Choose 2 nominal; and 2 ordinal and 2 interval-ratio variables. Do three separate tables: one for each level of measurement.Below you will find the examples for each of the three types of variables. For the interval-ratio variables, in addition to the measures of central tendency, report the standard deviation. The standard deviation should be reported next to the mean, with the same precision (the same number of decimals) and in the same units as the mean ( years, hours, times etc.)

Table 1 Variables Measured at the Nominal Level

SPSS Variable name

Explain exactly what this variable measures

Level of Measurement

Most appropriate measure of central tendency

1. abany

The variableabanymeasures a respondent's opinion about whether or not a woman should be able to get a legal abortion if she wants it for any reason.

nominal

mode is "no" (2)

Statistics

ABORTION IF WOMAN WANTS FOR ANY REASON

N

Valid

904

Missing

553

Mode

2

ABORTION IF WOMAN WANTS FOR ANY REASON

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

YES

408

28.0

45.1

45.1

NO

496

34.0

54.9

100.0

Total

904

62.0

100.0

Missing

IAP

509

34.9

DK

32

2.2

NA

12

.8

Total

553

38.0

Total

1457

100.0

Table 2 Variables Measured at the Ordinal Level

SPSS Variable name

Explain exactly what this variable measures

Level of Measurement

Most appropriate measure of central tendency

1. Degree

Respondent's highest degree obtained

ordinal

medianis "high school" (1) (from the GSS 2012 code book)

Statistics

RS HIGHEST DEGREE

N

Valid

1457

Missing

0

Median

1.00

RS HIGHEST DEGREE

Frequency

Percent

Valid Percent

Cumulative Percent

Valid

LT HIGH SCHOOL

224

15.4

15.4

15.4

HIGH SCHOOL

692

47.5

47.5

62.9

JUNIOR COLLEGE

112

7.7

7.7

70.6

BACHELOR

277

19.0

19.0

89.6

GRADUATE

152

10.4

10.4

100.0

Total

1457

100.0

100.0

Table 3 Variables Measured at the Interval-Ratio Level

SPSS Variable name

Explain exactly what this variable measures

Level of Measurement

Most appropriate measure of central tendency

age

Respondent's age in years

interval-ratio

mean 48.21 years

First run the frequency table and let SPSS calculate the mean and the median for you. Since the difference between the mean and the medial is not big (see the Statistics table below 48.21- 47.00 = 1.21 years) it means that the distribution is not skewed and that the most appropriate measure of central tendency for the variable age is the mean.

Statistics

AGE OF RESPONDENT

N

Valid

1453

Missing

4

Mean

48.21

Median

47.00

Then run the Descriptive command for your variable explained at the very end of chapter 3 on p. 90 and in the Video file for chapter 3.You should get the following table:

Descriptive Statistics

N

Minimum

Maximum

Mean

Std. Deviation

AGE OF RESPONDENT

1453

18

89

48.21

17.789

Valid N (listwise)

1453

Step 3:Interpreting results

Your interpretations should be very concise. Interpret only what you see in the tables.

For variables measured at the interval-ratio level, in addition to what the book suggests, report the standard deviation. The standard deviation should be reported next to the mean, with the same precision as the mean (the same number of decimals) and in the same units as the mean.For example, you report that in the USA in 2012 people watch TV on average 3.70 hours a day with a standard deviation of 1.10 hours.

Choose 2 nominal; and 2 ordinal and 2 interval-ratio variables. Do three separate tables: one for each level of measurement. Below you will find the examples for each of the three types of variables. For the interval-ratio variables, in addition to the measures of central tendency, report the standard deviation. The standard deviation should be reported next to the mean, with the same precision (the same number of decimals) and in the same units as the mean ( years, hours, times etc.) Table 1 Variables Measured at the Nominal Level SPSS Explain exactly what Variable this variable measures name The variable abanymeasures a respondent's opinion about whether or not a woman should be able to get a legal abortion if she wants it for any reason. Statistics BORTION IF WOMAN ANTS FOR ANY EASON N Valid Missing eve] of Most easurementappropriate nominal measure of central tendency mode is "no" (2) 20:20 3 Statistics ABORTION IF WOMAN WANTS FOR ANY REASON N Valid 904 Missing 553 Mode 2 ABORTION IF WOMAN WANTS FOR ANY REASON Valid Cumulative Frequency Percent Percent Percent Valid YES 408 28.0 45.1 45.1 NO 496 34.0 54.9 100.0 Total 904 62.0 100.0 Missing IAP 509 34.9 DK 32 2.2 NA 12 .8 Total 553 38.0 Total 1457 100.0 Table 2 Variables Measured at the Ordinal Level SPSS Variable Explain exactly what this Level of Most appropriate name variable measures Measurement measure of central tendency 1. Degree Respondent's highest degree ordinal median is "high obtained school" (1) (from the GSS 2012 code book) Statistics20:20 3 Table 2 Variables Measured at the Ordinal Level SPSS Variable Explain exactly what this Level of Most appropriate name variable measures Measurement measure of central tendency ordinal 1. Degree Respondent's highest degree median is "high obtained school" (1) (from the GSS 2012 code book) Statistics RS HIGHEST DEGREE N Valid 1457 Missing 0 Median 1.00 RS HIGHEST DEGREE Valid Cumulative Frequency Percent Percent Percent Valid LT HIGH SCHOOL 224 15.4 15.4 15.4 HIGH SCHOOL 692 47.5 47.5 62.9 JUNIOR COLLEGE 112 7.7 7.7 70.6 BACHELOR 277 19.0 19.0 89.6 GRADUATE 152 10.4 10.4 100.0 Total 1457 100.0 100.0 Table 3 Variables Measured at the Interval- Ratio Level SPSS Variable Explain exactly what this Level of Most name variable measures Measurement appropriate measure of central tendency age Respondent's age in years interval-ratio mean 48.21 years20:20 3 Total 1457 1 100.01 100.0 1 Table 3 Variables Measured at the Interval- Ratio Level SPSS Variable Explain exactly what this Level of Most name variable measures Measurement appropriate measure of central tendency age Respondent's age in years interval-ratio mean 48.21 years First run the frequency table and let SPSS calculate the mean and the median for you. Since the difference between the mean and the medial is not big (see the Statistics table below 48.21- 47.00 = 1.21 years) it means that the distribution is not skewed and that the most appropriate measure of central tendency for the variable age is the mean. Statistics AGE OF RESPONDENT N Valid 1453 Missing 4 Mean 48.21 Median 47.00 Then run the Descriptive command for your variable explained at the very end of chapter 3 on p. 90 and in the Video file for chapter 3. You should get the following table: Descriptive Statistics Std. N Minimum Maximum Mean Deviation AGE OF RESPONDENT 1453 18 89 48.21 17.789 Valid N (listwise) 145320:20 3 Statistics table below 48.21- 47.00 = 1.21 years) it means that the distribution is not skewed and that the most appropriate measure of central tendency for the variable age is the mean. Statistics AGE OF RESPONDENT N Valid 1453 Missing 4 Mean 48.21 Median 47.00 Then run the Descriptive command for your variable explained at the very end of chapter 3 on p. 90 and in the Video file for chapter 3. You should get the following table: Descriptive Statistics Std. N Minimum Maximum Mean Deviation AGE OF RESPONDENT 1453 18 89 48.21 17.789 Valid N (listwise) 1453 Step 3: Interpreting results Your interpretations should be very concise. Interpret only what you see in the tables. For variables measured at the interval-ratio level, in addition to what the book suggests, report the standard deviation. The standard deviation should be reported next to the mean, with the same precision as the mean (the same number of decimals) and in the same units as the mean. For example, you report that in the USA in 2012 people watch TV on average 3.70 hours a day with a standard deviation of 1.10 hours