An Examination of Methods Used to Generate Daily Group Scores from Single-Item-Per-Subject Data Collected in Intensive Time-Series Designs
Examined three methods which can be used to pool single-item-per-subject data collected in intensive time-series studies, determining if method of pooling has an effect on subsequent data analysis. Methods examined were based on simple averaging, difficulty weightings of averages, and the applicatio...
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| Published in | Journal of research in science teaching Vol. 21; no. 3; p. 315 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
01.03.1984
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| Subjects | |
| Online Access | Get more information |
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| Abstract | Examined three methods which can be used to pool single-item-per-subject data collected in intensive time-series studies, determining if method of pooling has an effect on subsequent data analysis. Methods examined were based on simple averaging, difficulty weightings of averages, and the application of the Rasch logistic model. (JM) |
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| AbstractList | Examined three methods which can be used to pool single-item-per-subject data collected in intensive time-series studies, determining if method of pooling has an effect on subsequent data analysis. Methods examined were based on simple averaging, difficulty weightings of averages, and the application of the Rasch logistic model. (JM) |
| Author | Monk, John S |
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| SubjectTerms | Data Analysis Junior High Schools National Science Foundation Research Design Research Methodology Research Problems Science Education Secondary School Science Time Series Design |
| Title | An Examination of Methods Used to Generate Daily Group Scores from Single-Item-Per-Subject Data Collected in Intensive Time-Series Designs |
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