[ Home ] PSYC 220 (Research Methods), Fall, 2007 S. J. Gilbert, SUNYOneonta
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V SPSS ASSIGNMENTS FROM Cronk, "How to Use SPSS," Third Edition
> Each SPSS assignment should contain two parts: 1. Part 1: SPSS Output Tables. Part 2: Answers to questions (see below). > Part 1: When you do statistical work using SPSS, it produces TABLES and FIGURES (graphs) that appear on an OUTPUT SCREEN. The relevant tables and figures should be pasted into the body of emails and sent directly to me at a special email address (spss220@oneonta.edu) created for this purpose (click here for special pasting instructions). Be sure to include your FAKE NAME (not your real name), Assignment #, Dataset (15), and Data Form (AE) in the body of the email. You also should make a paper copy for your own use in answering the questions in Part 2. 3. > Part 2: Each SPSS assignment appears below. Each assignment includes reading and instructional material. In addition, there are questions for you to answer. The identical questions appear on a computer survey instrument, one for each assignment. You access the survey by clicking on the appropriate hyperlink that can be found in each assignment.. Enter your answers to questions on the survey, and then press the SUBMIT button. This will send an email containing your answers, directly to me. You will receive feedback (comments and grades) from me, at a later time.
Grading of SPSS Assignments >Each assignment is worth 7.5 points. >7.5 points are awarded for each assignment containing no errors, that is turned in on time, along with the accompanying SPSS output sheets. >Feedback concerning an assignment containing errors is given to you via email. REPLY to this email with clearly labeled corrections to each identified error (Note: Do NOT send a new email; REPLY to the email you receive from me). This process will continue until there are no errors. 1.5 points are deducted for each required resubmission. Thus, you receive 6.0 points (80%) if 1 resubmission is required, 4.5 points (60%) if 2 resubmissions are required, etc. Please note the "deadline" for submitting each SPSS assignment. 0 points will be awarded for assignments not completed after the deadline. 
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>>> Read Chapter 1 in the Cronk text. >>> Dataset #1 contains the data you will be working with for Assignment 1. (Note: Use the form of Dataset #1 [A,B,C,D, or E] that you have been assigned.) Input the data from DATASET #1 into the DATAVIEW WINDOW of SPSS. Be sure to SAVE your work onto a floppy disc, for future use.
>>> Using
the DEFINE VARIABLE WINDOW, give each variable a VARIABLE NAME (e.g.,
COLOR), and a VARIABLE LABEL (e.g., COLOR OF TEST). 
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ASSIGNMENT 2: Descriptive Statistics I >>> Read designated sections of Chapter 2 in the Cronk text.
>>>
Dataset #5 contains the data you will be working with for Assignment
2. Click on the form of Dataset #5 [A,B,C,D, or E] that you have
been assigned.
>>>Using Compute command of SPSS, create a NEW VARIABLE, labeled CHARISMA, that is the sum of subjects' Extroversion, Agreeableness, Conscientiousness scores. >>> Using the DESCRIPTIVES procedure, generate descriptive statistics for subjects' CHARISMA SCORE. >>> Save the OUTPUT
FILE containing the descriptive statistics on a floppy disc, as well as
on the hard drive or "P" drive of your computer. You
will need this output to answer the questions below.
Answer the following Questions using the online Survey Form for Assignment 2
(A24) Given the Standard Deviation, what is the range within
which we would expect approximately 2/3rds of the CHARISMA scores to fall? 
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>>> Read designated sections of Chapter 3 in the Cronk text.
>>> Load the form of DATASET #1 that you have been assigned (A,B,C,D, or E) into the DATAVIEW window. >>> Using the DESCRIPTIVES procedure, generate descriptive statistics for subjects' SCORE on the test. >>> Using the ANALYZE > COMPARE MEANS > MEANS procedure, generate separate descriptive statistics for the test SCORES of the MALE and the FEMALE subjects. >>> Using the ANALYZE > COMPARE MEANS > MEANS procedure, generate separate descriptive statistics for the test SCORES of subjects who took BLUE tests and those who took WHITE tests. >>> Using the ANALYZE > COMPARE MEANS > MEANS procedure, and employing the "LAYERING" feature, generate separate descriptive statistics for the test SCORES of subjects with each combination of sex and paper color, i.e., MEN who took BLUE tests, MEN who took WHITE tests, WOMEN who took BLUE tests, and WOMEN who took WHITE tests. >>> Save the OUTPUT
FILE containing the descriptive statistics on a floppy disc, as well as
on the hard drive or "P" drive of your computer. You will need
this output to answer the questions below.
Answer the following Questions using the online Survey Form for Assignment 3
(A31) What is the MEAN test SCORE for all subjects? (A32) What is the LOWEST (minimal) SCORE of any FEMALE subject? (A33) What is the STANDARD DEVIATION of the SCORES of the MALE subjects? (A34) What is the HIGHEST (maximum) SCORE of anyone who took the BLUE test? (A35) What is the MEAN SCORE of subjects who took the WHITE test? (A36) What is the MEAN SCORE of MEN who took the BLUE test? (A37) What is the MEAN SCORE of WOMEN who took the WHITE test? (A38) Which of the four groups (MEN/WHITE, MEN/BLUE, WOMEN/WHITE, WOMEN/BLUE) did best on the test? (A39) Which of the four
groups did the worst? 
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>>> Read
Alison's story in Box 3.
Answer Questions (A41)  (A412) using the online Survey Form for Assignment #4
>>> Read Chapter
6, Section 6.3 in the Cronk text.
>>> Perform an INDEPENDENT SAMPLES ttest appropriate to test Alison's hypothesis. >>> Send the contents of the OUTPUT FILE containing the results of the ttest to spss220@oneonta.edu as an email attachment. (A49) Report the
dependent variable means and standard deviations for each of the two
groups. 
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>>> Read
Greg's story in Box 5.
Answer Questions (A51)  (A511) using the online Survey Form for Assignment #5
>>> Read Chapter 6,
Section 6.4 in the Cronk text. >>> Make sure you understand the definition in Box 6.
>>> Do a PAIRED ttest to test Greg's research hypothesis. >>> Send the OUTPUT FILE containing the results of the ttest to spss220@oneonta.edu as an email attachment. (A58) Report the
MEANS and STANDARD DEVIATIONS for the two sets of scores that you
are comparing with your ttest.
(A511) Make up a phony t and p that would compel the opposite conclusion from the one you reached in question (510). 
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ASSIGNMENT 6: Independent Samples (betweengroups) Oneway ANOVA >>> Review
Alison's story in Box 3.
Answer Questions (A61)  (A69) using the online Survey Form for Assignment #6
>>> Read Chapter 6,
Section 6.5 in the Cronk text. >>> Read Box # 9.
>>> Perform an Analysis of Variance (ANOVA) on the data from Jenny's experiment. Be sure to instruct SPSS to include descriptive statistics (Mean & Standard Deviation of the dependent variable measure for each group), and the Sheffe PostHoc Comparison test. >>> Send the OUTPUT FILE containing the results of the ANOVA and the PostHoc Comparison test to spss220@oneonta.edu as an email attachment. (A69) Using the model
phrasing suggested by Cronk on page 66, write a short paragraph describing the results of the ANOVA
and Sheffe tests, and interpreting the meaning of these results. Include
the following information: (d) what conclusions the Sheffe tests suggest concerning whether or not there are significant differences between each pair of means addressed in your RESEARCH HYPOTHESES (i.e., whether the results support your specific, directional RESEARCH HYPOTHESES). 
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>>>
Review Greg's story in Box 5.
Answer Questions (A71)  (A78) on the online Survey Form for Assignment #7
>>> Read
Chapter 6.7 in the Cronk text.
>>> Make sure you understand the definition in Box 11.
>>> Do a REPEATED MEASURES ONEWAY ANOVA on these three variables. But before you hit the 'OK' button to run the analysis, read this note....
(A78) Using the model phrasing suggested by Cronk on page 73, write a brief statement of the relevant statistics produced by the REPEATED SAMPLES ONEWAY ANOVA procedure (i.e., the means, standard deviations, F, dfs, and p). Make sure your description includes answers to the following questions: (a) Do the results enable you to accept the STATISTICAL ANOVA HYPOTHESIS that the means for the test questions written in the three font styles differ more than would be expected by chance; (b) Do the results warrant performing POSTHOC ttests comparing the means of each pair of scores; and (c) If the answer to (b) is "yes," then what conclusions do the results of each POSTHOC PAIRED ttest warrant concerning Ken's two RESEARCH HYPOTHESES? >>> Send the contents of the of the OUTPUT FILE containing the results of the ANOVA and the POSTHOC ttests (if necessary), to spss220@oneonta.edu as an email attachment.

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>>> Read
Rachel's story in Box 12.
Answer Questions (A81)  (A85) using the online Survey Form for Assignment #8
Need help in understanding (A81)  (A83)? Well, even if you think you don't, check out this Guide to Understanding Hypothesis Testing in Correlation Studies!
>>> Read Chapter 5,
Section 5.1 in the Cronk text. If you have the 3rd Edition, review
Appendix E, Section E.3. If you have the 4th Edition, review Chapter
4, Section 4.4. >>> Produce a SCATTERPLOT that graphically shows the actual relationship between the variables you chose in (81). (A84) Does the shape of the scatter suggest that a significant correlation has been obtained? Why (or why not)? >>> Perform the CORRELATION procedure, making an intercorrelation table showing the relationships among all four variables that Rachel measured. >>> Print out the contents of the OUTPUT WINDOW containing the SCATTERPLOT and INTERCORRELATION TABLE, write your Fake Name, the Assignment number, that Dataset, and the form of the dataset on the printout, and submit it to one of your TAs. (A85) Using the model phrasing suggested by Cronk on page 41 (for a significant result) or page 42 (for a result that is not significant), describe the results of the correlation procedure for the two variables you chose in (81). Be sure to include the relevant statistics (r, df, sig.), and to state whether or not the results support Rachel's hypothesis (i.e., are the results statistically significant?). 
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ASSIGNMENT 9: Multiple Regression Analysis >>> Read Chapter 5,
Sections 5.3 & 5.4 in the Cronk text.
>>> Load the
form of
DATASET #5
that you have been assigned (A,B,C,D, or E) into SPSS. >>> Send the contents of the OUTPUT FILE containing MULTIPLE REGRESSION to spss220@oneonta.edu as an email attachment.
Answer Questions
(A91)  (A95) using the online Survey Form for Assignment #9 (91) What percentage
of the overall variance in subjects' POPULARITY scores is explained
by (related to) the three predictor variables? >>> Report and interpret the statistics (F, dfs, p) that show whether the percentage described in (91) represents a statistically significant level of prediction, i.e., whether the R SQUARE is greater than that which we would expect to occur by chance. >>> Read
Box 14.
(93) Report the relevant
statistics (t, p), and determine whether they support
the contention that Extroversion predicts a SIGNIFICANT, UNIQUE portion
of the variance in POPULARITY. 
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ASSIGNMENT 10: TwoWay Chi Sq test >>> Load the
form of
DATASET #1
that you have been assigned (A,B,C,D, or E) into SPSS.
>>> Read Chapter 7, Section 7.2 in the Cronk text.
Answer Questions (A101)  (A104) using the online Survey Form for Assignment #10
(101) To determine whether the proportion of MEN to WOMEN SIGNIFICANTLY differed in the two groups, Alison did a CHI SQUARE test of INDEPENDENCE, with SEX and COLOR as the two variables. State the NULL HYPOTHESIS and the ALTERNATE (Research) HYPOTHESIS of Alison's CHI SQUARE test. Note: The only two variables being tested are SEX and COLOR. Your hypotheses should make no mention of test scores, or the internal validity of Alison's experiment; your hypotheses for this CHI SQUARE test should only deal with the question of whether the COLOR of the test a subject received was RELATED to the SEX of the SUBJECT, or NOT RELATED to the sex of the subject.
>>> Make a CROSSTABULATION TABLE and perform Alison's CHI SQUARE test. >>> Send the contents of the OUTPUT FILE containing the CROSSTABULATION TABLE and CHI SQUARE test to spss220@oneonta.edu as an email attachment. (102) Describe
the essential information contained in the CROSSTABULATION table.
What conclusion do the data appear to suggest, concerning whether
or not the proportion of MALES to FEMALES differ in the WHITE vs. BLUE
groups? 
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>>> Review Alison's story
in Box 3.
Answer Questions (A111)  (A119) using the online Survey Form for Assignment #11 >>>Box 17 represents the structure of Sonia's experiment. The letters AG represent means. For example, the letter A represents the mean test score of men who took the test on blue paper. The letter H represents the mean test score for all women. Box 17.
(A115) What letter represents the mean score of women who took white tests?
>>>The ANOVA provides answers to three statistical questions: (1) is there a main effect for the factor (independent variable) COLOR OF PAPER; (2) is there a main effect for the factor (independent variable) SEX OF SUBJECT; and (3) is there an interaction of the two factors (COLOR x SEX).
(A116) Which comparison provides an answer to the question: (1) is there a main effect for the factor COLOR OF PAPER? AB CD AC BD ABCD EF GH
(A117) Which comparison provides an answer to the question: (2) is there a main effect for the factor SEX OF SUBJECT? AB CD AC BD ABCD EF GH
(A118) Which comparison provides an answer to the question: (3) is there an interaction of the two factors (COLOR x SEX)? AB CD AC BD ABCD EF GH
(A119) Given her hypotheses, which of these three answers is Sonia most interested in? (1) is there a main effect for the factor COLOR OF PAPER (2) is there a main effect for the factor SEX OF SUBJECT (3) is there an interaction of the two factors (COLOR x SEX)
>>> Read Chapter 6,
Section 6.6 in the Cronk text. >>> Perform the appropriate Analysis of Variance (ANOVA) on the data from Sonia's experiment. Be sure to instruct SPSS to include descriptive statistics. >>> Send the contents of the OUTPUT FILE containing the results of the ANOVA to spss220@oneonta.edu as an email attachment.
(A1110) Using the model phrasing suggested by Cronk on pages 69 and 70, write a short paragraph describing the results of the ANOVA. Be sure to include all appropriate descriptive (means & sds) and inferential (Fs, df, p) statistics, and to speak directly to whether or not the results support Sonia's hypotheses. 
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>>> Review Greg's story in Box 5. >>> Review Ronnie's story
in Box 17.
Answer Questions (A121)  (A129) using the online Survey Form for Assignment #12 >>>Box 19 represents the structure of Ronnie's experiment. The letters AG represent means. For example, the letter A represents the mean test score of men on the standard font questions. The letter H represents the mean test score for all women. Box 17.
(A125) What letter represents the mean score of women on standard font questions?
>>>The ANOVA provides answers to three statistical questions: (1) is there a main effect for the factor FONT; (2) is there a main effect for the factor SEX OF SUBJECT; and (3) is there an interaction of the two factors (FONT x SEX).
(A126) Which comparison provides an answer to the question: Is there a main effect for the factor FONT? AB CD AC BD ABCD EF GH
(A127) Which comparison provides an answer to the question: Is there a main effect for the factor SEX OF SUBJECT? AB CD AC BD ABCD EF GH
(A128) Which comparison provides an answer to the question: Is there an interaction of the two factors (FONT x SEX)? AB CD AC BD ABCD EF GH
(A129) Given her hypotheses, which of these three answers is Ronnie most interested in? (1) is there a main effect for the factor FONT of question (2) is there a main effect for the factor SEX OF SUBJECT (3) is there an interaction of the two factors (FONT x SEX)
>>> Read Chapter 6,
Section 6.8 in the Cronk text. >>> Perform a MixedDesign Analysis of Variance (ANOVA) on the data from Ronnie's experiment. Be sure to instruct SPSS to include descriptive statistics. >>> Send the contents of the OUTPUT FILE containing the results of the ANOVA to spss220@oneonta.edu as an email attachment.
(A1210) Using the model phrasing suggested by Cronk on pages 76 and 77, write a short paragraph describing the results of the ANOVA. Be sure to include all appropriate descriptive (means & sds) and inferential (Fs, df, p) statistics, and to speak directly to whether or not the results support Ronnie's hypotheses. 
[ Home ] PSYC 220 (Research Methods), Fall, 2007 S. J. Gilbert, SUNYOneonta