Journal of applied measurement (J Appl Meas )

Description

Journal of Applied Measurement publishes refereed scholarly work from all academic disciplines that relates to measurement theory and its application to developing variables. The construction and interpretation of meaningful and unambiguous variables is a salient feature of measurement. It represents the congruence of measurement theory and substantive research in a wide range of scientific endeavors. The development of variables that map the persons and items onto a common metric, operational defined by the items, that are invariant across samples of persons and items, is a cornerstone of developing an understanding of the phenomena being measured and the construction and verification of hypotheses based on these phenomena. The journal will also publish invited articles that provide examples of methodological issues that are relevant to constructing useful variables.

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  • 5-year impact
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  • Website
    Journal of Applied Measurement website
  • Other titles
    Journal of applied measurement
  • ISSN
    1529-7713
  • OCLC
    43888528
  • Material type
    Periodical
  • Document type
    Journal / Magazine / Newspaper

Publications in this journal

  • [Show abstract] [Hide abstract]
    ABSTRACT: Several concepts from Georg Rasch's last papers are discussed. The key one is comparison because Rasch considered the method of comparison fundamental to science. From the role of comparison stems scientific inference made operational by a properly developed frame of reference producing specific objectivity. The exact specifications Rasch outlined for making comparisons are explicated from quotes, and the role of causality derived from making comparisons is also examined. Understanding causality has implications for what can and cannot be produced via Rasch measurement. His simple examples were instructive, but the implications are far reaching upon first establishing the key role of comparison.
    Journal of applied measurement 01/2014; 15(1):26-39.
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    ABSTRACT: The aim of this study is to reevaluate validity of Turkish version of the ECOS-16 questionnaire by using Rasch analysis in post-menopausal women with osteoporosis. ECOS-16 (Assessment of health related quality of life in osteoporosis) is a quality of life questionnaire, which is convenient for measuring the quality of life of post-menopausal women with osteoporosis. 132 post-menopausal women with osteoporosis who attended Uludag Universtity, Ataturk Rehabilitation and Research Center between January 2010 and March 2011 were included in this study. The subjects filled out Turkish version of ECOS-16 questionnaire by themselves. The Rasch model was used for assessing construct validity of ECOS-16 data. Internal consistency was assessed by Cronbach's alpha coefficient. The mean infit and outfit mean square (z std) were found as 1.08 (0.1) and 1.02 (-0.1), respectively. The separation indices for the item and person were found as 7.72 and 3.13; the separation reliabilities were 0.98 and 0.91, respectively. Cronbach's alpha coefficient was found as 0.90. The construct validity of ECOS-16 questionnaire was assessed by Rasch analysis.
    Journal of applied measurement 01/2014; 15(3):302-312.
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    ABSTRACT: Research indicates that the scope of practice for primary care physicians has been shrinking (Tong, Makaroff, Xierali, Parhat, Puffer, Newton, et al., 2012; Xierali, Puffer, Tong, Bazemore, and Green, 2012; and Bazemore, Makaroff, Puffer, Parhat, Phillips, Xierali, et al., 2012) despite research showing that areas with robust primary care services have better population health outcomes at lower costs (Starfield, Shi, and Macinko, 2005). Examining issues related to the scope of practice for primary care physicians has wide-ranging implications for both patient health outcomes and related healthcare costs. This article describes the development and use of a scale intended to measure the breath of the individual physician's scope of practice using 22 self-reported, dichotomous indicators obtained from a physician survey.
    Journal of applied measurement 01/2014; 15(3):227-239.
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    ABSTRACT: This article describes a study investigating the effect of intervention on student problem solving and higher order competency development using a series of complex numeracy performance tasks (Airasian and Russell, 2008). The tasks were sequenced to promote and monitor student development towards hypothetico-deductive reasoning. Using Rasch partial credit analysis (Wright and Masters, 1982) to calibrate the tasks and analysis of residual gain scores to examine the effect of class and school membership, the study illustrates how directed intervention can improve students' higher order competency skills. This paper demonstrates how the segmentation defined by Wright and Masters can offer a basis for interpreting the construct underlying a test and how segment definitions can deliver targeted interventions. Implications for teacher intervention and teaching mentor schemes are considered. The article also discusses multilevel regression models that differentiate class and school effects, and describes a process for generating, testing and using value added models.
    Journal of applied measurement 01/2014; 15(1):53-68.
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    ABSTRACT: Recently the linear logistic test model (LLTM) by Fischer (1973) is increasingly used. In applications of LLTM, a likelihood-ratio test comparing the likelihood of the LLTM to the likelihood of the Rasch model is the most often applied model test. The present simulation study evaluates the empirical Type I risk, test power, and approximation to the expected distribution in the context of the LLTM. Furthermore, as possible influence factors on the distribution of the likelihood-ratio test statistic, the misspecification of the superior model, the closeness to singularity of the design matrix, and different sorts of misspecification of the design matrix are implemented. In summary, results of the simulations indicate that the likelihood-ratio test statistic holds the fixed Type I risk under typical conditions. Nevertheless, it is especially important to ensure the fit of the superior model, the Rasch model, and to consider the closeness to singularity of the design matrix.
    Journal of applied measurement 01/2014; 15(3):252-266.
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    ABSTRACT: A large body of literature exists describing how rater effects may be detected in rating data. In this study, we compared the flag and agreement rates for several rater effects based on calibration of a real data under two psychometric models-the Rasch rating scale model (RSM) and the Rasch testlet-based rater bundle model (RBM). The results show that the RBM provided more accurate diagnoses of rater severity and leniency than do the RSM which is based on the local independence assumption. However, the statistical indicators associated with rater centrality and inaccuracy remain consistent between these two models.
    Journal of applied measurement 01/2014; 15(2):152-9.
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    ABSTRACT: Recently, the Individual Work Performance Questionnaire (IWPQ) version 0.2 was developed using Rasch analysis. The goal of the current study was to improve targeting of the IWPQ scales by including additional items. The IWPQ 0.2 (original) and 0.3 (including additional items) were examined using Rasch analysis. Additional items that showed misfit or did not improve targeting were removed from the IWPQ 0.3, resulting in a final IWPQ 1.0. Subsequently, the scales showed good model fit and reliability, and were examined for key measurement requirements (e.g., category ordening, unidimensionality, and differential item functioning). Finally, calculation and interpretability of scores were addressed. Compared to its previous version, the final IWPQ 1.0 showed improved targeting for two out of three scales. As a result, it can more reliably measure workers at all levels of ability, discriminate between workers at a wider range on each scale, and detect changes in individual work performance.
    Journal of applied measurement 01/2014; 15(2):160-75.
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    ABSTRACT: The Infit mean square W and the Outfit mean square U are commonly used person fit indexes under Rasch measurement. However, they suffer from two major weaknesses. First, their asymptotic distribution is usually derived by assuming that the true ability levels are known. Second, such distributions are even not clearly stated for indexes U and W. Both issues can seriously affect the selection of an appropriate cut-score for person fit identification. Snijders (2001) proposed a general approach to correct some person fit indexes when specific ability estimators are used. The purpose of this paper is to adapt this approach to U and W indexes. First, a brief sketch of the methodology and its application to U and W is proposed. Then, the corrected indexes are compared to their classical versions through a simulation study. The suggested correction yields controlled Type I errors against both conservatism and inflation, while the power to detect specific misfitting response patterns gets significantly increased.
    Journal of applied measurement 01/2014; 15(1):82-93.
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    ABSTRACT: A variety of methods for evaluating the psychometric quality of rater-mediated assessments have been proposed, including rater effects based on latent trait models (e.g., Engelhard, 2013; Wolfe, 2009). Although information about rater effects contributes to the interpretation and use of rater-assigned scores, it is also important to consider ratings in terms of the structure of the rating scale on which scores are assigned. Further, concern with the validity of rater-assigned scores necessitates investigation of these quality control indices within student subgroups, such as gender, language, and race/ethnicity groups. Using a set of guidelines for evaluating the interpretation and use of rating scales adapted from Linacre (1999, 2004), this study demonstrates methods that can be used to examine rating scale functioning within and across student subgroups with indicators from Rasch measurement theory (Rasch, 1960) and Mokken scale analysis (Mokken, 1971). Specifically, this study illustrates indices of rating scale effectiveness based on Rasch models and models adapted from Mokken scaling, and considers whether the two approaches to evaluating the interpretation and use of rating scales lead to comparable conclusions within the context of a large-scale rater-mediated writing assessment. Major findings suggest that indices of rating scale effectiveness based on a parametric and nonparametric approach provide related, but slightly different, information about the structure of rating scales. Implications for research, theory, and practice are discussed.
    Journal of applied measurement 01/2014; 15(2):100-32.
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    ABSTRACT: The purpose of this study was to examine the extent to which raters' subjectivity impacts measures of teacher dispositions using the Dispositions Assessments Aligned with Teacher Standards (DAATS) battery. This is an important component of the collection of evidence of validity and reliability of inferences made using the scale. It also provides needed support for the use of subjective affective measures in teacher training and other professional preparation programs, since these measures are often feared to be unreliable because of rater effect. It demonstrates the advantages of using the Multi-Faceted Rasch Model as a better alternative to the typical methods used in preparation programs, such as Cohen's Kappa. DAATS instruments require subjective scoring using a six-point rating scale derived from the affective taxonomy as defined by Krathwohl, Bloom, and Masia (1956). Rater effect is a serious challenge and can worsen or drift over time. Errors in rater judgment can impact the accuracy of ratings, and these effects are common, but can be lessened through training of raters and monitoring of their efforts. This effort uses the multifaceted Rasch measurement models (MFRM) to detect and understand the nature of these effects.
    Journal of applied measurement 01/2014; 15(3):240-251.
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    ABSTRACT: Testing hypotheses on a respondent's individual fit under the Rasch model requires knowledge of the distributional properties of a person fit statistic. We argue that the Rasch Sampler (Verhelst, 2008), a Markov chain Monte Carlo algorithm for sampling binary data matrices from a uniform distribution, can be applied for simulating the distribution of person fit statistics with the Rasch model in the same way as it used to test for other forms of misfit. Results from two simulation studies are presented which compare the approach to the original person fit statistics based on normalization formulas. Simulation 1 shows the new approach to hold the expected Type I error rates while the normalized statistics deviate from the nominal alpha-level. In Simulation 2 the power of the new approach was found to be approximately the same or higher than for the normalized statistics under most conditions.
    Journal of applied measurement 01/2014; 15(3):276-291.
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    ABSTRACT: Automatic item generation (AIG) is a broad class of methods that are being developed to address psychometric issues arising from internet and computer-based testing. In general, issues emphasize efficiency, validity, and diagnostic usefulness of large scale mental testing. Rapid prominence of AIG methods and their implicit perspective on mental testing is bringing painful scrutiny to many sacred psychometric assumptions. This report reviews basic AIG ideas, then presents conceptual foundations, image model development, and operational application to artistic judgment aptitude testing.
    Journal of applied measurement 01/2014; 15(1):1-25.
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    ABSTRACT: The assessment of differential item functioning (DIF) remains an area of active research in psychometrics and educational measurement. In recent years, methodological innovations involving mixture Rasch models have provided researchers with an additional set of tools for more deeply understanding the root causes of DIF, while at the same time increased interest in the role of disabilities and accommodations has also made itself felt in the measurement community. The current study furthered work in both areas by using the newly described multilevel mixture Rasch model to investigate the presence of DIF associated with disability and accommodation status at both examinee and school levels for a 3rd grade language assessment. Results of the study found that indeed DIF was present at both levels of analysis, and that it was associated with the presence of disabilities and the receipt of accommodations. Implications of these results for both practitioners and researchers are discussed.
    Journal of applied measurement 01/2014; 15(2):133-51.
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    ABSTRACT: The purpose of this study was to develop a general procedure for evaluation of a dynamic assessment and to demonstrate an analysis of a dynamic assessment, the CITM (Tzuriel, 1995b), as an objective measure for use as a group assessment. The techniques used to determine the fit of the CITM to a Rasch partial credit model are explicitly outlined. A modified format of the CITM was administered to 266 diverse second grade students in the USA; 58% of participants were identified as low SES. The participants (males n = 144) were White Anglo and Latino American students (55%), many of whom were first generation Mexican immigrants. The CITM was found to adequately fit a Rasch partial credit model (PCM) indicating that the CITM is a likely candidate for a group administered dynamic assessment that can be measured objectively. Data also supported that a model for objectively measuring change in learning ability for inferential thinking in the CITM was feasible.
    Journal of applied measurement 01/2014; 15(1):40-52.
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    ABSTRACT: This study assessed the ability of military aircrews to adapt to stressors when undergoing centrifuge training and determined what equipment items caused perceived stress and needed to be upgraded. We used questionnaires and the Rasch model to measure aircrew personnel's ability to adapt to centrifuge training. The measurement items were ranked by 611 military aircrew personnel. Analytical results indicated that the majority of the stress perceived by aircrew personnel resulted from the lightproof cockpit without outer reference. This study prioritized the equipment requiring updating as the lightproof cockpit design, the dim lighting of the cockpit, and the pedal design. A significant difference was found between pilot and non-pilot subjects' stress from the pedal design; and considerable association was discernible between the seat angle design and flight hours accrued. The study results provide aviators, astronauts, and air forces with reliable information as to which equipment items need to be urgently upgraded as their present physiological and psychological effects can affect the effectiveness of centrifuge training.
    Journal of applied measurement 01/2014; 15(2):200-12.
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    ABSTRACT: The current study evaluates three stopping rules for computerized adaptive testing (CAT): the predicted standard error reduction (PSER), the fixed-length, and the minimum SE using Andrich's rating scale model with a survey to identify at-risk students. PSER attempts to reduce the number of items administered and increase measurement precision of the trait. Several variables are manipulated, such as trait distribution and item pool size, in order to evaluate how these conditions interact and potentially help improve the correct classification of students. The findings indicate that the PSER stopping rule may be preferred when wanting to correctly diagnose or classify students at-risk and at the same time alleviate test burden for those taking screening measures based on the rating scale model with smaller item pools.
    Journal of applied measurement 01/2014; 15(3):213-226.

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