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Using IBM SPSS for Data Management and Analysis, Slides of Social Sciences

University for the Creative Arts (UCA)Social Sciences

An overview of IBM SPSS, a data management and analysis product for statistical data analysis. It covers the Base System module, additional modules, starting SPSS, getting help, opening data files from Excel, and creating descriptions of data using various descriptive tools afforded by SPSS. The document also explains frequency distributions, descriptive statistics, and measures of central tendency and variability.

What you will learn

  • What are frequency distributions and descriptive statistics in IBM SPSS?
  • How do you calculate measures of central tendency and variability in IBM SPSS?
  • What is IBM SPSS and what are its features?
  • How do you start IBM SPSS and open data files?

Typology: Slides

2021/2022

Uploaded on 09/27/2022

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Overview
IBM SPSS (Statistical Package for the Social Sciences) is a data management and analysis
product produced by IBM SPSS, Inc. in Chicago, Illinois. Among its features are modules for
statistical data analysis, including descriptive statistics such as plots, frequencies, charts, and
lists, as well as sophisticated inferential and multivariate statistical procedures like analysis of
variance (ANOVA), factor analysis, cluster analysis, and categorical data analysis. SPSS is
particularly well-suited to survey research, though by no means is it limited to just this topic of
exploration.
SPSS is a modular product. That is, it requires the Base System module to run, but you may wish
to use other modules to carry out specific analyses not supported by the Base product. The
current version is 20.0 Lehman College has a site license for a much earlier version which is
serviceable and has all the features you might need to handle your data.
Many of the features we will use in this beginner session are intended to introduce you to some
common sense data manipulation. These include:
Starting SPSS
Entering small sets of data directly into SPSS
Importing larger sets of data from Excel spreadsheets into SPSS
Using SPSS to create descriptions of your data (frequencies, descriptions, central tendency,
variability, correlations)
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Partial preview of the text

Download Using IBM SPSS for Data Management and Analysis and more Slides Social Sciences in PDF only on Docsity!

Overview

IBM SPSS (Statistical Package for the Social Sciences) is a data management and analysis

product produced by IBM SPSS, Inc. in Chicago, Illinois. Among its features are modules for

statistical data analysis, including descriptive statistics such as plots, frequencies, charts, and

lists, as well as sophisticated inferential and multivariate statistical procedures like analysis of

variance (ANOVA), factor analysis, cluster analysis, and categorical data analysis. SPSS is

particularly well-suited to survey research, though by no means is it limited to just this topic of

exploration.

SPSS is a modular product. That is, it requires the Base System module to run, but you may wish

to use other modules to carry out specific analyses not supported by the Base product. The

current version is 20.0 Lehman College has a site license for a much earlier version which is

serviceable and has all the features you might need to handle your data.

Many of the features we will use in this beginner session are intended to introduce you to some

common sense data manipulation. These include:

Starting SPSS

Entering small sets of data directly into SPSS

Importing larger sets of data from Excel spreadsheets into SPSS

Using SPSS to create descriptions of your data (frequencies, descriptions, central tendency,

variability, correlations)

Starting SPSS

Click the Start button, Programs , the relevant software group, SPSS, and click on the SPSS icon.

The initial SPSS screen should appear, showing the Data Editor window, with the Data View window

on top, and a tab at the foot of the screen giving access to the Variable View window. This is

superimposed by a smaller window headed SPSS for Windows which you can temporarily discard by

clicking on the Cancel button. You can switch between Data View and Variable View by clicking the

appropriate tab.

Getting help

You can obtain help on SPSS at any time during your SPSS session. Features such as being able to

search for specific topics are included. To access the online help system, click on the Help menu

and Topics to display the following window:

§ Select file, open, data which will bring you to this screen

The Data View window will contain the following data:

You can switch between variable view and data view by clicking on the tabs.

I have adjusted the width of the variables in the data view so that all columns are in view by

dragging the cells that have the variable names to make them smaller and the variable widths to

We now need to label the variables and indicate the values.

The variable label can be the same as the variable name as the names are already explicit.

The values must be added in the values column using the numbers assigned and the names as in

the codes given below. (It is good to have a code book/sheet to remind you of the codes assigned

at the beginning of the development of the survey/database.)

Level 1=freshman; 2=sophomore; 3=junior; 4=senior

Sex 1= male; 2=female

Ethnic 1=AA/Black; 2 =Latino/Hispanic; 3 =White; 4=Asian; 5 = Other

Math 1=algebra; 2=geometry; 3= Math A; 4=Math B; 5=Integrated Algebra; 6=pre-calculus

Mgrade as shown

Data:

Transform:

Analyze

Using SPSS to create descriptions of your data

(Frequencies, Descriptions, Charts)

Under the Analyze Tab/Descriptive Statistics you will find: Frequencies, Descriptives, Explore,

Crosstabs and Ratio.

Frequencies

A frequency distribution is a summary of how often different scores occur within a sample of scores. For example, let’s suppose that you are collecting data on how many hours of sleep college students get each night. After conducting a survey of 30 of your classmates, you are left with the following set of scores: 7, 5, 8, 9, 4, 10, 7, 9, 9, 6, 5, 11, 6, 5, 9, 10, 8, 6, 9, 7, 9, 8, 4, 7, 8, 7, 6, 10, 4, 8

This enables you to select any or all variables by highlighting those you wish to plot and using

the arrow in the middle to move them to the right box for use. The program does not care if the

variables are nominal or scaled. It will do the same process for all.

After you have moved the variables of interest over you can also select statistics

For some of the variables (scaled) these are relevant for the nominal variables the statistics are

not relevant. So let’s not choose this now but choose Continue and go back to run the

frequencies.

The output is on the next several pages

Frequency Table class Frequency Percent Valid Percent Cumulative Percent Valid sophomore 48 33.1 33.1 33. junior 89 61.4 61.4 94. senior 8 5.5 5.5 100. Total 145 100.0 100. sex Frequency Percent Valid Percent Cumulative Percent Valid male 53 36.6 36.6 36. female 92 63.4 63.4 100. Total 145 100.0 100. ethnicity Frequency Percent Valid Percent Cumulative Percent Valid AA/Black 60 41.4 41.4 41. Latino/Hispanic 62 42.8 42.8 84. White 19 13.1 13.1 97. Asian 1 .7 .7 97. Other 3 2.1 2.1 100. Total 145 100.0 100. math Frequency Percent Valid Percent Cumulative Percent Valid algebra 2 1.4 1.4 1. geometry 44 30.3 30.6 31. Math A 2 1.4 1.4 33. Math B 48 33.1 33.3 66. Pre-calculus 42 29.0 29.2 95. 7 2 1.4 1.4 97. 9 4 2.8 2.8 100. Total 144 99.3 100. Missing System 1. Total 145 100.

Mgrade

Frequency Percent Valid Percent Cumulative science Frequency Percent Valid Percent Cumulative

  • Valid 45 1 .7 .7. Percent
    • 55 8 5.5 5.5 6.
    • 65 20 13.8 13.8 20.
    • 68 1 .7 .7 20.
    • 70 12 8.3 8.3 29.
    • 74 1 .7 .7 29.
    • 75 14 9.7 9.7 39.
    • 79 2 1.4 1.4 40.
    • 80 16 11.0 11.0 51.
    • 85 14 9.7 9.7 61.
    • 87 1 .7 .7 62.
    • 88 1 .7 .7 62.
    • 89 4 2.8 2.8 65.
    • 90 17 11.7 11.7 77.
    • 91 1 .7 .7 77.
    • 92 3 2.1 2.1 80.
    • 93 2 1.4 1.4 81.
    • 94 3 2.1 2.1 83.
    • 95 2 1.4 1.4 84.
    • 96 4 2.8 2.8 87.
    • 97 1 .7 .7 88.
    • 98 4 2.8 2.8 91.
    • 99 3 2.1 2.1 93.
    • 100 10 6.9 6.9 100.
    • Total 145 100.0 100.
  • Valid living environment 29 20.0 20.0 20. Percent
    • biology 47 32.4 32.4 52.
    • earth science 16 11.0 11.0 63.
    • Chemistry 52 35.9 35.9 99.
    • 5 1 .7 .7 100.
    • Total 145 100.0 100.