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No
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Research Question
|
Independent Variable
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Dependent Variable
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Statistical Technique
|
|
RELATIONSHIPS
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||||
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1
|
What is the relationship between Gender and Dropout rates from
University
|
One categorical variable
Gender
Male/Female
|
One categorical variable
|
Chi-Square (Non-Parametric)
|
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2
|
Is there a relationship between emotional intelligence and academic
achievement
|
Two continuous variable emotional intelligence and academic
achievement
|
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Pearson product moment coefficient of correlation (Parametric)
Spearman rank order correlation (Non-parametric)
|
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3
|
How much the variance in self esteem scores can be explained by
emotional intelligence, depression and academic achievement ? which of these
variables is the best predictor ?
|
Set of two or more continuous independent variables emotional
intelligence, depression and academic achievement
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One continuous dependent variable i.e. self esteem
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Multiple Regression (parametric)
|
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4
|
Is emotional intelligence is predict life satisfaction
|
One continuous independent variable i.e. emotional intelligence
|
One continuous dependent variable i.e. life satisfaction
|
Linear Regression (parametric)
|
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COMPARING
GROUPS
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||||
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1
|
Are males more likely to dropout from university than females
|
One categorical independent variable i.e. gender male/female
|
One categorical dependent variable i.e. dropout pass/fail
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Chi square (Non-parametric)
|
|
2
|
Is there a change in patient’s depression after therapy
|
One categorical independent variable Before/After therapy
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One continuous dependent variable depression
|
Paired sample t-test (Parametric)
Wilcoxon Signed Rank test (Non-parametric )
|
|
3
|
Is there a difference in depression scores for people under 20,
from 20 to 50 and over 50
|
One categorical independent variable (three or more groups) i.e. age groups
|
One continuous dependent variable i.e. depression
|
One way between group ANOVA (Parametric) Kruskal Wallis
(Non-parametric)
|
|
4
|
Is there a change in work performance in different levels of temperature
|
One categorical independent variable i.e. levels of temperature
|
One dependent variable i.e. work performance
|
One way repeated measure ANOVA (Parametric) Friedman
(Non-Parametric)
|
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5
|
Is there a difference in the depression scores for males and
females, who are under 20, 21 to 49 and 50 plus
|
Two categorical independent variables i.e. two or more levels of
age groups and gender
|
One continuous variable i.e. depression
|
Two way between group ANOVA (Parametric)
|
Thursday, 23 March 2017
Statistical Techniques According to Research Questions
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