Correlational Designs

Test for Understanding Study Guide
PSYC 3003 Week 5
This study guide is
available to help you organize your focus and preparation as you prepare to take
the Test for Understanding on the content presented in the Learning Resources
assigned for this week. Read
the assigned chapters and take notes as needed on the topics listed within this
guide.
Please note:The Course Instructor is available throughout the courseto assist you
in your achievement of a better understanding of the course content; however,
the Instructor will not
provideyou with the answers to the study guide.

Chapter 9 – Correlational Designs
1.
Be
able to distinguish among the different ways to display correlational data and
how to interpret the data (e.g., type of relationship) in the following:
a.
Scatterplot
b.
Contingency
table
c.
Correlation
matrix
2.
Be
familiar with the following statistical measures:
a.
Pearson
product-moment correlation coefficient
b.
Chi-square
c.
Multiple
regression analysis and regression coefficients
3.
Be
able to distinguish among and identify examples of the following:
a.
Reciprocal
causation
b.
Common-causal
variables
c.
Third
variables
d.
Spurious
variables
e.
Extraneous
variables
f.
Mediating
variables

Chapter 10–
Experimental Research: One-Way Designs
1.
How
does a hypothesis in an experimental design differ from a hypothesis in a
non-experimental design with regard to statistical outcomes? Hint: What is
being compared?
2.
What
is the difference between an experimental
condition and a control condition?
3.
Be
able to identify characteristics of one-way
experimental designs.
4.
Be
able to identify the dependent variable, independent variable, and/or the
levels of the independent variable in applied examples.
5.
Why
might it be necessary to have multiple levels of the independent variable in an
experimental research design? What does doing this control for?
6.
What
is the goal of random assignment in
experimental research?
7.
What
do the results of anANOVA reveal? How
is an ANOVA different from a t-test?
8.
Be
able to distinguish among characteristics of repeated-measures designs, within-participants
designs, and between-participants
designs.
9.
What
is counterbalancing?