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SPSS Cumulative Assessment Instructions

Instructions for conducting cumulative assessments using SPSS software.

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    PSYC 355 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 - note s . 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: R eport statistical findings and make statements for all main effects and interaction effects. U se 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 d ecrease 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

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    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

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    PSYC 355 Page 3 of 13 c) Current APA - style Results section From the correlation table we see that there is a correlation between pain before tx and pain after tx at 5% level of significance because the p value corresponding to r=0.710 is 0.002 which is less than 0.05 at 5% level of significance and also the correlation between them is strong and positive. We can determine from a paired samples t - test that the mean pain score after treatment was not significantly lower than before treatment, t (15) = 1.732, p = 0.052>0.05 at 5% level of significance, one - tailed. The mean score of self - reported pain in children after treatment was 5.38 (SD = 1.93) and before treatment was 6.13 (SD = 2.45). Conclusion: the treatment is not

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