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 SPSS WORKSHOP 

 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

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 SPSS WORKSHOP 

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  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. Laptops • You can move the laptop to where ever you want to sit. • If the laptop gives you a warning that the battery is running low, we have extra laptops you can switch with. • If the laptops are not frequently used then they will go to sleep. So please move your mouse every few minutes. • If the laptops happen to fall asleep (or shut down), • please push the power button, which is located at top left hand corner of your keyboard. • Then you will have to retype in the password. • There is a sign in sheet going around the room for the laptops. Each lap top has a unique identification number located behind the screen. Please put your name next to the laptop you are using

  3. Workshop IIData Analyses with SPSS Roger Berger Mathematical Sciences & Applied Computing Department Rico Rivera Heather Ohton Tommy Aguila Christopher Zambakari Statistics Laboratory http://www.west.asu.edu/StatLab

  4. Workshop II: Overview (p. 1) • Function of Stat Lab • Review of basic function of SPSS Data Editor • Complete survey and enter data • Brief review of how variables were edited in “variable view” • Transforming variables in SPSS • Create composite scores • Reverse scoring • Syntax • Keeping track of data manipulation and analyses • Syntax window • Repeat of descriptive statistics • Level of measurement • Summarizing distributions of variables • Central tendency and variability (dispersion) • Relational and inferential statistics • Relationships: cross tabulations and relationships • Inferential statistics (t-tests) • Stat Lab resources • Online resources: survey design • Our reference library

  5. Open up your internet Explorer http://www.west.asu.edu/StatLab • Click on Workshops • Click on Data used for SPSS Workshops • Click on Fin_Health_SWG693 • Please save it in your Desktop. • Close the internet browser.

  6. SPSS Accessibility (p. 3) • Network access • Technopolis (basement of library) • Desktop (hard drive) installed • Computer Classrooms • Stat Lab • Software versions can be purchased at the Bookstore • Student Edition: (SE) (has limitations). ~80.00 • Grad Pak: (has much more features) • ~215.00 • only graduate students can get it • Can download price list from: http://bookstore.asu.edu/computers/index.php

  7. Accessing the Statistic Laboratory • Location: CLCC 107 • Phone: (602) 543-6117 • Website: http://www.west.asu.edu/StatLab • Operating hours: See website • When using the lab, please sign in at the front counter

  8. Support for Statistics (p. 4) • Function of Stat Lab (also pp. 5-7) • 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

  9. Please fill out the survey (Remove the last page of your handout) • Response • Strongly Disagree • Disagree • Agree • Strongly Agree • Sex • Male • Female • Age • Response • Strongly Disagree = 1 • Disagree = 2 • Agree = 3 • Strongly Agree = 4 • Sex • Male = 1 • Female = 2 • Age Actual age in years • Having ID column will help you keep track of cases • What do the 1st five questions measure? • What do the 2nd five questions measure?

  10. Please launch SPSSthen Turn to Page 10 of Handout • 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) • Data View (top panel) • Columns: Variables (e.g., questions on survey) • Rows: Cases (e.g., survey) • Variable View (bottom panel) • How we edit the variables • Give variables their names, labels, etc

  11. Variable View • Click on Variable View • Tab (located lower left hand corner) • Pages 12 – 13 of your handout • Variable Name • Numeric • Width • Decimal • Variable Label • Value Label • Missing • Column • Align • Measure

  12. Variable View • Variable View • Tab (located lower left hand corner) • Pages 12 – 13 of your handout • Variable Name • Numeric • Width • Decimal • Variable Label • Value Label • Missing • Column • Align • Measure

  13. Open a new data file • Now we are going to open up a data set. • File > open > Data • Navigate to your desktop • Open up the data file that you downloaded from our website.

  14. Overview of Next Section of Workshop • Transforming Variables • Syntax File • Descriptive Statistics • Central Tendency • Dispersion (Variability) • Presentation of Data: tables & figures • Making inferences to a Population • Relationships and Statistical Tests • Cross-tabulations and Chi Square • Correlations • Independent Sample t-test • Other Useful information in packet

  15. Transforming Variable (p 14) • 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 > Recode > Into Different Variables • Computing a New Variable • Can create new variables that may be a function of pre-existing variables • Transform > Compute

  16. Financial Stability Composite Scale • Person A has extremely “low” financial Stability. • How you think he would answer questions f01 through f05? • SD A D SA? • However, person B owns a very profitable business. • How do you think she would answer items f01 through f05 ? • SD A D SA?

  17. Financial Stability Composite Scale

  18. Financial Stability Composite Scale

  19. Financial Stability Composite Scale

  20. Financial Stability Composite Scale

  21. Financial Stability Composite Scale

  22. Financial Stability Composite Scale

  23. Health Service Accessibility Composite Scale • What if person B also has high Health Service Accessibility ? • She has great medical benefits and can get free services from her sister’s medical practice • How do you think she would answer the Access to Health Service questions?

  24. Health Service Accessibility Composite Scale

  25. Health Service AccessibilityComposite Scale

  26. Health Service AccessibilityComposite Scale

  27. Reverse Scoring • What is the reverse scores for h10? revh10 h10 • 1 2 • 3 • 4 •  •  •  • 4 3 • 2 • 1

  28. Look at the SPSS in data view • Why is the variable called “revh10”? • Reverse of h10 • "cannot get the medicines I need" with scoring reversed. • What is the variable “finance”? • Finance Composite: f01+f02+f03+f04+f05 • Construct: “Financial Stability” • What is the variable “health”? • Heath Composite: h06 + h07 + h08 + h09 + revh10 • Construct: “Accessibility to Health Services”

  29. Lets Create a Composite Score • Make sure that you are in “data view” tab • Click on Transform > Compute

  30. Overview Analyzing Data & Creating Graphs • Level of Measurement • Descriptive Analysis • Presentation of Data • Central Tendency & Variability

  31. What are the Levels of Measurement? (p. 16) Ratio (e.g.., sex, ethnicity, agency, location): • Different Categories • numerical values just "name" the attribute uniquely • NOT Rankable • We don't assume that higher values mean "more" of something and lower numbers signify "less". (e.g., income, weights, volumes, capacities, rates): • Different categories • Rankable categories • Constant equal-sized Intervals • Absolute Zero (physical significance) (e.g., temperature in Kelvin, time) • construct a meaningful fraction (or ratio) with a ratio variable Interval (temperature on Celsius and Fahrenheit): • Different categories • Rankable categories • Constant equal-sized Intervals • can be expressed numerically • the distance between attributes does have meaning Ordinal (e.g.., education attainment, class status): • Different Categories • Categories are rankable: (attributes can be rank-ordered) • Intervals are NOT equal-sized • But is distance from 0 to 1 same as 3 to 4? • Distances between attributes do not have any meaning. • We don't assume the value of 2 means that sophomores are twice something than freshman are. Nominal

  32. Descriptive Statistics • Presentation of entire distribution • Frequency Distribution: organized tabulation of the number (or percentage) of individuals in each category on the scale of measurement • Can be presented in a table or in a graph • Measures of Central Tendency • Identifies a single score that represents an entire data set • Best example of average or most typical score • Measures of Variability (Dispersion) • Provides a description of how spread out the scores are in a distribution • Provides a measure of how accurately a single score selected from a distribution represents the entire set

  33. Presentation of entire distribution of a variable

  34. Central Tendency and Dispersion

  35. Back to SPSS • Create table frequency & a chart • Create measures of central tendency • Create measures of dispersion

  36. How can we summarize the distribution of the below variable? Gender • Male • Female What is the level of measurement? (see page 16, 1st slide) Nominal Should we use a bar graph or a histogram? (see page 16, 2nd slide) Bar Graph

  37. Presentation of an Nominal Variable • Click Analyze > click Descriptive Statistics > then click Frequencies. • You should see a dialog box called Frequencies. • On the left side you should see a list of variables and on the right you should see a Variable(s) box. • In the variable list (left side) look for a variable either called “Gender” or sex. • Select this variable by clicking on it, then click ►to place the variable in the Variable(s) box. • Make sure that there is a check marknext to Display frequency tables. • Click Charts. • You will see a dialog box called Frequencies: Charts • Click Bar Charts. Click Continue. • Click OK.

  38. Dialogue box called Frequencies

  39. Frequency and Percentage Distribution of Gender (N=96)* *Missing Cases = 2

  40. We want to know the central tendency for the below variables. (p 18) • Age of respondent 18 – 89. Actual age in years What is the level of measurement? Which measure of central tendency should we use? (see page 16, 3rd slide)

  41. Central Tendency & Variability for Interval & Ratio Variable • Click Analyze > click Descriptive Statistics > then click Descriptive. • You will see a dialog box called Descriptives. • Select the variable • one is called “AGE”. • Click Options. You will see a dialog box called Descriptives: Options • By default Mean,Std Deviation, Minimum, & Maximum should be selected • click Continue. • Click OK.

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