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Adelman, James S.; Estes, Zachary – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
Adelman, Marquis, Sabatos-DeVito, and Estes (2013) collected word naming latencies from 4 participants who read 2,820 words 50 times each. Their recommendation and practice was that R2 targets set for models should take into account subject idiosyncrasies as replicable patterns, equivalent to a subjects-as-fixed-effects assumption. In light of an…
Descriptors: Word Recognition, Naming, Individual Differences, Multiple Regression Analysis
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Underwood, Benton J. – American Psychologist, 1975
It is proposed that nomethetic theories should be formulated in such a way to allow for an immediate individual-differences test. This approach of trying to bring individual differences into the mainstream of theory construction is elaborated in terms of guidelines that can be used in examining the intervening process, as well as a discussion of…
Descriptors: Behavior Theories, Conceptual Schemes, Experimental Psychology, Individual Differences
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Wang, Margaret C.; Peverly, Stephen T. – Contemporary Educational Psychology, 1986
This paper presents a model for the study of self-instructive learning. The model is based on the assumption that individual differences in self-instructive abilities affect student learning. Application of the model in a classroom situation is discussed. (JAZ)
Descriptors: Classroom Environment, Cognitive Processes, Individual Differences, Learning Processes
Abrami, Philip C.; And Others – 1977
Studies of teacher rating form (TRF) generalizability have focused primarily on two classes of variables: student characteristics and teacher characteristics. Since the goal of most TRF researchers is to show that TRF scores correlate with teacher-produced student achievement, a suitable generalizability study would investigate the relationship…
Descriptors: Academic Achievement, Achievement Tests, Correlation, Generalization
Mills, Steven C.; Ragan, Tillman J. – 1994
This paper examines a research paradigm that is particularly suited to experimentation-related computer-based instruction and integrated learning systems. The main assumption of the model is that one of the most powerful capabilities of computer-based instruction, and specifically of integrated learning systems, is the capacity to adapt…
Descriptors: Academic Achievement, Computer Assisted Instruction, Educational Research, Educational Technology