Applied Social Behavior Research 2 Flashcards
confidence intervals or interval estimates
Are the range of upper and lower sample statistical values that are consistent with observed data and are likely to contain the actual population mean.
confirming and disconfirming sampling
It is a purposeful strategy used during a qualitative study to follow up on specific cases to test out or explore further specific findings.
confounding variables
(sometimes called spurious variables) are attributes or characteristics that the researcher cannot directly measure because their effects cannot be easily separated from other variables, even though they may influence the relationship between the independent and the dependent variable.
constant comparison
is an inductive (from specific to broad) data analysis procedure in grounded theory research of generating and connecting categories by comparing incidents in the data to other incidents, incidents to categories, and categories to other categories.
control variable
Is a variable that the researcher does not want to measure directly but is important to consider and “neutralize” because it potentially influences the dependent variable. Typically, control variables are personal, demographic attributes or characteristics.
convergent (or parallel or concurrent) mixed methods design
consists of simultaneously collecting both quantitative and qualitative data, merging the data, and using the results to best understand a research problem.
convenience sampling
Is a nonprobability sampling procedure in which the researcher selects participants because they are willing and available to be studied.
core category
In grounded theory research is the central category around which the theory is written.
correlational research designs
Are quantitative designs in which investigators use a correlation statistical technique to describe and measure the degree of association (or relationship) between two or more variables or sets of scores.
covariates
Are variables that the researcher controls for using statistics and that relate to the dependent variable but not the independent variable.
covary
means that a score can be predicted on one variable with knowledge about the individual’s score on another variable.