Module Title:Research Methods 2
Language of Instruction:English
Credits: 5
NFQ Level:6
Module Delivered In 4 programme(s)
Teaching & Learning Strategies: This module will be taught in two theory classes of one hour duration and two computer lab practicals of one hour each for 15 weeks. Teaching will be supported with examples which will be worked through in class. Students will be expected to complete problem-sheets to re-enforce learning. Delivery of the computing module will involve practical work that the student will complete in class.
Module Aim: To develop further the students' understanding of statistical concepts and techniques used in health and sports science.
Learning Outcomes
On successful completion of this module the learner should be able to:
LO1 Analyse and interpret a broad range of health and scientific data.
LO2 Discuss some parametric and nonparametric techniques of data analysis.
LO3 Perform and interpret statistical tests using Excel and SPSS.
Pre-requisite learning
Module Recommendations

This is prior learning (or a practical skill) that is recommended before enrolment in this module.

No recommendations listed
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
Requirements
This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed.
Successful completion of year 1 or equivalent
 

Module Content & Assessment

Indicative Content
Section 1
Probability and probability distributions. Gauss Normal and Student’s t, Chi-squared and Fisher’s F distributions
Section 2
Testing hypotheses about a mean based on a single sample, confidence interval for a mean based on the Central Limit Theorem.
Section 3
Testing two means both in the case of paired and unpaired data.
Section 4
The analysis of variance. Testing the equality of several means.
Section 5
Analysing categorical data, contingency tables and the Chi-squared test.
Section 6
Nonparametric methods. Mann-Whitney, Kruskall-Wallis and Wilcoxon’s tests.
Practical
Perform and interpret statistical tests using Excel and SPSS.
Assessment Breakdown%
Continuous Assessment10.00%
Practical50.00%
End of Module Formal Examination40.00%
Special Regulation
Students must achieve a minimum grade (35%) in both the practical/CA and final examination.
Continuous Assessment
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Examination Statistics examination 1,2 10.00 n/a
No Project
Practical
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Practical/Skills Evaluation Practical assessment. 1,2,3 50.00 Sem 1 End
End of Module Formal Examination
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Formal Exam 2 hour exam 1,2 40.00 End-of-Semester

ITCarlow reserves the right to alter the nature and timings of assessment

 

Module Workload

Workload: Full Time
Workload Type Frequency Average Weekly Learner Workload
Lecture 30 Weeks per Stage 1.00
Practicals 30 Weeks per Stage 1.00
Estimated Learner Hours 30 Weeks per Stage 1.33
Total Hours 100.00
 

Module Delivered In

Programme Code Programme Semester Delivery
CW_SASPS_B Bachelor of Science (Honours) in Sport and Exercise Science 2 Mandatory
CW_SASRA_B Bachelor of Science (Honours) in Sports Rehabilitation and Athletic Therapy 2 Mandatory
CW_SASAC_B Bachelor of Science (Honours) in Strength and Conditioning 2 Mandatory
CW_SAPHS_C Higher Certificate in Science in Physiology and Health Science 2 Mandatory