design, choose a smaller rather than a larger sample size, and so on, thus suboptimizing the research design decisions and settling for a lower level of scientific rigor because of resource constraints. 5. Managerial Implications a. The manager also understands why the reports sometimes indicate data analytic results based on small sample sizes, when a lot of time has been spent in collecting data from several scores of individuals, as in the case of studies involving groups, departments, or branch offices. b. Knowing that more rigorous research designs consume more resources, the manager is in a position to weigh the gravity of the problem experienced and decide what kind of design will yield acceptable results in an efficient manner. c. Knowledge of interconnections among various aspects of the research design helps managers to call for the most effective study, after weighing the nature and magnitude of the problem encountered, and the type of solution desired. d. One of the main advantages in fully understanding the difference between causal and correlational studies is that managers don’t fall into the trap of making implicit causal assumptions when two variables are only associated with each other. They realize that A could cause B, or B could cause A, or both A and B could covary because of some third variable.
- Summer '17
- Causality, Touring car racing, Longitudinal study, bank manager