What do confidence intervals refer to?
a) Magnitude or effect of size
b) A range of values and the likelihood that effect size falls within it
c) A measure of variability centered around the mean
d) Extend the use of effect size across multiple studies
Question 2What is critical to do before beginning the analyses?
a) Check the data for errors.
b) Run the descriptive statistics.
c) Determine which statistical test will result in significance.
d) Eliminate all outliers.
Question 3Statistical significance, magnitude of effect, and clinical significance
a) Overlap greatly and any two allows one to infer the other one
b) Reflect different facets of the data and bear no necessary relation to each other
c) Are all ways to enhance the binary choice of statistical significance
d) Interconnect in subtle ways and work to amplify existing effects
Question 4What is an advantage of meta-analysis?
a) Can examine variables that were not a focus of the original research
b) Can examine the relations between measures
c) Can compare the validity of different investigations
d) Can examine the clinical significance of investigations
Question 5When are multivariate analyses appropriate?
a) When utilizing a factorial design
b) When measures are conceptually related
c) When measures are uncorrelated
d) When interest is in individual measures
Question 6Which of the following is an important consideration specific to making multiple comparisons?
a) Controlling variability in the data
b) Controlling the reliability of the measures
c) Controlling the experimental-wise error rate
d) Controlling the per-comparison error rate
Question 7A Bonferroni adjustment is designed
a) To allow one to detect effects that might be just at the borderline level (e. g., p < . 0)
b) To control for experiment-wise error rate
c) To increase power by using a more sensitive statistical test
d) To detect the strength of latent variables
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