SPSS Data Analysis: Relations and Variable Analysis

SPSS data analysis as per example

Contents
Relations analysis........................................................................................................................................3
Variable analysis:......................................................................................................................................29

Relations analysis
Gender VS Sleep disturbance
Hypothesis:
H0: Males are getting highly affected in sleeping.
H1: Males are not getting highly affected in sleeping.
Case Processing Summary
Gender ||
الجنس
Cases
Valid Missing Total
N Percent N Percent N Percent
How Much You Spend
Time on Social Media
Before Sleeping (In
Hours) || الوقت من كم
تستغرق على مواقع التواصل
النوم قبل الاجتماعي( )بالساعات
1 100.0% 0 0.0% 1 100.0%
Female | 178 98.3% 3 1.7% 181 100.0%
Male ||
15 100.0% 0 0.0% 15 100.0%
Descriptivesa
Gender || الجنس Statistic Std. Error
How Much You Spend
Time on Social Media
Before Sleeping (In
Hours) || من الوقت كم
مواقع على تستغرق
Female | Mean 2.02 .097
95% Confidence
Interval for Mean
Lower
Bound 1.82
Upper
Bound 2.21
5% Trimmed Mean 1.86

قبل الاجتماعي التواصل( )بالساعات النوم
Median 2.00
Variance 1.689
Std. Deviation 1.300
Minimum 1
Maximum 8
Range 7
Interquartile Range 2
Skewness 1.843 .182
Kurtosis 4.543 .362
Male || Mean 2.07 .267
95% Confidence
Interval for Mean
Lower
Bound 1.49
Upper
Bound 2.64
5% Trimmed Mean 2.02
Median 2.00
Variance 1.067
Std. Deviation 1.033
Minimum 1
Maximum 4
Range 3
Interquartile Range 2
Skewness .300 .580
Kurtosis -1.303 1.121
a. How Much You Spend Time on Social Media Before Sleeping (In Hours) || كم من الوقت( )بالساعات تستغرق على مواقع التواصل الاجتماعي قبل النوم is constant when Gender || الجنس = .
It has been omitted.

Analysis: In accordance of above done Chi-square test this can be stated that females are using
their social accounts with higher rate which is leading to disturbance in their sleeping hours.
While males are not getting affected from social media usage.
Age VS hours spent on social media before sleeping-
Hypothesis:
H0: There is relation between age of people and hours spent on social media before sleeping.
H1: There is no relation between age of people and hours spent on social media before sleeping.
Between-Subjects Factors
N
2

Do you browse your
social media before
going to sleep? || هل
\مواقع بتصفح تقوم ين
قبل الاجتماعي التواصل
النوم؟
No || لا 4
Sometimes ||
أحيانا 47
Yes || نعم
144
Tests of Between-Subjects Effects
Dependent Variable: s
Source
Type III
Sum of
Squares df Mean Square F Sig.
Corrected Model 443.003
a 3 147.668 4.171 .007
Intercept 11363.2
04 1 11363.204 320.935 .000
Doyoubrowseyoursocialmedi
abeforegoingtosleep
هلتقومينبت
443.003 3 147.668 4.171 .007
Error 6833.46
4 193 35.407
Total 92440.0
00 197
Corrected Total 7276.46
7 196
a. R Squared = .061 (Adjusted R Squared = .046)
Chi square test-