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Peer reviewedGallagher, Donald R. – Journal of Educational Communication, 1976
Surveys can be helpful in learning what citizens think about what educators are doing with tax dollars. Guidelines are given for questionnaire design and survey techniques. (Author/MLF)
Descriptors: Community Attitudes, Elementary Secondary Education, Methods, Questionnaires
Katzer, Jeffrey – Drexel Library Quarterly, 1977
Discusses, in the context of library evaluation, the major sources of untrustworthy information and describes what can be done to control them. The emphasis is on assessing the impact of changed operations. (JD)
Descriptors: Error Patterns, Evaluation Criteria, Libraries, Reliability
Peer reviewedHalperin, Michael – RQ, 1978
This paper presents a plan for obtaining statistical information for justifying budget requests, planning staffing, and assessing service without placing heavy burdens on the staff. (Author/JAB)
Descriptors: Cluster Analysis, Data Analysis, Data Collection, Library Services
Peer reviewedHartke, 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
Peer reviewedWilcox, Rand R. – Psychometrika, 1978
Several Bayesian approaches to the simultaneous estimation of the means of k binomial populations are discussed. This has particular applicability to criterion-referenced or mastery testing. (Author/JKS)
Descriptors: Bayesian Statistics, Criterion Referenced Tests, Mastery Tests, Probability
Peer reviewedReichardt, Charles S.; Rindskopf, David M. – Journal of Educational Statistics, 1978
Commentary is presented on the evaluation of the Emergency School Aid Act and on an article detailing that evaluation (TM 503 672). The use of randomization and pilot studies is emphasized. (J KS)
Descriptors: Compensatory Education, Elementary Education, Evaluation Methods, Pilot Projects
Peer reviewedWuthnow, Robert – Journal of Humanistic Psychology, 1978
This article presents findings regarding peak experiences from a systematic random sample of 1,000 persons in the San Francisco-Oakland area. Evidence is presented on the incidence of peak experiences, on the kinds of life styles which tend to be associated with these experiences, and on some of the social implications that these experiences have.…
Descriptors: Emotional Experience, Opinions, Psychological Characteristics, Psychological Studies
The Invalidity of Partitioned-U Tests in Canonical Correlation and Multivariate Analysis of Variance
Peer reviewedHarris, Richard J. – Multivariate Behavioral Research, 1976
The partitioned-U procedure is outlined, a fundamental logical flaw in this procedure's avoidance of any direct test of the significance of the first discriminant function or largest coefficient of canonical correlation is pointed out, and two alternatives to the partitioned-U procedure are discussed. (Author/DEP)
Descriptors: Analysis of Variance, Correlation, Hypothesis Testing, Multivariate Analysis
Peer reviewedGalfo, Armand J. – School Science and Mathematics, 1985
Discusses a strategy for teaching degrees of freedom (in conjunction with sampling theory). The strategy, used successfully with students who have completed no more than beginning secondary school algebra, involves drawing items from a pool of five in a hat while explaining sample means and variances. (DH)
Descriptors: Mathematical Concepts, Mathematics Education, Mathematics Instruction, Sampling
The Maximal Value of a Zipf Size Variable: Sampling Properties and Relationship to Other Parameters.
Peer reviewedTague, Jean; Nicholls, Paul – Information Processing and Management, 1987
Examines relationships among the parameters of the Zipf size-frequency distribution as well as its sampling properties. Highlights include its importance in bibliometrics, tables for the sampling distribution of the maximal value of a finite Zipf distribution, and an approximation formula for confidence intervals. (Author/LRW)
Descriptors: Bibliometrics, Least Squares Statistics, Mathematical Models, Research Methodology
Peer reviewedNorcini, John J.; And Others – Journal of Educational Measurement, 1988
Multiple matrix sampling is applied to a variation of Angoff's standard setting method. Thirty-six experts (internists) and 190 items were divided into five groups, and borderline examinee performance was estimated. There was some variability in the cutting scores produced by the individual groups, but various components were well estimated. (SLD)
Descriptors: Cutting Scores, Minimum Competency Testing, Physicians, Sampling
Peer reviewedGordon, Florence – Mathematics and Computer Education, 1987
Sophisticated simulations using computer graphics can lead to students deducing virtually all conditions of the Central Limit Theorem. Eight graphs illustrate the discussion. (MNS)
Descriptors: College Mathematics, Computer Graphics, Computer Simulation, Graphs
Peer reviewedMislevy, Robert J. – Journal of Educational Statistics, 1983
The most familiar models of item response theory are defined at the level of individual subjects. It is possible, however, to define such models for groups of subjects. This paper discusses group-level item response models, their uses, and their relationships to subject-level models. (Author/JKS)
Descriptors: Educational Assessment, Estimation (Mathematics), Group Testing, Item Sampling
Peer reviewedBrewer, James K. – Journal of Educational Statistics, 1985
Six behavioral statistics textbooks listed by their publishers as "bestsellers" during 1982 were reviewed by the author. The intent was to detect the presence of and to discuss the nature of some theoretical inferential inaccuracies, misinterpretations and errors. (Author/LMO)
Descriptors: Higher Education, Hypothesis Testing, Sampling, Statistical Analysis
Peer reviewedNisbett, Richard E.; And Others – Psychological Review, 1983
In everyday reasoning, people use statistical heuristics (judgmental tools that are rough intuitive equivalents of statistical principles). Use of statistical heuristics is more likely when (1) sampling is clear, (2) the role of chance is clear, (3) statistical reasoning is normative for the event, or (4) the subject has had training in…
Descriptors: Cultural Influences, Heuristics, Higher Education, Induction


