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Peer reviewedHill, P. W. – Australian Journal of Education, 1984
The use of structural equation modeling is discussed in testing a range of theories of learning and cognition involving the concept of a hierarchy of variables of increasing complexity. To illustrate this approach, one method is applied to Bloom's taxonomy to test the theoretical assumption of hierarchical organization. (Author/MSE)
Descriptors: Classification, Cognitive Structures, Difficulty Level, Epistemology
Peer reviewedNygard, Roald – Scandinavian Journal of Educational Research, 1976
Reanalysis of previous studies indicated mean persistence scores are highest and equal for success-motivated subjects with high subjective expectation of success and for failure-avoidance motivated subjects with low expectation of success; scores are lowest for success-motivated subjects with low success expectation and for failure-avoidance…
Descriptors: Achievement, Difficulty Level, Expectation, Failure
Chall, Jeanne S.; Bissex, Glenda L.; Conard, Sue S.; Harris-Sharples, Susan – 1996
This book presents a method for the qualitative assessment of text difficulty, a method that relies on a total impression rather than on an analysis of text features. The method is based on matching samples of text to exemplars that have been scaled for comprehension difficulty. These exemplars range in difficulty from those suitable for the…
Descriptors: Content Analysis, Difficulty Level, Evaluation Methods, Qualitative Research
Zhu, Renbang; Yu, Feng – 2003
To ensure fairness, it is of critical importance that testing programs make sure that essay items given to examinees are equivalent in difficulty. The purpose of this study was to evaluate the stability and accuracy of a logistic regression based polytomous essay difficulty index. Preliminary results from a simulation study (9 conditions with a…
Descriptors: Difficulty Level, Essay Tests, Indexes, Measurement Techniques
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


