Descriptor
| Data Interpretation | 3 |
| Research Methodology | 3 |
| Test Use | 3 |
| Data Analysis | 2 |
| Hypothesis Testing | 2 |
| Statistical Analysis | 2 |
| Decision Making | 1 |
| Effect Size | 1 |
| Higher Education | 1 |
| Institutional Research | 1 |
| Models | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 2 |
| ERIC Digests in Full Text | 1 |
| ERIC Publications | 1 |
| Guides - Non-Classroom | 1 |
| Reports - Evaluative | 1 |
| Reports - General | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
| Self Directed Search | 1 |
What Works Clearinghouse Rating
Peer reviewedStrahan, Robert F. – Journal of Vocational Behavior, 1987
Describes two new measures of consistency which refer to the extent to which more closely related scale types are found together in Holland's Self-Directed Search sort. One measure is based on the hexagonal model for use with three-point codes. The other is based on conditional probabilities for use with two-point codes. (Author/ABL)
Descriptors: Data Analysis, Data Interpretation, Personality Measures, Reliability
Peer reviewedYancey, Bernard D. – New Directions for Institutional Research, 1988
The ultimate goal of the institutional researcher is not always to test a research hypothesis, but more often simply to find an appropriate model to gain an understanding of the underlying characteristics and interrelationships of the data. Exploratory data analysis provides a means of accomplishing this. (Author)
Descriptors: Data Interpretation, Higher Education, Hypothesis Testing, Institutional Research
Thompson, 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


