Social impacts of using Internet among the adults

Wednesday, 15th Dec'10Wednesday, 15th Dec'10Social impacts of using Social impacts of using

Internet among the adults Internet among the adults

Social impacts of using Social impacts of using Internet among the adults Internet among the adults

Group Members:Group Members:1.1.Md. Habibur Rahman Md. Habibur Rahman BIT 02 16BIT 02 16

2.2.Md. Shahriar ShaonMd. Shahriar Shaon BIT 02 19BIT 02 19

3.3.Md. Mahmudul HasanMd. Mahmudul HasanBIT 02 23BIT 02 23

4.4.Md. Rayhan HossainMd. Rayhan Hossain BIT 02 26BIT 02 26

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Topics to be discussed:Topics to be discussed: What is SPSS?What is SPSS? About our topic About our topic About Variables About Variables Case Analysis and Interpretation Case Analysis and Interpretation ConclusionConclusion

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What is SPSS?What is SPSS?

SPSS (Statistical Package for the Social Science)SPSS (Statistical Package for the Social Science)

SPSSSPSS is a computer program used for statistical is a computer program used for statistical

analysisanalysis SPSS for windows is a computer package that will SPSS for windows is a computer package that will

perform a wide variety of statistical procedures.perform a wide variety of statistical procedures. Data management and analysis can be handled well Data management and analysis can be handled well

with SPSS.with SPSS. Using SPSS we can manipulate data, make graphs Using SPSS we can manipulate data, make graphs

and perform statistical techniques varying from and perform statistical techniques varying from means to regressionmeans to regression

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Working procedure for Analysis:Working procedure for Analysis:

Taking raw data

Summarizing the data

Presenting the data

Taking the data to SPSS format file

Analyzing the data

Getting output

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About our topic About our topic



GSSNET – Study of use of internet and its effects on adults

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Why this topicWhy this topic

--This is an era of internet & information This is an era of internet & information technologytechnology

--In order to have statistically analyzed data about In order to have statistically analyzed data about the use of internetthe use of internet

-In order to analyze the impacts for using -In order to analyze the impacts for using internet with different statistical test.internet with different statistical test.


Social impacts of using Social impacts of using Internet among the adults Internet among the adults 66 of 49 of 49

Variable Analysis Variable Analysis

AndAnd

InterpretationInterpretationWednesday, 15th Wednesday, 15th Dec'10Dec'10


Name of the variables and their Name of the variables and their typestypes

Variable Name Type

Age Quantitative

Age category Categorical

Sex Qualitative

Search engine name Categorical

Hours of TV Watching Quantitative

Usenet? Categorical

Happiness of marriage Qualitative

General happiness Qualitative

Respondents income Categorical

Marital status Categorical

Belief in post life Categorical

Vote in election in 1996 Categorical

Educational status Qualitative



UnivariateUnivariate

AnalysisAnalysis



Age of the Age of the respondents(age)respondents(age)



Statistics

Age of respondent1417

2

Valid

Missing

N

Case Processing Summary

Case Summaries

Age of respondent

1417 46.56 44.00 18 89 17.330 300.341N Mean Median Minimum Maximum Std. Deviation Variance

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Age categoriesAge categories( )agecat( )agecat



23.7%

14.9%

21.6%

21.9%

17.7%

.1%

60-89

50-59

40-49

30-39

18-29

Missing

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Respondent’s GenderRespondent’s Gender( )sex( )sex



56.2%

43.8%

Female

Male

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Educational levelEducational level( )degree( )degree



7.5%

16.6%

7.1%

51.1%

17.1%

.6%Graduate

Bachelor

Junior college

High school

Less than HS

Missing

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Internet Usage CategoryInternet Usage Category



Internet usage category

More than 10

4+ to 10 hours

1+ to 4 hours

One hour or less

Missing

Pe

rce

nt

60

50

40

30

20

10

0

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Uses Internet or not?Uses Internet or not?



46.1%

51.7%

2.2%

Yes

No

Missing

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Search Engines Search Engines NameName( 2)srch( 2)srch



5.8%

1.1%

1.2%

1.8%

16.2%

73.9%

Other

Excite

Altavista

Lycos

Yahoo

Missing

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Hours per day watching Hours per day watching TV?(tvhrs)TV?(tvhrs)



Statistics

Hours per day watching TV906

513

3.00

2.00

2

0

24

Valid

Missing

N

Mean

Median

Mode

Minimum

Maximum

Hours per day watching TV

25.022.520.017.515.012.510.07.55.02.50.0

500

400

300

200

100

0

Std. Dev = 2.56

Mean = 3.0

N = 906.00

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Respondent’s income for Respondent’s income for last year(rincome)last year(rincome)



45.9%

5.1%

7.3%

6.6%

5.1%

30.0%

Other

REFUSED

$40000 TO 49999

$30000 TO 34999

$25000 TO 29999

Missing

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Marital statusMarital status( )marital( )marital



25.4%

4.0%

16.2%

9.9%

44.5%

NEVER MARRIED

SEPARATED

DIVORCED

WIDOWED

MARRIED

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Belief in life after Belief in life after deathdeath( )postlife( )postlife



NO

YES

Missing

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Voted in 1996 or not?Voted in 1996 or not?( 96)vote( 96)vote



3.2%

6.5%

27.8%

62.5%

Other

INELIGIBLE

DID NOT VOTE

VOTED

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BivariateBivariate

AnalysesAnalyses



Any relationship between Any relationship between Age category and using Age category and using

netnetBoth the variables are Both the variables are

categorical. categorical.

Cross tabsCross tabs



Age category * Use Internet? Crosstabulation

Count

100 144 244

121 186 307

133 162 295

105 104 209

275 57 332

734 653 1387

18-29

30-39

40-49

50-59

60-89

Agecategory

Total

No Yes

Use Internet?

Total

Chi-Square Tests

163.524a 4 .000

175.744 4 .000

122.059 1 .000

1387

Pearson Chi-Square

Likelihood Ratio

Linear-by-LinearAssociation

N of Valid Cases

Value dfAsymp. Sig.

(2-sided)

0 cells (.0%) have expected count less than 5. Theminimum expected count is 98.40.

a.

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Any relationship between Any relationship between education and using education and using

internetinternet



Respondent's highest degree * Use Internet? Crosstabulation

Count

208 31 239

409 298 707

36 62 98

53 181 234

24 78 102

730 650 1380

Less than HS

High school

Junior college

Bachelor

Graduate

Respondent'shighestdegree

Total

No Yes

Use Internet?

Total

Chi-Square Tests

250.217a 4 .000

270.848 4 .000

228.190 1 .000

1380

Pearson Chi-Square

Likelihood Ratio


N of Valid Cases

Value dfAsymp. Sig.

(2-sided)


a.

Both the variables are categorical.

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Pearson’s Chi square test’s p-value is less Pearson’s Chi square test’s p-value is less than level of significance(0.025). So there than level of significance(0.025). So there exists significant relationship between exists significant relationship between them. them.



Relationship between Relationship between Gender and using netGender and using net

Both the variables are categorical. Both the variables are categorical.

Crosstabs-Crosstabs-



Respondent's sex * Use Internet? Crosstabulation

Count

303 306 609

431 348 779

734 654 1388

Male

Female

Respondent'ssex

Total

No Yes

Use Internet?

Total

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(Continued)(Continued)



Chi-Square Tests

4.261b 1 .039

4.041 1 .044

4.261 1 .039

.040 .022

4.258 1 .039

1388

Pearson Chi-Square

Continuity Correctiona

Likelihood Ratio

Fisher's Exact Test


N of Valid Cases

Value dfAsymp. Sig.

(2-sided)Exact Sig.(2-sided)

Exact Sig.(1-sided)

Computed only for a 2x2 tablea.

0 cells (.0%) have expected count less than 5. The minimum expected count is286.95.

b.

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Logistic regression analysisLogistic regression analysis

We decide- the usage of internet among the male is .8 times We decide- the usage of internet among the male is .8 times than the female.than the female.



Variables in the Equation

-.224 .108 4.257 1 .039 .800

.010 .081 .015 1 .903 1.010

SEX(1)

Constant

Step1

a

B S.E. Wald df Sig. Exp(B)

Variable(s) entered on step 1: SEX.a.

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Marital status vs. using Marital status vs. using internetinternet

Both the variables Both the variables are categorical.are categorical.



MARITAL STATUS * Use Internet? Crosstabulation

Count

303 316 619

116 20 136

112 112 224

42 15 57

161 191 352

734 654 1388

MARRIED

WIDOWED

DIVORCED

SEPARATED

NEVER MARRIED

MARITALSTATUS

Total

No Yes

Use Internet?

Total

Chi-Square Tests

79.036a 4 .000

86.492 4 .000

1.206 1 .272

1388

Pearson Chi-Square

Likelihood Ratio


N of Valid Cases

Value dfAsymp. Sig.

(2-sided)


a.

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we decide- the internet use of unmarried guys we decide- the internet use of unmarried guys are 33% more than the married. are 33% more than the married.


.285 .108 6.920 1 .009 1.330

-.243 .073 11.192 1 .001 .784

MARRIED(1)

Constant

Step1

a


Variable(s) entered on step 1: MARRIED.a.

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Age category vs. net usage Age category vs. net usage categorycategory



Chi-Square Tests

21.787a 12 .040

22.024 12 .037

.040 1 .842

648

Pearson Chi-Square

Likelihood Ratio


N of Valid Cases

Value dfAsymp. Sig.

(2-sided)


a.

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Pearson’s Chi square test’s p-value is Pearson’s Chi square test’s p-value is more than level of significance(0.025). So more than level of significance(0.025). So there exists no significant relationship there exists no significant relationship between them. between them.



Respondent’s highest Respondent’s highest degree vs. net usage degree vs. net usage

categorycategory



Chi-Square Tests

22.208a 12 .035

22.681 12 .031

10.566 1 .001

645

Pearson Chi-Square

Likelihood Ratio


N of Valid Cases

Value dfAsymp. Sig.

(2-sided)

1 cells (5.0%) have expected count less than 5. Theminimum expected count is 4.95.

a.

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Sex vs. net usage categorySex vs. net usage category



Chi-Square Tests

8.716a 3 .033

8.720 3 .033

2.870 1 .090

649

Pearson Chi-Square

Likelihood Ratio


N of Valid Cases

Value dfAsymp. Sig.

(2-sided)


a.

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Using net vs. happiness of Using net vs. happiness of marriagemarriage



Chi-Square Tests

7.055a 2 .029

7.068 2 .029

5.926 1 .015

612

Pearson Chi-Square

Likelihood Ratio


N of Valid Cases

Value dfAsymp. Sig.

(2-sided)


a.

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Using net vs. happiness of Using net vs. happiness of life life



Chi-Square Tests

28.707a 2 .000

29.898 2 .000

14.668 1 .000

1360

Pearson Chi-Square

Likelihood Ratio


N of Valid Cases

Value dfAsymp. Sig.

(2-sided)


a.

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Pearson’s Chi square test’s p-value is less Pearson’s Chi square test’s p-value is less than level of significance(0.025). So there than level of significance(0.025). So there exists significant relationship between exists significant relationship between them. them.






We get the life of not net user is 18% We get the life of not net user is 18% happier than the net users.happier than the net users.


.167 .116 2.075 1 .150 1.182

-.881 .081 118.066 1 .000 .414

USENET(1)

Constant

Step1

a


Variable(s) entered on step 1: USENET.a.

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Using net vs. belief in life Using net vs. belief in life after deathafter death



Chi-Square Tests

1.800b 1 .180

1.560 1 .212

1.808 1 .179

.196 .106

1.798 1 .180

815

Pearson Chi-Square

Continuity Correctiona

Likelihood Ratio

Fisher's Exact Test


N of Valid Cases

Value dfAsymp. Sig.

(2-sided)Exact Sig.(2-sided)

Exact Sig.(1-sided)

Computed only for a 2x2 tablea.

0 cells (.0%) have expected count less than 5. The minimum expected count is67.25.

b.

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Using net vs. voted in Using net vs. voted in election in 1996election in 1996



Chi-Square Tests

35.044a 3 .000

35.495 3 .000

11.538 1 .001

1348

Pearson Chi-Square

Likelihood Ratio


N of Valid Cases

Value dfAsymp. Sig.

(2-sided)

2 cells (25.0%) have expected count less than 5. Theminimum expected count is 1.43.

a.

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We decide- those who don’t use net vote We decide- those who don’t use net vote 85% more than the net user85% more than the net user


.617 .113 29.792 1 .000 1.854

.224 .074 9.122 1 .003 1.252

USENET(1)

Constant

Step1

a


Variable(s) entered on step 1: USENET.a.

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Using internet vs. TV Using internet vs. TV watching hours per day watching hours per day



Independent Samples Test

20.261 .000 6.455 884 .000 1.09 .169 .760 1.424

6.569 870.228 .000 1.09 .166 .766 1.418

Equal variancesassumed

Equal variancesnot assumed

Hours per daywatching TV

F Sig.

Levene's Test forEquality of Variances

t df Sig. (2-tailed)Mean

DifferenceStd. ErrorDifference Lower Upper

95% ConfidenceInterval of the

Difference

t-test for Equality of Means

Group Statistics

473 3.52 2.793 .128

413 2.42 2.146 .106

Use Internet?No

Yes

Hours per daywatching TV

N Mean Std. DeviationStd. Error

Mean

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We get- their exists difference of We get- their exists difference of television watching between the net users television watching between the net users and the not users. and the not users.



Any Any Question Question

??????Wednesday, 15th Wednesday, 15th Dec'10Dec'10


Thank Thank you allyou all



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Social impacts of using Internet among the adults