ARH312Y1 Lecture : Sampling - Research Design
Document Summary
Failing to specify the research problem in enough detail (or not having a clear hypothesis: collecting the wrong kind of data, collecting the data at the wrong scale for the analytical method you plan to use. Failing to think in advance about what result would support, weaken or make you reject a. Failing to account for likely sources of error in observation or measurement. Searching for patterns or significance in a bunch of haphazard data different than yours. Validity: anticipate threats to internal and external validity. Will our results be correct under the circumstances of our research, measures we. Worse, did our selection method interact with the variable of interest: reactive effects: for experimental studies, is the knowledge that subjects are being tested. Identify your problem domain": reduce the research problem to one hypothesis or a few hypotheses (some theory might help, consider alternative hypotheses (typically including the opposite of your favored one, or the you explain something interesting)