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Kaltsonoudi, Kalliope; Tsigilis, Nikolaos; Karteroliotis, Konstantinos – Measurement in Physical Education and Exercise Science, 2022
Common method variance refers to the amount of uncontrolled systematic error leading to biased estimates of scale reliability and validity and to spurious covariance shared among variables due to common method and/or common source employed in survey-based researches. As the extended use of self-report questionnaires is inevitable, numerous studies…
Descriptors: Athletics, Research, Research Methodology, Error of Measurement
Ella Patrona; John Ferron; Arnold Olszewski; Elizabeth Kelley; Howard Goldstein – Grantee Submission, 2022
Purpose: Systematic reviews of literature are routinely conducted to identify practices that are effective in addressing educational and clinical problems. One complication, however, is how best to combine data from both group experimental design (GED) studies and single-case experimental design (SCED) studies. Percent of Goal Obtained (PoGO) has…
Descriptors: Preschool Children, Vocabulary Development, Intervention, Error of Measurement
Westlund, Erik; Stuart, Elizabeth A. – American Journal of Evaluation, 2017
This article discusses the nonuse, misuse, and proper use of pilot studies in experimental evaluation research. The authors first show that there is little theoretical, practical, or empirical guidance available to researchers who seek to incorporate pilot studies into experimental evaluation research designs. The authors then discuss how pilot…
Descriptors: Use Studies, Pilot Projects, Evaluation Research, Experiments
Rosen, Brittany N.; Lee, Brian K.; Lee, Nora L.; Yang, Yunwen; Burstyn, Igor – Journal of Autism and Developmental Disorders, 2015
We conducted a meta-analysis of 15 studies on maternal prenatal smoking and ASD risk in offspring. Using a random-effects model, we found no evidence of an association (summary OR 1.02, 95% CI 0.93-1.12). Stratifying by study design, birth year, type of healthcare system, and adjustment for socioeconomic status or psychiatric history did not alter…
Descriptors: Smoking, Mothers, Prenatal Influences, Pervasive Developmental Disorders
Bernard, Robert M.; Borokhovski, Eugene; Schmid, Richard F.; Tamim, Rana M. – Journal of Computing in Higher Education, 2014
This article contains a second-order meta-analysis and an exploration of bias in the technology integration literature in higher education. Thirteen meta-analyses, dated from 2000 to 2014 were selected to be included based on the questions asked and the presence of adequate statistical information to conduct a quantitative synthesis. The weighted…
Descriptors: Meta Analysis, Bias, Technology Integration, Higher Education

Wolfe, Lee M. – Multiple Linear Regression Viewpoints, 1979
The inclusion of unmeasured variables in path analyses in educational research is discussed. The statistical basis for inclusion is presented, along with several examples. (JKS)
Descriptors: Critical Path Method, Educational Research, Error of Measurement, Multiple Regression Analysis
Willson, Victor L.; And Others – 1982
Given the complexity of classroom reading observations, maintenance of measurement reliability is a concern to researchers. Sources of variation contributing to the unreliability of many measurements may be either (1) lasting and specific, (2) lasting and general, (3) temporary and specific, or (4) temporary and general. Lasting-specific sources…
Descriptors: Classroom Communication, Classroom Observation Techniques, Data Collection, Error of Measurement

Kraemer, Helena Chmura – Journal of Consulting and Clinical Psychology, 1981
A broad range of strategies in sampling, measurement, design, execution, implementation, and analysis are examined. Specific strategies are suggested that tend to be successful in the real world of psychiatric clinical research. (Author)
Descriptors: Analysis of Variance, Clinical Psychology, Data Analysis, Error of Measurement
Thompson, Bruce – 1987
This paper evaluates the logic underlying various criticisms of statistical significance testing and makes specific recommendations for scientific and editorial practice that might better increase the knowledge base. Reliance on the traditional hypothesis testing model has led to a major bias against nonsignificant results and to misinterpretation…
Descriptors: Analysis of Variance, Data Interpretation, Editors, Effect Size

Campbell, Richard T. – Sociology of Education, 1983
This paper analyzes Jencks et al's (1983) and Hauser et al's (1983) reports of their research on the Wisconsin status attainment model. For example, the meaning and interpretation of "unmeasured" family background are discussed and the charge that the status attainment model ignores social structure is examined. (Author/IS)
Descriptors: Ability Identification, Academic Ability, Academic Achievement, Academic Aspiration

Jencks, Christopher; And Others – Sociology of Education, 1983
Data from Project Talent are utilized to assess the representativeness of the samples used in the Wisconsin and the Exploration in Equality of Opportunity (EEO) surveys. Adequacy of the measures of academic aptitude and aspiration used in the surveys are examined, and problems with the Wisconsin model are briefly discussed. (RM)
Descriptors: Ability Identification, Academic Ability, Academic Achievement, Academic Aspiration

Hauser, Robert M.; And Others – Sociology of Education, 1983
An analysis of the Wisconsin model of achievement asks how powerful this model is in accounting for social influences, aspirations, and attainment when measurement error is taken into account. Revised estimates show support for the Wisconsin model. A revised model is even more powerful for explaining educational and occupational achievement.…
Descriptors: Ability Identification, Academic Ability, Academic Achievement, Academic Aspiration