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Showing 1 to 15 of 31 results Save | Export
Imbens, Guido W.; Rubin, Donald B. – Cambridge University Press, 2015
Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This book starts with the notion of potential outcomes, each corresponding…
Descriptors: Causal Models, Statistical Inference, Statistics, Social Sciences
Martin, Michael O., Ed.; Mullis, Ina V. S., Ed.; Hooper, Martin, Ed. – International Association for the Evaluation of Educational Achievement, 2017
"Methods and Procedures in PIRLS 2016" documents the development of the Progress in International Reading Literacy Study (PIRLS) assessments and questionnaires and describes the methods used in sampling, translation verification, data collection, database construction, and the construction of the achievement and context questionnaire…
Descriptors: Foreign Countries, Achievement Tests, Grade 4, International Assessment
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Curran-Everett, Douglas – Advances in Physiology Education, 2012
Learning about statistics is a lot like learning about science: the learning is more meaningful if you can actively explore. This eighth installment of "Explorations in Statistics" explores permutation methods, empiric procedures we can use to assess an experimental result--to test a null hypothesis--when we are reluctant to trust statistical…
Descriptors: Statistical Analysis, Statistics, Physiology, Research Methodology
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Watson, Jane; Chance, Beth – Australian Senior Mathematics Journal, 2012
Formal inference, which makes theoretical assumptions about distributions and applies hypothesis testing procedures with null and alternative hypotheses, is notoriously difficult for tertiary students to master. The debate about whether this content should appear in Years 11 and 12 of the "Australian Curriculum: Mathematics" has gone on…
Descriptors: Foreign Countries, Research Methodology, Sampling, Statistical Inference
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Buchanan, Taylor L.; Lohse, Keith R. – Measurement in Physical Education and Exercise Science, 2016
We surveyed researchers in the health and exercise sciences to explore different areas and magnitudes of bias in researchers' decision making. Participants were presented with scenarios (testing a central hypothesis with p = 0.06 or p = 0.04) in a random order and surveyed about what they would do in each scenario. Participants showed significant…
Descriptors: Researchers, Attitudes, Statistical Significance, Bias
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Erford, Bradley T.; Miller, Emily M.; Schein, Hallie; McDonald, Allison; Ludwig, Lisa; Leishear, Kathleen – Journal of Counseling & Development, 2011
Publication patterns of articles in the "Journal of Counseling & Development" from 1994 to 2009 were reviewed. Trends over time were analyzed in article content (e.g., type, content topic) and author demographic characteristics (i.e., gender, nation of domicile, and employment setting). Of particular interest because of the scientific…
Descriptors: Periodicals, Counseling, Journal Articles, Authors
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Strayer, Jeremy F. – Mathematics Teacher, 2013
Statistical studies are referenced in the news every day, so frequently that people are sometimes skeptical of reported results. Often, no matter how large a sample size researchers use in their studies, people believe that the sample size is too small to make broad generalizations. The tasks presented in this article use simulations of repeated…
Descriptors: Sampling, Sample Size, Research Methodology, Statistical Analysis
Hipkins, Rosemary – Teaching and Learning Research Initiative, 2014
This is the first report from a new initiative called TLRI Project Plus. It aims to add value to the Teaching and Learning Research Initiative (TLRI), which NZCER manages on behalf of the government, by synthesising findings across multiple projects. This report focuses on two projects in statistics education and explores the factors that…
Descriptors: Statistics, Mathematics Education, Foreign Countries, Educational Research
Watson, Jane M.; Nathan, Erica L. – Mathematics Education Research Group of Australasia, 2010
As part of an interview protocol investigating teachers' pedagogical content knowledge (PCK) in statistics, 40 teachers were presented with a newspaper article reporting a phone-in survey about the legalisation of marijuana. The article and a question about the reliability of the sample had earlier been used in student surveys, and three student…
Descriptors: Mathematics Education, Student Surveys, Foreign Countries, Pedagogical Content Knowledge
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Gray, Jennifer – Communication Teacher, 2010
Courses: Beginning research methods and statistics courses, as well as advanced communication courses that require reading research articles and completing research projects involving statistics. Objective: Students will understand the difference between significant and nonsignificant statistical results based on p-value.
Descriptors: Research Methodology, Statistics, Undergraduate Students, Undergraduate Study
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Bailey, Brad; Spence, Dianna J.; Sinn, Robb – Journal of Statistics Education, 2013
Researchers and statistics educators consistently suggest that students will learn statistics more effectively by conducting projects through which they actively engage in a broad spectrum of tasks integral to statistical inquiry, in the authentic context of a real-world application. In keeping with these findings, we share an implementation of…
Descriptors: Statistics, Curriculum Implementation, Discovery Learning, Learning Activities
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Strasser, Nora – Journal of College Teaching & Learning, 2007
Avoiding statistical mistakes is important for educators at all levels. Basic concepts will help you to avoid making mistakes using statistics and to look at data with a critical eye. Statistical data is used at educational institutions for many purposes. It can be used to support budget requests, changes in educational philosophy, changes to…
Descriptors: Statistics, Statistical Data, Validity, Data Interpretation
TATE, MERLE W.; BROWN, SARA M. – 1964
TO STUDY THE EXACT DISTRIBUTIONAL DIFFERENCES BETWEEN SMALL, RELATED-SAMPLE PERCENTAGES AND THE ACCURACY OF LARGE-SAMPLE TESTS, SOME SIX HUNDRED SAMPLING DISTRIBUTIONS WERE CONSTRUCTED BY RANDOMIZATION. EXACT PROBABILITY FIGURES IN THE .204-.005 RANGE WERE TABULATED. THE TABLE OF SIGNIFICANCE VALUES EXTENDS TO SAMPLES YIELDING MATRICES VARYING IN…
Descriptors: Experimental Groups, Research Methodology, Sampling, Statistical Data
Cook, Tony; Rushton, Brian S. – Science Software Quarterly, 1984
Reviews a computer-assisted learning package (available from CONDUIT) which introduces survey and sampling techniques by pretending that the user is a pollster asking one of six questions of a more or less political nature. Documentation and performance are rated fair while ease of use is considered excellent. (JN)
Descriptors: Computer Assisted Instruction, Computer Software, Higher Education, Research Methodology
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Hinkle, Dennis E.; Oliver, J. Dale – Educational and Psychological Measurement, 1983
In this paper, tables for the appropriate sample sizes are presented and discussed in the context that the determination of the effect size must precede the determination of the sample size. (Author/PN)
Descriptors: Effect Size, Research Methodology, Research Needs, Research Problems
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