RESEARCH
METHODOLOGY
STUDY ON IMPACT OF
EDUCATIONAL ATTAINMENT AND
AGE ON SELF-ESTEEM: SPSS
ANALYSIS
SYNOPSIS
 The data set contains information from 350 respondents on
various attributes.
 Different parameters of evaluation are:
i. Mastery scale
ii. Life satisfaction scale
iii. Optimism level
iv. Self-esteem
v. Perceives stress level
vi. Positive, Negative attitude etc.
 The respondents age range from 18-82.
The two major research questions that we have are –
1. Whether self-esteem of a person is affected by the level of education
attainment?
2. Whether self-esteem level of a person is affected by the age?
Research Question 1:
Does educational
attainment improve
self-esteem?
We first formulated the hypothesis.
H0: µS1 = µS2=µS3=µS3=µS4=µS4=µS5=µS6
Average mean of self-esteem of people at all the level of
education is equal.
H1: Any of the above means are not equal
Average mean of self-esteem of people at any educational level is
not equal.
There are 6 education levels which are given to us:
µS1= Mean self-esteem at Primary education level
µS2= Mean self-esteem at some Secondary
µS3= Mean self-esteem of completed high school
µS4= Mean self-esteem of some additional training
µS5= Mean self-esteem of completed undergraduate
µS6= Mean self-esteem of completed postgraduation
RESULTS
ANOVA
tslfest2
Sum of
Squares
df Mean
Square
F Sig.
Between
Groups
223.927 5 44.785 1.635 .150
Within
Groups
9370.311 342 27.399
Total 9594.239 347
 We can see that significance level is 0.150.
 Mean squares between the groups 44.785 and mean
squares within the groups is 27.399. F- value is 1.635.
 Tukey post hoc test is generally the preferred test for
conducting post hoc tests on a one-way ANOVA.
ANALYSIS
 From the ANOVA table, the hypothesis is that there is no
significant difference among different educational attainment
levels on self-esteem is tested.
 Since, the significant value is 0.150 > 0.05, hence the null
hypothesis (Ho) is NOT REJECTED at 5% level of significance.
It means there is no significant difference among these 6 levels
of educational attainments w.r.t the total self-esteem.
 Since the mean squares between the groups is more than the
mean square within the groups (F-value>1), it shows that the
grouping is done right.
After conducting the research and
analysing the data using ANOVA test,
the conclusion drawn is that
educational attainment does not
improve the total self-esteem.
CONCLUSION
Research Question 2:
Does self-esteem vary
significantly between
younger and older age
groups?
From this research we want to analyse if there is any relation
between the age of a person and their self-esteem.
We first formulated the hypothesis.
H0: µSY = µSO
Average mean of self-esteem of young people is equal to
Average mean of self-esteem of old people
H1: µSY ≠ µSO
Average mean of self-esteem of young people is not equal to
Average mean of self-esteem of old people
RESULTS
 Under the Levene’s test, significance value is 0.418.
 Value of 2 tailed significance is 0.020.
ANALYSIS
 Referring to Levene’s table, since the value of significance is
0.418, which is greater than 0.05, so we can assume equal
variances.
 From the table of Independent Samples Test, we can see that p
value/ significance is .02 which is way too small than the
assumed value of alpha i.e., 0.05. Therefore, our H0 WILL BE
REJECTED.
 Also, Row 1 show the value of t to be 2.342 which tells us that
self-esteem depends significantly on the age of a person. This
negative sign tells us that people in the older age group have
more self-esteem than people in the younger age category.
After carrying out the research, we
can say that Yes, the age of a person
does determine the self-esteem
levels of a person.
CONCLUSION
THANKS
Do you have any questions?

Research methodology ppt

  • 1.
    RESEARCH METHODOLOGY STUDY ON IMPACTOF EDUCATIONAL ATTAINMENT AND AGE ON SELF-ESTEEM: SPSS ANALYSIS
  • 2.
    SYNOPSIS  The dataset contains information from 350 respondents on various attributes.  Different parameters of evaluation are: i. Mastery scale ii. Life satisfaction scale iii. Optimism level iv. Self-esteem v. Perceives stress level vi. Positive, Negative attitude etc.  The respondents age range from 18-82. The two major research questions that we have are – 1. Whether self-esteem of a person is affected by the level of education attainment? 2. Whether self-esteem level of a person is affected by the age?
  • 3.
    Research Question 1: Doeseducational attainment improve self-esteem?
  • 4.
    We first formulatedthe hypothesis. H0: µS1 = µS2=µS3=µS3=µS4=µS4=µS5=µS6 Average mean of self-esteem of people at all the level of education is equal. H1: Any of the above means are not equal Average mean of self-esteem of people at any educational level is not equal. There are 6 education levels which are given to us: µS1= Mean self-esteem at Primary education level µS2= Mean self-esteem at some Secondary µS3= Mean self-esteem of completed high school µS4= Mean self-esteem of some additional training µS5= Mean self-esteem of completed undergraduate µS6= Mean self-esteem of completed postgraduation
  • 5.
    RESULTS ANOVA tslfest2 Sum of Squares df Mean Square FSig. Between Groups 223.927 5 44.785 1.635 .150 Within Groups 9370.311 342 27.399 Total 9594.239 347  We can see that significance level is 0.150.  Mean squares between the groups 44.785 and mean squares within the groups is 27.399. F- value is 1.635.  Tukey post hoc test is generally the preferred test for conducting post hoc tests on a one-way ANOVA.
  • 6.
    ANALYSIS  From theANOVA table, the hypothesis is that there is no significant difference among different educational attainment levels on self-esteem is tested.  Since, the significant value is 0.150 > 0.05, hence the null hypothesis (Ho) is NOT REJECTED at 5% level of significance. It means there is no significant difference among these 6 levels of educational attainments w.r.t the total self-esteem.  Since the mean squares between the groups is more than the mean square within the groups (F-value>1), it shows that the grouping is done right.
  • 7.
    After conducting theresearch and analysing the data using ANOVA test, the conclusion drawn is that educational attainment does not improve the total self-esteem. CONCLUSION
  • 8.
    Research Question 2: Doesself-esteem vary significantly between younger and older age groups?
  • 9.
    From this researchwe want to analyse if there is any relation between the age of a person and their self-esteem. We first formulated the hypothesis. H0: µSY = µSO Average mean of self-esteem of young people is equal to Average mean of self-esteem of old people H1: µSY ≠ µSO Average mean of self-esteem of young people is not equal to Average mean of self-esteem of old people
  • 10.
    RESULTS  Under theLevene’s test, significance value is 0.418.  Value of 2 tailed significance is 0.020.
  • 11.
    ANALYSIS  Referring toLevene’s table, since the value of significance is 0.418, which is greater than 0.05, so we can assume equal variances.  From the table of Independent Samples Test, we can see that p value/ significance is .02 which is way too small than the assumed value of alpha i.e., 0.05. Therefore, our H0 WILL BE REJECTED.  Also, Row 1 show the value of t to be 2.342 which tells us that self-esteem depends significantly on the age of a person. This negative sign tells us that people in the older age group have more self-esteem than people in the younger age category.
  • 12.
    After carrying outthe research, we can say that Yes, the age of a person does determine the self-esteem levels of a person. CONCLUSION
  • 13.
    THANKS Do you haveany questions?