Rhedir gan School of Human and Behavioural Sciences

10.000 Credydau neu 5.000 Credyd ECTS

Semester 1 a 2

Trefnydd: Dr Anthony Blanchfield

The purpose of the module is to provide students with an in-depth understanding and critical appreciation of statistical procedures. Research skills oriented modules form the bedrock of CoHs’ MRes programmes and to a less extent SSHES’ suite of MSc programmes. As a result, the module is aligned with both discipline specific and (higher) cognitive skills our MRes and MSc programmes aim to provide.

This independent study based module will enable students to gain a comprehensive understanding of a statistical procedure of their choosing (following consultation with the staff member responsible for the module). Towards this end, students will cover (i) relevant background issues, (ii) when to use utilize particular statistical tests, (iii) how to conduct statistical testing via appropriate software, (iv) how to correctly interpret computational output, and (v) how to present the findings following analysis. Students will learn about these themes through a “learning by teaching” paradigm via the progressive development of a podcast.

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Pass: Fair understanding evident via a structured podcast however some irrelevance is present. Presentation of information contains several factual, computational, or interpretational errors. More specifically within the podcast although there will be understanding and an account of how to conduct the chosen statistical test using contemporary software, only rather limited awareness of background issues and under which circumstances particular statistical procedures are most appropriate will be evident. Similarly, while there will be evidence of some good understanding and sporadic correct interpretation of an analysis output, errors and misunderstanding within the illustration of how to write up results from the output will be present.

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Merit: Some very good understanding evident via a well structured and somewhat concise podcast. Good presentation of information which is mostly free of factual, computational, or interpretational errors. More specifically within the podcast there will be some awareness of background issues, under which circumstances particular statistical procedures are most appropriate as well as an accurate understanding and fairly detailed account of how to conduct the chosen statistical test using contemporary software. Correct interpretation of an analysis output and an accurate illustration of how to write up results from the output will also be seen.

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Distinction: Detailed and comprehensive understanding evident via a well structured, concise and highly focused podcast. Excellent presentation of information containing no factual, computational, or interpretational errors. More specifically within the podcast there will be clear awareness of background issues, under which circumstances particular statistical procedures are most appropriate (including coverage of relevant subtleties) as well as a highly accurate understanding and a logically presented step-by-step account of how to conduct the chosen statistical test using contemporary software. Correct interpretation of an analysis output (again including coverage of relevant subtleties) and a comprehensive illustration of how to write up results from the output will also be seen.

1. Critically discuss statistical procedures at an advanced, in-depth level

2. Demonstrate critical awareness of how to interpret and communicate statistical outputs

3. Verbally present complex research and statistics related information in an effective manner for the intended population

4. Visually present complex research and statistics related information in an effective manner for the intended population

Math	Enw	Disgrifiad	Pwysau
	assessment		100.00

		Oriau
Private study	Students should use their private time to work independently on the statistical procedure of their choosing. It is expected that this independent learning will be an iterative process, whereby the student will learn about the statistical procedure in their own time, using the seminar content to reinforce this learning, while then executing this content in their own time via the development of a 30 minute podcast that will be aimed at BSc students.	80
One-to-one supervision	This module is an independent study based module. It is therefore designed to enable students to gain a comprehensive understanding of a statistical procedure of their choosing. Seminar time / drop-in time should be used with the MRes supervisor for students to cover relevant background issues to the statistical procedure, (ii) when to use utilise particular statistical tests, (iii) how to conduct statistical testing via appropriate software, (iv) how to correctly interpret computational output, and (v) how to present the findings following analysis. Students will learn about these themes through a “learning by teaching” paradigm via the progressive development of a podcast.	20

• Literacy - Proficiency in reading and writing through a variety of media
• Numeracy - Proficiency in using numbers at appropriate levels of accuracy
• Computer Literacy - Proficiency in using a varied range of computer software
• Self-Management - Able to work unsupervised in an efficient, punctual and structured manner. To examine the outcomes of tasks and events, and judge levels of quality and importance
• Exploring - Able to investigate, research and consider alternatives
• Information retrieval - Able to access different and multiple sources of information
• Inter-personal - Able to question, actively listen, examine given answers and interact sentistevely with others
• Critical analysis & Problem Solving - Able to deconstruct and analyse problems or complex situations. To find solutions to problems through analyses and exploration of all possibilities using appropriate methods, rescources and creativity.
• Presentation - Able to clearly present information and explanations to an audience. Through the written or oral mode of communication accurately and concisely.

• research and assess paradigms, theories, principles, concepts and factual information, and apply such skills in explaining and solving problems
• critically assess and evaluate data and evidence in the context of research methodologies and data sources
• describe, synthesise, interpret, analyse and evaluate information and data relevant to a professional or vocational context
• apply knowledge to the solution of familiar and unfamiliar problems
• demonstrate effective written and/or oral communication and presentation skills
• work effectively independently and with others
• take and demonstrate responsibility for their own learning and continuing personal and professional development
• plan and design practical activities using appropriate techniques and procedures whilst demonstrating high levels of relevant skills
• demonstrate an understanding of the philosophical basis of scientific paradigms
• demonstrate evidence of competence in the scientific methods of enquiry, and interpretation and analysis of relevant data and statistical outputs.
• develop transferable skills of relevance to careers outside of sport, health and exercise sciences.
• communicate succinctly at a level appropriate to different audiences.
• develop effective learning aids
• demonstrate effective robust data collection methods