|Module Title||RESEARCH METHODOLOGIES, DATA ANALYSIS AND INTERPRETATION|
|Co-ordinator||Dr Malcolm H Leitch|
|Semester||Semester 2 (Taught over 2 semesters)|
|Other staff||Professor William Haresign|
|Course delivery||Lecture||36 Hours 18 x 2 hour combined lectures/practical sessions on Data Analysis|
|Other||14 Hours 3 x 2 hour workshops in Research Methodologies; 4 x 2 hour workshops in Data Analysis|
|Lecture||10 Hours 10 x 1 hour lectures on Research Methodologies|
a. Relevant information is selected and included in the review.
b. A range of information sources covering the scope of the subject is presented.
c. Information is compiled, selected, interpreted and summarised in the student''''s own words.
d. Conclusions are identified and presented.
e. Reference to published material is cited appropriately in the text.
Dependent on subject area.
Information Sources: books, journal articles, press, personal communications, other
published material, results from investigations (where applicable).
Reference citation: Harvard system.
Discuss the differences in experimental approach between quantitative and qualitative research
Definitions of quantitative and qualitative research methods can be given.
Examples of quantitative and qualitative research methodologies can be quoted.
Dependent upon subject area
Propose an appropriate experimental hypothesis for subsequent testing
a. The general introduction to the subject provides a background to the topic studied.
b. The significance and context of the subject area is stated.
c. The aims of the project are presented.
d. The limitations of the project/scope of study are identified and presented.
Dependent on subject area.
Design an appropriate experimental approach for testing an experimental hypothesis
a. The methodology is presented and could be repeated by other workers.
b. A suitable/correct methodology is employed within the project.
c. Details of equipment/survey technique used are recorded.
Suitable/correct methodology: dependent on subject area.
Equipment/survey technique: dependent on subject area.
Metric system of measurement.
Identify appropriate methods of analysis for different types of data
a. Method chosen is appropriate to the numbers of treatment groups.
b. Method chosen is appropriate to the type of data available.
Methods: parametric and distribution free non-parametric tests.
Data: discrete and continuously variable.
Analyse data using a range of statistical methods
a. Correct arithmetic procedures are followed.
b. Test statistics are correctly compared to published values.
Parametric and distribution free non-parametric test.
Interpret experimental data and draw suitable conclusions based on the results of the data analysis
a. A suitable report format is chosen.
b. Conclusions and recommendations are made in view of the results of the statistical tests.
Parametric and non-parametric tests.
Example data provided or collected by the student.
The module includes the theory and practice of a range of statistical methodologies. These include probability, a description of the normal distribution and parametric tests based on samples drawn from normally distributed populations including t-tests, one way and multi way ANOVA and correlation and regression analysis. Non-parametric methods will include chi-square analysis of frequencies, contingency tables, Mann-Whitney U test and Spearman rank correlation. This component of the course is taught through a series of two-hour lecture/practical sessions consisting of an introductory lecture followed by practical examples to work through.
.2 IT and information handling
Students will be required to use IT-based literature searches for the production of their research plan and to produce their assignment in word processed format.
.3 Use and analysis of numerical information
Data analysis using a range of statistical methods represents a major component of the module and will be assessed by means of open book examination.
.4 Writing in an academic context
The Literature Review part of the research plan will require students to write in an academic context appropriate to their chosen area of research, as well as to demonstrate an ability to interpret rather than simply reporting existing literature.
.6 Careers need awareness
The skills obtained from this module will be transferable to many `real world? situations that are likely to confront students in their subsequent careers
The production of the research plan will require students to work to specified deadlines, but they will be responsible for organizing their own time management to meet those deadlines
This module is at CQFW Level 5