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Lozano, José H.; Revuelta, Javier – Educational and Psychological Measurement, 2023
The present paper introduces a general multidimensional model to measure individual differences in learning within a single administration of a test. Learning is assumed to result from practicing the operations involved in solving the items. The model accounts for the possibility that the ability to learn may manifest differently for correct and…
Descriptors: Bayesian Statistics, Learning Processes, Test Items, Item Analysis
Cadiz, David; Sawyer, John E.; Griffith, Terri L. – Educational and Psychological Measurement, 2009
Research on knowledge transfer in organizations has been hampered by the lack of tools yielding valid scores for studying critical constructs in concert. The authors developed survey measures of absorptive capacity (the ability to transform new knowledge into usable knowledge) and experienced community of practice (the extent to which a person is…
Descriptors: Test Validity, Path Analysis, Factor Analysis, Test Construction
Hirschfeld, Robert R.; Thomas, Christopher H.; McNatt, D. Brian – Educational and Psychological Measurement, 2008
The authors explored implications of individuals' self-deception (a trait) for their self-reported intrinsic and extrinsic motivational dispositions and their actual learning performance. In doing so, a higher order structural model was developed and tested in which intrinsic and extrinsic motivational dispositions were underlying factors that…
Descriptors: Deception, Predictor Variables, Motivation, Incentives

Connolly, Terry – Educational and Psychological Measurement, 1977
A distinction between two classes of problems used in laboratory studies of judgment and inference phenomena is made. The distinction is relevant to both single-cue probability learning and multiple cue probability learning within the linear lens model paradigm. (Author/JKS)
Descriptors: Cues, Learning Processes, Probability, Structural Analysis

Kingma, Johannes; Reuvekamp, Johan – Educational and Psychological Measurement, 1987
This package contains four FORTRAN 77 programs for Markov Model based learning experiments. One program estimates the likelihood of a one-stage learning model, another delivers estimates for a two-stage learning model. The third and fourth were designed for hypothesis testing the parameter differences between and within experimental conditions,…
Descriptors: Computer Software Reviews, Hypothesis Testing, Input Output, Learning Processes

Bartling, Carl A. – Educational and Psychological Measurement, 1987
Several measures of reliability and validity were used to compare a shortened and a complete form of the Inventory of Learning Processes. Very similar reliability and validity statistics were produced with the two forms. Surprisingly low, validity coefficients were produced with both inventories. (Author/LMO)
Descriptors: College Freshmen, Concurrent Validity, Correlation, Higher Education

Kingma, Johannes; Reuvekamp, Johan – Educational and Psychological Measurement, 1987
This paper describes a PASCAL program that computes both different types of transitions and learning statistics suitable for learning experiments in which a two-stage Markov model is used. The frequency counts of the different transitions are used for estimating the parameters of the two-stage Markov model. (Author/LMO)
Descriptors: Computer Software Reviews, Error of Measurement, Goodness of Fit, Input Output

Merritt, Sharon L.; Marshall, Jon Clark – Educational and Psychological Measurement, 1984
The Learning Style Inventory assesses learners' preferences. This study was designed to determine reliability and construct validity of Kolb's original ipsative instrument and an alternate normative form. The alternate version was found as reliable as the original, was equivalent in measuring characteristics, and demonstrated comparable construct…
Descriptors: Cognitive Style, Correlation, Experiential Learning, Factor Structure
Nietfeld, John L.; Enders, Craig K; Schraw, Gregory – Educational and Psychological Measurement, 2006
Researchers studying monitoring accuracy currently use two different indexes to estimate accuracy: relative accuracy and absolute accuracy. The authors compared the distributional properties of two measures of monitoring accuracy using Monte Carlo procedures that fit within these categories. They manipulated the accuracy of judgments (i.e., chance…
Descriptors: Monte Carlo Methods, Test Items, Computation, Metacognition