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Dunkin, Michael J. – Review of Educational Research, 1996
Nine types of errors occurring in the process of synthesizing research are described, with examples from a recent synthesis of research on teacher professional growth. Types of errors include excluding relevant literature, wrongly reporting details such as sample size, erroneously attributing findings to studies, and stating unwarranted…
Descriptors: Data Analysis, Data Collection, Educational Research, Error Patterns
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Megargee, Edwin I. – Psychological Assessment, 1995
The methodological and practical problems that are especially common in or unique to assessment research in correctional settings are discussed. The distinctive culture of correctional institutions and the complications caused by governing bodies contribute to the particular problems encountered in collecting and analyzing data. (SLD)
Descriptors: Classification, Correctional Institutions, Data Analysis, Data Collection
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Dixon, James A.; Moore, Colleen F. – Developmental Psychology, 2000
Analyzes the logical basis of testing developmental order hypotheses with categorical measures. Argues that depending on whether saltatory or continuous developmental changes are being assessed, the observed relationship between categorical measures yields different types of information about developmental ordering. Maintains that when change is…
Descriptors: Child Development, Data Analysis, Developmental Psychology, Developmental Stages
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Schaeper, Hilde – Journal of Adult and Continuing Education, 2008
Taking an international comparative perspective, the paper seeks to identify conditions that favour or impede participation in continuing higher education (CHE), and to answer the question what lessons can be learned from other countries. To this end we present selected findings of a secondary analysis of data from seven countries and…
Descriptors: Foreign Countries, Continuing Education, Higher Education, Comparative Education
Dockrell, W. B. – 1983
This paper is devoted to an analysis of the "Standards for Evaluation of Educational Programs, Projects, and Materials" as they apply to qualitative data. The most difficult ethical problem arises from the conflict between the right to privacy of research subjects and the right to know of audiences. There are two technical points in the…
Descriptors: Data Analysis, Foreign Countries, International Studies, Privacy
Prosser, Barbara – 1990
The value of variance is emphasized, and the element of design, frequently not adequately understood, is clarified to underscore the importance of variance to the researcher. Two analytic methods, analysis of variance (ANOVA) and multiple regression, are discussed in terms of how each uses/applies variance. Advantages and major difficulties with…
Descriptors: Analysis of Variance, Data Analysis, Multiple Regression Analysis, Predictor Variables
Firestone, William A.; Dawson, Judith A. – 1981
Noting the increasing interest in qualitative research in general and ethnographic research in particular, the authors of this report clarify the place of the latter within the former. The authors present six criteria for an ethnographic approach to education, illustrated with examples, and discuss ethnography's advantages and disadvantages. The…
Descriptors: Data Analysis, Data Collection, Educational Research, Ethnography
Collins, Linda M.; Dent, Clyde W. – 1985
Because health behavior is often concerned with dynamic constructs, a longitudinal approach to measurement is needed. The Longitudinal Guttman Simplex (LGS) is a measurement model developed especially for dynamic constructs exhibiting cumulative, unitary development measured longitudinally. Data from the Television Smoking Prevention Project, a…
Descriptors: Adolescents, Data Analysis, Drug Abuse, Health Behavior
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Shepard, Roger N. – Psychometrika, 1974
Six major problems confronting attempts to use nonmetric multidimensional scaling to represent structures underlying similarity data are identified and the author's prospects for over-coming each of these problems are presented. (RC)
Descriptors: Cluster Analysis, Comparative Analysis, Data Analysis, Goodness of Fit
Rosenthal, Robert – J Consult Clin Psychol, 1969
Preparation of this paper facilitated by Grant GS-1741 from the Division of Social Sciences of the National Science Foundation.
Descriptors: Data Analysis, Decision Making, Demonstration Programs, Experimenter Characteristics
Lai, Morris K. – 1974
When analysis of variance is used, statistically significant differences may or may not be of practical significance to educators. A large part of the problem is due to the fact that a "zero difference" null hypothesis can always be rejected statistically if the sample size is large enough. If, however, a method based on the noncentral F…
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Mathematical Models
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Meyer, Donald L. – 1971
Bayesian statistical methodology and its possible uses in the behavioral sciences are discussed in relation to the solution of problems in both the use and teaching of fundamental statistical methods, including confidence intervals, significance tests, and sampling. The Bayesian model explains these statistical methods and offers a consistent…
Descriptors: Bayesian Statistics, Data Analysis, Decision Making, Mathematical Models
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Jackson, Gregg – Educational Researcher, 1975
Suggests that because of deficiencies in the statistical analysis and errors of inference, neither the conclusions nor the policy recommencations derived by Coleman are well supported. (Author/AM)
Descriptors: Data Analysis, Literary Criticism, Public Policy, Research Methodology
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Weinberg, Meyer – Journal of Educational Statistics, 1978
The financial aspects of educational programs are discussed in this commentary on the evaluation of the Emergency School Aid Act. Budget and expenditure data must be examined closely when evaluating educational programs. (JKS)
Descriptors: Compensatory Education, Data Analysis, Educational Finance, Elementary Education
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Kolata, Gina Bari – Science, 1978
Discusses recent protest concerning the conduct of survey research. (SL)
Descriptors: Data Analysis, Data Collection, National Surveys, Research
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