Social impacts of using
Internet among the adults
Group Members:
1.
2.
3.
4.
Wednesday, 15th Dec'10
Md. Habibur Rahman
Md. Shahriar Shaon
Md. Mahmudul Hasan
Md. Rayhan Hossain
Social impacts of using Internet
among the adults
BIT 02 16
BIT 02 19
BIT 02 23
BIT 02 26
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Topics to be discussed:
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What is SPSS?
About our topic
About Variables
Case Analysis and Interpretation
Conclusion
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What is SPSS?

SPSS (Statistical Package for the Social Science)

SPSS is a computer program used for statistical analysis



SPSS for windows is a computer package that will
perform a wide variety of statistical procedures.
Data management and analysis can be handled well with
SPSS.
Using SPSS we can manipulate data, make graphs and
perform statistical techniques varying from means to
regression
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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
GSSNET – Study of
use of internet and
its effects on adults
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Why this topic
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-This is an era of internet & information technology
-In order to have statistically analyzed data about the use
of internet
-In order to analyze the impacts for using internet with
different statistical test.
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Variable Analysis
And
Interpretation
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Name of the variables and their types
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
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Univariate
Analysis
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Age of the respondents(age)
Statistics
Age of respondent
N
Valid
Missing
1417
2
Case Processing Summary
Case Summaries
Age of respondent
N
1417
Mean
46.56
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Median
44.00
Minimum
18
Maximum
89
Social impacts of using Internet
among the adults
Std. Deviation
17.330
Variance
300.341
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Age categories(agecat)
Missing
.1%
18-29
60-89
17.7%
23.7%
30-39
50-59
21.9%
14.9%
40-49
21.6%
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Respondent’s Gender(sex)
Male
43.8%
F emale
56.2%
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Educational level(degree)
Missing
G raduate
.6%
Less than HS
7.5%
17.1%
Bachelor
16.6%
Junior college
7.1%
High school
51.1%
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Internet Usage Category
60
50
40
30
Percent
20
10
0
Missing
1+ to 4 hours
O ne hour or less
More than 10
4+ to 10 hours
Internet usage category
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Uses Internet or not?
Yes
46.1%
Missing
2.2%
No
51.7%
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Search Engines Name(srch2)
O t her
5. 8%
Excit e
1. 1%
Alt avist a
1. 2%
Lycos
1. 8%
Yahoo
16. 2%
Missing
73. 9%
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Hours per day watching
TV?(tvhrs)
500
Statistics
Hours per day watching TV
N
Valid
Missing
Mean
Median
Mode
Minimum
Maximum
400
906
513
3.00
2.00
2
0
24
300
200
100
Std. Dev = 2.56
Mean = 3.0
N = 906.00
0
0.0
2.5
5.0
7.5 10.0 12.5 15.0 17.5 20.0 22.5 25.0
Hours per day watching T V
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Respondent’s income for last
year(rincome)
Missing
30.0%
O ther
45.9%
$25000 T O 29999
5.1%
$30000 T O 34999
REF USED
6.6%
$40000 T O 49999
5.1%
7.3%
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Marital status(marital)
NEVER MARRIED
25.4%
MARRIED
44.5%
SEPARAT ED
4.0%
DIVO RCED
16.2%
W IDO W ED
9.9%
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Belief in life after
death(postlife)
NO
Missing
YES
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Voted in 1996 or not?(vote96)
O ther
3.2%
INELIG IBLE
6.5%
DID NO T VO T E
27.8%
VO T ED
62.5%
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Bivariate
Analyses
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Any relationship between Age
category and using net
Both the variables are
categorical.
Cross tabs
Chi-Square Tests
Age category * Use Internet? Crosstabulation
4
4
Asymp. Sig.
(2-sided)
.000
.000
1
.000
Count
Age
category
Total
18-29
30-39
40-49
50-59
60-89
Use Internet?
No
Yes
100
144
121
186
133
162
105
104
275
57
734
653
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Total
244
307
295
209
332
1387
Pearson Chi-Square
Likelihood Ratio
Linear-by-Linear
Association
N of Valid Cases
Value
163.524a
175.744
122.059
df
1387
a. 0 cells (.0%) have expected count less than 5. The
minimum expected count is 98.40.
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Any relationship between
education and using internet
Both the variables are categorical.
Chi-Square Tests
4
4
Asymp. Sig.
(2-sided)
.000
.000
1
.000
Respondent's highest degree * Use Internet? Crosstabulation
Count
Respondent's
highest
degree
Total
Less than HS
High school
Junior college
Bachelor
Graduate
Use Internet?
No
Yes
208
31
409
298
36
62
53
181
24
78
730
650
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Total
239
707
98
234
102
1380
Pearson Chi-Square
Likelihood Ratio
Linear-by-Linear
Association
N of Valid Cases
Value
250.217a
270.848
228.190
df
1380
a. 0 cells (.0%) have expected count less than 5. The
minimum expected count is 46.16.
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Pearson’s Chi square test’s p-value is less than
level of significance(0.025). So there exists
significant relationship between them.
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Relationship between Gender
and using net
Both the variables are categorical.
CrosstabsRespondent's sex * Use Internet? Crosstabulation
Count
Respondent's
sex
Total
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Male
Female
Use Internet?
No
Yes
303
306
431
348
734
654
Social impacts of using Internet
among the adults
Total
609
779
1388
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(Continued)
Chi-Square Tests
Pearson Chi-Square
Continuity Correction
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases
a
Value
4.261b
4.041
4.261
df
1
1
1
Asymp. Sig.
(2-sided)
.039
.044
.039
Exact Sig.
(2-sided)
.040
4.258
1
Exact Sig.
(1-sided)
.022
.039
1388
a. Computed only for a 2x2 table
b. 0 cells (.0%) have expected count less than 5. The minimum expected count is
286.95.
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(Continued)
Logistic regression analysis
Variables in the Equation
Step
a
1
SEX(1)
Constant
B
-.224
.010
S.E.
.108
.081
Wald
4.257
.015
df
1
1
Sig.
.039
.903
Exp(B)
.800
1.010
a. Variable(s) entered on step 1: SEX.
We decide- the usage of internet among the male is .8
times than the female.
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Marital status vs. using
internet
Both the variables are
categorical.

Chi-Square Tests
MARITAL STATUS * Use Internet? Crosstabulation
Count
MARITAL
STATUS
MARRIED
WIDOWED
DIVORCED
SEPARATED
NEVER MARRIED
Total
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Use Internet?
No
Yes
303
316
116
20
112
112
42
15
161
191
734
654
Total
619
136
224
57
352
1388
Pearson Chi-Square
Likelihood Ratio
Linear-by-Linear
Association
N of Valid Cases
Value
79.036a
86.492
1.206
4
4
Asymp. Sig.
(2-sided)
.000
.000
1
.272
df
1388
a. 0 cells (.0%) have expected count less than 5. The
minimum expected count is 26.86.
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(Continued)
Variables in the Equation
B
Step
a
1
MARRIED(1)
Constant
.285
-.243
S.E.
.108
.073
Wald
6.920
11.192
df
1
1
Sig.
.009
.001
Exp(B)
1.330
.784
a. Variable(s) entered on step 1: MARRIED.

we decide- the internet use of unmarried guys are 33%
more than the married.
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Age category vs. net usage
category
Chi-Square Tests
Pearson Chi-Square
Likelihood Ratio
Linear-by-Linear
Association
N of Valid Cases
Value
21.787a
22.024
.040
12
12
Asymp. Sig.
(2-sided)
.040
.037
1
.842
df
648
a. 0 cells (.0%) have expected count less than 5. The
minimum expected count is 9.24.
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
Pearson’s Chi square test’s p-value is more than
level of significance(0.025). So there exists no
significant relationship between them.
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Respondent’s highest degree
vs. net usage category
Chi-Square Tests
Pearson Chi-Square
Likelihood Ratio
Linear-by-Linear
Association
N of Valid Cases
Value
22.208a
22.681
10.566
12
12
Asymp. Sig.
(2-sided)
.035
.031
1
.001
df
645
a. 1 cells (5.0%) have expected count less than 5. The
minimum expected count is 4.95.
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
Pearson’s Chi square test’s p-value is more than
level of significance(0.025). So there exists no
significant relationship between them.
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Sex vs. net usage category
Chi-Square Tests
Pearson Chi-Square
Likelihood Ratio
Linear-by-Linear
Association
N of Valid Cases
Value
8.716a
8.720
3
3
Asymp. Sig.
(2-sided)
.033
.033
1
.090
df
2.870
649
a. 0 cells (.0%) have expected count less than 5. The
minimum expected count is 49.65.
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
Pearson’s Chi square test’s p-value is more than
level of significance(0.025). So there exists no
significant relationship between them.
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Using net vs. happiness of
marriage
Chi-Square Tests
Pearson Chi-Square
Likelihood Ratio
Linear-by-Linear
Association
N of Valid Cases
Value
7.055a
7.068
5.926
2
2
Asymp. Sig.
(2-sided)
.029
.029
1
.015
df
612
a. 0 cells (.0%) have expected count less than 5. The
minimum expected count is 11.80.
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
Pearson’s Chi square test’s p-value is more than
level of significance(0.025). So there exists no
significant relationship between them.
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Using net vs. happiness of life
Chi-Square Tests
Pearson Chi-Square
Likelihood Ratio
Linear-by-Linear
Association
N of Valid Cases
Value
28.707a
29.898
14.668
2
2
Asymp. Sig.
(2-sided)
.000
.000
1
.000
df
1360
a. 0 cells (.0%) have expected count less than 5. The
minimum expected count is 73.41.
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
Pearson’s Chi square test’s p-value is less than
level of significance(0.025). So there exists
significant relationship between them.
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(Continued)
Variables in the Equation
B
Step
a
1
USENET(1)
Constant
.167
-.881
S.E.
.116
.081
Wald
2.075
118.066
df
1
1
Sig.
.150
.000
Exp(B)
1.182
.414
a. Variable(s) entered on step 1: USENET.

We get the life of not net user is 18% happier
than the net users.
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Using net vs. belief in life after
death
Chi-Square Tests
Pearson Chi-Square
Continuity Correction
Likelihood Ratio
Fisher's Exact Test
Linear-by-Linear
Association
N of Valid Cases
a
Value
1.800b
1.560
1.808
df
1
1
1
Asymp. Sig.
(2-sided)
.180
.212
.179
Exact Sig.
(2-sided)
.196
1.798
1
Exact Sig.
(1-sided)
.106
.180
815
a. Computed only for a 2x2 table
b. 0 cells (.0%) have expected count less than 5. The minimum expected count is
67.25.
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among the adults
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
Pearson’s Chi square test’s p-value is more than
level of significance(0.025). So there exists no
significant relationship between them.
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Using net vs. voted in election
in 1996
Chi-Square Tests
Pearson Chi-Square
Likelihood Ratio
Linear-by-Linear
Association
N of Valid Cases
Value
35.044a
35.495
11.538
3
3
Asymp. Sig.
(2-sided)
.000
.000
1
.001
df
1348
a. 2 cells (25.0%) have expected count less than 5. The
minimum expected count is 1.43.
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Social impacts of using Internet
among the adults
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(Continued)
Variables in the Equation
B
Step
a
1
USENET(1)
Constant
.617
.224
S.E.
.113
.074
Wald
29.792
9.122
df
1
1
Sig.
.000
.003
Exp(B)
1.854
1.252
a. Variable(s) entered on step 1: USENET.

We decide- those who don’t use net vote 85%
more than the net user
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Using internet vs. TV watching
hours per day
Group Statistics
Use Internet?
No
Yes
Hours per day
watching TV
N
473
413
Mean
3.52
2.42
Std. Deviation
2.793
2.146
Std. Error
Mean
.128
.106
Independent Samples Test
Levene's Test for
Equality of Variances
F
Hours per day
watching TV
Equal variances
assumed
Equal variances
not assumed
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20.261
Sig.
.000
t-test for Equality of Means
t
df
Sig. (2-tailed)
Mean
Difference
Std. Error
Difference
95% Confidence
Interval of the
Difference
Lower
Upper
6.455
884
.000
1.09
.169
.760
1.424
6.569
870.228
.000
1.09
.166
.766
1.418
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among the adults
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
We get- their exists difference of television
watching between the net users and the not
users.
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Any Question
???
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Thank you all
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