SPSS Cumulative Assessment Instructions
Instructions for conducting cumulative assessments using SPSS software.
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PSYC 355
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SPSS Cumulative Assessment Instructions
The following research questions can be answered using 1 of the 5 tests you have learned so far:
single-sample t-test, paired-samples t-test, independent-samples t-test, one-way ANOVA, or
two-way ANOVA. Use the information in the tables to construct your SPSS data file, just as you
have been doing in Part 2 of each homework assignment. There is only 1 correct choice of
analysis for each question, and note that some tests are 1-tailed and some are 2-tailed. The
assessment is open-book/open-notes.
For each problem involving a test of significance, your answer must include: A) SPSS output; B)
an appropriate graph from SPSS; C) a Results section in current APA style including a statistical
statement (i.e., t(19) = 1.79, p = .049); a sentence summarizing the results “in English” (i.e.,
“There was a significant difference between the two groups on the variable…” or “There was no
significant difference…”); and a decision about the null hypothesis.
For ANOVA problems: Report statistical findings and make statements for all main effects and
interaction effects. Use Tukey’s test for any analyses requiring post hoc tests.
Submit this assignment by 11:59 p.m. (ET) on Monday of Module/Week 5.
1. Children who experience chronic pain as a result of medical procedures are the focus of a
psychiatrist’s study. Specifically, the psychiatrist wants to measure whether a new program
helps decrease feelings of chronic pain in the short-term. He measures children’s self-reports
of pain levels before treatment on a standardized scale with a range of 0–10, with 10 being
the most severe. He then administers the new program, and measures children’s pain levels
after treatment. Does the new treatment decrease self-reported levels of chronic pain? (16
pts)
Patient Pain before tx Pain after tx
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
9
5
6
4
3
10
9
9
7
5
2
5
8
3
6
7
8
6
4
3
3
8
6
7
8
4
4
4
5
5
3
8
Page 1 of 13
SPSS Cumulative Assessment Instructions
The following research questions can be answered using 1 of the 5 tests you have learned so far:
single-sample t-test, paired-samples t-test, independent-samples t-test, one-way ANOVA, or
two-way ANOVA. Use the information in the tables to construct your SPSS data file, just as you
have been doing in Part 2 of each homework assignment. There is only 1 correct choice of
analysis for each question, and note that some tests are 1-tailed and some are 2-tailed. The
assessment is open-book/open-notes.
For each problem involving a test of significance, your answer must include: A) SPSS output; B)
an appropriate graph from SPSS; C) a Results section in current APA style including a statistical
statement (i.e., t(19) = 1.79, p = .049); a sentence summarizing the results “in English” (i.e.,
“There was a significant difference between the two groups on the variable…” or “There was no
significant difference…”); and a decision about the null hypothesis.
For ANOVA problems: Report statistical findings and make statements for all main effects and
interaction effects. Use Tukey’s test for any analyses requiring post hoc tests.
Submit this assignment by 11:59 p.m. (ET) on Monday of Module/Week 5.
1. Children who experience chronic pain as a result of medical procedures are the focus of a
psychiatrist’s study. Specifically, the psychiatrist wants to measure whether a new program
helps decrease feelings of chronic pain in the short-term. He measures children’s self-reports
of pain levels before treatment on a standardized scale with a range of 0–10, with 10 being
the most severe. He then administers the new program, and measures children’s pain levels
after treatment. Does the new treatment decrease self-reported levels of chronic pain? (16
pts)
Patient Pain before tx Pain after tx
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
9
5
6
4
3
10
9
9
7
5
2
5
8
3
6
7
8
6
4
3
3
8
6
7
8
4
4
4
5
5
3
8
PSYC 355
Page 2 of 13
a) SPSS output
Paired Samples Statistics
Mean N Std. Deviation Std. Error Mean
Pair 1 Pain_before_tx 6.13 16 2.446 .612
Pain_after_tx 5.38 16 1.928 .482
Paired Samples Correlations
N Correlation Sig.
Pair 1 Pain_before_tx & Pain_after_tx 16 .710 .002
Paired Samples Test
Paired Differences
Mean Std. Deviation Std. Error Mean
95% Confidence Interval of the Diffe
Lower Uppe
Pair 1 Pain_before_tx - Pain_after_tx .750 1.732 .433 -.173
b) SPSS graph
Page 2 of 13
a) SPSS output
Paired Samples Statistics
Mean N Std. Deviation Std. Error Mean
Pair 1 Pain_before_tx 6.13 16 2.446 .612
Pain_after_tx 5.38 16 1.928 .482
Paired Samples Correlations
N Correlation Sig.
Pair 1 Pain_before_tx & Pain_after_tx 16 .710 .002
Paired Samples Test
Paired Differences
Mean Std. Deviation Std. Error Mean
95% Confidence Interval of the Diffe
Lower Uppe
Pair 1 Pain_before_tx - Pain_after_tx .750 1.732 .433 -.173
b) SPSS graph
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Statistics