The text examines multilevel regression models in the context of
multilevel structural equation modeling (SEM) in terms of accuracy
of parameter estimates, standard errors, and fit indices in normal
and nonnormal data under various sample sizes and differing
estimators (maximum likelihood, generalized least squares, and
weighted least squares). The finding revealed that the regression
coefficients were estimated with little to no bias among the study
design conditions investigated. However, the number of clusters
(group level) appeared to have the greatest impact on bias among
the parameter estimate standard errors at both level- 1 and
level-2. Regarding fit statistics, negative bias was noted among
each of the fit indices investigated when the number of clusters
ranged from 30 to 50 and cluster size was fixed at 10.
Recommendations for the substantive researcher are presented and
areas of future research are discussed.
General
| Imprint: |
Lap Lambert Academic Publishing
|
| Country of origin: |
Germany |
| Release date: |
June 2010 |
| First published: |
June 2010 |
| Authors: |
Jimmy Byrd
|
| Dimensions: |
229 x 152 x 18mm (L x W x T) |
| Format: |
Paperback - Trade
|
| Pages: |
308 |
| ISBN-13: |
978-3-8383-4780-6 |
| Categories: |
Books >
Science & Mathematics >
Mathematics >
Probability & statistics
|
| LSN: |
3-8383-4780-3 |
| Barcode: |
9783838347806 |
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