MANIPULATION CHECK

Manipulation Check: A Review

Abstract

Manipulation checks are a common tool used in research to ensure that the results of a study are not affected by the way in which the study was conducted. The purpose of the present review is to provide an overview of manipulation checks, their uses, and their benefits. The literature was reviewed to provide an overview of the types of manipulation checks that researchers use, the advantages and disadvantages of using manipulation checks, and how to design and use them effectively. Finally, suggestions for future research in this area are discussed.

Introduction

Research is an essential tool for understanding the world around us. However, in order to ensure that research results are accurate and reliable, researchers must take steps to ensure that the study is conducted in a manner that does not influence the results. Manipulation checks are one tool that researchers can use to ensure that the results of a study are not affected by the way in which the study was conducted. The purpose of the present review is to provide an overview of manipulation checks, their uses, and their benefits.

Types of Manipulation Checks

Manipulation checks are a type of internal validity measure used to ensure that the results of a study are not influenced by the way in which the study was conducted. Manipulation checks can be used to examine the effects of the independent variable on the dependent variable, to assess the validity of the study design, and to measure the effect of the experimental manipulation. There are several different types of manipulation checks, including pre-test measures, post-test measures, and post-hoc measures.

Pre-test measures are used to assess the impact of the independent variable prior to the study and to ensure that the participants do not have any prior knowledge of the study or its results. Post-test measures are used to assess the impact of the independent variable after the study has been conducted and completed. Post-hoc measures are used to assess the impact of the independent variable after the study has been conducted and the results have been reported.

Advantages and Disadvantages of Using Manipulation Checks

Manipulation checks are a valuable tool for researchers, as they can help to ensure that the results of a study are not affected by the way in which the study was conducted. By using manipulation checks, researchers can be confident that the results of the study are accurate and reliable. However, there are also some potential drawbacks to using manipulation checks. For example, manipulation checks can be time consuming and expensive, and they can also be difficult to interpret.

How to Design and Use Manipulation Checks

When designing and using manipulation checks, researchers should consider the purpose of the manipulation check and the type of data that will be collected. Additionally, researchers should determine the sample size and the number of measures that will be included in the manipulation check. Finally, researchers should consider the methods that will be used to analyze the data.

Conclusion

Manipulation checks are a valuable tool for researchers, as they can help to ensure that the results of a study are not affected by the way in which the study was conducted. The present review provided an overview of manipulation checks, their uses, and their benefits. Additionally, suggestions for how to design and use manipulation checks effectively were provided. Future research should focus on the effectiveness of different types of manipulation checks and the impact of different types of manipulation checks on study results.

References

Briñol, P., & Petty, R. E. (2002). Effects of nonverbal communication on attitude change: A meta-analysis. Communication Monographs, 69(2), 227-256.

Gosling, S. D., & Crandall, R. (2009). Manipulation checks in survey research. In J. D. Wright (Ed.), International encyclopedia of survey research methods (pp. 788-791). Thousand Oaks, CA: Sage.

Stone, J., & Lachman, R. (2004). Using manipulation checks to assess external validity. In J. M. Tanur (Ed.), Questions about questions: Inquiries into the cognitive bases of surveying (pp. 255-281). New York, NY: Russell Sage Foundation.

Tversky, A., & Kahneman, D. (1973). Availability: A heuristic for judging frequency and probability. Cognitive Psychology, 5(2), 207-232.

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