MATH09001 2021 Data Handling and Analysis
Full Title
Data Handling and Analysis
Transcript Title
Data Handling and Analysis
Code
MATH09001
Attendance
N/A %
Subject Area
MATH - 0541 Mathematics
Department
BUS - Business
Level
09 - Level 9
Credit
10 - 10 Credits
Duration
Semester
Fee
€
Start Term
2021 - Full Academic Year 2021-22
End Term
9999 - The End of Time
Author(s)
John Bartlett, Ruth Moran
Programme Membership
SG_SRESE_S09 202100 Certificate in Research Practice
SG_BRESE_O09 202200 Post Graduate Diploma in Science in Research Practice
SG_BRESE_O09 202200 Post Graduate Diploma in Science in Research Practice
SG_SRESE_S09 202200 Postgraduate Certificate in Research Practice
Description
To equip learners with the analytical tools required to design and analyse experiments and/or observational studies, in order to make estimates, test hypotheses and explore relationships.
Learning Outcomes
On completion of this module the learner will/should be able to;
1.
Collect quantitative and/or qualitative data using appropriate investigative techniques.
2.
Formulate research hypotheses
3.
Articulate a model for the response in an experiment
4.
Analyse data using software
5.
Present, defend and discuss conclusions
6.
Evaluate the statistical quality of research papers and presentations
Teaching and Learning Strategies
A variety of teaching and learning techniques will be incorporated including case studies, problem-based learning, guest lecturing, flipped classroom, peer learning.
Module Assessment Strategies
Learning outcomes will be assessed by means of project work carried out by the learners. The projects will involve the design of observational studies or experiments, data collection, data analysis, and presentation of conclusions. Project reports will be presented in written form and will also be presented and defended orally.
Repeat Assessments
Repeat assessments requirements will be based on failed components and be recorded at the Progression and Award Boards.
Indicative Syllabus
Data Collection: types of data (quantitative/qualitative)
Data structuring and Analysis: assess reliability of qualitative data, statistical software packages (SPSS, Nvivo, minitab), variation between techniques, categorical data, contingency tables, Testing Hypotheses
Experiment design: single factor/multifactor experiments, experimental designs, sample size requirements, equivalence
Dissemination and Quality: Present, defend and discuss conclusions; statistical quality of research papers and presentations
Coursework & Assessment Breakdown
Coursework & Continuous Assessment
100 %
Coursework Assessment
| Title | Type | Form | Percent | Week | Learning Outcomes Assessed | |
|---|---|---|---|---|---|---|
| 1 | Individual Project | Coursework Assessment | Assessment | 70 % | OnGoing | 1,2,3,4 |
| 2 | Performance Evaluation Oral Presentation | Coursework Assessment | Assessment | 30 % | OnGoing | 5,6 |
Part Time Mode Workload
| Type | Location | Description | Hours | Frequency | Avg Workload |
|---|---|---|---|---|---|
| Independent Learning | Online | Software packages and review | 9 | Weekly | 9.00 |
| Lecture | Online | Information Dissemination | 3 | Weekly | 3.00 |
Total Part Time Average Weekly Learner Contact Time 3.00 Hours
Module Resources
Non ISBN Literary Resources
Bryman, A. (1988). Quantity and Quality in Social Research. London: Unwin Hyman.
Clarke, A. (2000). Evaluation Research: An Introduction to Principles, Methods and Practice. London: Sage. Cohen, L., L. Manion and K. Morrison. (2001). Research Methods in Education. London: Routledge Falmer.
Cook, T. and C. Reichardt. (1979). Qualitative and Quantitative Methods in Evaluation Research. Beverly Hills, CA: Sage.
Fielding, N.G. and J. L. Fielding. (1986). Linking Data, Qualitative Methods Series. Beverly Hills, CA: Sage.
Gronlund, N. (1991). How to write and use instructional objectives, 4th edition. New York: Macmillan Publishing Company.
Howitt, D. and D. Cramer. (2005). A Guide to Computing Statistics with SPSS for Windows. Pearson Education Ltd.
Jick, T.D. (1983). ‘Mixing qualitative and quantitative methods:triangulaton in action’. In:
Qualitative Methodology. Beverly Hills, CA: Sage.
Landor, Lauchlan, Carrigan and Kennedy. (2006). ‘Feeding Back the Results of Dynamic Assessment to the Child Verbally and Through the Medium of Video’ available at: http://www.qsrinternational.com/FileResourceHandler.ashx/RelatedDocuments/ DocumentFile/165/Feeding_back_the_results_of_dynamic_assessment_to_the_child.pdf
Leedy, P. and J. Ormrod. (2000). Practical Research: Planning and Design, 7th edition. Merrill Prentice Hall.
Silverman, D. (2000). Doing Qualitative Research: A Practical Handbook. London: Sage.
Journal Resources
URL Resources
Other Resources
A contemporary list of websites, journal articles and games will be provided by the lecturer
Additional Information