FDSC50040 Statistical Analysis Research

Academic Year 2021/2022

Understanding the concept of what statistical analysis is required for which data sets is an invaluable skill and one which is not only required when you are doing your current PhD but also has enormous relevance for your future career in research design, analysis and interpretation, be it in academia or the private sector.

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Curricular information is subject to change

Learning Outcomes:

Statistical Analysis for Research has 5 learning outcomes:

1. Use statistics to reduce complex data situations to manageable formats in order to describe, explain or model them;

2. Derive descriptive statistics for various data types;

3. Perform and critique statistical tests on two sample data;

4. Set up and critically analyse data sets in both a parametric and non-parametric way for two and more samples;

5. Communicate effectively research findings in a clear concise manner using correct terminology using SPSS.

Indicative Module Content:

This statistic course is delivered over 3 days and works from an Introduction to data analysis through statistical Inference with SPSS, multi-variable data analysis and then correlation and multiple regression.
The course includes worked examples and illustrations culminating in an MCQ.
This module is useful for researchers at a stage in their research when they have a set of data.

Student Effort Hours: 
Student Effort Type Hours
Lectures

21

Specified Learning Activities

28

Autonomous Student Learning

51

Total

100

Approaches to Teaching and Learning:
This 3 day lab based module uses worked examples of statistical problems and solution sets. Students work through given examples and reflect on the statistics they applied to specific data sets and why. 
Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 
Assessment Strategy  
Description Timing Open Book Exam Component Scale Must Pass Component % of Final Grade
Multiple Choice Questionnaire: At the end of the module an MCQ is conducted to assess the acquired knowledge and skill End of trimester MCQ n/a Pass/Fail Grade Scale Yes

100


Carry forward of passed components
Yes
 
Resit In Terminal Exam
Summer No
Please see Student Jargon Buster for more information about remediation types and timing. 
Feedback Strategy/Strategies

• Feedback individually to students, post-assessment

How will my Feedback be Delivered?

Not yet recorded.

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
 

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