, A.C. (1993). The role of vocabulary development in children’s spoken word recognition and
segmentation ability. Developmental Review, 13, 286–350.
Wechsler, D. (1974). Wechsler Intelligence Scale for Children. New York: Psychological Corporation.
Received 18 August 2004; revised version received 15 April 2005.
Address for correspondence: Judith G. Foy, Loyola Marymount University, One LMU
Drive, Los Angeles, CA 90045, USA. E-mail: jfoy@lmu.edu
Appendix A
Materials used in the Phonological Awareness Tasks
(adapted from Foy and Mann, 2001)
Rhyme Awareness Tasks
Rhyme judgement instructions: ‘Now you will see 3 pictures. Point to the pictures that
sound almost the same. Tell me which two words rhyme. Let’s practise a few’.
Test stimuli
1. boat, moon, coat 2. duck, pear, bear
3. cat, rope, hat 4. bed, fish, dish
5. bowl, can, man 6. soup, ball, wall
7. plane, frog, train 8. three, tree, spoon
Rhyme production instructions: ‘Now tell me a word or a made-up word that rhymes with
some words. Let’s practise a few’.
Test stimuli
1. Hop 2. Bake
3. Red 4. Sand
5. Hill
Phoneme Judgement Tasks
Initial sound instructions: ‘I will say a word, like boat, and then I will say two more
words – bag and tag. Your job is to tell me which one, bag or tag, starts with the same
sound. Your answer should be bag because boat starts with b and so does bag. Let’s
practise a few’.
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Test stimuli
1. door date-wait 2. kite lap-cap
3. snap sun-net 4. feet wish-fish
5. fruit fan-sick
Final sound instructions: ‘Now let’s do the same thing for the final sound. First I will say
a word like black, and then I will say two more words – trick and trip. Which word ends
with the same sound as black? Now your answer should be trick. Let’s practise a few’.
Test stimuli
1. seed bed-bell 2. heart late-lake
3. rock fake-face 4. help rose-rope
5. safe hat-half
Phoneme Deletion
Initial phoneme instructions: ‘Now I want you to take the first sound out. First I will say a
word, like kiss. The first sound in kiss is k. So if we take out the first sound the word will
be iss. Do you understand? Let’s practise a few’.
1. top 2. doll
3. trip 4. food
5. clip
Final phoneme instructions: ‘Now I will ask you to take the last sound out. If I say a word
like soak, and we take the last sound out, the word that is left will be soa. Let’s practise a
few’.
1. pot 2. birth
3. card 4. shirt
5. teeth
Phoneme Substitution Tasks
Initial phoneme instructions: ‘Now I will ask you to change the first sound of a word to k.
If I say ped you will say ked. Let’s practise a few’.
Test stimuli
1. bip 2. teeg
3. plim 4. grat
5. pud
Final phoneme instructions: ‘Now I will ask you to change the last sound of a word to k.
If I say gleese you will say gleek. Let’s practise a few’.
1. mib 2. jeet
3. salp 4. mup
5. targ
LETTER KNOWLEDGE AND PHONOLOGICAL DEVELOPMENT 159
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Appendix B
Correlations between Letter Knowledge and Phonological Awareness Measures for Time 1 and Time 2
123456789101112
Time 1
1. Reading
Phoneme Awareness
2. Judgement 0.42
***
3. Manipulation 0.59
***
0.30
*
4. Rhyme 0.01 0.11 0.04
Letter Skills
5. Names 0.21 0.39
**
0.28
*
0.36
**
6. Sounds 0.36
**
0.31
**
0.44
***
0.27
*
0.66
***
Time 2
7. Reading 0.87
***
0.36
**
0.47
***
0.01 0.29
*
0.38
**
Phoneme Awareness
8. Judgement 0.14 0.41
**
0.21 0.17 0.26
*
0.22 0.21
9. Manipulation 0.06 0.31
**
0.97
***
0.08 0.29
*
0.46
**
0.44
***
0.24
10. Rhyme 0.56
***
0.24 0.07 0.75
**
0.35
**
0.24 0.06 0.17 0.11
Letter Skills
11. Names 0.12 0.31
*
0.31
*
0.46
***
0.86
***
0.58
***
0.18 0.24 0.30
*
0.48
***
12. Sounds 0.30
*
0.41
**
0.36
**
0.34
**
0.73
***
0.66
***
0.39
**
0.31
*
0.40
**
0.32
**
0.67
**
Notes:
*
po0.05;
**
po0.01;
***
po0.001.
160 FOY and MANN
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Appendix C
Zero-order and partial correlations
a
between letter knowledge and phonological
awareness
rpr
a
T2 Criterion variable: Rhyme Awareness
T1 Predictors
Letter sound knowledge 0.24
*
0.04
Letter name knowledge 0.02 0.20
Reading 0.04 0.06
T2 Criterion variable: Phoneme Judgement
T1 Predictors
Letter sound knowledge 0.22 0.09
Letter name knowledge 0.26
*
0.14
Reading 0.11 0.11
T2 Criterion variable: Phoneme manipulation
T1 Predictors
Letter sound knowledge 0.46
**
0.43
***
Letter name knowledge 0.30
*
0.26
*
Reading 0.49
***
0.55
***
T2 Criterion variable: Reading
Letter sound knowledge 0.44
**
0.49
***
Letter name knowledge 0.31
**
0.30
*
Rhyme Awareness 0.02 0.02
Phoneme Judgment 0.35
**
0.33
**
Phoneme Manipulation 0.49
***
0.55
***
T2 Criterion variable: Letter name knowledge
T1 Predictors
Rhyme Awareness 0.45
**
0.37
**
Phoneme Judgement 0.33
**
0.25
*
Phoneme Manipulation 0.32
**
0.30
*
Reading 0.21 0.22
T2 Criterion variable: letter sound knowledge
T1 Predictors
Rhyme Awareness 0.34
**
0.25
*
Phoneme Judgement 0.41
**
0.33
**
Phoneme Manipulation 0.36
**
0.38
**
Reading 0.38
**
0.38
**
T2 Criterion variable: reading
T1 Predictors
Notes:
*
po0.05;
**
po0.01;
***
po0.001.
a
Partial correlations reflect the correlations with T2 age, digit span and vocabulary controlled.
LETTER KNOWLEDGE AND PHONOLOGICAL DEVELOPMENT 161
rUnited Kingdom Literacy Association 2006
... Such demands are comparable to requirements for comprehending short stories presented orally (and answering explicit and implicit questions) as directed in the listening comprehension task-story. The strong association between phonological awareness skills and letter-sound knowledge that led to the merged factor Graphophonemic Awareness is in complete agreement with previous evidence involving both English (Burgess and Lonigan, 1998;Lonigan et al., 2000;Foy and Mann, 2006) and Greek-speaking children of the same age (Manolitsis and Tafa, 2011) supporting their bidirectional relation. Thus, aggregating those terms resulted in two fewer latent variables with more precise assessments (with less measurement error) and a more parsimonious assessment of language skills in the early years. ...
... Finally, letter sound knowledge is one of the best predictors of children's early reading proficiency Clayton et al., 2020) and it appears to have an indirect association with reading acquisition through phonological sensitivity. There is some evidence that letter knowledge and phonological sensitivity may be reciprocally related (Burgess and Lonigan, 1998;Lonigan et al., 2000;Foy and Mann, 2006) as well as there is evidence that invented spelling is a good vehicle for practicing phonological sensitivity and knowledge of letter-sound correspondences both of which are directly related to decoding. The previously mentioned results along with the reliability results, have further strengthened our confidence that digital assessments hold several advantages (e.g., reliability and economy of administration, interest, portability and ease, etc.), which have been frequently highlighted in the relevant literature (Frank et al., 2016;Neumann and Neumann, 2019). ...
Article
Full-text available
In educational and clinical settings, few norm-referenced tests have been utilized until now usually focusing on a single or a few language subcomponents, along with very few language rating scales for parents and educators. The need for a comprehensive language assessment tool for preschool and early school years children which could form the basis for valid and reliable screening and diagnostic decisions, led to the development of a new norm-referenced digital tool called Logometro®. The aim of the present study is to describe Logometro® as well as its psychometric characteristics. Logometro® evaluates an array of oral language skills across the different language domains such as phonological awareness, listening comprehension, vocabulary knowledge (receptive and expressive), narrative speech, morphological awareness, pragmatics, as well emergent literacy skills (letter sound knowledge and invented writing) in Greek-speaking 4–7 years old children. More specifically, Logometro® has been designed in order to: (a) map individual language development paths as well as difficulties, (b) provide a descriptive profile of children’s oral language and emergent literacy skills, and (c) assist in the identification of children who are at risk for Developmental Language Disorder (DLD) or Specific Learning Disabilities (SLD). The sample consisted of 926 children aged from 4 to 7 years, which were recruited from diverse geographical provinces and represented a variety of socioeconomic backgrounds in Greece. Eight hundred participants were typically developing children (Nboys = 384 and Ngirls = 416), 126 children (NSLI = 44 and NSLD = 82) represented children with Special Educational Needs, and 126 children were typically developing peers matched for gender and age with the clinical groups. The administration lasted 90 min, depending on the participant’s age and competence. Validity (construct, criterion, convergent, discriminant, and predictive) as well as internal consistency and test–retest reliability were assessed. Results indicated that Logometro® is characterized by good psychometric properties and can constitute a norm-referenced battery of oral language and emergent literacy skills. It could be used to inform the professionals as well as the researchers about a child’s language strengthsand weaknesses and form the basis on which they can design an appropriate individualized intervention if needed.
... Such demands are comparable to requirements for comprehending short stories presented orally (and answering explicit and implicit questions) as directed in the listening comprehension task-story. The strong association between phonological awareness skills and letter-sound knowledge that led to the merged factor Graphophonemic Awareness is in complete agreement with previous evidence involving both English (Burgess and Lonigan, 1998;Lonigan et al., 2000;Foy and Mann, 2006) and Greek-speaking children of the same age (Manolitsis and Tafa, 2011) supporting their bidirectional relation. Thus, aggregating those terms resulted in two fewer latent variables with more precise assessments (with less measurement error) and a more parsimonious assessment of language skills in the early years. ...
... Finally, letter sound knowledge is one of the best predictors of children's early reading proficiency Clayton et al., 2020) and it appears to have an indirect association with reading acquisition through phonological sensitivity. There is some evidence that letter knowledge and phonological sensitivity may be reciprocally related (Burgess and Lonigan, 1998;Lonigan et al., 2000;Foy and Mann, 2006) as well as there is evidence that invented spelling is a good vehicle for practicing phonological sensitivity and knowledge of letter-sound correspondences both of which are directly related to decoding. The previously mentioned results along with the reliability results, have further strengthened our confidence that digital assessments hold several advantages (e.g., reliability and economy of administration, interest, portability and ease, etc.), which have been frequently highlighted in the relevant literature (Frank et al., 2016;Neumann and Neumann, 2019). ...
Article
In educational and clinical settings, few norm-referenced tests have been utilized until now usually focusing on a single or a few language subcomponents, along with very few language rating scales for parents and educators. The need for a comprehensive language assessment tool for preschool and early school years children which could form the basis for valid and reliable screening and diagnostic decisions, led to the development of a new norm-referenced digital tool called Logometro®. The aim of the present study is to describe Logometro® as well as its psychometric characteristics. Logometro® evaluates an array of oral language skills across the different language domains such as phonological awareness, listening comprehension, vocabulary knowledge (receptive and expressive), narrative speech, morphological awareness, pragmatics, as well emergent literacy skills (letter sound knowledge and invented writing) in Greek-speaking 4–7 years old children. More specifically, Logometro® has been designed in order to: (a) map individual language development paths as well as difficulties, (b) provide a descriptive profile of children’s oral language and emergent literacy skills, and (c) assist in the identification of children who are at risk for Developmental Language Disorder (DLD) or Specific Learning Disabilities (SLD). The sample consisted of 926 children aged from 4 to 7 years, which were recruited from diverse geographical provinces and represented a variety of socioeconomic backgrounds in Greece. Eight hundred participants were typically developing children (Nboys = 384 and Ngirls = 416), 126 children (NSLI = 44 and NSLD = 82) represented children with Special Educational Needs, and 126 children were typically developing peers matched for gender and age with the clinical groups. The administration lasted 90 min, depending on the participant’s age and competence. Validity (construct, criterion, convergent, discriminant, and predictive) as well as internal consistency and test–retest reliability were assessed. Results indicated that Logometro® is characterized by good psychometric properties and can constitute a norm-referenced battery of oral language and emergent literacy skills. It could be used to inform the professionals as well as the researchers about a child’s language strengths and weaknesses and form the basis on which they can design an appropriate individualized intervention if needed.
... Researchers of child speech (including speech therapists, pediatricians, and psycholinguists) assume that the process of speech acquisition proceeds in stages, and that the child masters the correct pronunciation around the age of 6;0 [1,2,3]. Deviations from the adult pronunciation may be related to insufficient efficiency of articulators, problems with word-form encoding, or to the developmental state of the phonological grammar [4,5]. Speech sounds that require more precise articulatory movements are initially pronounced as simpler sounds. ...
... Underlying the process of mapping orthographic symbols to sounds (and vice versa) is PA (Share, 1995;Torgesen et al., 1999;Foy and Mann, 2006). This is the ability to analyze, manipulate, and segment smaller sound units in spoken words and can be influenced by literacy training (de Gelder and Vroomen, 1992;Smith et al., 2014). ...
Article
Full-text available
This study investigated the influence of multiliteracy in opaque orthographies on phonological awareness. Using a visual rhyme judgement task in English, we assessed phonological processing in three multilingual and multiliterate populations who were distinguished by the transparency of the orthographies they can read in ( N = 135; ages 18–40). The first group consisted of 45 multilinguals literate in English and a transparent Latin orthography like Malay; the second group consisted of 45 multilinguals literate in English and transparent orthographies like Malay and Arabic; and the third group consisted of 45 multilinguals literate in English, transparent orthographies, and Mandarin Chinese, an opaque orthography. Results showed that all groups had poorer performance in the two opaque conditions: rhyming pairs with different orthographic endings and non-rhyming pairs with similar orthographic endings, with the latter posing the greatest difficulty. Subjects whose languages consisted of half or more opaque orthographies performed significantly better than subjects who knew more transparent orthographies than opaque orthographies. The findings are consistent with past studies that used the visual rhyme judgement paradigm and suggest that literacy experience acquired over time relating to orthographic transparency may influence performance on phonological awareness tasks.
... The link between phonological awareness and letter knowledge could be explained by the fact that letters can be thought of as printed correspondence of phonemes (Foulin, 2005), or phonemes can be thought of as "the letters' linguistic partners" (Byrne, 1998). Higher phonological awareness abilities, such as phoneme segmentation or phoneme deletion (Johnston, Anderson, &Holligan, 1996;Stahl & Murray, 1994), appear to require letter knowledge, but lower phonological awareness skills, such as syllable or trisyllable awareness, do not (Foy & Mann, 2006;Naslund& Schneider, 1996). Levin et al (2006) showed found that although preschoolers knew letter names better than letter sounds, they learned letter sounds easier than letter names. ...
Article
The study focused on the use of Online Instruction on Sound Recognition of Kindergarten LearnersThe researcher will make use of single-subject experimental Analysis, specifically the AB experimental design. In selecting the student respondents, the researcher will identify the kindergarten students with difficulties recognizing the sounds in their progress reports. In the analysis of data, the researcher will compare the progress report of kindergarten students on sound recognition and the assessment after exposure to sound recognition. There were initially forty (40) students and twenty-seven of them were identified as having difficulties with sound recognition. The study yielded that the use of online training is particularly helpful in helping students improve their sound detection skills. Technology must be used by teachers, and they must be trained to use it. Similarly, the use of online instruction has allowed teachers and parents to collaborate. One of the more difficult aspects of using online training is the poor internet connection and the long time it is required to execute it.
... Thus, letter knowledge can be considered as an obvious predictor, which, indeed could be demonstrated in numerus studies (e.g., Bowyer-Crane et al., 2008;Hatcher et al., 2004Hatcher et al., , 2006Torgesen et al., 1999Torgesen et al., , 2001. Furthermore, longitudinal studies of preliterate development showed that higher initial levels of letter knowledge led to higher levels of phoneme awareness and vice versa, whereas the shared variance of both constructs with rhyme awareness was less strong (Burgess & Lonigan, 1998;Carroll et al., 2003;Foy & Mann, 2006;Muter et al., 2004;Schmitterer & Schroeder, 2019a). Together, these findings support the assumption that different subcomponents of phonological awareness may reflect a developmental progress -from initially being capable of dealing with relatively large phonological units (i.e., rhymes) to later being able to deal with small units (i.e., phoneme), which then are predictive of and interact with reading development (i.e., letter knowledge, decoding; Castles & Coltheart, 2004;Clayton et al., 2020;Schmitterer & Schroeder, 2019b). ...
Article
Purpose: The transition to school and the first years of elementary school education are very sensitive phases for reading development. Reading researchers have established key precursors and developmental steps in these phases. However, how these components interact and affect growth is not well understood yet. The current study from Germany replicates established findings and explores how curvilinear effects can add informa- tion to our understanding of reading development. Method: 525 German-speaking children were followed during a 5-year period from kindergarten to fourth Grade. Phonological awareness (PA), letter knowledge (LK), rapid naming (RAN) and language skills (LS) were assessed in kindergarten, decoding and reading comprehension in elemen- tary school. Analysis was based on latent growth models with curvilinear (quadratic) effects. Results: The results indicate that PA and LK are of importance for early reading, RAN was additionally revealed to be of importance for further growth in decoding. Language skills and decoding, together with their interaction, explain variation in reading comprehension skills. A curvilinear effect was found for decoding on reading comprehension growth only. Conclusion: Our study shows which precursors predict growth in reading development in a transparent orthography and expands our understanding of how language and decoding affect the development of reading comprehension.
... This study found significant correlates between shared literacy experience and children's understanding of conventions of print (e.g., the difference between letters and pictures, where the title of the book is, where to start reading, and directionality of print) but did not find significant correlates between shared literacy experience and other literacy skills of letter knowledge or phonological awareness. These findings are consistent with prior work of Levy et al. (2006) and Foy and Mann (2006), who found that, for children 48-83 months of age who are typically developing, the extent of home literacy activities did not predict phonological awareness. Letter knowledge, however, was a significant correlate. ...
Article
Purpose Literacy instruction at home and in school, in addition to child speech and language ability, plays an essential role in reading development. The relationship between these factors in children with developmental disabilities during preschool is important to identify and describe in order to develop and test interventions that target instructional supports. This study examines the relationship between parent perceptions of literacy experiences at home and in school and speech, language, and literacy skills in children with developmental disabilities in preschool. Method Child factors of speech ability, expressive and receptive language and vocabulary comprehension, phonological awareness, and print knowledge in 38 preschool-age children with developmental disabilities between the ages of 48 and 69 months were assessed. Home and school literacy experiences were reported via parent questionnaires. Relationships between child factors and home and school experiences were evaluated. Results Parents reported frequent shared literacy engagement regardless of speech ability or receptive language skills. In school, parents reported that teachers engaged in activities of decoding and word recognition and used technology and/or augmentative and alternative communication at least weekly for instruction, but rarely for writing. Speech ability was significantly correlated with access to technology for instruction, with children who had greater speech ability provided with greater access to technology. Conclusions Findings suggest that parents of young children with developmental disabilities shared positive perceptions of the role reading together plays in language and literacy development and read together frequently. At school, more limited access to reading instruction was reported. Speech-language pathologists, teachers, and parents each play important roles in providing access to foundational literacy activities during preschool for children with developmental disabilities.
... In alphabetic languages (e.g., Arabic, English, French, Hebrew, Portuguese, etc.) letter names often include letter sounds (e.g., B begins with the phoneme /b/ and M ends with the phoneme /m/, as well as A is in ape, B is in below). According to the socalled Alphabetic Theory, in these cases letter names serve as background knowledge on which children rely to more easily acquire letter-phoneme correspondences (Ehri and Roberts, 2006;Foy and Mann, 2006;Justice, Pence, Bowles and Wiggins, 2006;Share, 2004;Treiman, Sotak and Bowman, 2001). ...
Technical Report
Full-text available
Visual and linguistic factors in literacy acquisition: Instructional Implications For Beginning Readers in Low-Income Countries. A literature review prepared for the Global Partnership for Education, c/o World Bank.
... In alphabetic languages, phonological awareness is bi-directionally linked with letter knowledge [37,38]. Letter knowledge assists children to establish and recall words from memory, and to decode unfamiliar words [39]. ...
Article
Full-text available
Word identification models assume that words are identified by at least two sources of information and analysis; one is phonological, and the other is visual. The present study investigated the influence of phonological awareness, Pinyin letter knowledge, and visual perception skills on Chinese character recognition after controlling for vocabulary, rapid naming, and verbal short-term memory in 80 Mandarin-speaking kindergarten children. Children were tested on phonological awareness (syllable awareness, onset-end rhyme awareness, and tone awareness), Pinyin letter naming, and visual perception (visual discrimination and visual-spatial relationships). The results showed that variance in Chinese character recognition could be explained by syllable awareness and tone awareness, but not by visual perception skills or Pinyin letter knowledge. Analyses further indicated that Pinyin letter knowledge moderated the relationship between tone awareness and Chinese character recognition. A focus on tone awareness and syllable awareness in the kindergarten may help Chinese children to accomplish the transition from phonological awareness to early literacy, while Pinyin letter knowledge can help children to make the connection between Chinese speech and writing.
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Full-text available
Three bodies of research that have developed in relative isolation center on each of three kinds of phonological processing: phonological awareness, awareness of the sound structure of language; phonological recoding in lexical access, recoding written symbols into a sound-based representational system to get from the written word to its lexical referent; and phonetic recoding in working memory, recoding written symbols into a sound-based representational system to maintain them efficiently in working memory. In this review we integrate these bodies of research and address the interdependent issues of the nature of phonological abilities and their causal roles in the acquisition of reading skills. Phonological ability seems to be general across tasks that purport to measure the three kinds of phonological processing, and this generality apparently is independent of general cognitive ability. However, the generality of phonological ability is not complete, and there is an empirical basis for distinguishing phonological awareness and phonetic recoding in working memory. Our review supports a causal role for phonological awareness in learning to read, and suggests the possibility of similar causal roles for phonological recoding in lexical access and phonetic recoding in working memory. Most researchers have neglected the probable causal role of learning to read in the development of phonological skills. It is no longer enough to ask whether phonological skills play a causal role in the acquisition of reading skills. The question now is which aspects of phonological processing (e.g., awareness, recoding in lexical access, recoding in working memory) are causally related to which aspects of reading (e.g., word recognition, word analysis, sentence comprehension), at which point in their codevelopment, and what are the directions of these causal relations?
Chapter
Memory-processing problems are more than a characteristic of children with learning disabilities (LDs). This chapter provides an overview of the cognitive processes that are involved in reading. It presents an approach to the problem of early reading disability that is being guided by the assumption that reading is first, and foremost, a language skill. Psychologists, educators, and medical doctors have tried to identify the basis of early reading difficulty, and their efforts have always been guided by a rationale of some sort or another that reflects some basic assumptions as to what skilled reading is all about. For this reason, a basic understanding of the assumptions behind the studies and experiments that seek to explain early reading problems is an obvious place to begin. To introduce these assumptions, the chapter describes how the English alphabet functions as written language by mapping onto the structure of spoken English.
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In a variety of situations in psychological research, it is desirable to be able to make statistical comparisons between correlation coefficients measured on the same individuals. For example, an experimenter may wish to assess whether two predictors correlate equally with a criterion variable. In another situation, the experimenter may wish to test the hypothesis that an entire matrix of correlations has remained stable over time. The present article reviews the literature on such tests, points out some statistics that should be avoided, and presents a variety of techniques that can be used safely with medium to large samples. Several illustrative numerical examples are provided.
Chapter
I started investigating phonological awareness because of its relationships with literacy acquisition. There is, however, a further passionately interesting issue for cognitive psychologists, namely, how phonological awareness is related to the language system. In some sense, phonological awareness lies, like a bridge, between language and literacy. It belongs to either function. On the one hand, phonological awareness refers to a special category of phonological representations; on the other hand, some of its forms are part of the process of literacy acquisition and remain tied to literacy codes. The aim of this chapter is to embrace both issues in an integrative manner.
Chapter
Pictures that allow the mind to behold invisible aspects of reality may be worth much more than the 1,000 words proclaimed in the adage, particularly to children in the midst of constructing cognitive schema to make sense of their experiences, and particularly when the picture entails a system of symbols organizing an entire dimension of experience. For example, when children learn to read printed language, they become able to visualize what they are saying and hearing. When children learn to read clocks and calendars, they acquire a visual means of representing the passage of time. When children learn to read music, they become able to visualize what is sung or played on an instrument. In each case, a visual-spatial representational system is acquired by the mind for perceiving and thinking about experiences which cannot be seen and which have temporal duration rather than physical extent as a basic property. Acquisition of a spatial model offers several potential advantages. It enables the possessor to hold onto and keep track of phenomena which themselves leave no trace or have no permanence. It imposes organization upon the phenomena by specifying units, subunits, and interrelationships which might otherwise be difficult to detect or discriminate. However, some degree of distortion or inaccuracy may also result because properties of space may not be completely isomorphic with properties of the nonspatial modality, and also because the spatial system, being a cultural invention, carries no guarantee that it is perfectly conceived.
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This groundbreaking study on the psycholinguistics of spelling presents the author's original empirical research on spelling and supplies the theoretical framework necessary to understand how children's ability to write is related to their ability to speak a language. The author explores areas in a field dominated by work traditionally concerned with the psychodynamics of reading skills and, in so doing, highlights the importance of learning to spell for both psycholinguists and educators, since as they begin to spell, children attempt to represent the phonological, or sound form, of words. The study of children's spelling can shed light on the nature of phonological systems and can illuminate the way sounds are organized into larger units, such as syllables and words. Research on children's spelling leads directly to an understanding of the way phonological knowledge is acquired and how phonological systems change with the development of reading and writing ability. In addition to this insight concerning cognitive processes, the findings presented here have implications for how spelling should be taught and why some writing systems are easier to master than others. The work will interest a wide range of cognitive and developmental psychologists, psycholinguists, and educational psychologists, as well as linguists and educators interested in psycholinguistics.
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A Monte Carlo evaluation of 4 test statistics for comparing dependent zero-order correlations was conducted. In particular, the power and Type I error rates of Hotelling's t; Williams' t; Olkin's z; and Meng, Rosenthal, and Rubin's Z were evaluated for sample sizes of 20, 50, 100, and 300 under 3 different population distributions (normal, uniform, and exponential). For the power analyses, 3 different magnitudes of discrepancy or effect sizes between ρy, x1, and ρy, x2 were examined (values of .1, .3, and .6). Likewise, for the Type I error rate analyses, 3 different magnitudes of the predictor-criterion correlations were evaluated (ρy, x1 = ρy, x2 = .1, .4, and .7). All of the analyses were conducted at 3 different levels of predictor intercorrelation (ρx1, x2 = .1, .3, and .6). The results indicated that the choice as to which test statistic is optimal, in terms of power and Type I error rate, depends not only on sample size and population distribution but also on (a) the predictor intercorrelation and (b) the effect size (for power) or the magnitude of the predictor-criterion correlations (for Type I error rate). The results extend and refine previous studies that have only manipulated sample size and population distribution and as such should have greater utility for applied researchers.
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ABSTRACTS The relationship between phonological awareness, short‐term memory, grammatical awareness, and reading accuracy was investigated in a follow‐up study of 34 9‐year‐olds originally studied as preschoolers. The best concurrent predictor set for reading accuracy at age 9 was grammatic knowledge, phoneme awareness, and speech rate, which together explained nearly 90% of the variance in reading skill. Phoneme deletion, nonword repetition, and letter knowledge measures taken at ages 5 and 6 predicted reading skill at age 9, while rhyme awareness proved a poor long‐term predictor. SE INVESTIGÓ la relación entre la conciencia fonológica, la memoria a corto plazo, la conciencia gramatical y la precisión en lectura en un estudio de seguimiento de 34 niños de 9 años estudiados originalmente como preescolares. El mejor conjunto de predictores concurrentes de la precisión en lectura a los 9 años fue el conocimiento gramatical, la conciencia fonológica y la velocidad del habla, los que explicaron casi el 90% de la varianza en habilidad de lectura. Las medidas de supresión de fonemas, repetición de pseudopalabras y conocimiento de las letras, tomadas a los 5 y 6 años predijeron la habilidad de lectura a los 9 años, en tanto que la sensibilidad a las rimas resultó un predictor pobre a largo plazo. DIE BEZIEHUNG zwischen phonologischem Bewußtsein, dem Kurzzeit‐Gedächtnis, grammatikalischer Erkenntnis und der Lesegenauigkeit wurde in einer Nachfolgestudie mit 34 Neunjährigen untersucht, welche ursprünglich als Vorschüler bereits beobachtet wurden. Die besten übereinstimmenden Vorhersagen, welche für die Lesegenauigkeit mit Erreichen des Alters von 9 Jahren festgesetzt wurden, waren grammatikalisches Wissen, phonemes Bewußtsein und die Aussprache‐Bemessung, welche zusammengenommen nahezu 90% der Abweichung bei der Lesefertigkeit erklärte. Phonemische Auslassungen, Silbenwiederholungen und Buchstabierkenntnisse als Bemessungen im Alter von 5 und 6 dienten zu Voraussagen über Leseleistungen im Alter von 9, während Rythmus‐Bewußtsein sich als schwacher Langzeit‐Vorhersagefaktor erwies. ON A examiné la relation entre conscience phonologique, mémoire à court terme, conscience grammaticale, et maîtrise de la lecture dans une étude longitudinale portant sur 34 enfants de 9 ans suivis depuis l'école maternelle. Le meilleur ensemble de prédicteurs simultanés pour la lecture à l'âge de 9 ans a été la connaissance de la grammaire, la conscience phonémique, et la maîtrise du langage qui en semble rendent compte de 90% de la variance du savoir‐lire. Les évaluations de suppression de phonèmes, répétition de non‐mots, et connaissance des lettres effectuées à 5 et 6 ans ont permis de prévoir le niveau de lecture à l'âge de 9 ans, tandis que la conscience de la rime s'est révélée être un mauvais prédicteur à long terme.