NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20260
Since 20250
Since 2022 (last 5 years)0
Since 2017 (last 10 years)0
Since 2007 (last 20 years)15
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing 1 to 15 of 30 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Nowacki, Amy S. – Journal of Statistics Education, 2015
Statistics courses that focus on data analysis in isolation, discounting the scientific inquiry process, may not motivate students to learn the subject. By involving students in other steps of the inquiry process, such as generating hypotheses and data, students may become more interested and vested in the analysis step. Additionally, such an…
Descriptors: Statistics, Teaching Methods, Data Analysis, Science Process Skills
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
McGowan, Herle M.; Vaughan, Joel – Teaching Statistics: An International Journal for Teachers, 2012
We describe an activity that allows students to experience the full process of a statistical investigation, from generating the research question, to collecting data and testing a hypothesis. Implementation of the activity is described both with and without use of clickers, handheld remotes that allow instant data collection.
Descriptors: Hypothesis Testing, Data Collection, Educational Technology, Computer Assisted Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Walsh, Thomas, Jr. – Journal of Statistics Education, 2011
"Survey Toolkit Collecting Information, Analyzing Data and Writing Reports" (Walsh, 2009a) is discussed as a survey research curriculum used by the author's sixth grade students. The report describes the implementation of "The Survey Toolkit" curriculum and "TinkerPlots"[R] software to provide instruction to students learning a project based…
Descriptors: Educational Strategies, Classroom Techniques, Research Methodology, Hypothesis Testing
Peer reviewed Peer reviewed
Direct linkDirect link
Boaduo, Nana Adu-Pipim – Educational Research and Reviews, 2011
Two basic data sources required for research studies have been secondary and primary. Secondary data collection helps the researcher to provide relevant background to the study and are, in most cases, available for retrieval from recorded sources. Primary data collection requires the researcher to venture into the field where the study is to take…
Descriptors: Research Problems, Writing Research, Research Methodology, Data Collection
Peer reviewed Peer reviewed
Direct linkDirect link
Im, Seongah; Yin, Yue – Studies in Educational Evaluation, 2009
This study illustrated the use of the Rule Space Method to diagnose students' proficiencies in, skills and knowledge of statistical hypothesis testing. Participants included 96 undergraduate and, graduate students, of whom 94 were classified into one or more of the knowledge states identified by, the rule space analysis. Analysis at the level of…
Descriptors: Graduate Students, Research Methodology, Testing, Hypothesis Testing
Peer reviewed Peer reviewed
Direct linkDirect link
Curran-Everett, Douglas – Advances in Physiology Education, 2009
Learning about statistics is a lot like learning about science: the learning is more meaningful if you can actively explore. This second installment of "Explorations in Statistics" delves into test statistics and P values, two concepts fundamental to the test of a scientific null hypothesis. The essence of a test statistic is that it compares what…
Descriptors: Hypothesis Testing, Statistics, Scientific Research, Science Education
Peer reviewed Peer reviewed
Direct linkDirect link
LeMire, Steven D. – Journal of Statistics Education, 2010
This paper proposes an argument framework for the teaching of null hypothesis statistical testing and its application in support of research. Elements of the Toulmin (1958) model of argument are used to illustrate the use of p values and Type I and Type II error rates in support of claims about statistical parameters and subject matter research…
Descriptors: Hypothesis Testing, Relationship, Statistical Significance, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Serlin, Ronald C. – Psychological Methods, 2010
The sense that replicability is an important aspect of empirical science led Killeen (2005a) to define "p[subscript rep]," the probability that a replication will result in an outcome in the same direction as that found in a current experiment. Since then, several authors have praised and criticized 'p[subscript rep]," culminating…
Descriptors: Epistemology, Effect Size, Replication (Evaluation), Measurement Techniques
Peer reviewed Peer reviewed
Direct linkDirect link
Capraro, Robert M.; Capraro, Mary Margaret – Middle Grades Research Journal, 2009
This study examines two journals specific to the middles grades where original quantitative empirical articles are published, Research in Middle Level Education and Middle Grades Research Journal to determine what quantitative statistics are used, how they are used, and what study designs are used. Important for those who write for the…
Descriptors: Periodicals, Research Methodology, Social Science Research, Effect Size
Rosenthal, James A. – Springer, 2011
Written by a social worker for social work students, this is a nuts and bolts guide to statistics that presents complex calculations and concepts in clear, easy-to-understand language. It includes numerous examples, data sets, and issues that students will encounter in social work practice. The first section introduces basic concepts and terms to…
Descriptors: Statistics, Data Interpretation, Social Work, Social Science Research
Peer reviewed Peer reviewed
D'Agostino, Ralph B.; Rosman, Bernard – Psychometrika, 1971
Descriptors: Hypothesis Testing, Research Methodology, Statistical Analysis, Statistical Significance
Pruzek, Robert M.; And Others
A description is given of a general method for studying partitions. The main focus is with the analysis of relationships among several different partitions of the same items for the explorations as well as confirmation of structural relationships. A partition is defined as a set of mutually exclusive clusters of items; however, this paper deals…
Descriptors: Cluster Grouping, Data Analysis, Data Collection, Hypothesis Testing
Previous Page | Next Page »
Pages: 1  |  2