Chapter 2: Research Methods Flashcards
Types of variables
1) independent - the measure / manipulated variable (predictors)
2) dependent - what you’re studying, the variable of interest. (criteria)
ex: what impact does the independent variable have on what we’re studying (the dependent variable)?
3) extraneous variable aka confounding - an outlying variable that can contaminate the results.
3a) control variables - extraneous variables that need to be held constant on the study to not confusing results w/ impact if independent variables
Characteristics of a Good Theory
parsimonious (explain a lot as simply as possible)
precision (specific and accurate conceptual statements)
testability (verifiable by experimentation)
useful (focused on important phenomenon)
generative (stimulate research that attempts to support or refute the theory)
Inductive model of research
working from data to theory
deductive model of research
theory to data -
working from theory and propositions and then collect data to test
causal inference
a conclusion drawn about the likelihood of a causal relationship between variables
experimental research design
- Lab - control the environment
- Field / Quasi-experiments
Observational research design
- Survey
- Archival research - the most common example of meta-analysis
- Naturalistic observation
internal validity
confidence that result was from independent variable impacting dependent variable
external validity
can the results be generalized
hypothesis
tentative statement about relationship between two or more variables
Data Collection Techniques
naturalistic observation (unobtrusive) case studies archival research surveys experience sampling methodology social network analysis
Validity
am I accurately measuring the construct I’m describing?
Reliability
get consistent results / stable
Test/retest reliability
same individual, group, sample etc.)and measure the difference between the two scores
Parallel forms
common in standardized tests. I.e. Computerized adaptive testing. Different versions of the same test w/ consistent scores across both versions
Interrater reliability
across different raters (panel, assessor)
Internal consistency
multiple items that are meant to measure 1 thing, each item is behaving in a similar way, and accurately measuring what you want to measure, together.
construct validity
extent to which a test measures the underlying construct (something not observable - intelligence)that it was intended to measure
content validity
extent to which a test covers a representative sample of the quality being assessed
predictive validity
scores obtained at one point can predict criteria in the future
concurrent validity
test predicts a criterion that is measured at the same time the test os conducted. i.e. measure job attitudes and performance at the same time - gives us concurrent validity of job attitudes to predict performance
convergent validity
the degree to which the measure of the construct we’re interested in, is related to measures of similar constructs
divergent validity
the degree to which the measure of the construct we’re interested in, is unrelated to measures of dissimilar constructs
correlation coefficient
stat that measures the strength and direction (pos/neg) of a relationship between 2 variables
correlation
relevant because they are intimately involved in prediction in IO
regression
allows us to predict one variable from another = r