14.01.2022
PSYC216 Social Statistics II final examination example questions
Lecturer: Assist. Prof. Dr. Deniz Atalar
Academic semester: Fall 2021 - 2022
Two factor analysis of variance example question
1. A researcher was interested in defining the relationship between type of television
program and amount of time watching this program on the school performance of
individuals. The researcher used a between subjects design. The data from this study
can be found in the below table. Compare the mean differences using the results from
this study, incorporating hypothesis testing steps and an alpha level (α) of .05.
Program type
Educational TV
Non-educational
TV
Amount of time watching TV
Substantial
Little watching
watching
1
6
5
6
4
4
3
5
2
4
M=3
M=5
T = 15
T = 25
SS = 10
SS = 4
5
0
1
0
5
1
3
3
1
1
M=3
M=1
T = 15
T=5
SS = 16
SS = 6
N = 20
G = 60
∑x2 = 256
Correlation example question
2. A researcher performed a Pearson correlation analysis on the variables anxiety,
wellbeing and stress to identify if they were correlated. The researcher performed the
analysis in Jamovi and obtained the below table. Report the results of this analysis.
Regression example question
3. a. Find the equation for X for the predicted Y values from the below table data.
b. Calculate the expected Ŷ value for each of the X values using the equation.
c. Calculate r and the R2 values.
X
Y
3
4
2
7
5
6
1
1
4
2
Repeated-measures analysis of variance example question
4. A researcher wants to examine the benefits that therapy for depression produces
over two years. The researcher recruited fifty participants (n = 50) and recorded there
depression levels four times: before therapy, immediately after therapy, one year after
therapy and two years after therapy. The scores were recorded using a questionnaire
that measured depression. A Repeated Measures ANOVA was carried out to compare
the mean differences. The below Jamovi output tables contain the results from this
research. Report the results from this research stating the ANOVA results, Posthoc
test results (if necessary) and any other relevant results.
Multiple regression example question
5. A researcher is interested in the relationship between IQ, salary and hours an
individual sleeps. The researcher hypothesized that as IQ and salary increases hour’s
slept decreases. A regression analysis was carried out using multiple regression to
analyse this data. The researcher defined IQ and salary as the predictor variables and
hours slept as the outcome variable. The below SPSS output tables contain the
results from this research. Report the results from this research stating the
regression results.