Speaking Notes

PADM 5502

October 29, 2009

Dr. Neubauer

WHERE WE ARE

• Installment two of the term paper is due November 5. It is important to note that installment 2 should include your survey instrument. I do not want to give Incomplete grades in this course. Please make this paper a high priority.
• Please complete the online IRB training and give me your a copy of your certificate of completion. INCLUDE THIS CERTIFICATE WITH YOUR REQUEST TO IRB FOR EXPEDITED REVIEW.
• IRB training link . . .

• http://phrp.nihtraining.com/users/login.php
• register with an e-mail account and so forth
• read the contents of that page and then "click here to begin"
• consider downloading the PDF version of the entire course -- on next page, right click on "Download the PDF version" and save
• to your own computer in the location of your choice.
• The first quiz is at the end of the section titled, Codes and Regulations.
• Take the quiz.  If necessary, retake the quiz.
• Take all the quizzes and print out your certificate. Make copies of your certificate. Give me a copy -- not the original.

IT IS IMPORTANT THAT YOU SUBMIT YOUR REQUEST FOR IRB EXPEDITED REVIEW THIS SEMESTER!

· These are the links to the practice data resources ------------

· Link to practice survey instrument

· Link to practice research model

· Link to practice research hypotheses

· Link to practice data set

INSTALLMENT 2 SHOULD INCLUDE THE FOLLOWING:

· a cover page with the usual information (complete and formal)

· INTRODUCTION (revised, complete and formal)

· LITERATURE REVIEW (first major draft including correct APA citations of five appropriate peer-reviewed journal articles and/or books)

· RESEARCH QUESTIONS AND RESEARCH MODEL (revised, complete and formal)

· METHODOLOGY, POPULATION AND SAMPLING STRATEGY (complete and formal)

· HYPOTHESES (revised, complete and formal)

· FINDINGS (stub)

· DISCUSSION (stub)

· CONCLUSION (stub)

· REFERENCES (at least five peer-reviewed sources in correct APA style)

· APPENDIX 1: IRB FORMS (stub)

· APPENDIX 2: SURVEY INSTRUMENT (first draft)

IN CLASS EXERCISE FOR THIS EVENING

H1: that younger people are more likely than older people to be willing to relocate in the face of local economic decline.

IV = a new version of the variable named age that includes two categories with approximately 50% of the respondents in each value of the new variable.

DV = a new version of the wouldmove variable with three categories of the response with the following value labels -- Disagree, Undecided, and Agree.

Use the crosstabs command in SPSS to do ChiSquare analysis and interpret the findings based on the value of p. Notice for cells with expected count less than 5. State your conclusion regarding whether or not you have found support for H1.

1) Run frequencies on the age variable.

freq age.

2) Computer a new variable named newage in order not to "mess up" the existing variable age.

compute newage = age.

3) Tell SPSS that the value 99 is the code for missing data in the newage variable.

missing values newage (99).

4) Create a variable label for newage.

Variable labels newage 'Age by group'.

5) Run a frequencies command on the variable named newage.

freq newage.

6) Identify the break where cumulative percent is around 50 percent. For purposes of illustration I am going to say that the break is between 35 and 36 years of age.

7) Recode newage so as to create two age groups.

recode newage (18 thru 35 = 1) (35 thru 90 = 2).

8) Create value labels for newage.

value labels newage 1 '18 to 35' 2 '36 and older'.

9) Run a frequencies command on the variable named newage. Verify that you now have two age groups and that the variable label and value labels are correct.

freq newage.

You have now done what is necessary to create your new INDEPENDENT variable named newage. You now need to work on the dependent variable.

10) Compute a new variable named newwouldmove.

compute newwouldmove = wouldmove.

11) Tell SPSS that the missing value code for newwouldmove is 99.

missing values newwouldmove (99).

12) Run a frequencies command on newwouldmove. Notice that the code values probably range from 1 to 5 because this is a Likert-type variable with five options of response.

frequencies newwouldmove.

13) Now, reduce the number of answers to three values so that all the "disagree" responses are together, the undecided are still together, and all the agree responses are together.

recode newwouldmove (1=2) (2=1) (3=2) (4=3) (5=3).

14) Run frequencies on newwouldmove to see that you now have a range of values from 1 to 3 rather than from 1 to 5.

15) Give newwouldmove a variable label.

variable labels newwouldmove 'Willing to move'.

16) Give newwouldmove value labels.

value labels newwouldmove 1 'Disagree' 2 'Undecided' 3 'Agree'.

17) Run frequencies on newwouldmove to see that everything looks right.

18) Now, run a crosstabs command to test the hypothesis.

crosstabs tables=newwouldmove by newage/cells=count column/stat=chisq.

19) View and interpret the output. Ascertain whether or not the p value is less than .05. Notice if you have cells with expected counts less than 5. Do you have support for the hypothesis? Why or why not.

20) Use copy and paste functionality in Windows to paste the two parts of the output into a Word document. Put your name on the word document and send it to me as an e-mail attachment.