7/1/25, 8:12
PM
TXST Empirical Research Methods Exam 2 COMM 3301
[Chilton] Exam questions and answers with complete
solutions latest version 2025/2026
Be able to distinguish between
Correlational & Experimental RQ/H
- No variable manipulation
Nonexperimental - Statistical relationships between variables
(correlational) design - No "usable" results (theoretical) ex: "it just so
happens..."
Pearson Correlation - Represented by "r" (aka Pearson coefficient)
(correlational RQ/H) - Examines the relationship between two
variables in a correlational RQ/H
- Shows potential effect (without an experiment)
Regression (predictive - 3 or more variables
RQ/H) - represented by F, R, R^2
Type of Variable
(Correlational vs
Predictive) # of
Pearson vs Regression Variables
1/
15
, 7/1/25, 8:12
PM
Test to use
Correlational -> 2 -
> Pearson
Predictive -> 3+ ->
Regression
Positive relationship Scores of both variables increase of decrease
Scores of one increase
and scores of the other
Negative relationship decrease
Experiment (definition) In an experiment we are looking for a difference
(difference = effect)
- 1, 2, 3, or 4(max) IVS on any # of DVs (∞)
- Active manipulation of IV(s) (demonstrating it)
True Experiment - Common Stimuli (IV)
- And then fill out surveys for DV(s)
- Stimulus = "Demonstration" or "Reenactment"
(IVs)
Stimulus and common - Examples: watching a video, reading a
types of stimuli scenario, viewing pictures, interacting with
a person, etc
2/
15
PM
TXST Empirical Research Methods Exam 2 COMM 3301
[Chilton] Exam questions and answers with complete
solutions latest version 2025/2026
Be able to distinguish between
Correlational & Experimental RQ/H
- No variable manipulation
Nonexperimental - Statistical relationships between variables
(correlational) design - No "usable" results (theoretical) ex: "it just so
happens..."
Pearson Correlation - Represented by "r" (aka Pearson coefficient)
(correlational RQ/H) - Examines the relationship between two
variables in a correlational RQ/H
- Shows potential effect (without an experiment)
Regression (predictive - 3 or more variables
RQ/H) - represented by F, R, R^2
Type of Variable
(Correlational vs
Predictive) # of
Pearson vs Regression Variables
1/
15
, 7/1/25, 8:12
PM
Test to use
Correlational -> 2 -
> Pearson
Predictive -> 3+ ->
Regression
Positive relationship Scores of both variables increase of decrease
Scores of one increase
and scores of the other
Negative relationship decrease
Experiment (definition) In an experiment we are looking for a difference
(difference = effect)
- 1, 2, 3, or 4(max) IVS on any # of DVs (∞)
- Active manipulation of IV(s) (demonstrating it)
True Experiment - Common Stimuli (IV)
- And then fill out surveys for DV(s)
- Stimulus = "Demonstration" or "Reenactment"
(IVs)
Stimulus and common - Examples: watching a video, reading a
types of stimuli scenario, viewing pictures, interacting with
a person, etc
2/
15
