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Peer reviewedHorn, Joseph M. – Child Development, 1985
In this rebuttal to Walker and Emory's commentary (also in this issue), Horn argues that the issue of the influence of environment on the average IQ of adopted children was well discussed in his article (Volume 54 of CHILD DEVELOPMENT). (BE)
Descriptors: Adopted Children, Bias, Data Interpretation, Intelligence Quotient
Peer reviewedGrant, Igor; Heaton, Robert K. – Journal of Consulting and Clinical Psychology, 1990
Provides update on what is currently known about neurobehavioral correlates of infection with human immunodeficiency virus-Type 1 (HIV-1), causative agent of acquired immunodeficiency syndrome. Discusses methodological and theoretical issues complicating interpretation of existing data and suggests strategies for future research in this area. (NB)
Descriptors: Acquired Immune Deficiency Syndrome, Data Interpretation, Neurological Impairments, Research Needs
Peer reviewedPeverly, Stephen T. – Review of Educational Research, 1991
The claim that knowledge alone accounts for variance of memory and development (MAD) is critiqued. Topics include the movement toward a knowledge-based view of MAD and problems with this approach; data suggesting that domain-independent strategies influence MAD; and evidence for a domain-independent tool of developmental import. (SLD)
Descriptors: Cognitive Processes, Data Interpretation, Development, Knowledge Level
Peer reviewedOrnstein, Allan C. – Education and Urban Society, 1986
Argues that teaching is both art and science, but that it is possible to evaluate effectiveness empirically. Discusses common research problems, including the large number of variables that can affect successful teaching; the validity of measurement instruments; and the relevance of research to actual classroom practices. (KH)
Descriptors: Data Interpretation, Educational Research, Elementary Secondary Education, Research Methodology
Peer reviewedMerenda, Peter F. – Measurement and Evaluation in Counseling and Development, 1997
Offers suggestions for proper procedures for authors to use--and some pitfalls to avoid--when writing studies using factor analysis methods. Discusses distinctions among different methods of analysis, the adequacy of factor structure, and other notes of caution. Encourages authors to ensure that their research is statistically sound. (RJM)
Descriptors: Data Interpretation, Factor Analysis, Factor Structure, Reliability
Wilkinson, Rebecca L. – 1992
Problems inherent in relying solely on statistical significance testing as a means of data interpretation are reviewed. The biggest problem with statistical significance testing is that researchers have used the results of this testing to ascribe importance or meaning to their studies where such meaning often does not exist. Often researchers…
Descriptors: Data Interpretation, Effect Size, Power (Statistics), Reliability
Kitao, S. Kathleen – 1991
Research results should not be taken at face value; some research is not well designed, and readers must be able to assess whether the research carried out actually supports the results or may be explained otherwise. Research reports are usually divided into introduction or literature review, methods, results, and discussion and conclusions. Basic…
Descriptors: Data Interpretation, Educational Research, Foreign Countries, Language Research
Morscheck, Thomas Lee – 1986
Individual marital therapy (IMT) is therapy in which one or both spouses are treated separately by different therapists who do not communicate with each other about treatment. Gurman and Kniskern (1978) reported an improvement rate of 48% and a deterioration rate of 11.6% for nonbehavioral IMT. These outcome data and the conclusions drawn from…
Descriptors: Counseling Effectiveness, Data Interpretation, Evaluation Criteria, Individual Counseling
Slater, Michael D. – 1989
The use of messages as experimental stimuli brings with it problems regarding the interpretability and generalizability of findings. Some psychologists and communication researchers have argued that message stimuli must be treated as random effects. A review of the literature examined data regarding experimental designs used in recent…
Descriptors: Communication Research, Data Interpretation, Higher Education, Literature Reviews
Peer reviewedHowe, Kenneth R. – Educational Researcher, 1985
In educational research, rigid distinctions between the relative merits of quantitative research often rest on positivistic dogma. In contrast, post-positivistic thought eliminates the intractable problem engendered by positivistic epistemology of a forced choice between value-laden and value-free research methods. (KH)
Descriptors: Bias, Data Interpretation, Educational Research, Inferences
Peer reviewedMatheny, Adam P., Jr. – Monographs of the Society for Research in Child Development, 1997
Notes two faulty aspects of the Reznick et al., twin study (PS 526 688): the expressive language measure at 14 months, which has practically no spread of item difficulty, as well as measures included to assess specific cognitive characteristics; and the notion of infant transition as it affects interpretation of the results. (HTH)
Descriptors: Cognitive Development, Data Interpretation, Developmental Stages, Infants
Peer reviewedSmith, Nick L. – Evaluation and Program Planning, 1990
A meta-analysis combining expert evaluation with naturalistic case study methods indicates that such investigations must use special methods to render evaluative judgments of worth. It is demonstrated that descriptive, interpretive, and evaluative aspects of such a study must be combined to yield justifiable conclusions. (TJH)
Descriptors: Aboriginal Australians, Case Studies, Data Interpretation, Meta Analysis
Peer reviewedBateson, David John – Alberta Journal of Educational Research, 1995
The entire thesis of "The Bell Curve" disintegrates due to biased use of data, misrepresentations, and logical inconsistencies. Five basic flaws are: inferring causality from correlation, use of dubious racial categories, contradictory arguments concerning the immutability of cognitive ability and the relative contributions of heredity…
Descriptors: Cognitive Ability, Data Interpretation, Inferences, Intelligence Differences
Peer reviewedKrishnan, Parmeswara – Alberta Journal of Educational Research, 1995
Comments on some methodological limitations of the research base of "The Bell Curve": blind use of the normal distribution (bell curve); avoidance of nonnormal statistical distributions, which are more appropriate for some social and economic characteristics; copious use of percentiles and quintiles, inappropriate with nonnormal…
Descriptors: Data Interpretation, Intelligence Quotient, Multivariate Analysis, Research Methodology
Peer reviewedStevenson, Harold W. – Educational Leadership, 1993
Excoriates Gerald Bracey's "broadsides" against the author's own article in same "Educational Leadership" issue for misinterpreting his conclusions and methodology. Stevenson's learning gap results did not oversimplify ability-effort relationship in U.S. and Asian students; results were similar for U.S. cities with both large…
Descriptors: Academic Achievement, Comparative Education, Data Interpretation, Elementary Secondary Education


