Exploratory Data Analysis In SPSS Chapter

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¶ … SPSS How did you treat missing or oddly coded data, and outliers?

The SPSS function for Missing Data was used to identify any outliers or oddly coded data. The percent of missing data is high at 47.2% or 1063 potential responses to the question. The number of extremes or outliers in the high range is 220. Because the numbers are high, it would be useful to look at the raw data to determine how these answers were coded. This question is an interesting one and the pattern of responses suggests that additional analysis with this variable could reveal relationships with other factors.

What did you visually observe about your variables?

Responses to some of the questions are clustered for a number of the survey respondents. That is to say that there appear to be some respondents in the sample who are very active users of their cell phones and other respondents who barely use their cell phones.

What were the results of testing for normality for scale (interval or ratio) variables?

The Kolmogorov-Smirnov test for normality was used because of the size of N, although both Shapiro-Wilk and Kolmogorov-Smirnov statistics are shown in the data table. The p-value is

Weight

one>

Split File

one>

N of Rows in Working Data File

Missing Value Handling

Definition of Missing

User defined missing values are treated as missing.

Cases Used

All non-missing data are used.

Syntax

DESCRIPTIVES VARIABLES=q20

/STATISTICS=MEAN SUM STDDEV VARIANCE RANGE MIN MAX SEMEAN KURTOSIS SKEWNESS.

Resources

Processor Time

00:00:00.02

Elapsed Time

00:00:00.00

[DataSet1] / Users/Downloads/171243_May_2010_Cell_Phones.sav

Descriptive Statistics

N

Range

Minimum

Maximum

Sum

Mean

Std. Deviation

Statistic

Statistic

Statistic

Statistic

Statistic

Statistic

Std. Error

Statistic

Q20. On an average day, about how many text messages do you send and receive on your cell phone?

0

72991

61.39

5.330

Valid N (listwise)

Descriptive Statistics

Variance

Skewness

Kurtosis

Statistic

Statistic

Std. Error

Statistic

Std. Error

Q20. On an average day, about how many text messages do you send and receive on your cell phone?

33773.093

4.280

.071

18.173

.142

Valid N (listwise)

...

Deviation
Statistic

Statistic

Statistic

Statistic

Statistic

Statistic

Std. Error

Statistic

Q20. On an average day, about how many text messages do you send and receive on your cell phone?

0

72991

61.39

5.330

Valid N (listwise)

Descriptive Statistics

Variance

Skewness

Kurtosis

Statistic

Statistic

Std. Error

Statistic

Std. Error

Q20. On an average day, about how many text messages do you send and receive on your cell phone?

33773.093

4.280

.071

18.173

.142

Valid N (listwise)

MVA VARIABLES=q20

/LISTWISE.

MVA

Notes

Output Created

07-AUG-2015 10:26:38

Comments

Input

Data

/Users/gigi/Downloads/171243_May_2010_Cell_Phones.sav

Active Dataset

DataSet1

Filter

one>

Weight

one>

Split File

one>

N of Rows in Working Data File

Syntax

MVA VARIABLES=q20

/LISTWISE.

Resources

Processor Time

00:00:00.03

Elapsed Time

00:00:00.00

Univariate Statistics

N

Mean

Std. Deviation

Missing

No. Of Extremesa

Count

Percent

Low

High

q20

61.39

47.2

0

a. Number of cases outside the range (Q1-1.5*IQR, Q3 + 1.5*IQR).

Summary of Estimated Means

q20

Listwise

61.39

All Values

61.39

Summary of Estimated Standard Deviations

q20

Listwise

All Values

Listwise Statistics

Listwise Means

Number of cases q20

61.39

Listwise Covariances

q20

q20

33773.093

Listwise…

Sources Used in Documents:

Resources

Processor Time

00:00:00.91

Elapsed Time

00:00:01.00


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