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Ames, Allison J. – Educational and Psychological Measurement, 2022
Individual response style behaviors, unrelated to the latent trait of interest, may influence responses to ordinal survey items. Response style can introduce bias in the total score with respect to the trait of interest, threatening valid interpretation of scores. Despite claims of response style stability across scales, there has been little…
Descriptors: Response Style (Tests), Individual Differences, Scores, Test Items
Dowling, N. Maritza; Raykov, Tenko; Marcoulides, George A. – Educational and Psychological Measurement, 2019
Longitudinal studies have steadily grown in popularity across the educational and behavioral sciences, particularly with the increased availability of technological devices that allow the easy collection of repeated measures on multiple dimensions of substantive relevance. This article discusses a procedure that can be used to evaluate population…
Descriptors: Longitudinal Studies, Older Adults, Cognitive Processes, Dementia
Kam, Chester Chun Seng; Zhou, Mingming – Educational and Psychological Measurement, 2015
Previous research has found the effects of acquiescence to be generally consistent across item "aggregates" within a single survey (i.e., essential tau-equivalence), but it is unknown whether this phenomenon is consistent at the" individual item" level. This article evaluated the often assumed but inadequately tested…
Descriptors: Test Items, Surveys, Criteria, Correlation
Kulas, John T.; Thompson, Richard C.; Anderson, Michael G. – Educational and Psychological Measurement, 2011
The California Psychological Inventory's Dominance scale was investigated for inconsistencies in item-trait associations across four samples (one American normative and three culturally dissociated manager groupings). The Kim, Cohen, and Park procedure was used, enabling simultaneous multigroup comparison in addition to the traditional…
Descriptors: Personality Traits, Measures (Individuals), Correlation, Prediction
McArdle, John J.; Hamagami, Fumiaki; Bautista, Randy; Onoye, Jane; Hishinuma, Earl S.; Prescott, Carol A.; Takeshita, Junji; Zonderman, Alan B.; Johnson, Ronald C. – Educational and Psychological Measurement, 2014
In this study, we reanalyzed the classic Hawai'i Family Study of Cognition (HFSC) data using contemporary multilevel modeling techniques. We used the HFSC baseline data ("N" = 6,579) and reexamined the factorial structure of 16 cognitive variables using confirmatory (restricted) measurement models in an explicit sequence. These models…
Descriptors: Factor Analysis, Hierarchical Linear Modeling, Data Analysis, Structural Equation Models
Luttrell, Vickie R.; Callen, Bruce W.; Allen, Charles S.; Wood, Mark D.; Deeds, Donald G.; Richard, David C. S. – Educational and Psychological Measurement, 2010
The goal of this study was to develop a self-report inventory that measures individual differences in the perceived value of mathematical literacy for general education students. The Mathematics Value Inventory (MVI) is grounded in the Eccles et al. model of achievement-related choices and surveys students' beliefs in four areas: interest, general…
Descriptors: General Education, Social Desirability, High Achievement, Numeracy

Farley, Frank H.; Haubrich, Alice S. – Educational and Psychological Measurement, 1974
Expands upon the Farley (1967) study in three ways: (1) use of experimental manipulation of social desirability response set rather than correlational analysis, (2) use of the recent revision of the Sensation Seeking Scale, and (3) inclusion of sex comparisons. (Author)
Descriptors: College Students, Individual Differences, Psychological Testing, Response Style (Tests)
Vaughn, Allison A.; Roesch, Scott C.; Aldridge, Arianna A. – Educational and Psychological Measurement, 2009
Stress-related growth is defined as the perception or experience of deriving benefits from encountering stressful circumstances and, thus, has been identified as a protective factor against stress. The current study revised and subsequently validated scores on an existing measure of stress-related growth in a sample of racial/ethnic minority…
Descriptors: Validity, Adolescents, Coping, Individual Differences

Parker, George V. C. – Educational and Psychological Measurement, 1971
This study evaluates the usefulness of conceptualizing intraindividual stability as a personality construct. The feasibility of developing a psychometric scale which might be used to reliably predict individual stability in self-description, self-concept, and other behavioral domains is assessed. (MS)
Descriptors: Attitude Change, Behavior, Individual Differences, Personality Studies

Shikiar, Richard – Educational and Psychological Measurement, 1974
Descriptors: Comparative Analysis, Individual Differences, Models, Multidimensional Scaling

Match, Joel; Wiggins, Nancy – Educational and Psychological Measurement, 1974
Descriptors: Individual Differences, Multidimensional Scaling, Personality Measures, Social Influences

Pennell, Roger – Educational and Psychological Measurement, 1972
Author argues that simplistic and/or heuristic approaches to the Tucker and Messick model (an individual differences model for multidimensional scaling, 1963) are often inadequate. (Author/CB)
Descriptors: Data Analysis, Evaluation, Individual Differences, Mathematical Models

Kearsley, Greg P. – Educational and Psychological Measurement, 1976
Nomothetic and idiographic approaches to the study of individual differences and individuality are discussed. It is argued that traditional nomothetic and idiographic perspectives are limited and alternative perspectives are offered. Computer simulation is proposed as a methodology for examination of these alternative perspectives. (Author/JKS)
Descriptors: Computer Assisted Instruction, Conceptual Schemes, Individual Differences, Psychological Studies

Sturman, Michael C. – Educational and Psychological Measurement, 1999
Compares eight models for analyzing count data through simulation in the context of prediction of absenteeism to indicate the extent to which each model produces false positives. Results suggest that ordinary least-squares regression does not produce more false positives than expected by chance. The Tobit and Poisson models do yield too many false…
Descriptors: Attendance, Individual Differences, Least Squares Statistics, Models

Smith, I. Leon – Educational and Psychological Measurement, 1970
Descriptors: Academic Achievement, Aptitude, Associative Learning, Creativity