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FSS1 : QUANTITATIVE RESEARCH METHODOLOGY AND ANALYSIS
Aims:
The aims of this module are to:
1. Enable the student to understand and appreciate the critical role that statistical science can play in academic research;
2. Stimulate an inherent interest in statistical thinking;
3. Develop a base for further exploration of other statistical methods.
Learning Outcomes:
On successful completion of this module, student should be able to:
1. Select the correct method of sampling for quantitative research
2. Manipulate and analyse data using an appropriate software package
3. Represent data in appropriate graphical form
4. Calculate the measures of central tendency, dispersion and position
5. Carry out appropriate relational and inferential testing on data
6. Decide whether to accept or reject their null hypothesis
Outline:
This is a 3 day workshop module. Each day will be split into two sessions. Each session will consist of a combination of explanation, worked examples and practical application. Skills will be consolidated by practice within class periods and a supervised assignment.
During each session students will have the opportunity to use the software to work on the assigned worksheets for that session.
An individual project will be completed by each student at the en.
Assessment: 100% Continuous Assessment
Recommended Reading:
Pallant, Julie, SPSS Survival Manual
Week One: Friday 7th October
Morning Session:
¿ Sampling techniques
¿ Data (Quantitative) collection methods
¿ Survey Design
¿ Primary Data collection (Survey Monkey / Qualtrics surveying software)
¿ Secondary Data online sources (e.g. CSO)
Afternoon Session: Introduction to SPSS
¿ Coding
¿ Data Input
¿ Data Management
Week Two: Friday 14th October
Morning Session: Descriptive Statistics
¿ Measures of Central Tendency
¿ Measures of Dispersion
¿ Measures of location
¿ Graphs / Charts
Afternoon Session: Probability and Normal Distribution
¿ Introduction to Probability
¿ Normal Distribution
¿ Z – tests
Week Three: Friday 21st October
Morning Session: Inferential and Exploratory Quantitative Techniques (Part 1)
¿ T tests
¿ Anova
¿ Chi Square
Afternoon Session: Inferential and Exploratory Quantitative Techniques (Part 2)
¿ Correlation
¿ Regression
¿ Multiple Regresstion
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QUANTITATIVE METHODS IN THE SOCIAL SCIENCES
