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Peer reviewedBirch, Herbert G – American Journal of Public Health, 1972
A comprehensive review and analysis of significant research on malnutrition and learning. Indicates that nutritional factors contribute to depressed intellectual level and learning failure. (DM)
Descriptors: Data Analysis, Intelligence, Learning Disabilities, Literature Reviews
Peer reviewedLachenmeyer, Charles W. – Journal of General Psychology, 1972
Descriptors: Bias, Data Analysis, Emotional Response, Opinions
Peer reviewedSchwartz, Steven; Dalgleish, Len – Journal of Research in Personality, 1982
Statistical significance is not a sufficient condition for claiming a hypothesis has been supported. Constructive replications are more important. Statistically significant results may be meaningless while a sequence of nonsignificant results may be quite important. Gives advice on how to overcome some limitations of classifical statistical…
Descriptors: Bayesian Statistics, Data Analysis, Personality Studies, Research Methodology
Peer reviewedRoyse, David; And Others – Journal of Drug Education, 1982
Discusses problems encountered in evaluating a mass drug education program including instrument selection, logistical constraints, and data analysis. Offers suggestions as to program evaluation improvement. (Author/RC)
Descriptors: Data Analysis, Data Collection, Drug Education, Program Descriptions
Peer reviewedFurlong, Michael J.; Wampold, Bruce E. – Psychology in the Schools, 1981
To guide the unbiased process of visual inference, a four-step model is presented for the assessment of reliability, intervention effect, meaningfulness, and generalizability. A Visual Inference Checklist (VIC) systematizes this assessment process. (Author)
Descriptors: Bias, Data Analysis, Evaluation Methods, Identification
Peer reviewedBytheway, Bill; Hill, Reuben – Journal of Marriage and the Family, 1977
Bytheway discusses the problems of representation and sampling methodology found in the Three Generation Family Study directed by Hill at the University of Minnesota. Hill responds to this criticism and challenges Bytheway to provide a better sampling design. (Author/HLM)
Descriptors: Data Analysis, Family Relationship, Interaction Process Analysis, Research Methodology
Peer reviewedStrube, Michael J. – Journal of Counseling Psychology, 1988
Demonstrates that magnitude-of-effects (ME) estimates vary in susceptibility to sample-size bias depending on whether they are directional or nondirectional estimates. Also demonstrates that study characteristics that influence size of ME estimates can be explicitly taken into account when comparing studies. Emphasizes need to consider study…
Descriptors: Data Analysis, Effect Size, Estimation (Mathematics), Meta Analysis
Peer reviewedYin, Robert K. – Review of Educational Research, 1991
R. T. Ogawa and B. Malen's article does not meet its own recommended standards for rigorous testing and presentation of its own conclusions. Use of the exploratory case study to analyze multivocal literatures is not supported, and the claim of grounded theory to analyze multivocal literatures may be stronger. (SLD)
Descriptors: Case Studies, Data Analysis, Literature Reviews, Meta Analysis
Peer reviewedCernovsky, Zack Z. – Journal of Black Psychology, 1993
Reviews J. P. Rushton's data in "Race Differences in Behavior: A Review and Evolutionary Analysis" (1988), and suggests that aggregating large cohorts of methodologically weak studies results in misleading conclusions. A reanalysis of Rushton's data shows that cranial size is not a feasible indicator of intelligence and is similar in…
Descriptors: Blacks, Data Analysis, Error of Measurement, Intelligence
Peer reviewedRopers-Huilman, Becky – Journal for a Just and Caring Education, 1999
Through a layered analysis that reinterprets previous research experience with middle-schoolers, considers how being positioned researchers changes the interpretations or texts inscribed on their research interactions. Researchers create texts that unintentionally conceal the direction and nature of their "invasiveness." Conundrums abound in…
Descriptors: Critical Thinking, Data Analysis, Data Interpretation, Intermediate Grades
Wicherts, Jelte M.; Borsboom, Denny; Kats, Judith; Molenaar, Dylan – American Psychologist, 2006
The origin of the present comment lies in a failed attempt to obtain, through e-mailed requests, data reported in 141 empirical articles recently published by the American Psychological Association (APA). Our original aim was to reanalyze these data sets to assess the robustness of the research findings to outliers. We never got that far. In June…
Descriptors: Psychology, Psychological Studies, Ethics, Research Methodology
Young, Rosalie F.; Kahana, Eva – 1983
Research with older persons suffering from physical illness presents numerous challenges to gerontologists. Issues of conceptualization pertaining to the definition of illness, its location in the research paradigm, and the context in which illness occurs must be addressed prior to dealing with methodological problems. Access to physically ill…
Descriptors: Bias, Data Analysis, Diseases, Gerontology
Peer reviewedFarley, Frank H.; Cohen, Arie – Journal of Genetic Psychology, 1975
Criticizes studies of egocentric development in children using cutaneous perception procedures. Also questions study contribution to the understanding of the development of decentering. (Author/SDH)
Descriptors: Data Analysis, Developmental Psychology, Egocentrism, Laboratory Procedures
L'Hommedieu, Randi; And Others – 1987
Some of the frustrations inherent in trying to incorporate qualifications of statistical results into meta-analysis are reviewed, and some solutions are proposed to prevent the loss of information in meta-analytic reports. The validity of a meta-analysis depends on several factors, including the: thoroughness of the literature search; selection of…
Descriptors: Data Analysis, Literature Reviews, Meta Analysis, Research Methodology
Adams, Kay A. – 1982
The first step in aggregating qualitative data is to establish parameters for cross site analysis. Establishing parameters should include: (1) building a conceptual framework, (2) defining units of analysis, (3) developing core questions, and (4) establishing guidelines for handling unique features in each site. Two basic approaches to analyzing…
Descriptors: Content Analysis, Data Analysis, Guidelines, Research Methodology

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