Solution Manual for An IBM SPSS Companion to Political Analysis, 6th Edition, Philip H. Pollock III, Barry C. Edwards

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Solution Manual for An IBM SPSS Companion to Political Analysis

Solutions to Exercises in	Page
Getting Started (No exercises)	2
Chapter 1: Introduction to SPSS	3
Chapter 2: Descriptive Statistics	6
Chapter 3: Transforming Variables	20
Chapter 4: Making Comparisons	24
Chapter 5: Making Controlled Comparisons	37
Chapter 6: Making Inferences about Sample Means	48
Chapter 7: Chi-Square and Measures of Association	51
Chapter 8: Correlation and Linear Regression	57
Chapter 9: Dummy Variables and Interaction Effects	66
Chapter 10: Logistic Regression	74
Chapter 11: Doing Your Own Political Analysis	83

There are no exercises at end of the Getting Starting section.

Chapter 1: Introduction to SPSS

A. 26 $170,000 or over

B. 0 Never

Display names

Alphabetical

A. General Happiness

B. 1

General Happiness

		Frequency	Percentage	Valid percentage	Cumulative percentage
Valid	VERY HAPPY	869	30.3	30.4	30.4
	PRETTY HAPPY	1579	55.1	55.2	85.6
	NOT TOO HAPPY	411	14.3	14.4	100.0
	Total	2859	99.7	100.0
Missing	System	8	.3
Total		2867	100.0

B. Word-formatted table looks something like this:

General Happiness	Frequency	Percentage	Cumulative
Very Happy	869	30.4	30.4
Pretty Happy	1579	55.2	85.6
Not Too Happy	411	14.4	100.0
Total	2859	100.0

Syntax for solution

* with GSS dataset

FREQUENCIES VARIABLES=happy /ORDER=ANALYSIS.

SPSS file type	File name extension
Dataset	.sav
Output	.spv
Syntax	.sps

A. hs_yrs_ss

B. vep16_turnout

C. attend_pct

D. volunteer_percent

	NES variable “marital”
Numeric code	Value label
1	Married, spouse present
2	Married, spouse absent (volunteered)
3	Widowed
4	Divorced
5	Separated
6	Never married

Here are the variable descriptions in the Appendix. Students were asked to describe these variables in “their own words” so their wording should vary without changing the essential meaning.

A. Total fertility rate: Number children born per woman (CIA)

B. Percentage of population aged 15–49 with HIV. From World Economic Forum

C. Number infants dying before age one per 1,000 live births. From World Bank’s World

Development Indicators

D. Public expenditure on health as a percentage of GDP (UN)

E. Age-standardized death rates from non-communicable diseases per 100,000 people (UN)

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