Error
variance
Null Hypothesis
External
Validity
Type I Error (Alpha)
Internal
Validity
Type II Error (Beta)
Independent
Variable
Interaction
Dependent
Variable
Main Effect
Ch 11 (Using
Specialized Research Designs):
Mixed design (split-plot)
Nested design
Quasi-independent variable
Experimental Design
Factor
Factorial Design
Control
Level
Nuisance Factor
Treatment Factor
Response Measure
Quasi-experimental research
Time series design
Interrupted Time series
Cross-sectional strategy
Longitudinal strategy
Ch 12 (Using
Single-Subject Designs):
Single-subject
AB Design
ABAB Design
Drifting baseline
Baseline phase
Intervention Phase
Intersubject
Intrasubject
Multiple-baseline
Reversal strategy
Discrete Trials Design
Pretest-posttest
Systematic variance
Stability criterion
Unrecoverable baseline
Short Essay
1. Give an example of how you might include a
quasi-independent
variable in an experiment. What
are the advantages and
disadvantages of doing this? (3 pts.)
2. Compare and contrast the group approach and
the
single-subject
approach with respect to handling
error
variance and
establishing the reliability of
findings. (2 pts.)
3. Explain the null hypothesis and the
alternative
hypothesis.
(2 pts.)
4. How is a quasi-experimental design similar to
a
correlational
design? (2 pts.)
5. How is a quasi-experimental design similar to
an
experimental
design? (2 pts.)
6.
APA style for an article (reference section, first citations,
additional
citations).
Essay
1.List and describe the major features
of the single-subject
baseline design. (10 points)
IDENTIFY THE INDEPENDENT AND DEPENDENT VARIABLES.
FOR THE FOLLOWING EXPERIMENTAL DESIGNS:
A) tell whether it is one-way
or factorial.
B) tell whether it is between,
within, or mixed.
C) identify the factor(s) and
the levels.