search query: @author Pieters, R. G. M. / total: 1
reference: 1 / 1
« previous | next »
| Author: | Bijmolt, T. H. A. Pieters, R. G. M. |
| Title: | Meta-analysis in marketing when studies contain multiple measurements |
| Journal: | Marketing Letters
2001 : VOL. 12:2, p. 157-170 |
| Index terms: | MARKETING MEASUREMENT MONTE CARLO TECHNIQUE |
| Language: | eng |
| Abstract: | This paper compares alternative procedures to deal with multiple measurements through the analysis of synthetic data sets in a Monte Carlo study and a re-analysis of a published marketing data set. The authors show that the choice of procedure to deal with multiple measurements is by no means trivial and that it has implications for the results and for the validity of the generalizations derived from meta-analyses. Procedures that use the complete set of measurements outperform procedures that represent each study by a single value. The commonly used method of treating all measurements as independent performs reasonably well but is not preferable. The authors show that the optimal procedure to account for multiple measurements in meta-analysis explicitly deals with the nested error structure. |
« previous | next »
SCIMA