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Clarence Gravlee, Instructor
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Class: Mon. and Wed., 9:00-12:00, 3/1371
Lab: Mon., 12:40-2:20, 2/2082


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Lab 1:  SPSS Navigation and Data Sets

Also available as PDF document (requires free Acrobat Reader)

Problems 1-4, p. 15-16 in Schutt Study Guide.  You may hand in the pages from the study guide or write your answers on a separate sheet.

3.  Start SPSS and load the data file RACE96, which is on the CD-ROM included with your textbook.  Find the variable AFFRMACT and record the numeric value for each of the cases listed below.  Then, using either the Variables window or the Value Labels tool, note the corresponding label for each value.

Value

Label

Respondent #83 ______________________ ______________________
Respondent #349 ______________________ ______________________
Respondent #773 ______________________ ______________________

4.  Now find the variable RACE.  What are the values and corresponding labels for each of the three respondents?

Value

Label

Respondent #83 ______________________ ______________________
Respondent #349 ______________________ ______________________
Respondent #773 ______________________ ______________________

5.  What were the questions used to elicit the responses for AFFRMACT and RACE?  Go to the GSS website and find the original wording of the questions for each variable.

AFFRMACT:
RACE:

6.  Create a new data set named WORLD and enter the data in the table below.  Save the data set to a 3.5" floppy disk, and hand in the disk with your name written on it.

COUNTRY

POPULATN

DENSITY

RELIGION

LIFEEXPF

LITERACY

GDP_CAP

REGION

Bosnia

4600

87.0

Muslim

78

86

3098

2

Cambodia

10000

55.0

Buddhist

52

35

260

3

El Salvador

5800

246.0

Catholic

69

73

1078

6

Gabon

1300

4.2

Catholic

58

61

4283

4

Liberia

2900

29.0

Animist

57

40

409

4

Nicaragua

4100

33.0

Catholic

67

57

447

6

Romania

23400

96.0

Orthodox

75

96

2702

2

Spain

39200

77.0

Catholic

81

95

13047

1

Uzbekistan

22600

50.0

Muslim

72

97

1350

5

Vietnam

73100

218.0

Buddhist

68

88

230

3

Use the following information to define each of the variables:

COUNTRY Label: Country
Type: String
Measurement Level: Nominal
POPULATN Label: Population in thousands
Type: Numeric
Measurement Level: Scale
DENSITY Label:  Number of people / sq. km
Type: Numeric
Measurement Level: Scale
RELIGION Label: Predominant religion
Type: String
Measurement Level: Nominal
LIFEEXPF Label: Average female life expectancy
Type: Numeric
Measurement Level: Scale
LITERACY Label: People who read (%)
Type: Numeric
Measurement Level: Scale
GDP_CAP Label: Gross domestic product / capita
Type: Numeric
Measurement Level: Scale
REGION Label: Region or economic group
Type: Numeric
Measurement Level: Nominal
Value Labels:
1  OECD
2  East Europe
3  Pacific/Asia
4  Africa
5  Middle East
6  Latin America

 

 
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updated 10.18.02