Descriptor
| Hypothesis Testing | 3 |
| Statistical Significance | 3 |
| Test Interpretation | 3 |
| Probability | 2 |
| Data Analysis | 1 |
| Data Interpretation | 1 |
| Decision Making | 1 |
| Effect Size | 1 |
| Error Patterns | 1 |
| Error of Measurement | 1 |
| Power (Statistics) | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 2 |
| Reports - Research | 2 |
| ERIC Digests in Full Text | 1 |
| ERIC Publications | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedWestermann, Rainer; Hager, Willi – Perceptual and Motor Skills, 1983
Two psychological experiments--Anderson and Shanteau (1970), Berkowitz and LePage (1967)--are reanalyzed to present the problem of the relative importance of low Type 1 error probability and high power when answering a research question by testing several statistical hypotheses. (Author/PN)
Descriptors: Error of Measurement, Hypothesis Testing, Power (Statistics), Research Design
Peer reviewedHofmann, Richard J. – Educational and Psychological Measurement, 1979
The Guttman scale is discussed from the viewpoint of errors in response patterns. The errors are assumed to be distributed as a binomial. A double-barreled significance test is suggested having two probabilities: high probability and low probability. (Author)
Descriptors: Error Patterns, Hypothesis Testing, Probability, Psychometrics
Download full textThompson, Bruce – 1994
Too few researchers understand what statistical significance testing does and does not do, and consequently their results are misinterpreted. This Digest explains the concept of statistical significance testing and discusses the meaning of probabilities, the concept of statistical significance, arguments against significance testing,…
Descriptors: Data Analysis, Data Interpretation, Decision Making, Effect Size
