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 todays 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 Department
• Gaurav Jaju
• Melissa Wilson
• Statistics Laboratory

http//www.west.asu.edu/StatLab
3
Workshop Overview

• Workshop Objectives (p 1)
• Overview of Basic Organization of SPSS
• How to input raw data
• How raw data file is edited in variable view
• Perform basic data analyses
• Table of Contents (p 2)

4
Open up your internet Explorer

• http//www.west.asu.edu/StatLab
• Click on Workshops
• Click on Data Used for SPSS Workshops
• Click on Res_Stat_Edited_Data.sav
• Please save it in your Desktop.
• Please do not open the data file
• 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 [phone]
• Website http//www.west.asu.edu/StatLab
• Operating hours See website (changes on a weekly
  basis)
• When using the lab, please sign in at the front
  counter

7
Support for Statistics (p. 4)

• Function of Stat Lab
• 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 (bottom of p 4)
• Learning Enhancement Center
• TRiO (SSS) program

8
Overview of the Research Process
Page 5
DISCUSSION SECTION
Interpretation Were the hypotheses supported?
Why or why not? Any limitations? What are
the Implications? Suggestions for further
research?
RESULTS SECTION
Data Analysis Descriptive Statistics Inferential
Statistics
METHODS SECTION
Measures or Instruments Validity - What did we
measure? Reliability How precise was the
measure
METHODS SECTION
Participant Characteristics Who did you
sample? Procedures How did we do the
observations?
Also look at APA outline (pp 14-16)
AT THE END OF LITERATURE REVIEW OR INTRODUCTION
Based on theory literature review, what is
(are) the question(s) you want to address? What
are respondents attitude toward research and
statistics? Are attitudes toward research and
statistics related? Do males and females have
different attitudes? Do participants in
different age groups have different attitudes?
Statistics Lab CLCC 107 www.west.asu.edu/StatLab (
602) 543-6117
9
Steps in Producing Output

• Data ? StatPak ? Output ? Interpretation
• Collect Organize Data (p.7)
• Input Raw Data (7)
• Edit Raw Data in Variable View
• Transform Variables will not be covered
• Describe and Analyze the Data (11-13)
• State Results and Interpret

10
Please fill out the Research Statistics
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
• Favorite Ice Cream (string variable)
• 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?

11
Lets 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.
  6)
• 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

12
Editing the Raw Data

• Variable View
• Tab (located lower left hand corner)
• Pages 8 9 of your handout

13
Retrieving an Edited Data

• Save the data set to your desktop.
• Call it edited data your initials
• E.g., editeddataRR
• Now we are going to open up a new data set.
• File gt open gt Data
• Navigate to your desktop
• Open up the data file that you downloaded from
  our website.

14
Review of Workshop

• We inputted raw data (from the survey) into the
  data editor
• We edited a raw data file in variable view
• pp. 8 - 9
• We retrieved an edited file and perform some
  basic statistical analyses.

15
Transforming Variable (p 10)

• Recode
• Data may be need to be recoded for a variety of
  reasons
• Examples
• common for reversing the scales
• Converting a continuous variable into discrete
  ordinal variable
• Transform gt Recode gt Into Different Variables
• Computing a New Variable
• Can create new variables that may be a function
  of pre-existing variables
• Transform gt Compute

16
Other Resources(supplemental information)

• Table on pages 12-13
• Statistic
• Function/description
• SPSS procedures
• Backing up your files to AFS space (p 20)
• Resources in Stat Lab Reference Library
• APA manual
• Tables, Charts in APA
• How to create posters

17
Other Resources(supplemental information)

• Table on pages 12-13
• Statistic
• Function/description
• SPSS procedures
• Backing up your files to AFS space (p 19)
• Resources posted on our website
• Developing Questionnaires
• Oral Interview Guidelines

18
What are the Levels of Measurement?
(supplemental information p. 11)

• Ratio (e.g., lengths, weights, volumes,
  capacities, rates)
• Different categories
• Rankable categories
• Constant equal-sized Intervals
• Absolute Zero (physical significance) (e.g.,
  temperature in Kelvin, time)
• Interval (temperature on Celsius and Fahrenheit,
  age)
• Different categories
• Rankable categories
• Constant equal-sized Intervals (can be expressed
  numerically)
• Ordinal (e.g.., dominance hierarchy)
• Different Categories
• Categories are rankable
• Nominal (a.k.a. attributes)
• Different Categories (e.g.., sex, species,
  phylum, location)

19
Presentation of entire distribution of a variable
20
Central Tendency and Dispersion
21
Central Tendency and Dispersion (p 11)
22
Online Resources for Developing Questionnaires

• Visit http//www.west.asu.edu/statlab/
• Click on Resources
• Then click on
• Resources for Developing Questionnaires

23
Online Print Resources for Oral Interviews

• Visit http//www.west.asu.edu/statlab/
• Click on Resources
• Then click on
• Oral Interview Guidelines

24
Stat Lab Resources

• 12 PC computers, printer (free printing), and
  copier (limited use)
• Office supplies (stapler, 3-hole puncher, paper
  clips)
• Reference library (books can not leave the Stat
  Lab)
• Introductory text books on Statistics Research
  Methods
• Publication manual of the American Psychological
  Association
• Presenting your findings a practical guide for
  creating tables
• Displaying your findings a practical guide for
  creating figures, posters, and presentations
• Using SPSS for Windows Macintosh analyzing
  understanding data analyses (helpful in
  interpreting the results and writing it in APA
  format)

25
Thanks for having us as your guests ?

• We have to justify the Stat Lab conducting SPSS
  workshops.
• Could you please fill out the SPSS workshop
  Evaluation at last page of the packet.
• If would 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 will greatly appreciate it.
• Thank You,

26
Thanks for having us as your guests ?

• Do keep the Research and Statistics
  Attitude Survey you filled out.
• Please turn in the SPSS Workshop
  Evaluation. You can drop off this evaluation
  near the door.
• Please come and visit
• the Stat Lab (CLCC 107)

Have a good day. ?