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Bryant, N. Dale; Gokhale, Sunanda – Educational and Psychological Measurement, 1972
Authors present a formula for use when restrictions result from complex or unmeasured variables. (Authors/MB)
Descriptors: Comparative Analysis, Correlation, Item Analysis, Item Sampling
Peer reviewed Peer reviewed
Hartke, Alan R. – Journal of Educational Measurement, 1978
Latent partition analysis is shown to be useful in determining the conceptual homogeneity of an item population. Such item populations are useful for mastery testing. Applications of latent partition analysis in assessing content validity are suggested. (Author/JKS)
Descriptors: Higher Education, Item Analysis, Item Sampling, Mastery Tests
Linn, Robert – 1978
A series of studies on conceptual and design problems in competency-based measurements are explained. The concept of validity within the context of criterion-referenced measurement is reviewed. The authors believe validation should be viewed as a process rather than an end product. It is the process of marshalling evidence to support…
Descriptors: Criterion Referenced Tests, Item Analysis, Item Sampling, Test Bias
Smith, Douglas U. – 1978
This study examined the effects of certain item selection methods on the classification accuracy and classification consistency of criterion-referenced instruments. Three item response data sets, representing varying situations of instructional effectiveness, were simulated. Five methods of item selection were then applied to each data set for the…
Descriptors: Criterion Referenced Tests, Item Analysis, Item Sampling, Latent Trait Theory
Peer reviewed Peer reviewed
Fiske, Donald W.; Barack, Leonard I. – Educational and Psychological Measurement, 1976
The diversity among interpretations of single items in personality questionnaires has been noted previously. Using adjectives from the Adjective Check List (ACL), the study sought evidence bearing on these questions: Does such diversity make the responses to an item not comparable across subjects? If so, what are the implications for scores based…
Descriptors: Adjectives, Check Lists, Individual Differences, Item Analysis
Faggen, Jane – 1978
Formulas are presented for decision reliability and for classification validity for mastery/nonmastery decisions based on criterion referenced tests. Two item parameters are used: the probability of a master answering an item correctly, and the probability of a nonmaster answering an item incorrectly. The theory explores the relationships of…
Descriptors: Bayesian Statistics, Criterion Referenced Tests, Item Analysis, Item Banks
Berk, Ronald A. – 1978
Sixteen item statistics recommended for use in the development of criterion-referenced tests were evaluated. There were two major criteria: (1) practicability in terms of ease of computation and interpretation and (2) meaningfulness in the context of the development process. Most of the statistics were based on a comparison of performance changes…
Descriptors: Achievement Tests, Criterion Referenced Tests, Difficulty Level, Guides
Kriewall, Thomas E. – Illinois School Research, 1972
Author discusses and defines criterion tests in the context of classroom needs that have created much of the interest in the theory at this time. The primary source of interest is related to the growing implementation of individualized curricula. (Author/CB)
Descriptors: Criterion Referenced Tests, Difficulty Level, Individualized Instruction, Item Analysis
Harris, Chester W.; And Others – 1977
The implications of a mathematical model of test scores are explored where the data are limited to a random sample of items without replacement from an indefinitely large population or item domain in which items are scored either zero or one. The purpose is to obtain an unbiased estimate of a student's proportion of items correct in the item…
Descriptors: Academic Achievement, Achievement Tests, Annotated Bibliographies, Bibliographies
Forster, Fred – 1987
Studies carried out over a 12-year period addressed fundamental questions on the use of Rasch-based item banks. Large field tests administered in grades 3-8 of reading, mathematics, and science items, as well as standardized test results were used to explore the possible effects of many factors on item calibrations. In general, the results…
Descriptors: Achievement Tests, Difficulty Level, Elementary Education, Item Analysis
Swezey, Robert W.; Pearlstein, Richard B. – 1975
This manual outlines the rationale for using the Criterion Referenced Test (CRT) approach and suggests specific guidelines for test developers to use in constructing test items. Methods for assessing the adequacy of a CRT are also provided. (Author/RC)
Descriptors: Behavioral Objectives, Check Lists, Comparative Analysis, Criterion Referenced Tests
Haladyna, Tom – 1976
The existence of criterion-referenced (CR) measurement is questioned in this paper. Despite beliefs that differences exist between two alternative forms of measurement, CR and Norm Referenced (NR), an analysis of philosophical and psychological descriptions of measurement, as well as a growing number of empirical studies, reveal that the common…
Descriptors: Academic Standards, Achievement Tests, Career Development, Comparative Analysis
Hively, Wells, Ed. – 1974
The central assumption in domain-referenced testing (DRT), as presented in this book, is that a domain may be determined which adequately represents a particular universe of knowledge. After a domain has been established, the technological and practical problem of using domain-referenced testing must be solved. This book contains a collection of…
Descriptors: Accountability, Behavior Change, Behavioral Objectives, Criterion Referenced Tests
Weerts, Rita; Whitney, Douglas R. – 1975
Data were collected on 80 diverse items concerning student perceptions of teaching for a representative sample of 189 classes at a large university. The items were subdivided by type of focus into four categories: course content, objectives, and structure; instructor's behavior; instructional methods and materials; outcomes of instruction. The…
Descriptors: Academic Rank (Professional), Analysis of Variance, Class Size, College Students