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Kraft, Matthew A. – Annenberg Institute for School Reform at Brown University, 2019
Researchers commonly interpret effect sizes by applying benchmarks proposed by Cohen over a half century ago. However, effects that are small by Cohen's standards are large relative to the impacts of most field-based interventions. These benchmarks also fail to consider important differences in study features, program costs, and scalability. In…
Descriptors: Data Interpretation, Effect Size, Intervention, Benchmarking
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Cridland, Elizabeth K.; Jones, Sandra C.; Caputi, Peter; Magee, Christopher A. – Journal of Intellectual & Developmental Disability, 2015
In this paper, the insights and experiences of a research team involved in conducting qualitative research with families living with autism spectrum disorder are drawn upon to provide reflections and recommendations across all stages of the qualitative research process. Particular attention is given to the steps involved in semistructured…
Descriptors: Qualitative Research, Family (Sociological Unit), Autism, Pervasive Developmental Disorders
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Bargagliotti, Anna E. – Journal of Statistics Education, 2012
Statistics and probability have become an integral part of mathematics education. Therefore it is important to understand whether curricular materials adequately represent statistical ideas. The "Guidelines for Assessment and Instruction in Statistics Education" (GAISE) report (Franklin, Kader, Mewborn, Moreno, Peck, Perry, & Scheaffer, 2007),…
Descriptors: Elementary School Mathematics, Alignment (Education), Probability, Statistics
Kotrlik, Joe W.; Williams, Heather A.; Jabor, M. Khata – Journal of Agricultural Education, 2011
The Journal of Agricultural Education (JAE) requires authors to follow the guidelines stated in the Publication Manual of the American Psychological Association [APA] (2009) in preparing research manuscripts, and to utilize accepted research and statistical methods in conducting quantitative research studies. The APA recommends the reporting of…
Descriptors: Agricultural Education, Statistical Significance, Effect Size, Educational Research
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Sun, Shuyan; Pan, Wei; Wang, Lihshing Leigh – Journal of Educational Psychology, 2010
Null hypothesis significance testing has dominated quantitative research in education and psychology. However, the statistical significance of a test as indicated by a p-value does not speak to the practical significance of the study. Thus, reporting effect size to supplement p-value is highly recommended by scholars, journal editors, and academic…
Descriptors: Effect Size, Statistical Inference, Statistical Significance, Data Interpretation
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Evans, Karen – Journal of Secondary Gifted Education, 1997
Data from interviews, surveys, and archival records were used to examine gifted education policy implementation in Missouri. The study found that school districts tend to use a programmed approach to policy implementation when identifying gifted students with state guidelines usually being used prescriptively. Results suggest a need for greater…
Descriptors: Ability Identification, Compliance (Legal), Data Interpretation, Educational Policy
Campbell, Patricia B. – 1989
This monograph examines educational research and some of the myths surrounding it. The results of educational research strongly influence education. Much research, past and present, is biased. It is necessary to understand that race and sex bias can affect research, to understand how to determine whether bias is present, and to know how to…
Descriptors: Data Interpretation, Educational Research, Elementary Secondary Education, Ethnic Stereotypes