Cross-sectional time-series experiments
Some suggested statistical analyses
Bibliographic Data
| ID | 4424129 |
|---|---|
| Authors | Dean K Simonton (0000-0002-7709-7977, University of California, Davis, corresponding author) |
| Year | 1977 |
| Volume | 84 |
| Issue | 3 |
| Pages | 489-502 |
| Publication date | 1977-05-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Psychological Bulletin (JOURNAL) |
| Journal identifiers | ISSN: 0033-2909 • E-ISSN: 1939-1455 |
| Publisher | American Psychological Association (APA) (PUBLISHER) |
| DOI | 10.1037/0033-2909.84.3.489 |
| OpenAlex | W2095499010 |
| Language | EN |
| Citations received | 30 |
| References cited | 8 |
In the past, statistical analyses for time-series experiments have usually operated with a single-case model, thereby limiting the general applicability of the designs. In this article, alternative analytical procedures are developed for cross-sectional time-series in which the sample size is large
Biology · Cross-sectional study · Econometrics · Series (stratigraphy) · Statistical analysis · Statistics · Advanced Statistical Methods and Models · Diverse Academic Research Areas · Forecasting Techniques and Applications · Mathematics · Psychology · Sensory Analysis and Statistical Methods · Statistical Methods and Applications
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| Unique citing works | 27 |
|---|---|
| Citations per year | 0,6 |
| Citation span | 1976 - 2026 (51) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 24 |