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Welcome to the Psychological Research Design and Analysis 2 module. This module guide has been written to answer questions to which you will probably want the answer to at the beginning of the module. In this module you will study more advanced research designs and their analysis, building on the previous module Psychological Research Design and Analysis 1. The module is taught through weekly lectures and practical classes. Assessment is in the form of a written examination, a research proposal and reflective commentary on the research process.
This is a core level-2 module for all students. It is a year-long module and is worth 20 credits. As it is a level-2 module, it will contribute towards your final grade. We hope that you find the module useful in helping toward the successful completion of your degree programme. Research design and analysis 2 is challenging you to become a better researcher; your success is critically dependent upon your attendance. You will learn a great deal, and this will be crucial for your progress through your BSc (Hons) Psychology programme, including your third-year dissertation project and projects related to other modules.
The module aims to facilitate the development of knowledge of and skills in using advanced research designs, including the use of quantitative and qualitative analysis techniques. It also aims to facilitate the development of the skills required to write and reflect upon the development of a research proposal.
Module content includes conceptual issues in advanced research designs including experimental, quasi-experimental and non-experimental quantitative research designs and quantitative data analysis in relation to ANOVA, multiple comparisons, power analysis and multiple regression. A variety of qualitative methods and analyses will also be considered including interviewing skills, thematic analysis, discourse analysis, life grids and phenomenology. The module additionally includes sessions covering literature searching, developing a research proposal and reflecting on the research process.
Teaching & Learning
The module is delivered weekly via a one-hour lecture and a two-hour seminar.
Lectures are essential and used as a starting point to enable you to acquire knowledge of qualitative and quantitative research methods and analysis. Active learning takes place in seminar classes; they are also essential and build upon lecture materials to develop your research design and analysis skills. Seminar sessions also enable you to develop or improve your skills in using specific computer software that is used for data analysis. Blackboard (http://blackboard.tees.ac.uk/) is used to provide learning resources for the module and announcements that are specific to the module.
The one-hour lecture and a two-hour seminar class are vital for you to attend in order to progress on this module.
In seminar sessions you will conduct exercises, giving hands-on experience with the module's topics and, crucially, practise the use of statistical procedures with and without the use of SPSS and conduct psychological experiments, including data collection. Experiments will be undertaken during the module which will be part of the module exam and thus it is crucial that you attend.
Main learning outcomes
On successful completion of this module you should be able to
Evaluate critically and select from alternative research methods in more complex situations.
Apply numerical and statistical skills and qualitative research analysis skills to the analysis of advanced research designs.
Formulate a research question and design an empirical study to facilitate its investigation.
Demonstrate the ability to individually develop a research proposal and critically reflect upon the process of developing a psychological research proposal.
Use written communication skills to present a research proposal.
Use specialist software appropriate to the analysis of advanced research designs.
Students are expected to attend all lectures, seminars, workshops and any other scheduled teaching activity e.g. dissertation supervision. It is through interpersonal exchanges with tutors and peers that experiential learning and the testing of ideas takes place and the University has strong evidence that good attendance is related to success in assessments. Attendance will be monitored and if there is evidence that you are not engaging with University studies then you may be withdrawn from the programme.
The lectures are essential as a starting point for developing knowledge of advanced research designs. Similarly, the practicals are essential as a starting point for developing skills in the use of concepts and procedures related to these designs, in particular the use of analysis techniques. Lecture notes will be 'published' through Blackboard, but they can never capture all that is taught in a lecture. Likewise, model answers to practical exercises will be published, but they can never capture all that is taught in a practical. It is therefore essential that you attend every session and registers will be taken. Experience from previous years has shown that independent study, including exercises to practise, is necessary to successfully pass the assessments. If for some reason you cannot attend a particular lecture or practical please contact the module leader (Helen Brookes (weeks 1-11), Katherine Swainston (week 12 onward)).
You must use your home space on your library student account when using PCs during module practicals and other PCs in the university. It is your responsibility to take care of making back-ups. It is recommended that you make back-ups using a memory stick ('flash memory'). Failure or loss of electronic storage devices and files will not be accepted as a reason for late submission of course work. Data sets and other learning materials will be provided. All electronic learning materials and other essential information will be available through Blackboard.
SPSS version 16 for home use is available free to all current students via a secure login.
The student link is: http://nethelp.tees.ac.uk/NetHelp/Home/ Â
This link is also signposted from the IT helpdesk site.
After allocation to seminar groups, you will not be able to change unless there are exceptional circumstances that have been accepted by the module leader.
Module leader (week 12 onwards) & tutor: Katherine Swainston, K.Swainston@tees.ac.uk, ext. 8013
Module leader (weeks 1- 11) & tutor: Helen Brookes H.Brookes@tees.ac.uk, ext. 2331
Module tutor: Susan Becker, S.Becker@tees.ac.uk, ext. 2349
Module tutor: J.Mason@tees.ac.uk, (village area)
Module tutor: Jill Richmond, J.Richmond@tees.ac.uk, ext. 2341
Module tutor Dave Woodhouse, D.Woodhouse@tees.ac.uk, ext. 2336
Contact details of all staff teaching on the module will also be given through Blackboard.
Lecture: Mondays, 11.00am - 12.00pm
Seminars: Weekly two-hour classes
Allocations to seminar classes will be made during week 1.
1.00pm - 3.00pm
3.00pm - 5.00pm
11.00am - 1.00pm
4.00pm - 6.00pm
9.00am - 11.00am
10.00am - 12pm
11.00am - 1.00pm
2.00pm - 4.00pm
Formative Assessment (does not count towards your final module mark)
Workbook: You will be completing week-by-week a workbook that is specific to this module. You tutor will assess your progress at completing the workbook during the seminars and will provide feedback to you on your performance.
Research proposal: Using peer review, you will assess another student's research proposal before they hand in their final proposal and another student will assess your research proposal before you hand in your final proposal. The formative assessment allows you to evaluate your own performance, receive feedback and identify areas for improvement that would be required for the summative assessment.
Summative Assessment (does count towards your final module mark)
Summative In-Course Assessment (40% of the module mark)
The in-course assessment consists of:
1) A written individual research project proposal with a 2000 word limit (30% of the module mark). The proposal is based on a research topic and a relevant key publication chosen by students. The proposal includes the following sections:
Front sheet (not included in the word count)
Title page (your title only is included in the word count)
Introduction section including:
Background literature (brief overview)
Research question, aims and objectives
Hypotheses (for quantitative research designs)