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Chiu, Christopher W. T. – 2000
A procedure was developed to analyze data with missing observations by extracting data from a sparsely filled data matrix into analyzable smaller subsets of data. This subdividing method, based on the conceptual framework of meta-analysis, was accomplished by creating data sets that exhibit structural designs and then pooling variance components…
Descriptors: Difficulty Level, Error of Measurement, Generalizability Theory, Interrater Reliability
Li, Yuan H.; Yang, Yu N. – 2001
An evaluation of the variation of item estimates was conducted for the multidimensional extension of the logistic item response theory (MIRT) model. The empirically determined standard errors (SEs) of marginal maximum likelihood estimation (MMLE)/Bayesian item estimates from 40 items from the ACT Assessment (Form 24b, 1985) were obtained when the…
Descriptors: Difficulty Level, Error of Measurement, Estimation (Mathematics), Item Response Theory
Peer reviewedGoldman, Richard – Social Education, 1974
The objective of this study is to summarize Israeli children's information and interpretation of the 1973 Middle East War while the intense fighting was in process. (Author/KM)
Descriptors: Cognitive Processes, Comprehension, Difficulty Level, Early Experience
Peer reviewedBaldridge, J. Victor; And Others – Journal of Higher Education, 1973
Descriptors: Academic Freedom, Difficulty Level, Faculty, Higher Education
Peer reviewedRussell, Gordon W.; Sandilands, Mark L. – Psychological Reports, 1973
Scores on three measures of conceptual complexity were related to a number of biographic and demographic variables. Grade point average and academic major were examined for implications of conceptual complexity for education; religious affiliation and voting preference for connections between levels of conceptual functioning and antecedent…
Descriptors: Concept Formation, Correlation, Cultural Influences, Difficulty Level
Peer reviewedJacobs, Stanley S. – Educational and Psychological Measurement, 1972
Data quite clearly indicated that students should be allowed and encouraged to reconsider and evaluate their responses to objective test items. (Author)
Descriptors: Difficulty Level, Objective Tests, Response Style (Tests), Tables (Data)
Libb, J. Wesley – Journal of Experimental Psychology, 1972
Experiments designed to investigate performance on a complex task as it varies with training. (Author)
Descriptors: Behavior Theories, College Students, Data Analysis, Difficulty Level
Eisenman, Russell – Percept Mot Skills, 1969
Descriptors: Background, College Students, Creativity, Difficulty Level
Holmes, V.M.; Forster, K.I. – Journal of Verbal Learning and Verbal Behavior, 1972
Descriptors: Deep Structure, Difficulty Level, Information Processing, Perception
Peer reviewedLu, K. H. – Educational and Psychological Measurement, 1971
Descriptors: Difficulty Level, Statistical Analysis, Statistical Significance, Test Items
Manzo, A. V. – J Reading, 1970
Descriptors: Adolescents, Adult Students, Difficulty Level, Disadvantaged
Peer reviewedPeisach, Estelle; Wein, Norman – Journal of Genetic Psychology, 1970
Descriptors: Conservation (Concept), Difficulty Level, Intellectual Development, Primary Education
Peer reviewedBeiswenger, Hugo – Journal of Experimental Child Psychology, 1971
Descriptors: Age Differences, Behavior Change, Difficulty Level, Error Patterns
Blanchard, William A.; Ganam, Carol D. – Psychol Rep, 1969
Descriptors: Behavioral Science Research, College Students, Difficulty Level, Perception
Peer reviewedStine, Elizabeth Lotz; Bohannon, John Neil, III – Journal of Child Language, 1983
Evidence supporting two roles of imitation in language acquisition was found in a single child's speech studied at ages 2.8 and 3.0. Imitation can serve to limit the language environment's complexity, and forms may appear in imitations before appearing in spontaneous speech. Use of "what?" is given as an example. (MSE)
Descriptors: Child Language, Difficulty Level, Expressive Language, Imitation


