PSY 321 Lecture Notes - Lecture 2: Qualitative Property, Causal Model, Systematic Sampling
Document Summary
Allows the collection of data from large numbers of participants at low cost. Can typically be analyzed with very powerful statistical methods. Difficult to draw casual interferences from survey data. Response rates for some forms of survey data are low. Identify variables --> literature search --> questionnaire design --> sampling --> data collection --> data analysis and presentation. Variables - characteristics of interest we measure that are thought to vary or differ across individuals. First identify variables of interest based on your own research question. Prevalence study - obtain descriptive information on single variables. Casual model study - test relationships between 2+ variables. H thi i b di d ith th t i l. Casual model - conceptual depiction or description of your study variables and predictions of how they should be related. Valid - accurately portray the concept under investigation. Is it measuring what you think it"s measuring. Construct validity - construct = concept and validity = accuracy/ truth.
