Descriptor
| Incidence | 2 |
| Mathematical Models | 2 |
| Statistical Distributions | 2 |
| Acoustics | 1 |
| High Risk Persons | 1 |
| Identification | 1 |
| Mental Health Programs | 1 |
| Novelty (Stimulus Dimension) | 1 |
| Probability | 1 |
| Scientific Research | 1 |
| Stimuli | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 2 |
| Reports - Descriptive | 1 |
| Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewedStacy, E. Webb, Jr. – Evaluation and Program Planning: An International Journal, 1981
The use of prevalence data is discussed to help find the best way to separate at-risk and not-at-risk groups. Implications of the data being distributed normally are also discussed and several examples, including one with a nonnormal distribution, are given. (Author/GK)
Descriptors: High Risk Persons, Incidence, Mathematical Models, Mental Health Programs
Direct linkBrown, Gordon D. A.; McCormack, Teresa; Smith, Mark; Stewart, Neil – Journal of Experimental Psychology: Human Perception and Performance, 2005
Two experiments examined identification and bisection of tones varying in temporal duration (Experiment 1) or frequency (Experiment 2). Absolute identification of both durations and frequencies was influenced by prior stimuli and by stimulus distribution. Stimulus distribution influenced bisection for both stimulus types consistently, with more…
Descriptors: Stimuli, Statistical Distributions, Mathematical Models, Novelty (Stimulus Dimension)
