Methods in Social Science Report

This report details a social science research project analyzing various factors. It uses statistical methods like regression analysis to examine the relationship between gender and institutional trust (legal system, parliament, police), political party choice and political participation confidence, and overall happiness with life satisfaction and economic conditions. The report presents crosstabulations, regression models, ANOVA tables, and interpretations of significance levels, R-squared values, and correlation coefficients. Appendices provide detailed SPSS output, including crosstabulation results and regression coefficients. The findings suggest varying degrees of correlation between the variables studied, with some relationships showing statistical significance and others not.

METHODS IN SOCIAL
SCIENSE

TABLE OF CONTENTS
(1) Institutional trust and gender......................................................................................................3
(2) Political party choice and dependent variable..........................................................................10
(3) Overall happiness and independent variables..........................................................................12
3(a).............................................................................................................................................12
3(b).............................................................................................................................................13
APPENDIX....................................................................................................................................15

(1) Institutional trust and gender
Relationship between legal system (institution) and gender
Gender * Trust in legal system 1 Crosstabulation
Count
Trust in legal system 1 Total
0 1 2 3 4
Gender Male 13 124 615 125 16 893
Female 14 142 614 105 23 898
Total 27 266 1229 230 39 1791

Relationship between parliament system (institution) and gender
Gender * trust in parliament Crosstabulation
Count
trust in parliament Total
.00 1.00 2.00 3.00 4.00
Gender Male 22 146 586 122 17 893
Female 21 168 583 112 14 898
Total 43 314 1169 234 31 1791

Relationship between police system (institution) and gender
Gender * Trust in police Crosstabulation
Count
Trust in police Total
.00 1.00 2.00 3.00 4.00
Gender Male 9 99 621 163 1 893
Female 6 93 626 170 3 898
Total 15 192 1247 333 4 1791

Interpretation
(See appendix 1a,1b and 1c) From the above table it can be seen that three variables are
analyzed which are trust in police, parliament and legal system. Value of Chi square for trust in
legal system is 0.375>0.05 which means that there is no significant relationship between the
variables. In case of trust of( parliament chi square value is 0.685>0.05 and it is clear that there is
lack of significant relationship between the variables. Apart from this, other variable that is taken
in to consideration is trust on police. The level of significance is 0.747 which is greater than
0.05. On this basis it can be said that in terms of age there is no significant relationship among
the variables which are trust on police, parliament and legal system. In other words it can be said
that gender is not a factor that play any role in forming a trust among the people about the police,
parliament and legal system.
Relationship on the basis of regression between parliament system (institution) and gender
Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients
t Sig.
B Std. Error Beta
1 (Constant) 2.002 .051 39.127 .000
Gender -.040 .032 -.029 -1.233 .218
a. Dependent Variable: trust in parliament
Charts

Interpretation
(See appendix d) Level of significance is 0.218<0.05 and it can be said that no significant
difference come in the people trust towards parliament. Value of R and R square is 0.029 and
0.001. This reflects that due to change in independent variable only 0.01% change come in the
dependent variable due to change in the independent variable. Value of correlation is 0.029
which means that there is no relationship between gender and variable people trust in parliament.
Relationship on the basis of regression between legal system (institution) and gender
Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients
t Sig.

B Std. Error Beta
1 (Constant) 2.037 .049 41.799 .000
Gender -.029 .031 -.022 -.942 .346
a. Dependent Variable: Trust in legal system 1
Charts
Interpretation

(See appendix e) Level of significance is 0.346<0.05 and thus it can be said that there is
no significant difference between the dependent and independent variable. It can be said that
independent variable which is gender is not significant predictor of trust in legal system. This
assumption is further supported by value of R and R square which are revealed by the regression
model. Value of R and R square is 0.22 and 0.00. It is clear that with change in the independent
variable 0% change comes in the dependent variable. This percentage change is negligible. On
other hand, correlation value is also moderate 0.22. Hence, it can be said that gender only to
some extent affects people trust on legal system.
Police
Relationship on the basis of regression between police system (institution) and gender
Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients
t Sig.
B Std. Error Beta
1 (Constant) 2.028 .043 47.119 .000
Gender .025 .027 .022 .930 .352
a. Dependent Variable: Trust in police
Charts

Interpretation
(See appendix f) In present case level of significance is 0.352>0.05 and it reflects that
there is no significant difference between dependent and independent variable. This means that
gender is not affecting a level of trust that people have on police. Value of R and R square is
0.022 and 0.00. This means that with alteration in value of independent variable only 0% change
takes place in the dependent variable. Correlation value is also very low 0.022. Hence, it is clear
that gender is not affecting a people trust level on police.
(2) Political party choice and dependent variable
Coefficientsa

Model Unstandardized Coefficients Standardized
Coefficients
t Sig.
B Std. Error Beta
1 (Constant) .990 .021 46.466 .000
PVSweden -.065 .017 -.091 -3.859 .000
a. Dependent Variable: CPTPOL
Interpretation
(See appendix 2) Regression results revealed that there is significant difference between
the mean values of the confidence on ability to participate in politics and other factor Party voted

for in last national election, Sweden. Level of significance is 0.00 which is higher than 0.05
validate the above statement. R square is only 0.8% and correlation value is 0.091 which
indicate that confidence of an individual on participation in politics does not depend the people
decision to give vote to the specific party of Sweden.
(3) Overall happiness and independent variables
3(a)
Relationship between happiness and other independent variables
Coefficientsa
Model Unstandardized Coefficients Standardized
Coefficients
t Sig.
B Std. Error Beta
1 (Constant) 2.802 .117 23.935 .000
How satisfied with life as a whole .645 .014 .730 44.524 .000
2
(Constant) 2.656 .123 21.549 .000
How satisfied with life as a whole .627 .015 .710 41.095 .000
How satisfied with present state
of economy in country .047 .013 .063 3.666 .000
a. Dependent Variable: How happy are you
Charts