No full-text available
To read the full-text of this research,
you can request a copy directly from the authors.
Maternal supportiveness is predictive of childhood general intelligence
Abstract
Data from the Early Head Start Research and Evaluation Project (N = 1075) were used to test the hypothesis that maternal supportiveness (measured at three waves from 14 to 36 months) is positively and prospectively associated with a child's general intelligence (measured at five waves from 14 months to 10 years). Bivariate correlations showed that maternal supportiveness was consistently and positively associated with a child's general intelligence. For example, maternal supportiveness as measured at 14 months was correlated with a child's general intelligence at age 10; r = 0.35. Results of autoregressive cross-lagged panel models showed maternal supportiveness directly predicted future general intelligence through age four and indirectly, via age four general intelligence, up to age 10. Additional analyses verified that the effect of maternal supportiveness was on general intelligence and not specific abilities. The results point to the importance of maternal supportiveness on general intelligence in the first decade of life.
Maternal ratings of child temperament and observed maternal behaviors in the home were collected when children were 18 months old. Both variables were examined as predictors of mothers’ problem-solving behaviors with their toddlers at 30 months and the children’s independent problem solving at 5 years. Maternal instructional behavior in the home at 18 months and maternal ratings of temperament at 18 months predicted maternal behaviors when the children were 30 months old and child performance in a cognitive problem-solving task. Maternal cognitive assistance during the 18- and 30-month tasks also predicted child cognitive task performance in the laboratory at 5 years of age. These same maternal behaviors were related to the child’s performance on the Wechsler Preschool and Primary Scale of Intelligence (D. Wechsler, 1967) at age 5, and lack of maternal assistance was related to teacher ratings of learning problems at age 5.
Data from the Carolina Abecedarian Project (N � 104) was used to test the hypothesis that infants deemed at-risk who received an intensive and individualized intervention
would develop a slower life history (LH) strategy as measured in young adulthood.
Additionally, it was predicted that this effect on life history strategy would mediate several effects of the intervention. This possibility was tested in the areas of risk-taking, mental health, and cognitive ability.
Results supported the hypothesis that the intervention
caused a slowing of LH strategy and that LH strategy mediated the effect of the
intervention on risk-taking, mental health, and cognitive ability. Lastly, it was predicted
that any effects would be strongest at the most molar level of measurement. This was
found for a composite trait and cognitive ability, but not for risk-taking and mental
health. The results have several significant implications, but given the small sample
size, replication is especially important.
Miscellaneous functions for (1) data management (e.g., grand-mean and group-mean centering, coding variables and reverse coding items, scale and cluster scores, reading and writing Excel and SPSS files), (2) descriptive statistics (e.g., frequency table, cross tabulation, effect size measures), (3) missing data (e.g., descriptive statistics for missing data, missing data pattern, Little's test of Missing Completely at Random, and auxiliary variable analysis), (4) multilevel data (e.g., multilevel descriptive statistics, within-group and between-group correlation matrix, multilevel confirmatory factor analysis, level-specific fit indices, cross-level measurement equivalence evaluation, multilevel composite reliability, and multilevel R-squared measures), (5) item analysis (e.g., confirmatory factor analysis, coefficient alpha and omega, between-group and longitudinal measurement equivalence evaluation), and (6) statistical analysis (e.g., confidence intervals, collinearity and residual diagnostics, dominance analysis, between- and within-subject analysis of variance, latent class analysis, t-test, z-test, sample size determination).
Cognitive flexibility is a sophisticated form of executive functions that predicts a range of adaptive outcomes; however, little is known about which caregiving behaviors predict the rapid improvements in children’s cognitive flexibility during early childhood. This study examined whether ordinary variations in mothers’ provision of emotional and cognitive support during problem-solving predict children’s cognitive flexibility and tested whether children’s cognitive flexibility predicts caregiving behaviors across time. Two hundred and seventy-eight children and their caregivers (96% mothers) participated in laboratory visits when children were in preschool, kindergarten, and first grade. At each visit, cognitive flexibility was measured via a computerized version of the Dimensional Change Card Sort task and mothers’ behaviors were observed during a semi-structured problem-solving board game task. Results from autoregressive cross-lagged structural regression analyses indicated that mothers’ emotional support predicted greater child cognitive flexibility from preschool to kindergarten, and from kindergarten to first grade, after accounting for the stability in these constructs over time and controlling for the influence of maternal education, and child age and minority status. Mothers’ cognitive support did not predict child cognitive flexibility over time. Child cognitive flexibility did not lead to changes in caregiving behaviors over time. Findings suggest that mothers’ provision of emotional support during problem-solving may be an important proximal mechanism that contributes to children’s cognitive flexibility across early childhood.
This study examined the direct and indirect pathways from maternal effortful control to 2 aspects of children's self-regulation— executive functioning and behavioral regulation—via maternal emotional support. Two hundred seventy-eight children and their primary caregivers (96% mothers) participated in laboratory visits when children were 4 and 5 years, and teachers reported on children's behavior at kindergarten. At the 4-year assessment, maternal effortful control was measured using the Adult Temperament Questionnaire (Evans & Rothbart, 2007) and maternal emotional support was observed during a semistructured mother-child problem-solving task. At the 5-year assessment, children's executive functioning was measured using laboratory tasks designed to assess updating/working memory, inhibitory control, and cognitive flexibility, whereas behavioral regulation was assessed via teacher-report questionnaires on children's attention control, discipline and persistence, and work habits. Results from structural equation modeling indicated that, after controlling for child gender and minority status, and maternal education, maternal effortful control was indirectly associated with both child executive functioning and behavioral regulation through maternal emotional support. Maternal effortful control had a direct association with children's teacher-reported behavioral regulation but not observed executive functioning. These findings suggest that maternal effortful control may be a key contributing factor to the development of children's self-regulatory competencies through its impact on maternal emotional support.
The aim of this study was to investigate if normative variations in parenting relate to brain development among typically developing children. A sample of 352 mother-infant dyads came to the laboratory when infants were 5, 10, and 24 months of age (final N = 215). At each visit, child resting electroencephalography (EEG) was recorded. Mother-infant interactions were videotaped at the 5-month visit. The results indicated that higher quality maternal behavior during mother-infant interactions predicted higher frontal resting EEG power at 10 and 24 months, as well as increases in power between 5 and 10 months, and between 10 and 24 months. These findings provide rare support for the hypothesis that normative variation in parenting quality may contribute to brain development among typically developing infants.
Psychologists have long debated the role of early experience in social and cognitive development. However, traditional approaches to studying this issue are not well positioned to address this debate. The authors present simulations that indicate that the associations between early experiences and later outcomes should approach different asymptotic values across time, given alternative assumptions about the developmental significance of early experience. To test the predictions of alternative developmental models, the authors examine data from the National Institute of Child Health and Human Development (NICHD) Study of Early Child Care and Youth Development (SECCYD) on maternal sensitivity in the first 3 years of life and its association with social competence and academic skills through age 15. Across multimethod, multi-informant outcome data, results suggest that there may be enduring effects of early caregiving experiences in both of these domains.
The cross-lagged panel model (CLPM) is believed by many to overcome the problems associated with the use of cross-lagged correlations as a way to study causal influences in longitudinal panel data. The current article, however, shows that if stability of constructs is to some extent of a trait-like, time-invariant nature, the autoregressive relationships of the CLPM fail to adequately account for this. As a result, the lagged parameters that are obtained with the CLPM do not represent the actual within-person relationships over time, and this may lead to erroneous conclusions regarding the presence, predominance, and sign of causal influences. In this article we present an alternative model that separates the within-person process from stable between-person differences through the inclusion of random intercepts, and we discuss how this model is related to existing structural equation models that include cross-lagged relationships. We derive the analytical relationship between the cross-lagged parameters from the CLPM and the alternative model, and use simulations to demonstrate the spurious results that may arise when using the CLPM to analyze data that include stable, trait-like individual differences. We also present a modeling strategy to avoid this pitfall and illustrate this using an empirical data set. The implications for both existing and future cross-lagged panel research are discussed. (PsycINFO Database Record
(c) 2015 APA, all rights reserved).
Intelligence is a core construct in differential psychology and behavioural genetics, and should be so in cognitive neuroscience. It is one of the best predictors of important life outcomes such as education, occupation, mental and physical health and illness, and mortality. Intelligence is one of the most heritable behavioural traits. Here, we highlight five genetic findings that are special to intelligence differences and that have important implications for its genetic architecture and for gene-hunting expeditions. (i) The heritability of intelligence increases from about 20% in infancy to perhaps 80% in later adulthood. (ii) Intelligence captures genetic effects on diverse cognitive and learning abilities, which correlate phenotypically about 0.30 on average but correlate genetically about 0.60 or higher. (iii) Assortative mating is greater for intelligence (spouse correlations ~0.40) than for other behavioural traits such as personality and psychopathology (~0.10) or physical traits such as height and weight (~0.20). Assortative mating pumps additive genetic variance into the population every generation, contributing to the high narrow heritability (additive genetic variance) of intelligence. (iv) Unlike psychiatric disorders, intelligence is normally distributed with a positive end of exceptional performance that is a model for 'positive genetics'. (v) Intelligence is associated with education and social class and broadens the causal perspectives on how these three inter-correlated variables contribute to social mobility, and health, illness and mortality differences. These five findings arose primarily from twin studies. They are being confirmed by the first new quantitative genetic technique in a century-Genome-wide Complex Trait Analysis (GCTA)-which estimates genetic influence using genome-wide genotypes in large samples of unrelated individuals. Comparing GCTA results to the results of twin studies reveals important insights into the genetic architecture of intelligence that are relevant to attempts to narrow the 'missing heritability' gap.Molecular Psychiatry advance online publication, 16 September 2014; doi:10.1038/mp.2014.105.
The longitudinal rank-order stability of cognitive ability increases dramatically over the life span. Theoretical perspectives differ in their emphasis on genetic mechanisms in explaining the longitudinal stability of cognition and how stability changes with development. However, the patterns of stability of genetic and environmental influences on cognition over the life span remain poorly understood. We searched for longitudinal studies of cognition that reported raw genetically informative longitudinal correlations or parameter estimates from longitudinal behavior genetic models. We identified 150 combinations of time points and measures from 15 independent longitudinal samples. In total, longitudinal data came from 4,548 monozygotic twin pairs raised together, 7,777 dizygotic twin pairs raised together, 34 monozygotic twin pairs raised apart, 78 dizygotic twin pairs raised apart, 141 adoptive sibling pairs, and 143 nonadoptive sibling pairs, ranging in age from infancy through late adulthood. At all ages, cross-time genetic correlations and shared environmental correlations were substantially larger than cross-time nonshared environmental correlations. Cross-time correlations for genetic and shared environmental components were, respectively, low and moderate during early childhood, increased sharply over child development, and remained high from adolescence through late adulthood. Cross-time correlations for nonshared environmental components were low across childhood and gradually increased to moderate magnitudes in adulthood. Increasing phenotypic stability over child development was almost entirely mediated by genetic factors. Time-based decay of genetic and shared environmental stability was more pronounced earlier in child development. Results are interpreted in reference to theories of gene-environment correlation and interaction. (PsycINFO Database Record (c) 2014 APA, all rights reserved).
Genes account for between approximately 50% and 70% of the variation in cognition at the population level. However, population-level estimates of heritability potentially mask marked subgroup differences. We review the body of empirical evidence indicating that (a) genetic influences on cognition increase from infancy to adulthood, and (b) genetic influences on cognition are maximized in more advantaged socioeconomic contexts (i.e., a Gene × Socioeconomic Status interaction). We discuss potential mechanisms underlying these effects, particularly transactional models of cognitive development. Transactional models predict that people in high-opportunity contexts actively evoke and select positive learning experiences on the basis of their genetic predispositions; these learning experiences, in turn, reciprocally influence cognition. The net result of this transactional process is increasing genetic influence with increasing age and increasing environmental opportunity.
Ronald Wilson presented the first clear and compelling evidence that the heritability of IQ increases with age. We propose to call the phenomenon 'The Wilson Effect' and we document the effect diagrammatically with key twin and adoption studies, including twins reared apart, that have been carried out at various ages and in a large number of different settings. The results show that the heritability of IQ reaches an asymptote at about 0.80 at 18-20 years of age and continuing at that level well into adulthood. In the aggregate, the studies also confirm that shared environmental influence decreases across age, approximating about 0.10 at 18-20 years of age and continuing at that level into adulthood. These conclusions apply to the Westernized industrial democracies in which most of the studies have been carried out.
Two genetic findings from twin research have far-reaching implications for understanding individual differences in the development of brain function as indexed by general cognitive ability (g, aka intelligence): (1) The same genes affect g throughout development, even though (2) heritability increases. It is now possible to test these hypotheses using DNA alone. From 1.7 million DNA markers and g scores at ages 7 and 12 on 2875 children, the DNA genetic correlation from age 7 to 12 was 0.73, highly similar to the genetic correlation of 0.75 estimated from 6702 pairs of twins from the same sample. DNA-estimated heritabilities increased from 0.26 at age 7 to 0.45 at age 12; twin-estimated heritabilities also increased from 0.35 to 0.48. These DNA results confirm the results of twin studies indicating strong genetic stability but increasing heritability for g, despite mean changes in brain structure and function from childhood to adolescence.Molecular Psychiatry advance online publication, 29 January 2013; doi:10.1038/mp.2012.191.
This article reports longitudinal data on the link between the affective quality of the mother–child relationship and school-relevant cognitive performance. Sixty-seven mothers and their children participated in the first (preschool) phase of the study; 47 were included in a follow-up when the children were 12 years of age. The affective quality of the mother–child relationship when the child was 4 years of age was significantly correlated with mental ability at age 4, school readiness at ages 5–6, IQ at age 6, and school achievement at age 12. These associations remained significant when the contributions of maternal IQ, socioeconomic status (SES), and children's mental ability at age 4 were taken into account. Our findings suggest that affective relationships may influence cognitive growth in three ways: (a) by affecting parent's tendency to engage and support children in solving problems; (b) by affecting children's social competence and, consequently, the flow of information between children and adults; and (c) by affecting children's exploratory tendencies, hence their willingness to approach and persist in tasks. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
Contends, based on a constructionist position on epistemology, that scientific knowledge (and knowledge of all kinds) is a construction of the human mind. Meaning is attributed to sensory data in theoretically guided inventions of "facts." At different times and places, facts invented in one theory become different facts in another. In each generation, psychologists have favored variables that serve loyally within the theoretical boundaries of the scientific wisdom of that time. It is argued that favored variables can blind scientists to other theories and other variables that could compete for favor. What makes theories and facts plausible is examined, and a continuum of persuasion, determined by the contexts of the theorists is proposed. Contemporary research on lead exposure and on parent–child interaction are examined as examples of facts that can become different facts in other theories. (19 ref) (PsycINFO Database Record (c) 2012 APA, all rights reserved)
Do parents have any important long-term effects on the development of their child's personality? This article examines the evidence and concludes that the answer is no. A new theory of development is proposed: that socialization is context-specific and that outside-the-home socialization takes place in the peer groups of childhood and adolescence. Intra- and intergroup processes, not dyadic relationships, are responsible for the transmission of culture and for environmental modification of children's personality characteristics. The universality of children's groups explains why development is not derailed by the wide variations in parental behavior found within and between societies. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
Can interventions meaningfully increase intelligence? If so, how? The Database of Raising Intelligence is a continuously updated compendium of randomized controlled trials that were designed to increase intelligence. In this article, the authors examine nearly every available intervention involving children from birth to kindergarten, using meta-analytic procedures when more than 3 studies tested similar methods and reviewing interventions when too few were available for meta-analysis. This yielded 4 meta-analyses on the effects of dietary supplementation to pregnant mothers and neonates, early educational interventions, interactive reading, and sending a child to preschool. All 4 meta-analyses yielded significant results: Supplementing infants with long-chain polyunsaturated fatty acids, enrolling children in early educational interventions, reading to children in an interactive manner, and sending children to preschool all raise the intelligence of young children.
© The Author(s) 2013.
This investigation involved the longitudinal assessment of 30 preterm and 39 full-term infants from 2 to 5 years of age. Measures of cognitive outcome at 2 and 5 years of age and mother-child dyadic synchrony and affect during free-play interaction were obtained at 5 years of age. Correlational and regression analyses indicated that 5-year cognitive outcome was predicted by 2-year cognitive status, mother education, and 5-year dyadic interaction. In addition, 5-year maternal positive affect contributed independently to children's cognitive status at age 5, above and beyond the contributions of early cognitive status and maternal education. Also, affect and synchrony interacted in predicting lower cognitive abilities. Findings are discussed in relation to the importance of maternal affect and synchronous interactions in transactional explanations of development during early childhood.
Multivariate Imputation by Chained Equations (MICE) is the name of software for imputing incomplete multivariate data by Fully Conditional Speci cation (FCS). MICE V1.0 appeared in the year 2000 as an S-PLUS library, and in 2001 as an R package. MICE V1.0 introduced predictor selection, passive imputation and automatic pooling. This article presents MICE V2.0, which extends the functionality of MICE V1.0 in several ways. In MICE V2.0, the analysis of imputed data is made completely general, whereas the range of models under which pooling works is substantially extended. MICE V2.0 adds new functionality for imputing multilevel data, automatic predictor selection, data handling, post-processing imputed values, specialized pooling and model selection. Imputation of categorical data is improved in order to bypass problems caused by perfect prediction. Special attention to transformations, sum scores, indices and interactions using passive imputation, and to the proper setup of the predictor matrix. MICE V2.0 is freely available from CRAN as an R package mice. This article provides a hands-on, stepwise approach to using mice for solving incomplete data problems in real data.
We explored how a constellation of factors affected vocabulary development of infants (N = 556; 49.6% male) from families comprising the control group of the Early Head Start Research Evaluation project. Predictors assessed at age 14 months accounted for 23.5%, 25.8%, and 30.6% of variance in receptive vocabulary (Peabody Picture Vocabulary Test) at 36 months, Pre-K, and Grade 5, respectively. Joint engagement, assessed during free play (3-bags task), and infant cognitive ability (Bayley Mental Development Index) had direct associations with vocabulary knowledge. Gestational age was indirectly associated with vocabulary knowledge via infant cognitive ability. Home environment, maternal education, maternal distress, and child gender had some direct and/or indirect effects. Latent factors were partially invariant for subgroups with Black/African American and White/European American mothers. Findings suggest a long-term impact of joint engagement on vocabulary growth at least through Grade 5, highlighting the importance of interventions to support mothers and infants living in poverty.
The random intercept cross-lagged panel model (RI-CLPM) is an extension of the traditional cross-lagged panel model (CLPM) that allows controlling for stable trait factors when estimating cross-lagged effects. It has been argued that the RI-CLPM more appropriately accounts for trait-like, time-invariant stability of many psychological constructs and that it should be preferred over the CLPM when at least three waves of measurement are available. The basic idea of the RI-CLPM is to decompose longitudinal associations between two constructs into stable between-person associations and temporal within-person dynamics. The present article critically examines the RI-CLPM from a causal inference perspective. Using formal analysis and simulated data, we show that the RI-CLPM has limited potential to control for unobserved stable confounder variables when estimating cross-lagged effects. The CLPM with additional lag-2 effects sufficiently controls for delayed effects, as long as all relevant covariates are measured. Furthermore, we clarify that, in general, the RI-CLPM targets a different causal estimand than the CLPM. Whereas the cross-lagged effect in the CLPM targets the effect of increasing the exposure by one unit, the within-person cross-lagged effect in the RI-CLPM provides an estimate of the effect of increasing the exposure by one unit around the person mean. We argue that this within-person causal effect is typically less relevant for testing causal hypotheses with longitudinal data because it only captures temporary fluctuations around the individual person means and ignores the potential effects of causes that explain differences between persons.
In this article, we discuss theory and research on how individual differences in adult attachment mediate the adaptive calibration of reproductive strategies, cognitive schemas, and emotional expression and regulation. We first present an integration of attachment theory and life history theory. Then, we discuss how early harsh and/or unpredictable environments may promote insecure attachment by hampering parents' ability to provide sensitive and reliable care to their children. Finally, we discuss how, in the context of harsh and/or unpredictable environments, different types of insecure attachment (i.e. anxiety and avoidance) may promote evolutionary adaptive reproductive strategies, cognitive schemas, and emotional expression and regulation profiles.
The aim of this study was to investigate the association between maternal sensitivity and offspring intelligence in late childhood and adolescence. Secondary data ( N =117) from the Block and Block (2006a, b) 30-year longitudinal study of Californian children, which began in the late 1960s, was used to test the hypothesis that maternal sensitivity in childhood would be predictive of late childhood and adolescent intelligence. Correlational analyses revealed that maternal sensitivity, as judged by raters viewing mother’s interactions with their children in a set of four joint structured cognitive tasks when the child was 5 years of age, was associated with verbal and performance IQ test scores when the children were ages 11 and 18. Using hierarchical regression to control for child sex, socioeconomic status, child temperament, child baseline IQ (as measured at age 4), mother’s level of education and mother’s emotional nurturance, it was found that the maternal sensitivity and child and adolescent IQ association held for verbal, but not performance IQ. Furthermore, a pattern emerged in which the association between maternal sensitivity and verbal IQ was stronger for adolescents with a lower baseline IQ. The results suggest that maternal sensitivity is associated with offspring verbal intelligence and that this association holds when numerous variables are accounted for. Additionally, this association may be stronger for children with lower IQs.
Growing recognition of disparities in early childhood language environments prompts examination of parent-child interactions, which support vocabulary. Research links parental sensitivity and cognitive stimulation to child language, but has not explicitly contrasted their effects, nor examined how effects may change over time. We examined maternal sensitivity and stimulation throughout infancy using two observational methods-ratings of parents' interaction qualities and coding of discrete parenting behaviors-to assess the relative importance of these qualities to child vocabulary over time and determine whether mothers make related changes in response to children's development. Participants were 146 infants and mothers, assessed when infants were 14, 24, and 36 months. At 14 months, sensitivity had a stronger effect on vocabulary than did stimulation, but the effect of stimulation grew throughout toddlerhood. Mothers' cognitive stimulation grew over time, whereas sensitivity remained stable. While discrete parenting behaviors changed with child age, there was no evidence of trade-offs between sensitive and stimulating behaviors, and no evidence that sensitivity moderated the effect of stimulation on child vocabulary. Findings demonstrate specificity of timing in the link between parenting qualities and child vocabulary, which could inform early parent interventions, and support a reconceptualization of the nature and measurement of parental sensitivity.
Objective . This article describes the videotaped mother–child interaction procedures and coding used in the Early Head Start Research and Evaluation Project, a sample of low-income families, half of whom received the Early Head Start services (treatment group) and half of whom did not (control group), based on within-site random assignment (17 sites). A total of 1,838 dyads were observed and videotaped in the home (39% European American, 36% African American, and 25% Latin American). Design . When the children were 1, 2, and 3 years of age, a “Three Bag” semi-structured play activity was conducted, and when the children were 5 years of age, a “Play Dough task” was conducted. Results . Psychometric properties of the coding scales were similar for the three groups and across the four ages. In general, mean scores were higher on positive and lower on negative mothering for European American dyads than for African American or Latin American dyads. Ethnic differences were generally greatest for positive, and smallest for negative, mothering behaviors. Ethnic differences decreased as children got older. Differences were reduced when controlling for a number of socioeconomic status and other characteristics on average by 40%. Intercorrelations across age were stronger for positive, and smaller for negative mothering; even smaller intercorrelations were found for child behaviors. Conclusions . The coding system developed for Early Head Start was reliable and valid across three ethnic groups of low-income families. Ethnic differences were partially accounted for by other family characteristics. Some stability in mothering behaviors over time was seen (especially for positive mothers), although correlations were modest.
This study examined the concurrent and longitudinal associations of parental responsiveness and inferential language input with cognitive skills and emotion knowledge among socioeconomically disadvantaged preschoolers. Parents and 2- to 4-year-old children (mean age=3.21 years, N=284) participated in a parent-child free play session, and children completed cognitive (language, early literacy, early mathematics) and emotion knowledge assessments. Approximately 1year later, children completed the same assessment battery. Parental responsiveness was coded from the videotaped parent-child free play sessions, and parental inferential language input was coded from transcripts of a subset of 127 of these sessions. All analyses controlled for child age, gender, and parental education, and longitudinal analyses controlled for initial skill level. Parental responsiveness significantly predicted all concurrent cognitive skills as well as literacy, math, and emotion knowledge 1year later. Parental inferential language input was significantly positively associated with children's concurrent emotion knowledge. In longitudinal analyses, an interaction was found such that for children with stronger initial language skills, higher levels of parental inferential language input facilitated greater vocabulary development, whereas for children with weaker initial language skills, there was no association between parental inferential language input and change in children's vocabulary skills. These findings further our understanding of the roles of parental responsiveness and inferential language input in promoting children's school readiness skills.
Copyright © 2014 Elsevier Inc. All rights reserved.
This study leveraged data from the Minnesota Longitudinal Study of Risk and Adaptation (N = 243) to investigate the predictive significance of maternal sensitivity during the first 3 years of life for social and academic competence through age 32 years. Structural model comparisons replicated previous findings that early maternal sensitivity predicts social skills and academic achievement through midadolescence in a manner consistent with an enduring effects model of development and extended these findings using heterotypic indicators of social competence (effectiveness of romantic engagement) and academic competence (educational attainment) during adulthood. Although early socioeconomic factors and child gender accounted for the predictive significance of maternal sensitivity for social competence, covariates did not fully account for associations between early sensitivity and academic outcomes.
© 2014 The Authors. Child Development © 2014 Society for Research in Child Development, Inc.
Basics Introduction The problem of missing data Concepts of MCAR, MAR and MNAR Simple solutions that do not (always) work Multiple imputation in a nutshell Goal of the book What the book does not cover Structure of the book Exercises Multiple imputation Historic overview Incomplete data concepts Why and when multiple imputation works Statistical intervals and tests Evaluation criteria When to use multiple imputation How many imputations? Exercises Univariate missing data How to generate multiple imputations Imputation under the normal linear normal Imputation under non-normal distributions Predictive mean matching Categorical data Other data types Classification and regression trees Multilevel data Non-ignorable methods Exercises Multivariate missing data Missing data pattern Issues in multivariate imputation Monotone data imputation Joint Modeling Fully Conditional Specification FCS and JM Conclusion Exercises Imputation in practice Overview of modeling choices Ignorable or non-ignorable? Model form and predictors Derived variables Algorithmic options Diagnostics Conclusion Exercises Analysis of imputed data What to do with the imputed data? Parameter pooling Statistical tests for multiple imputation Stepwise model selection Conclusion Exercises Case studies Measurement issues Too many columns Sensitivity analysis Correct prevalence estimates from self-reported data Enhancing comparability Exercises Selection issues Correcting for selective drop-out Correcting for non-response Exercises Longitudinal data Long and wide format SE Fireworks Disaster Study Time raster imputation Conclusion Exercises Extensions Conclusion Some dangers, some do's and some don'ts Reporting Other applications Future developments Exercises Appendices: Software R S-Plus Stata SAS SPSS Other software References Author Index Subject Index
Maternal parenting behaviors during a mother–infant play interaction were examined in a sample of 160 low-income mothers and their 15-month-old infants. Maternal responsive/didactic, intrusive, and negative behaviors were coded from videotapes and examined in relation to mothers’ age, marital status, stressful life events, and depressive symptoms, and infants’ cognitive scores at 15 and 25 months. Younger maternal age and increases in stressful life events were associated with increases in mothers’ negative behaviors whereas being married was positively associated with mothers’ responsive/didactic behaviors and inversely associated with their negative and intrusive behaviors. Mothers’ depressive symptoms were inversely associated with both responsive/didactic and intrusive behaviors and predicted lower cognitive scores in infants at 15 months, but not 25 months. Maternal responsive/didactic behaviors predicted infant cognitive scores at both ages after controlling for maternal characteristics and other parenting behaviors. Intrusiveness moderated associations between both responsive/didactic and negative parenting behaviors and infant 25-month cognition. Maternal age, marital status, psychological resources, and contextual sources of stress play a central role in the quality of parenting among low-income mothers, and positive mother–infant interactions are strong predictors of infants’ early cognitive status.
The study examined the extent to which aspects of the home environment play a mediating role in the relation between maternal and child IQ. The procedure of establishing mediation developed by Baron and Kenny was followed using 608 low birthweight, premature infants from eight different sites. Regression analyses indicated that both maternal IQ and Infant/ Toddler HOME scores obtained at 12 months made significant contributions to 3 year child IQ scores. Maternal IQ and Early Childhood HOME scores obtained at 36 months also both made significant contributions to 3 year child IQ scores. There was a significant "indirect" or mediated affect associated with HOME scores at both time points. Structural equation models were used to confirm information developed in the regression analyses. The fit of the model was good for the total sample and for a sample of children and mothers whose IQs were both greater than 70. A stronger indirect effect was noted at three years as compared to one year.
Early development is likely influenced by quality of early parenting and improvements or declines in quality over time. Little is known about how changes in different dimensions of parenting influence child outcomes, nor the relative sizes of associations when considering several aspects simultaneously. These questions are addressed in the Early Head Start Research and Evaluation Project (N = 1273). Assessments occurred when children were 1, 2, 3, and 5 years old. Parent supportiveness (videotaped play interactions), home learning environment (observed), and depressive symptoms and parenting stress (self-report) were assessed. Children's school readiness at age 5 was assessed via receptive vocabulary, letter–word knowledge, observed emotion regulation, approaches toward learning, and behavior problems. In this low-income sample, early parenting as well as change over time predicted school readiness. Associations mostly followed predictions from the family stress model and cognitive stimulation models; learning environment and maternal supportiveness were most strongly associated with child vocabulary and letter–word knowledge, although supportiveness was also linked with observed emotion regulation, and learning environment early on was also linked with emotion regulation, and early learning environment was also linked with emotion regulation, and early learning environment was also linked with behavior problems and approaches toward learning. Depressive symptoms and parenting stress were more strongly associated with behavior problems, although early parenting stress was also associated with approaches toward learning and emotion regulation.
Behavior genetics has demonstrated that genetic variance is an important component of variation for all behavioral outcomes, but variation among families is not. These results have led some critics of behavior genetics to conclude that heritability is so ubiquitous as to have few consequences for scientific understanding of development, while some behavior genetic partisans have concluded that family environment is not an important cause of developmental outcomes. Both views are incorrect. Genotype is in fact a more systematic source of variability than environment, but for reasons that are methodological rather than substantive. Development is fundamentally nonlinear, interactive, and difficult to control experimentally. Twin studies offer a useful methodological shortcut, but do not show that genes are more fundamental than environments.
A common concern when faced with multivariate data with missing values is whether the missing data are missing completely at random (MCAR); that is, whether missingness depends on the variables in the data set. One way of assessing this is to compare the means of recorded values of each variable between groups defined by whether other variables in the data set are missing or not. Although informative, this procedure yields potentially many correlated statistics for testing MCAR, resulting in multiple-comparison problems. This article proposes a single global test statistic for MCAR that uses all of the available data. The asymptotic null distribution is given, and the small-sample null distribution is derived for multivariate normal data with a monotone pattern of missing data. The test reduces to a standard t test when the data are bivariate with missing data confined to a single variable. A limited simulation study of empirical sizes for the test applied to normal and nonnormal data suggests that the test is conservative for small samples.
In a study of 40 infants 3 classes of variables were studied; those related to (1) need gratification and tension reduction, (2) stimulation and conditions of learning, and (3) affectional-emotional interchange between mother and infant. Stimulus-adaptation, achievement stimulation, social stimulation, communication, and positive-affective expression show high relationships to aspects of infant behavior at six months. Maternal stimulation is highly related to developmental progress. High positive-affect is related to social responsiveness. Variables of maternal care have an immediate impact on the infant; influence on later personality is not yet known. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
Caregiver–child interactions were measured when children were ages 6, 13, and 24 mo and again at age 6 yrs, and related to assessments of cognitive competence at ages 6 (
n = 79) and 8 yrs (
n = 85). Children's temperament and developmental status also were assessed during the 1st 2 yrs and examined as potential mediational links in relations between early caregiving and later competence. Instruments included the Home Observation for Measurement of the Environment, the Infant Characteristics Questionnaire, Bayley Mental State of Infant Development, and a maternal perceptions questionnaire. Two major dimensions of maternal behavior, nonrestrictiveness and verbal stimulation, were significant predictors of children's later cognitive competence. These relations were not artifacts of variations in family SES, children's early temperament, or developmental status. (PsycINFO Database Record (c) 2012 APA, all rights reserved)
This article examines the adequacy of the “rules of thumb” conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice. Using a 2‐index presentation strategy, which includes using the maximum likelihood (ML)‐based standardized root mean squared residual (SRMR) and supplementing it with either Tucker‐Lewis Index (TLI), Bollen's (1989) Fit Index (BL89), Relative Noncentrality Index (RNI), Comparative Fit Index (CFI), Gamma Hat, McDonald's Centrality Index (Mc), or root mean squared error of approximation (RMSEA), various combinations of cutoff values from selected ranges of cutoff criteria for the ML‐based SRMR and a given supplemental fit index were used to calculate rejection rates for various types of true‐population and misspecified models; that is, models with misspecified factor covariance(s) and models with misspecified factor loading(s). The results suggest that, for the ML method, a cutoff value close to .95 for TLI, BL89, CFI, RNI, and Gamma Hat; a cutoff value close to .90 for Mc; a cutoff value close to .08 for SRMR; and a cutoff value close to .06 for RMSEA are needed before we can conclude that there is a relatively good fit between the hypothesized model and the observed data. Furthermore, the 2‐index presentation strategy is required to reject reasonable proportions of various types of true‐population and misspecified models. Finally, using the proposed cutoff criteria, the ML‐based TLI, Mc, and RMSEA tend to overreject true‐population models at small sample size and thus are less preferable when sample size is small.
In order to assess the relative strengths of mothers' education, parenting styles, and children's experience of preschool in predicting children's verbal attainment scores, this study made use of data derived from a cohort of children born in England, Wales, and Scotland in March of 1946 (N = 5,362). The parenting styles of cohort members have been studied from the time members' firstborn children were 4 years old. Tests administered when these second-generation children were 8 years old assessed children's abilities in vocabulary, reading, and sentence completion. Although preschool experience was an independent and significant predictor of verbal attainment scores, its power was small when compared with mothers' education. In addition, preschool attendance had no significance in predicting the scores of children whose mothers were relatively understimulating.
The current study examined whether socioeconomic status (SES) and chaos in the home mediate the shared environmental variance associated with cognitive functioning simultaneously estimating genetic influences in a twin design. Verbal and nonverbal cognitive development were assessed at 3 and 4 years for identical and same-sex fraternal twin pairs participating in the Twins Early Development Study (TEDS). Verbal and nonverbal skills were measured using the McArthur Scales of Language Development (VERBAL) and the Parent Report of Children's Abilities (PARCA), respectively. SES and chaos were assessed via questionnaire. Results suggest that SES and CHAOS mediate an independent and significant, but modest, portion of the shared environment for VERBAL and PARCA at Ages 3 and 4.
Parenting is traditionally conceptualized as an exogenous environment that affects child development. However, children can also influence the quality of parenting that they receive. Using longitudinal data from 650 identical and fraternal twin pairs, we found that, controlling for cognitive ability at age 2 years, cognitive stimulation by parents (coded from video recorded behaviors during a dyadic task) at 2 years predicted subsequent reading ability at age 4 years. Moreover, controlling for cognitive stimulation at 2 years, children's cognitive ability at 2 years predicted the quality of stimulation received from their parents at 4 years. Genetic and environmental factors differentially contributed to these effects. Parenting influenced subsequent cognitive development through a family-level environmental pathway, whereas children's cognitive ability influenced subsequent parenting through a genetic pathway. These results suggest that genetic influences on cognitive development occur through a transactional process, in which genetic predispositions lead children to evoke cognitively stimulating experiences from their environments.
A critique of research examining whether early experiences with primary caregivers are reflected in adaptation is that relevant longitudinal studies have generally not employed genetically informed research designs capable of unconfounding shared genes and environments. Using the twin subsample (N = 485 pairs) of the Early Childhood Longitudinal Study-Birth Cohort, the current study provides evidence that early parental support (derived from observations at 24 months and around age 4, in prekindergarten) is associated with academic skills (r = .32), social competence (r = .15), and externalizing behavior (r = -.11) in kindergarten. Crucially, the shared environment accounted for virtually all of the correlation between parenting and academic skills, roughly half of the association between parenting and social competence, and approximately one fourth of the correlation between parenting and externalizing behavior.
This review presents a practical summary of the missing data literature, including a sketch of missing data theory and descriptions of normal-model multiple imputation (MI) and maximum likelihood methods. Practical missing data analysis issues are discussed, most notably the inclusion of auxiliary variables for improving power and reducing bias. Solutions are given for missing data challenges such as handling longitudinal, categorical, and clustered data with normal-model MI; including interactions in the missing data model; and handling large numbers of variables. The discussion of attrition and nonignorable missingness emphasizes the need for longitudinal diagnostics and for reducing the uncertainty about the missing data mechanism under attrition. Strategies suggested for reducing attrition bias include using auxiliary variables, collecting follow-up data on a sample of those initially missing, and collecting data on intent to drop out. Suggestions are given for moving forward with research on missing data and attrition.
In this review, we examined the published reports on the heritability of cognitive functioning in old age. Twenty-four papers from five study centers, comprising of participants with a mean age of 65 years and above were examined. The comparability of findings from different studies was compromised by the use of different measures for the same cognitive domain, and with large scale twin studies in cognitive aging limited to a few Scandinavian countries. While the results from cross-sectional samples appear to lend support for the notion that heritability of cognitive functions decreases in the elderly, the findings are best considered inconclusive. Longitudinal reports show little evidence for genetic effects, but an increase in unique environmental influences on the rate of cognitive change as age increases. In relation to the two prominent theories of cognitive aging, the genetic influence on processing speed as a major contributor to cognitive aging has been indicated in three reports, whereas the genetic relationship between executive functions and other cognitive functions has not been explored. Only two studies have focused on sex difference and did not find sex-specific genetic influence in cognitive abilities. This review indicates that there are complex relationships between heritability, environmental influence, and cognitive functions in the elderly. It highlights the need for more research, with consistent and appropriate cognitive measures, with data obtained from larger and more geographically and culturally diverse twin samples.
Thesis (Ph. D.)--Yale University. Microfilm edition (1 reel) Positive; filmed by University Microfilms. Bibliography: p. [147]-161.
A pesar de la relativamente corta historia de la Psicología como ciencia, existen pocos constructos psicológicos que perduren 90 años después de su formulación y que, aún más, continúen plenamente vigentes en la actualidad. El factor «g» es sin duda alguna uno de esos escasos ejemplos y para contrastar su vigencia actual tan sólo hace falta comprobar su lugar de preeminencia en los modelos factoriales de la inteligencia más aceptados en la actualidad, bien como un factor de tercer orden en los modelos jerárquicos o bien identificado con un factor de segundo orden en el modelo del recientemente desaparecido R.B.Cattell.
Maximum likelihood factor analysis provides an effective method for estimation of factor matrices and a useful test statistic
in the likelihood ratio for rejection of overly simple factor models. A reliability coefficient is proposed to indicate quality
of representation of interrelations among attributes in a battery by a maximum likelihood factor analysis. Usually, for a
large sample of individuals or objects, the likelihood ratio statistic could indicate that an otherwise acceptable factor
model does not exactly represent the interrelations among the attributes for a population. The reliability coefficient could
indicate a very close representation in this case and be a better indication as to whether to accept or reject the factor
solution.