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Andrich, David – Educational Measurement: Issues and Practice, 2016
Since Cronbach's (1951) elaboration of a from its introduction by Guttman (1945), this coefficient has become ubiquitous in characterizing assessment instruments in education, psychology, and other social sciences. Also ubiquitous are caveats on the calculation and interpretation of this coefficient. This article summarizes a recent contribution…
Descriptors: Computation, Correlation, Test Theory, Measures (Individuals)
Wilcox, Bethany R.; Lewandowski, H. J. – Physical Review Physics Education Research, 2016
Student learning in instructional physics labs represents a growing area of research that includes investigations of students' beliefs and expectations about the nature of experimental physics. To directly probe students' epistemologies about experimental physics and support broader lab transformation efforts at the University of Colorado Boulder…
Descriptors: Physics, Epistemology, Surveys, Science Instruction
Agus, Mirian; Penna, Maria Pietronilla; Peró-Cebollero, Maribel; Guàrdia-Olmos, Joan – EURASIA Journal of Mathematics, Science & Technology Education, 2016
Research on the graphical facilitation of probabilistic reasoning has been characterised by the effort expended to identify valid assessment tools. The authors developed an assessment instrument to compare reasoning performances when problems were presented in verbal-numerical and graphical-pictorial formats. A sample of undergraduate psychology…
Descriptors: Probability, Abstract Reasoning, Thinking Skills, Educational Assessment
Krijnen, Wim P. – Psychometrika, 2004
In many instances it is reasonable to assume that the population covariance matrix has positive elements. This assumption implies for the single factor analysis model that the loadings and regression weights for best linear factor prediction are positive. For the multiple factor analysis model where each variable loads on a single factor and a…
Descriptors: Test Theory, Structural Equation Models, Factor Analysis, Prediction

Gardner, Robert C.; Erdle, Stephen – Educational and Psychological Measurement, 1986
This article evaluated criticisms by Stevens and Aleamoni (1986) of an article by Gardner and Erdle (1984) on aggregation using either raw or standard scores. It was demonstrated that their criticisms were unfounded. (Author)
Descriptors: Correlation, Factor Analysis, Raw Scores, Scores

Stevens, Joseph J.; Aleamoni, Lawrence, M. – Educational and Psychological Measurement, 1986
Prior standardization of scores when an aggregate score is formed has been criticized. This article presents a demonstration of the effects of differential weighting of aggregate components that clarifies the need for prior standardization. The role of standardization in statistics and the use of aggregate scores in research are discussed.…
Descriptors: Correlation, Error of Measurement, Factor Analysis, Raw Scores

Neeper, Ronald; Lahey, Benjamin B. – School Psychology Review, 1986
A factor analysis of a revised and expanded 102-item version of the Children's Behavior Scale (CBRS) was conducted to complete development of this teacher rating scale. Results confirmed previous research on the CBRS that indicated that two independent dimensions of cognitive deficits can be identified in teacher ratings. (Author/LMO)
Descriptors: Behavior Rating Scales, Correlation, Elementary Secondary Education, Factor Analysis

O'Grady, Kevin E.; Medoff, Deborah R. – Multivariate Behavioral Research, 1991
A procedure for evaluating a variety of rater reliability models is presented. A multivariate linear model is used to describe and assess a set of ratings. Parameters are represented in terms of a factor analytic model, and maximum likelihood methods test the model parameters. Illustrative examples are presented. (SLD)
Descriptors: Comparative Analysis, Correlation, Equations (Mathematics), Estimation (Mathematics)

Cattell, Raymond B.; Krug, Samuel E. – Educational and Psychological Measurement, 1986
Critics have occasionally asserted that the number of factors in the 16PF tests is too large. This study discusses factor-analytic methodology and reviews more than 50 studies in the field. It concludes that the number of important primaries encapsulated in the series is no fewer than the stated number. (Author/JAZ)
Descriptors: Correlation, Cross Cultural Studies, Factor Analysis, Maximum Likelihood Statistics

Harrison, David A. – Journal of Educational Statistics, 1986
Multidimensional item response data were created. The strength of a general factor, the number of common factors, the distribution of items loadingon common factors, and the number of items in simulated tests were manipulated. LOGIST effectively recovered both item and trait parameters in nearly all of the experimental conditions. (Author/JAZ)
Descriptors: Adaptive Testing, Computer Assisted Testing, Computer Simulation, Correlation
Thompson, Bruce; Borrello, Gloria M. – 1987
Attitude measures frequently produce distributions of item scores that attenuate interitem correlations and thus also distort findings regarding the factor structure underlying the items. An actual data set involving 260 adult subjects' responses to 55 items on the Love Relationships Scale is employed to illustrate empirical methods for…
Descriptors: Adults, Analysis of Covariance, Attitude Measures, Correlation
Brennan, Robert T.; Molnar, Beth E.; Earls, Felton – Journal of Community Psychology, 2007
Correlational analysis, classical test theory, confirmatory factor analysis, and multilevel Rasch modeling were used to refine a measure of adolescents' exposure to violence (ETV). Interpersonal violence could be distinguished from other potentially traumatic events; it was also possible to distinguish three routes of exposure (victimization,…
Descriptors: Violence, Adolescents, Factor Analysis, Urban Youth
Saparniene, Diana; Merkys, Gediminas; Saparnis, Gintaras – Online Submission, 2006
Purpose: The paper deals with the study of students' computer literacy one of the purposes being demonstration the impact of the cognitive and non-cognitive personality traits (attention, verbal and non-verbal intelligence, emotional-motivational relationship with computer, learning strategies, etc.) on the quality of computer literacy.…
Descriptors: Program Effectiveness, Computer Literacy, Psychometrics, Personality Traits
Marsh, Herbert W.; Hocevar, Dennis – 1986
The advantages of applying confirmatory factor analysis (CFA) to multitrait-multimethod (MTMM) data are widely recognized. However, because CFA as traditionally applied to MTMM data incorporates single indicators of each scale (i.e., each trait/method combination), important weaknesses are the failure to: (1) correct appropriately for measurement…
Descriptors: Computer Software, Construct Validity, Correlation, Error of Measurement