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Cordray, David; Pion, Georgine; Brandt, Chris; Molefe, Ayrin; Toby, Megan – National Center for Education Evaluation and Regional Assistance, 2012
During the past decade, the use of standardized benchmark measures to differentiate and individualize instruction for students received renewed attention from educators. Although teachers may use their own assessments (tests, quizzes, homework, problem sets) for monitoring learning, it is challenging for them to equate performance on classroom…
Descriptors: Academic Achievement, Student Characteristics, Reading Achievement, Learner Engagement
Kidron, Yael; Lindsay, Jim – Regional Educational Laboratory Appalachia, 2014
REL Appalachia conducted a systematic review of the research evidence on the effects of increased learning time. After screening more than 7,000 studies, REL Appalachia identified 30 that met the most rigorous standards for research. A review of those 30 studies found that increased learning time does not always produce positive results. However,…
Descriptors: Time Factors (Learning), Time on Task, Meta Analysis, Standards
Collins, Kathleen M. T.; Onwuegbuzie, Anthony J.; Jiao, Qun G. – International Journal of Teaching and Learning in Higher Education, 2009
This study investigated the extent that cooperative group members' levels of hopefulness, operationalized as a combination of pathways to meet desired goals and the agentic thinking that motivates an individual to use those pathways, predict (a) group performance, namely, the quality of an article critique assignment and research proposal…
Descriptors: Graduate Students, Research Methodology, Research Proposals, Multiple Regression Analysis
Onwuegbuzie, Anthony J.; Daniel, Larry G. – 2000
The purposes of this paper are to identify common errors made by researchers when dealing with reliability coefficients and to outline best practices for reporting and interpreting reliability coefficients. Common errors that researchers make are: (1) stating that the instruments are reliable; (2) incorrectly interpreting correlation coefficients;…
Descriptors: Correlation, Generalization, Reliability, Research Methodology
McDowell, Mary Collier – ProQuest LLC, 2009
The purpose of this study was to determine the extent to which Collective Teacher Efficacy explained the variance in Black and Hispanic enrollment in Advanced Placement and International Baccalaureate classes. In order to achieve this purpose, survey research methodology was employed with Virginia high schools as the unit of study. Fifty-three…
Descriptors: Teacher Effectiveness, Advanced Placement, Research Methodology, School Size
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
Peer reviewedDickson, W. Patrick – Journal of Research in Science Teaching, 1973
Discusses three weaknesses in reporting research findings by commenting and criticizing research articles published in the eighth volume of Journal of Research in Science Teaching. (CC)
Descriptors: Educational Research, Methods, Reliability, Research Methodology
Thompson, Bruce; Snyder, Patricia A. – 1997
The mission of the "Journal of Counseling and Development" (JCD) includes the attempt to serve as a "scholarly record of the counseling profession" and as part of the "conscience of the profession." This responsibility requires the willingness to engage in self-study. This study investigated two aspects of research…
Descriptors: Counseling, Educational Research, Effect Size, Evaluation Methods
Crowley, Susan L.; Thompson, Bruce – 1991
Selected methods for evaluating the stability of research results empirically are described, especially with regard to multivariate analysis. It is critically important to evaluate the influences of sampling error on obtained results; statistical significance testing does not inform judgment regarding the probable replicability or the sampling…
Descriptors: Correlation, Educational Assessment, Evaluation Methods, Factor Analysis
Peer reviewedSuen, Hoi K.; Stevens, Robert J. – American Journal of Distance Education, 1993
Reports on a review of empirical research reports submitted over the past several years to the "American Journal of Distance Education" that identified common analytic problems and errors often overlooked by distance education researchers. Topics discussed include significance testing; assessment issues, including reliability and…
Descriptors: Distance Education, Educational Research, Evaluation Methods, Evaluation Problems
Forster, Fred – 1971
Statistical methods are described for diagnosing and treating three important problems in covariate tests of significance: curvilinearity, covariable effectiveness, and treatment-covariable interaction. Six major assumptions, prerequisites for covariate procedure, are discussed in detail: (1) normal distribution, (2) homogeneity of variances, (3)…
Descriptors: Analysis of Covariance, Classification, Computer Programs, Hypothesis Testing
Peer reviewedCohen, Patricia – Evaluation and Program Planning: An International Journal, 1982
The various costs of Type I and Type II errors of inference from data are discussed. Six methods for minimizing each error type are presented, which may be employed even after data collection for Type I and which minimizes Type II errors by a study design and analytical means combination. (Author/CM)
Descriptors: Analysis of Variance, Data Analysis, Data Collection, Error of Measurement
Peer reviewedMenon, Rama – Mathematics Education Research Journal, 1993
Discusses five common myths about statistical significance testing (SST), the possible erroneous and harmful contributions of SST to educational research, and suggested alternatives to SST for mathematics education research. (Contains 61 references.) (MKR)
Descriptors: Criteria, Educational Research, Elementary Secondary Education, Hypothesis Testing

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