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Peer reviewedBoardman, Anthony E.; Murnane, Richard J. – Sociology of Education, 1979
Identifies shortcomings of single equation models of educational achievement, including that they have omitted relevant variables. Considers three models of educational achievement--one using cross-sectional data; one using pre- and post measures of achievement; and one using more complete panel data. (Author/DB)
Descriptors: Academic Achievement, Data Analysis, Elementary Secondary Education, Models
Peer reviewedGlass, Gene V.; Stephens, Beth – American Journal of Mental Deficiency, 1976
Descriptors: Analysis of Covariance, Cognitive Development, Mental Retardation, Research Design
Allen, Bem P.; Niss, James F. – Phi Delta Kappan, 1990
Conducting research in university classrooms is difficult because the lecture method stifles discussion and limits opportunities to observe student/professor interactions. A recent study found that university classrooms are probably as chilly for minority students as they are for women. Bias against foreign students is less discernible. Study…
Descriptors: Educational Environment, Higher Education, Racial Bias, Research Problems
Peer reviewedJackson, Sally; And Others – Human Communication Research, 1988
Considers two ways of conducting the search for generalizations about messages: (1) single-message research designs used with meta-analytic summaries; and (2) multiple-message designs treating messages as a random factor in the statistical analysis. Contends that the treatment of messages as a random factor is statistically appropriate. (MS)
Descriptors: Communication Research, Experimenter Characteristics, Generalization, Meta Analysis
Peer reviewedMorley, Donald Dean – Human Communication Research, 1988
Replies to Sally Jackson, Daniel O'Keefe, and Scott Jacobs' article (same issue), maintaining that randomness requirements can not be relaxed for generalizing from message samples, since systematic samples are not truly random. (MS)
Descriptors: Communication Research, Experimenter Characteristics, Generalization, Meta Analysis
Peer reviewedDometrius, Nelson C.; Sigelman, Lee – Economics of Education Review, 1988
A critique of a procedure developed by Becker and Williams (1986) for gauging the extend to which an organization's composition suggests discrimination. Their model and its associated statistical test suffer from two problems: (1) it is difficult to dismiss the null hypothesis of no discrimination; and (2) the model makes an overly simple…
Descriptors: Hypothesis Testing, Models, Organizations (Groups), Research Design
Bracey, Gerald W. – American School Board Journal, 1994
A research psychologist and education consultant offers school board members some principles for appraising statistics: (1) distinguish between rates and numbers; (2) distinguish between ranks and scores; (3) try to "look through" the pictorial representation of data; (4) double check the data for accuracy; and (5) consider the source of the data.…
Descriptors: Comparative Analysis, Educational Assessment, Educational Research, Elementary Secondary Education
Peer reviewedPeritz, B. C. – Journal of the American Society for Information Science, 1992
Examines difficulties with citation analysis as it is used to study citation frequency, usually for the evaluation of scientists, publications, or institutions. Topics addressed include selection of a control set of papers, comparisons of different types of papers (e.g., methodological or theoretical), effects of independent variables, and use of…
Descriptors: Citation Analysis, Evaluation Methods, Models, Predictor Variables
Peer reviewedSimons, Helen – Cambridge Journal of Education, 1996
Examines the paradox of case studies' abilities to understand the complexity in particular contexts while not being generalizable. Argues that the pressure for quantification and multisite case study design in policy research has weakened the original utility of the case study method for understanding complex educational phenomena. (DSK)
Descriptors: Case Studies, Educational Research, Generalization, Qualitative Research
Peer reviewedRudman, Joseph – Computers and the Humanities, 1998
Explicates the statement, "Results of most non-traditional authorship studies are not universally accepted as definitive." Lists and discusses six problems associated with these studies, and suggests a similar number of solutions. Argues that future nontraditional attribution studies must be held to a higher standard of competency and…
Descriptors: Authors, Computer Uses in Education, Information Science, Library Science
Peer reviewedHoyt, William T.; Melby, Janet N. – Counseling Psychologist, 1999
Addresses generalizability theory (GT), which offers a flexible framework for assessing dependability of measurement. GT allows for consideration of multiple sources of error, allowing investigators to assess the overall impact of measurement error. Illustrative analyses demonstrate the special advantages of GT for planning studies in which…
Descriptors: Counseling Psychology, Generalizability Theory, Measurement, Research Design
Peer reviewedKaplan, Frances F. – Art Therapy: Journal of the American Art Therapy Association, 2001
Examines the tension between the particular and the general in art therapy and makes a case that the art therapist's concern with particularity does not obviate the need for research in the field. Consideration is given to two frequent stumbling blocks for beginning researchers: the use of statistics and the possibility of obtaining negative…
Descriptors: Art Therapy, Inquiry, Research and Development, Research Needs
Onwuegbuzie, Anthony J.; Leech, Nancy L. – Current Issues in Education, 2005
This paper identifies major errors and myths perpetuated by educational research textbooks. The most pervasive errors and myths advanced by methodology textbooks at the following eight phases of the educational research process are described: (a) formulating a research problem/objective; (b) reviewing the literature; (c) developing the research…
Descriptors: Research Problems, Research Design, Qualitative Research, Educational Research
Cress, Ulrike – International Journal of Computer-Supported Collaborative Learning, 2008
Per definition, CSCL research deals with the data of individuals nested in groups, and the influence of a specific learning setting on the collaborative process of learning. Most well-established statistical methods are not able to analyze such nested data adequately. This article describes the problems which arise when standard methods are…
Descriptors: Predictor Variables, Statistical Analysis, Research Needs, Educational Research
Henington, Carlen – 1994
It has been increasingly realized that (1) multivariate methods are essential in most quantitative studies (Fish, 1988; Thompson, 1992), and (2) all conventional parametric analytic methods are correlational and invoke least squares weights (e.g., the beta weights in regression) (Knapp, 1978; Thompson, 1991). The present paper reviews one very…
Descriptors: Correlation, Least Squares Statistics, Measurement Techniques, Multivariate Analysis

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