Research Methods Flashcards
What’s a good guideline for reviewing manuscripts?
(Journal of Counseling Psychology Reviewer Guidelines, 2013)
A good hypothesis is a ___________ research question that provides direction for an experimental inquiry
testable (Heppner, Wampold, & Kivlighan, 2008)
Hypotheses should also be phrased as ______ statements so that they can be tested.
falsifiable (Popper, 1959)
research designs often offer a trade-off between ______ and __________ validity
internal and external (Heppner, Wampold, & Kivlighan, 2008)
What is an error that often occurs in reporting reliability and validity?
Authors don’t reference the sample from which estimates are derived (See Wilkinson, L. and the Task Force on Statistical Inference APA Board of Scientific Affairs, 1999).
What are some reliability statistics?
Cronbach’s alpha, KR-20, Intraclass Correlation Coefficients, Kappa, or test-retest reliability (Heppner, Wampold, & Kivlighan, 2008)
What are some different types of validity that are important?
1 face validity (the degree to which a measure appears “at face value” to measure the construct),
2 content validity (the content is relevant to the construct),
3 construct validity (the degree to which the measure accurately reflects the construct),
4 predictive validity (measure’s ability to predict something it should theoretically be able to predict),
5 concurrent validity (ability for measure to distinguish between groups it should theoretically be able to distinguish from),
6 convergent validity (degree to which measure is associated with measures it should be theoretically similar to),
7 discriminant validity (degree to which measure is dissimilar to measures it is theoretically dissimilar to).
What are 4 different types of studies that vary in their different levels of internal and external validity?
(Gelso, 1979) Experimental Field (Moderate I, Moderate E), Descriptive Field (Low I, High E), Experimental Laboratory (High I, Low E), Descriptive Laboratory (Low I, Low E)
What is MAXMINCON?
Kerlinger, 1986
1 MAXimize variance of experimental (important variables)
2 MINimize error variance
3 CONtrol for confound variables
Pros of MAXMINCON
- greater likelihood of significant effects
- better able to establish causality (if design affords this)
Cons of MAXMINCON
may not apply to applied settings where “perfect” control is not possible
What are methods of statistical control?
multiple regression, ANCOVA, partial correlations, residualizing
What are disadvantages of statistical control (compared to experimental control)?
- Assumes a linear relationship between confound variables and outcome variable
- Statistically controls for a “measured” confound variable. It is possible that aspects of the confound are not accounted for by the measurement, which always includes error.
- Cannot definitely rule out confounds, and therefore attribution of causality is attenuated
- May not be able to account for problems due to not being able to randomly assign participants
- Collinearity can be a problem if the confound variable (which is controlled for) correlates with predictor variables.
What are citations for describing the differences between quantitative and qualitative research?
Johnson & Christensen (2008); Lichtman (2006)
Qualitative research assumes there are multiple realities, in fact as many as there are participants. What field does this come from, and what ontology does this represent?
anthropology
interpretivist-constructivist relativist ontology
Guba & Lincoln, 1994