Academic Journal
The Accuracy of Significance Tests for Slope Variance Components in Multilevel Random Coefficient Models
| العنوان: | The Accuracy of Significance Tests for Slope Variance Components in Multilevel Random Coefficient Models |
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| المؤلفون: | LaHuis, David M., Ferguson, Matthew W. |
| المصدر: | Organizational Research Methods ; volume 12, issue 3, page 418-435 ; ISSN 1094-4281 1552-7425 |
| بيانات النشر: | SAGE Publications |
| سنة النشر: | 2007 |
| الوصف: | This study examines the behavior of three tests for significant slope variance in multilevel random coefficient (MRC) models: the Hierarchical Linear Modeling chi-square test, the likelihood ratio test (LRT), and the corrected LRT. Monte Carlo simulations are conducted varying the numbers of groups, group size, and effect size. Results suggest that neither the number of groups nor group size influenced Type I errors. Group size has a stronger effect on power compared with the number of groups. The one-tailed LRT demonstrates the best balance between power and Type I errors. Recommendations for conducting MRC analyses are presented. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| DOI: | 10.1177/1094428107308984 |
| الاتاحة: | https://doi.org/10.1177/1094428107308984 https://journals.sagepub.com/doi/pdf/10.1177/1094428107308984 |
| Rights: | https://journals.sagepub.com/page/policies/text-and-data-mining-license |
| رقم الانضمام: | edsbas.1533434D |
| قاعدة البيانات: | BASE |
| DOI: | 10.1177/1094428107308984 |
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