Week 5 quiz Flashcards
(49 cards)
quantitative research
explains conclusions by collecting numerical data that are analyzed using statistics
control
ability to manipulate, regulate, or statistically adjust for factors that can affect the DV
manipulation
treatment, implementation or IV in a study to determine it’s effect on the DV
bias
influence that distorts the results of the study
-identify possible sources of bias is critical
-randomization and binding
randomization
true experimental studies include some type of random sampling
-ensures equivalence of groups, eliminates key threat to internal validity
random sampling
each person in population has an equal chance of being selected
random assignment
equal change of being assigned to treatment or control group
single bind
participants do not know which study group they are in
double bind
binding both experimenters and participants
experimental research
(true) experimental research
quasi - experimental research
non-experimental research
observational , no manipulation
correlational / descriptive research
experimental design (randomized control trials)
examines differences b/t treated and untreated subjects
experimental design MUST include
manipulation
control
randomization
experimental design characteristics
-large number of participants from diverse areas
-strict guidelines for study inclusion
-random group assignment
-homogeneity b/t intervention and control
-consistent implementation
-same DV is measured in intervention and control group
experimental design strength
powerful in examining cause and effect relationship
-level II evidence
experimental design weakness
may be complicated to develop and expensive
difficult or impractical for certain clinical settings b/c of ethics
quasi experimental characteristics
-manipulation of IV
-lack of randomization or control
-practical, less expensive, generalizable
-more adaptable to real world setting
-level III evidence
nonexperimental design
-IV is NOT manipulated
-subjects are not random
-no control
-cannot make claims on cause and effect
nonexperimental use
describe phenomenon in detail
explaining or predicting relationships
longitudinal designs
gather data about subjects at more than one point in time
-experimental OR non-experimental
-prospective OR retrospective
longitudinal strengths
assess change in variables overtime
longitudinal weakness
-data collection may take a long time
-testing effects may be a threat
-mortality is a significant threat owing to the increased potential for attrition
cross-sectional design
collects data about IV and DV at the same time
-difficult to determine cause and effect
-non-experimental
cross sectional strengths
-less time consuming and expensive
-large amounts of data can be collected at one point
-confounding variable of maturation resulting from elapsed time
