psc 47410: data analysis workshop what’s the purpose of this exercise? the workshop’s research...
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PSC 47410: Data Analysis Workshop
What’s the purpose of this exercise? The workshop’s research questions:
Who supports war in America? How consistent is support for conflict across different types of war? Should we be considering other, related questions? If this project were to be
expanded, what could else we look at… how different groups change their support over time, support for other types of conflict, varying patterns in other societies
Will you want to do your research paper on work that builds on this workshop? You research paper assignment will ask you to either do a more complex paper on
public opinion and war or to test the power of various causes of war to explain the outbreak of a conflict not considered in our class readings
How would a research paper using Pew data be different than this assignment with respect to its literature review and what methods you would need to use?
PSC 4000-level Stats Workshop
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Where Do You Get Survey Data?
Why are we looking at survey data from the Pew Foundation? How do we download a dataset from Pew?http://people-press.org/category/datasets/?download=20034647
Why do we have to read the methodology sheet first (it’s boring, but critical)? What do we do with the questionnaire?
How does scientific method work?: In theory and in the real world Can we operationalize our dependent variable(s)? Are there some
questions that we can use to identify who supports war? Do we have the independent variable(s) we need? Are there any questions
that identify characteristics (e.g., gender) that we expect to be correlated with whether a person supports war?
What specific hypotheses can we explore with our survey? What specific relationships do we expect to find between our independent and dependent variables?
PSC 4000-level Stats Workshop
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What Do You Need to Turn In?
Your assignment has two components: The first asks you to complete several data assignments The second is an 1000-word analytical essay
The assignments related to SPSS ask you to: Recode and label both new variables and their response categories You will be asked to create dummy (1-0 value) variables. For example, you can use a
question asking about religion to create a new variable called “Catholic,” where all Catholic respondents are coded 1 and all other respondents are coded zero
Calculate descriptive statistics Mean (the average value of the response categories) Median (the middle value for all of your observations) Mode (the most common response if there’s no natural order to variable’s
response categories) Generate a bar graph Do a little bivariate data analysis using SPSS’s cross-tab routine
PSC 4000-level Stats Workshop
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Getting Started with SPSS
Open your dataset with SPSS
Open a new syntax file
What are the four SPSS screens you will be working with? Data editor: Data view Data editor: Variable view The syntax file (Why is it WAY better than just pointing and
clicking all of the time? Why is this the ONLY file that you will want to save in most cases? )
The output file
PSC 4000-level Stats Workshop
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Recoding Data in SPSS
Why do we need to recode? Need to drop refusals (but we want to be careful to think about what “don’t know
means… e.g. if someone doesn’t know that she’s a born-again Christian, she’s not one) Variables may not measure constructs correctly, so we need to create different
categories that make sense We’ll want to create dummy (0-1) variables
How do we recode? Use the point and click menus at the top of the data editor Use the “Recode Into Different Variable” option Select variable you want to recode Tell SPSS how you want to recode the variable
Name and label the new variable Define values
Do not hit OK; instead, you want to paste command into syntax Highlight the appropriate syntax and click the run (arrow) button
PSC 4000-level Stats Workshop
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Recoding Data: Step by Step Illustration
PSC 4000-level Stats Workshop
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Recoding Data: Step by Step Illustration
PSC 4000-level Stats Workshop
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Recoding Data: Step by Step Illustration
PSC 4000-level Stats Workshop
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Recoding Data: Step by Step Illustration
PSC 4000-level Stats Workshop
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Recoding Data: Step by Step Illustration
PSC 4000-level Stats Workshop
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Recoding Data: Step by Step Illustration
PSC 4000-level Stats Workshop
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Labeling Values in SPSS
Why do we need to label the values used for different response categories (e.g., 1=male, 0=woman)? You may not remember how you recoded values Labels will transfer into tables and graphs
How do we label values for our variable categories? Use “Define Variable Properties” option Select variable(s) with values you want to label Tell SPSS how you want to label the values Paste command into syntax Highlight syntax and click run Once you’ve got the syntax down, you may want to work much more quickly
with other variables by copying and pasting that syntax and making appropriate substitutions
PSC 4000-level Stats Workshop
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Creating Value Labels for Response Categories:
Step by Step Illustration
PSC 4000-level Stats Workshop
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Creating Value Labels for Response Categories:
Step by Step Illustration
PSC 4000-level Stats Workshop
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Creating Value Labels for Response Categories:
Step by Step Illustration
PSC 4000-level Stats Workshop
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Creating Value Labels for Response Categories:
Step by Step Illustration
PSC 4000-level Stats Workshop
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Creating Value Labels for Response Categories:
Step by Step Illustration
PSC 4000-level Stats Workshop
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Descriptive Statistics in SPSS
What descriptive statistics may interest us? Frequencies Mean (the average), Medians (the middle observation), and Mode (rarely
used)
How do we compute descriptive statistics? Use “Descriptive Statistics” option Select “Frequencies” Select variable(s) that you want to analyze Select “Statistics” Select the statistics you want to view Option 1 (if you will need the results later): click the paste command to create
syntax; highlight the syntax and click run Option 2 (if you are using the results right now): click OK and the syntax won’t
be pasted into your syntax file, but the output will be created
PSC 4000-level Stats Workshop
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Descriptive Statistics: Step by Step Illustration
PSC 4000-level Stats Workshop
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Descriptive Statistics
PSC 4000-level Stats Workshop
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Descriptive Statistics: Step by Step Illustration
PSC 4000-level Stats Workshop
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Descriptive Statistics: Step by Step Illustration
PSC 4000-level Stats Workshop
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Descriptive Statistics: Step by Step Illustration
PSC 4000-level Stats Workshop
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Descriptive Statistics: Step by Step Illustration
PSC 4000-level Stats Workshop
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Descriptive Statistics: Step by Step Illustration
PSC 4000-level Stats Workshop
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Graphing in SPSS
What kinds of graphs might we create? Bar Line Histogram
How do we compute descriptive statistics? Use “Descriptive Statistics” option Select “Frequencies” Select variable(s) that you want to analyze Select “Charts” Select the charts you want to view; check the “percentage” option in most
cases so that your charts will be more readable Paste command into syntax Highlight syntax and click run
PSC 4000-level Stats Workshop
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Creating Graphs
PSC 4000-level Stats Workshop
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Creating Graphs
PSC 4000-level Stats Workshop
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Creating Graphs
PSC 4000-level Stats Workshop
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Creating Graphs
PSC 4000-level Stats Workshop
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Creating Graphs
PSC 4000-level Stats Workshop
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Creating Graphs
PSC 4000-level Stats Workshop
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Creating Graphs
PSC 4000-level Stats Workshop
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Bivariate Analysis in SPSS
What types of bivariate analysis might we conduct? Correlation Crosstabs (this is your best option for tables that will make
sense to a general audience) Significance tests
How do we conduct bivariate analysis? Use options in the “Analyze” menu Select variable(s) that you want analyze Tell SPSS how you want to analyze the values Paste command into syntax Highlight syntax and click run
PSC 4000-level Stats Workshop
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Calculating Correlation
PSC 4000-level Stats Workshop
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Calculating Correlation
PSC 4000-level Stats Workshop
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Calculating Correlation
PSC 4000-level Stats Workshop
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Calculating Correlation
PSC 4000-level Stats Workshop
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Calculating Correlation
PSC 4000-level Stats Workshop
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Guidelines for Correlation
Less than .1: Very weak relationship
.1 to .2: Weak relationship
.2 to .3: Moderate relationship
Above .4: Strong relationship
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Review: Variable Types
Categorical Represent categories or names (e.g. gender, religion)
Ordinal Rank ordered indicators (e.g. agree, strongly agree)
Interval Ordered values where all unit increases are roughly
equivalent (e.g. age)
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Calculating Significance
Crosstabs will allow you to see relationships between two variables in more detail Put dependent variable in the rows Put independent variable in the columns
Can also test association: Categorical/categorical: Lambda, Cramer’s V Categorical/ordinal: Cramer’s V Ordinal/ordinal: Gamma, Tau-B (same number of categories) Categorical/Interval: Eta Ordinal/Interval: Spearman’s Rho Interval/Interval: Pearson’s R
PSC 4000-level Stats Workshop
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Crosstabs and Tests of Significance
PSC 4000-level Stats Workshop
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Crosstabs and Tests of Significance
PSC 4000-level Stats Workshop
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Crosstabs and Tests of Significance
PSC 4000-level Stats Workshop
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Crosstabs and Tests of Significance
PSC 4000-level Stats Workshop
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Crosstabs and Tests of Significance
PSC 4000-level Stats Workshop
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Crosstabs and Tests of Significance
PSC 4000-level Stats Workshop
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Crosstabs and Tests of Significance
PSC 4000-level Stats Workshop
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Crosstabs and Tests of Significance
PSC 4000-level Stats Workshop