Content

Numeracy, and mathematics in general, allows professionals to communicate with precision, summarise complex ideas, and make reasonable predictions about the future. It is a necessary skill set. This unit is not designed to turn you into a mathematician but to make sure you can: (1) proficiently interact with the academic/professional literature; (2) engage other clinicians as equals; and (3) report innovative clinical observations in an impactful way. You should come to this unit with high school numeracy and will then engage: (1) the graphical/tabular representation of data; (2) how to work with simple algebraic formulas; (3) the fundamentals of probability theory; and (4) introductory statistical methods (i.e., parametric, non-parametric and correlation). In doing so your ability to become an excellent student will be enhanced along with your awareness of what constitutes 'evidence-based' practice.

Unit code: CO1008Z

Unit status: Approved (Minor revision)

Points: 18.0

Unit level: Undergraduate Level 1

Unit discipline: Counselling

Proposing College: School of Professional Practice - Counselling

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Learning outcomes

1.

Be able to judge the quality of academic and professional texts.

2.

Represent data in a clear and impactful way for the benefit of others.

3.

Be able to identify different data types leading to correct analysis strategies.

4.

Apply a small set of common statistical techniques to clinically relevant data.

Unit sequence

Offering: This unit is to be taught in year 1, semester 2 (term 4). Prerequisites: NA Prohibited combinations: NA

Pedagogy

Scaffolded learning In practice: This is a collaborative way of learning that takes note of the learner’s zone of proximal development (ZPD). By repeatedly extending the learner’s ZPD they develop a comprehensive and integrated system of knowledge/skills. Scaffolded learning is achieved through the provision of online modules which clearly guide a student’s learning; through activities of increased complexity during intensives; by face-to-face seminars which are tailored to induce academic/professional growth in an ordered and coherent way; and by assessments which not only seek to identify that key knowledge/skills have been learnt, but that the student is developing an integrated understanding of counselling.

Indicative Bibliography

  1. Edwards T. (2008). Research design and statistics: A bio-behavioural focus. McGraw Hill.
  2. Huff, D. (1993). How to lie with statistics. Norton.
  3. Jackson, S. (2015). Research methods and statistics: A critical thinking approach (5th edition). Cengage.
  4. O’Shae, R., & McKenzie, W. (2021). Writing for psychology (7th edition). Cengage.
  5. Shaughnessy, J., Zechmeister, E., & Zechmeister, J. (2014). Research methods in Psychology. McGraw Hill.
  6. Wright, R. (2013). Research methods for Counselling: An introduction. SAGE Publications Inc.

Textbook is: Jackson, S. (2015). Research methods and statistics: A critical thinking approach (5th edition). Cengage.

Assessment

Type Description Word count Weight (%)
Skeleton Argument

For 5 different module “Activities” across the unit provide either: (1) a response of approx. 100 words to the question posed; or (2) a response of approx. 100 words to another student’s post. Each response will be marked as satisfactory or unsatisfactory.

500 5.0
Personal Reflection

For 5 different module “Reflection questions” across the unit provide either: (1) a response of approx. 100 words to the question posed; or (2) a response of approx. 100 words to another student’s post. Each response will be marked as satisfactory or unsatisfactory.

500 5.0
Personal Reflection

You will be provided with a clinically relevant journal article. Identify those aspects of the article which you found difficult to understand. Knowing this, how will you focus your learning in this unit?

500 20.0
Skill Demonstration

You will be provided with a set of clinically relevant data. Your task is to use your knowledge of descriptive statistics to represent this data in the most impactful way.

500 20.0
Skill Demonstration

You will be given a set of clinically relevant data. Your task is to understand its key features and so recognise a logical analysis strategy. You will then analyse the data according to this strategy and report the outcome appropriately. Show all steps and workings-out.

500 20.0
Essay

Statistics is an area of maths which engages probability, not certainty. However it is often the only way we can understand complex data. Given this, you will be provided with a question which will bring together your knowledge of statistics and clinical practice so as to develop a nuanced view of what may be called "evidence".

1500 30.0
Approvals

Unit approved for the University of Divinity by Prof Albert Haddad on 4 Nov, 2024

Unit record last updated: 2024-11-04 08:50:58 +1100