A) Not realizing that groups are always dependent variables
B) That true differences may be obscured
C) Not looking at individual scores
D) That variability is increased
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Multiple Choice
A) Age is confounded with time of testing
B) It's difficult to recruit people for such a study
C) They are expensive
D) They take a long time to complete
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A) decide whether an evaluation should be done
B) examine the literature
C) determine the methodology
D) identify the stakeholders
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A) Whether the pattern of result can be accounted for by other differences between the groups.
B) Whether pretest and posttest performance differ for the groups
C) The number of participants in the study
D) The number of participants in the control group
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A) delayed posttest control group
B) interrupted time series
C) repeated treatment
D) regression discontinuity
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A) longitudinal
B) cross-sectional
C) sequential
D) program evaluation
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A) Reduces the internal validity of the experiment
B) Renders the experiment invalid
C) Eliminates the reliability of the experiment
D) Make interpretation impossible
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A) repeated treatment
B) mixed factorial
C) regression discontinuity
D) interrupted time series
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A) decide whether an evaluation should be done
B) examine the literature
C) determine how the evaluators will be compensated
D) identify the stakeholders
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A) measuring the dependent variable on a common scale
B) considering only those with the same independent variable
C) considering the variability of the response
D) correcting any skewness in the data
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A) interrupted time series
B) repeated treatment
C) regression discontinuity
D) nonequivalent control group
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A) non equivalent control group
B) within-subjects design
C) randomized design
D) factorial design
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A) Ex post facto variables
B) Extraneous variables
C) Confounding variables
D) Dependent variables
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A) delayed control group
B) repeated treatment
C) interrupted time series
D) regression discontinuity
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A) Cannot be believed because of confounding
B) Cannot always be interpreted
C) Lack power
D) Lack external validity
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A) Secular trend
B) Cohort
C) Cross-section
D) Longitudinal
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A) Meta-analysis
B) Program evaluation
C) Quasi-experimentation
D) Factor analysis
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A) Summative evaluation
B) Factorial design
C) Formative evaluation
D) Meta-analysis
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