An Ounce of Prevention Is Worth a Pound of Cure: Improving Research Quality Before Data Collection

We rely on classic as well as recently published sources to offer a review of theory, research design, and measurement issues that should be considered prior to conducting any empirical study. First, we examine theory-related issues that should be addressed before research design and measurement considerations. Specifically, we discuss how to make meaningful theoretical progress including the use of inductive and deductive approaches, address an important issue, and conduct research with a practical end in mind. Second, we offer recommendations regarding research design, including how to address the low statistical power challenge, design studies that strengthen inferences about causal relationships, and use control variables appropriately. Finally, we address measurement issues. Specifically, we discuss how to improve the link between underlying constructs and their observable indicators. Our review offers a checklist for use by researchers to improve research quality prior to data collection and by journal editors and reviewers to evaluate the quality of submitted manuscripts.