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Peer reviewedLeslie, David W.; Fygetakis, Elaine C. – Research in Higher Education, 1992
This paper compares the results of National Center for Education Statistics (NCES) and the Carnegie surveys of postsecondary faculty and notes the differently constructed samples, the different response rates, and different weighting schemes in analysis and interpretation. Inconsistencies in the surveys' results are identified and methodological…
Descriptors: College Faculty, Data Analysis, Data Interpretation, Higher Education
Guess, Doug; Roberts, Sally; Behrens, Gene Ann; Rues, Jane – American Journal on Mental Retardation, 1998
Responds to a critique by Mudford, Hogg, and Roberts (1997) that raised concerns about the observation code used in a longitudinal research project to assess emerging behavior state patterns in young children with disabilities. Concerns about the thoroughness of the reliability data collected by Mudford are discussed. (Author/CR)
Descriptors: Behavior Patterns, Data Collection, Data Interpretation, Disabilities
Peck, Charles A. – Journal of the Association for Persons with Severe Handicaps, 2000
This commentary on the previous article on an interpretive research approach discusses the journey of a researcher from radical behaviorism, to interpretive social science, to an emerging viewpoint in which art more than science is used as a way of seeing issues related to disability, education, and change. (Contains 10 references.) (CR)
Descriptors: Adults, Children, Data Interpretation, Disabilities
Beretvas, S. Natasha – School Psychology Quarterly, 2005
This paper details the challenges encountered by authors summarizing evidence from a primary study to describe a treatment's effectiveness using an effect size (ES) estimate. Dilemmas that are encountered, including how to calculate and interpret the pertinent standardized mean difference ES for results from studies of various research designs,…
Descriptors: Effect Size, Research Methodology, Computation, Data Interpretation
Levering, Bas – Journal of Philosophy of Education, 2006
Science tends to find a solution to the problem of the unreliability of human perception by understanding objectivity as the absence of subjectivity. However, from a phenomenological point of view, subjectivity is not so much a problem as an inevitable starting-point. That does not mean that the problem of the correctness of people's accounts of…
Descriptors: Epistemology, Phenomenology, Research Methodology, Evaluation Research
Thompson, Bruce; And Others – 1991
Problems with using stepwise analytic methods are discussed, and better alternatives are illustrated. To make the illustrations concrete, an actual data set, involving responses of 91 medical school admissions directors to 30 variables, was used. The 30 variables involved perceptions of barriers to medical school with respect to characteristics of…
Descriptors: Admissions Officers, Data Interpretation, Effect Size, Higher Education
General Accounting Office, Washington, DC. – 1986
The Government Accounting Office (GAO) reviewed 71 actuarial, behavioral, and economic models that are used for retirement forecasting, focusing on models of federal retirement program costs, civilian retirement decisions, and retirement income. GAO wished to determine to what extent the models have been documented, to what extent the models are…
Descriptors: Data Interpretation, Decision Making, Income, Mathematical Models
Sharp, D. E. Ann; And Others – 1985
Hypothesis generation and testing is outlined as an additional domain for program evaluators. Program evaluation involves a thorough analysis of the processes that contribute to change (or a lack of change) among program recipients. This process of change is analyzed in two ways: (1) treating programs as naturally occurring field studies; and (2)…
Descriptors: Adults, Data Analysis, Data Interpretation, Evaluators
Peer reviewedGoswami, Usha; Bryant, Peter – Journal of Reading Behavior, 1989
Argues that only positive results in a reading-level (RL) match and negative results in a chronological-age (CA) match are interpretable; negative results in a CA match and positive results in a RL match are not. Argues that using the RL control is only a first step in research into reading disability. (RS)
Descriptors: Chronological Age, Data Interpretation, Matched Groups, Reading Ability
Peer reviewedDeal, James E. – Journal of Marriage and the Family, 1995
Dealing with data from multiple family members presents problems for researchers, as many of the techniques available for dealing with such data are problematic, and there is no way that is unique to each family. Proposes and gives an example of the use of Q factor analysis as a means of combining data from multiple family members in a unique way…
Descriptors: Correlation, Data Analysis, Data Interpretation, Factor Analysis
Peer reviewedMathison, Sandra. – Educational Researcher, 1988
Triangulation strategy results in evidence characterized by the following: (1) convergence; (2) inconsistency; and (3) contradiction. In order to render the data sensible, the researcher or evaluator must report data collection procedures, as well as the three levels of information from which explanations of social phenomena are constructed. (BJV)
Descriptors: Data Collection, Data Interpretation, Evaluation Methods, Evaluators
Peer reviewedKitchin, R. M.; Jacobson, R. D. – Journal of Visual Impairment & Blindness, 1997
Assesses techniques used by researchers to collect and analyze data on how people with visual impairments or blindness learn, understand, and think about geographic space. Recommendations are made for increasing the validity of studies, including the use of multiple, mutually supportive tests; larger samples; and real-world environments.…
Descriptors: Blindness, Cognitive Tests, Data Collection, Data Interpretation
Peer reviewedGoldstein, Miriam D.; And Others – Teaching of Psychology, 1994
Describes a class demonstration of observer bias in which students were led to believe what the research data would indicate. Reports that students reported trends consistent with the expectancy. Asserts that the demonstration had a strong and memorable effect on students and has value for demonstrating observer bias. (CFR)
Descriptors: Course Content, Data Interpretation, Higher Education, Learning Strategies
Ferguson, Dianne L.; Ferguson, Philip M. – Journal of the Association for Persons with Severe Handicaps, 2000
This article discusses how interpretive research can challenge the special education field to think differently about what is already known and to factor in different ways of knowing and different meanings. Three dimensions of interpretive research are explored: "truth" value and accuracy, context and relations, and utility and relevance.…
Descriptors: Adults, Children, Data Interpretation, Disabilities
Peer reviewedBoyd, Richard D. – Journal of Autism and Developmental Disorders, 1998
The possibility of differential sex proportions as a confounding factor in the Lovaas (1987) study is raised. It is argued that the chi-square analysis was inadequate and that the appropriate comparison should be made between the experimental and the control group using population data to estimate expected cell frequencies. (Author/CR)
Descriptors: Autism, Behavior Modification, Chi Square, Children

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