SPSS FOR WINDOWS: THE BASICS - PowerPoint PPT Presentation

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SPSS FOR WINDOWS: THE BASICS

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University of Michigan-Flint. Overview: Weeks 1 - 5. Introducing SPSS ... Analyze Data. Run descriptives, frequencies, Run inferential statistics. Create graphs ... – PowerPoint PPT presentation

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Title: SPSS FOR WINDOWS: THE BASICS


1
SPSS FOR WINDOWS THE BASICS
  • Kimberly R. Barber, PhD
  • Director of Research / Genesys
  • Adjunct Faculty
  • University of Michigan-Flint

2
Overview Weeks 1 - 5
  • Introducing SPSS
  • Looking at Windows
  • Sources of Data
  • Defining Data
  • Summarizing Data
  • Modifying Data Values

3
Introduction to SPSS
  • Starting SPSS
  • Data management
  • Descriptive Analysis
  • Statistical Analysis
  • Summary displays (graphics)

4
Starting SPSS
  • Windows based
  • Point and click
  • Open program
  • Open file or
  • Create new file
  • Save file

5
Tool Bar
  • File
  • Edit
  • Data
  • Transform
  • Statistics
  • Graphs
  • Utilities
  • Help

6
File and Edit
  • Open
  • Data, output, other
  • Open database
  • New, edit, query
  • Save
  • Print
  • Recently used data
  • Recently used files
  • Undo / redo
  • Cut / copy / paste
  • Find
  • Variable, data point, name

7
Data
  • Insert variables
  • Insert cases
  • Sort cases
  • Transpose
  • Mean of variable for missing data
  • Restructure
  • Group of variables into cases
  • Merge files
  • Split file
  • Select cases
  • Conditional expression

8
LOS GENDER RACE AGE 12.00 1 1.0 51 12.00
0 1.0 51 12.00 1 0.0 45 9.00
0 1.0 64 5.00 1 0.0 69 Name
variable Type numeric, alpha, date Width
1,2..columns Decimal1,2..columns Labels value
labels Column cumulative place
9
Transform
  • Compute
  • Q1 Q2 New Q
  • Recode
  • Change maleM to male1
  • Reverse labels from 12 to 21
  • Categorize variables
  • Group age, weight, blood pressure
  • Replace missing values
  • Insert missing values with 999

10
Analyze
  • Descriptive statistics
  • Means, frequencies, cross-tabulations
  • Compare means
  • One sample, independent, paired, ANOVA
  • Correlations
  • Regressions
  • Linear, logistic, ordinal
  • Scale
  • Reliability analysis, multidimensional scaling
  • Non Parametric tests
  • Chi-square

11
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12
Graphs
  • Gallery
  • Main chart selection
  • Interactive
  • Bar charts, pie charts, line graphs, scatterplots
  • Cosmetics
  • 3-dimensional, color, shading

13
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14
Utilities and Help
  • Variable information
  • Definitions
  • Go to variable
  • Seeks and places cursor
  • Help contents
  • Index
  • Commands
  • Statistics coach

15
Class Goals
  • Create database in SPSS
  • Create variables, Define labels, transform
    variables
  • Manage database
  • Enter data, clean data, transpose
  • Analyze Data
  • Run descriptives, frequencies,
  • Run inferential statistics
  • Create graphs
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