Meta-Analysis in Marketing when Studies Contain Multiple Measurements

By Tammo H. A. Bijmolt, Rik Pieters. 2001

304 citations recorded by the source corpus.

Subfields: Information Systems and Management, Management Science and Operations Research, Marketing

View Paper: https://www.semanticscholar.org/paper/51a27e3884a5fdb16865a08f1f21fdba197015b7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems and Management

1. Marc van Essen
2. J. Otten
3. Pursey PMAR Heugens
4. Eric Gedajlovic
5. S. Gechert
6. P. Bom
7. Elisabeth Albertini
8. P. Duran

In Management Science and Operations Research

1. S. Gechert
2. P. Bom
3. J. Otten
4. Elisabeth Albertini
5. P. Duran
6. Valentina Marano
7. H. Oosterhout
8. J. V. van Oosterhout

In Marketing

1. Martin Eisend
2. S. Gechert
3. P. Bom
4. J. Otten
5. Elisabeth Albertini
6. P. Duran
7. Valentina Marano
8. H. Oosterhout

Citations in the corpus

• Advertising Repetition: A Meta-Analysis on Effective Frequency in Advertising (2015, methodology): “This procedure is recommended for meta-analysis with a nested data structure (Bijmolt and Pieters 2001).”
• WHAT HAVE WE LEARNED FROM THREE DECADES OF RESEARCH ON THE PRODUCTIVITY OF PUBLIC CAPITAL (2014, unknown): “111 40 Boarnet (1998) US 0.”
• Doing More with Less: Innovation Input and Output in Family Firms (2016, unknown): “Monte Carlo simulations showed that procedures using the complete set of measurements outperformed those representing each study by a single value in areas such as parameter significance testing and parameter estimation accuracy (Bijmolt& Pieters, 2001).”
• FDI and Taxation: A Meta-Study (2011, unknown): “As shown by Bijmolt and Pieters (2001) using random effects cluster estimation techniques which take account of the presumed dependence problem resulting from multiple sampling in meta-analysis might be advisable.”
• Information Strategies and Energy Conservation Behavior: A Meta-Analysis of Experimental Studies from 1975 to 2012 (2013, unknown): “The techniques for analysis generally result in increased statistical power – roughly equal to the sum of individual sample sizes – and can result in improved parameter signi fi cance and accuracy relative to primary studies alone (see Bijmolt and Pieters, 2001).”
• A Meta-Analysis of the International Gender Wage Gap (2005, unknown): “Bijmolt and Pieters (2001) show in a Monte-Carlo study on meta-analyzing the effects of marketing measures that using only a single value for each study might lead to misleading results.”
• Corporate boards and the performance of Asian firms: A meta-analysis (2012, methodology): “A Monte Carlo simulation by Bijmolt and Pieters (2001) shows that procedures using the complete set of measurements outperform those representing each study by only a single value (such as a single best indicator or a composite measure) in areas like parameter significance testing and parameter…”