 SPSS WORKSHOP 

1.  SPSS WORKSHOP  Please Log onto Your Computer Station User Name: type in your user ID Password: type in your password Domain: ASUAD If you have trouble signing in: Then try signing in with westguest account User Name: westguest Password: asuwest Domain: (this computer) Sometime after today’s class, please go to technopolis (basement of library) to get your user ID fixed.

2. Brief Introduction to Statistics with SPSS Roger Berger Mathematical Sciences & Applied Computing Program Josh Fox Rico Rivera Statistics Laboratory http://www.west.asu.edu/StatLab

3. Workshop Overview • Workshop Objectives (p 1) • Understand Basic Organization of SPSS • How to input, save & retrieve raw data • How raw data file is edited in variable view • Perform goodness of fit: chi square • Table of Contents (p 2)

4. Open up your internet Explorer http://www.west.asu.edu/StatLab • Click on the Stat Lab button (located on left side) • Click on Workshops • Click on Data used for Workshops • Click on Res_Stat_LSC415.sav • Please save it in your Desktop. • Close the internet brower.

5. SPSS Accessibility (p. 3) • Network access • Technopolis (basement of library) • Desktop (hard drive) installed • Computer Classrooms • Stat Lab

6. Accessing the Statistic Laboratory(p. 3) • Location: CLCC 107 • Phone: (602) 543-6117 • Website: http://www.west.asu.edu/StatLab • Operating hours: See website (changes on a weekly basis) • When using the lab, students sign in at the front counter

7. Support for Statistics (p. 4) • Function of Stat Lab (also pp. 14-16) • The Stat Lab staff assists students with aspects of statistical software. • The Stat Lab is not set up to provide one-on-one tutorial service for students on a regular basis. • However, we have and frequently do answer general statistic questions. • Statistics Tutoring • Learning Enhancement Center • TRiO (SSS) program

8. Procedures for Data Analysis (p. 6) Data  StatPak  Output  Interpretation • Collect & organize data • Input & edit the data • Transform Variables [will not be covered] • Analyze data or create graphs • State results and interpret

9. Please fill out the Research & Statistical Attitude Survey(Remove the last page of your handout) • Response • Strongly Disagree • Disagree • Agree • Strongly Agree • Sex • Male • Female • Age • Under 25 • 25 – 40 • Over 40 • Response • Strongly Disagree = 1 • Disagree = 2 • Agree = 3 • Strongly Agree = 4 • Sex • Male = 1 • Female = 2 • Age • Under 25 = 1 • 25 – 40 = 2 • Over 40 = 3 • Having ID column will help you keep track of cases • What do the first 5 questions (items) measure? • What do items 6 through 10 measure?

10. Let’s Launch SPSS • Menu Bar • Data & Transform are used to manipulate the data in data editor (i.e., spread sheet) • Analyze and Graphs are used to create output • Tabs (bottom left hand corner of data editor, p. 7) • Data View • Columns: Variables (e.g., questions on survey) • Rows: Cases (e.g., survey) • Variable View • How we edit the variables • Give variables their names, labels, etc • Enter you survey into Data View

11. Editing the Raw Data • Variable View • Tab (located lower left hand corner) • Pages 10 – 11 of your handout

12. Goodness of Fit Test (p 18) • Dihybrid crosses (mating of parent plants that differ in two traits) • You cross two pea plants with the following traits: • Wrinkled & Green • Smooth & Yellow • Now self fertilize the resulting F1. • Record the frequencies of offspring in the F2 generation for each phenotype • Wrinkle & Green: 401 • Wrinkle & Yellow: 265 • Smooth & Green: 276 • Smooth & Yellow: 102 • Does crossing two dihybrids produced a modified Mendelian ratio: 9:3:3:1 • Does a frequencies match the expected counts?

13. In Variable View • 1st, type in the variables names • 2nd, type in the variable label

14. Value Labels • Set the value labels for seed variable

15. In Data View, we will enter the data

16. Entering values in data view

17. Enter values for seed

18. Enter the frequency • Enter the frequency counts

19. Weight Cases by Frequency

20. Weight Cases by Frequency

21. Weight Cases by Frequency

22. Computing a chi-square (χ2)

23. Calculating a χ2 • Move the variable seed (pea plant seed offspring) to the Text Variable List box • You click on variable seed and then click on the arrow button

24. Setting the Expected Values • Under subsection called “Expected Values,” choose values • Enter in the Mendelian ratio: 9:3:3:1 • Click OK

25. Portion of SPSS Output • Based on ratios you entered, SPSS used the sample size of 1044 to calculate the expected frequencies

26. Portion of SPSS Output • χ2 (df=3, n=1044) = 137.17

27. (supplemental information) • Statistical Functions: Table on pages 24-25 • Statistic • Function/description • SPSS procedures • Backing up your files to AFS space (p 28)

28. Thanks for Having Me as Your Guest Speaker We have to justify the Stat Lab conducting SPSS workshops. Could you please fill out the “SPSS workshop Evaluation” at last page of the workshop. If you could please write comments about what you like most of the workshop, what you have learned about the workshop, how we may be able to improve it. We would greatly appreciate it. Thank You

29. Thanks for Having Me as Your Guest Speaker Do keep the “Research and Statistics Attitude Survey” you filled out. Please turn in the “SPSS Workshop Evaluation” as you leave the room. Have a good day. 