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Guo, Jinxin; Xu, Xin; Xin, Tao – Journal of Educational Measurement, 2023
Missingness due to not-reached items and omitted items has received much attention in the recent psychometric literature. Such missingness, if not handled properly, would lead to biased parameter estimation, as well as inaccurate inference of examinees, and further erode the validity of the test. This paper reviews some commonly used IRT based…
Descriptors: Psychometrics, Bias, Error of Measurement, Test Validity
Carpentras, Dino; Quayle, Michael – International Journal of Social Research Methodology, 2023
Agent-based models (ABMs) often rely on psychometric constructs such as 'opinions', 'stubbornness', 'happiness', etc. The measurement process for these constructs is quite different from the one used in physics as there is no standardized unit of measurement for opinion or happiness. Consequently, measurements are usually affected by 'psychometric…
Descriptors: Psychometrics, Error of Measurement, Models, Prediction
Visser, Linda; Cartschau, Friederike; von Goldammer, Ariane; Brandenburg, Janin; Timmerman, Marieke; Hasselhorn, Marcus; Mähler, Claudia – Applied Measurement in Education, 2023
The growing number of children in primary schools in Germany who have German as their second language (L2) has raised questions about the fairness of performance assessment. Fair tests are a prerequisite for distinguishing between L2 learning delay and a specific learning disability. We evaluated five commonly used reading and spelling tests for…
Descriptors: Foreign Countries, Error of Measurement, Second Language Learning, German
Lee, Won-Chan; Kim, Stella Y.; Choi, Jiwon; Kang, Yujin – Journal of Educational Measurement, 2020
This article considers psychometric properties of composite raw scores and transformed scale scores on mixed-format tests that consist of a mixture of multiple-choice and free-response items. Test scores on several mixed-format tests are evaluated with respect to conditional and overall standard errors of measurement, score reliability, and…
Descriptors: Raw Scores, Item Response Theory, Test Format, Multiple Choice Tests
Raykov, Tenko; Marcoulides, George A.; Li, Tenglong – Educational and Psychological Measurement, 2017
The measurement error in principal components extracted from a set of fallible measures is discussed and evaluated. It is shown that as long as one or more measures in a given set of observed variables contains error of measurement, so also does any principal component obtained from the set. The error variance in any principal component is shown…
Descriptors: Error of Measurement, Factor Analysis, Research Methodology, Psychometrics
Pollard, Jeffrey W.; Flynn, Christopher; Eells, Gregory T. – Journal of College Student Psychotherapy, 2015
The authors respond to Goodwin's (2014) "Threat Assessment: Are We Using the Wrong Nets?" and use that article as a springboard to discuss various aspects of the threat assessment and management process. We find that Goodwin misses critical elements of the threat assessment and management process, conflates the process with two types of…
Descriptors: Counseling Services, College Students, Risk Assessment, Emergency Programs
Burt, Keith B.; Obradovic, Jelena – Developmental Review, 2013
The purpose of this paper is to review major statistical and psychometric issues impacting the study of psychophysiological reactivity and discuss their implications for applied developmental researchers. We first cover traditional approaches such as the observed difference score (DS) and the observed residual score (RS), including a review of…
Descriptors: Measurement Techniques, Psychometrics, Data Analysis, Researchers
The Strengths Assessment Inventory: Reliability of a New Measure of Psychosocial Strengths for Youth
Brazeau, James N.; Teatero, Missy L.; Rawana, Edward P.; Brownlee, Keith; Blanchette, Loretta R. – Journal of Child and Family Studies, 2012
A new measure, the Strengths Assessment Inventory-Youth self-report (SAI-Y), was recently developed to assess the strengths of children and adolescents between the ages of 10 and 18 years. The SAI-Y differs from similar measures in that it provides a comprehensive assessment of strengths that are intrinsic to the individual as well as strengths…
Descriptors: Error of Measurement, Psychometrics, Secondary School Students, Adolescents
Yuan, Ke-Hai; Cheng, Ying; Zhang, Wei – Psychometrika, 2010
This paper studies changes of standard errors (SE) of the normal-distribution-based maximum likelihood estimates (MLE) for confirmatory factor models as model parameters vary. Using logical analysis, simplified formulas and numerical verification, monotonic relationships between SEs and factor loadings as well as unique variances are found.…
Descriptors: Factor Analysis, Statistical Analysis, Error of Measurement, Models
Lane, Suzanne; Leventhal, Brian – Review of Research in Education, 2015
This chapter addresses the psychometric challenges in assessing English language learners (ELLs) and students with disabilities (SWDs). The first section addresses some general considerations in the assessment of ELLs and SWDs, including the prevalence of ELLs and SWDs in the student population, federal and state legislation that requires the…
Descriptors: Psychometrics, Evaluation Problems, English Language Learners, Disabilities
Vasconcelos-Raposo, Jose; Fernandes, Helder Miguel; Teixeira, Carla M.; Bertelli, Rosangela – Social Indicators Research, 2012
The purpose of the present study was to examine the reliability, factorial validity and measurement invariance (across gender, age and physical activity participation) of a Portuguese version of the Rosenberg Self-Esteem Scale (RSES). The sample consisted of 1,763 Portuguese youngsters (731 male and 1,032 female) with ages between 15 and 20 years.…
Descriptors: Validity, Factor Structure, Measures (Individuals), Factor Analysis
Draxler, Clemens – Psychometrika, 2010
This paper is concerned with supplementing statistical tests for the Rasch model so that additionally to the probability of the error of the first kind (Type I probability) the probability of the error of the second kind (Type II probability) can be controlled at a predetermined level by basing the test on the appropriate number of observations.…
Descriptors: Statistical Analysis, Probability, Sample Size, Error of Measurement
Guo, Hongwen – Psychometrika, 2010
After many equatings have been conducted in a testing program, equating errors can accumulate to a degree that is not negligible compared to the standard error of measurement. In this paper, the author investigates the asymptotic accumulative standard error of equating (ASEE) for linear equating methods, including chained linear, Tucker, and…
Descriptors: Testing Programs, Testing, Error of Measurement, Equated Scores
Warne, Russell T. – Journal of Advanced Academics, 2011
Reliability generalization (RG) is a meta-analysis that combines and synthesizes reliability coefficients from different studies to ascertain the average observed reliability across studies. An RG study was conducted on previously reported data from 16 samples of the Overexcitability Questionnaire--Two (OEQII) with a combined "N" of 5,275.…
Descriptors: Measures (Individuals), Error of Measurement, Psychometrics, Generalization
Yang, Manshu; Chow, Sy-Miin – Psychometrika, 2010
Facial electromyography (EMG) is a useful physiological measure for detecting subtle affective changes in real time. A time series of EMG data contains bursts of electrical activity that increase in magnitude when the pertinent facial muscles are activated. Whereas previous methods for detecting EMG activation are often based on deterministic or…
Descriptors: Test Bias, Error of Measurement, Human Body, Diagnostic Tests