• Class Number 4095
  • Term Code 3030
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
  • COURSE CONVENER
    • Conal Monaghan
  • LECTURER
    • Conal Monaghan
  • Class Dates
  • Class Start Date 24/02/2020
  • Class End Date 05/06/2020
  • Census Date 08/05/2020
  • Last Date to Enrol 02/03/2020
SELT Survey Results

This course will provide the knowledge and skills required to undertake research and utilize scientific literature in professional practice settings.

You will learn about research methods, statistical analyses and relevant software as well as ethical frameworks relevant to the conduct of psychological research.

You will also learn to synthesize and interpret scientific literature relating to professional practice.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

Upon successful completion of this course, students will have the knowledge and skills to:
  1. Demonstrate knowledge of major research methods, ethics and statistical analyses used in professional psychology
  2. Analyse and interpret data relevant to applied research
  3. Systematically and critically review and interpret a body of psychological research literature
  4. Demonstrate effective and efficient communication skills in a variety of media

Research-Led Teaching

We often hear students and psychologists commenting that they “can’t do statistics” or that “statistics is too hard” - this course aims to change this belief.


To be a science-practitioner, psychologists need to be able to evaluate research, to consume and communicate academic literature, and to analyse a range of data to inform their practice. We will focus on class interaction, shiny online interactive apps, and hands-on experience with JASP statistical software. Importantly, we will see stats as a tool for understanding and learning out the world, as opposed to mathematical techniques. Course assessment develops students' critical understanding and communication of research with the goal of increasing the confidence professional psychologists have with statistics and epistemology.


This course will integrate research heavily throughout all aspects of the course. Students will analyse results from current studies from the ANU and internationally, and will be exposed to the latest statistical techniques and approaches. Finally, students will investigate research on research itself, looking at current research trends of issues.

Field Trips

NA

Examination Material or equipment

There will be no permitted materials for examinations.

Required Resources

Students are required to bring laptop computers with wifi to all classes. Please contact the course convenor ASAP if this is not possible to arrange alternative options.


Course textbooks are available free via the links below (They will also be placed onto Wattle) :

Goss-Sampson, M. A. Statistical Analysis in JASP - A Students Guide (2019; July). V0.10.2 (2nd Edition). Available at: https://jasp-stats.org/jasp-materials/


Navarro, D.J., Foxcroft, D.R., & Faulkenberry, T.J. (2019). Learning Statistics with JASP: A Tutorial for Psychology Students and Other Beginners. (Version 1/sqrt(2) ). Available at: https://learnstatswithjasp.com


Students will be provided with the required readings for each week of the course. These will be made available in advance on the course site.

Students are strongly advised to purchase the following resources as part of their ongoing journey to being professional psychologists.

  1. Publication Manual of the American Psychological Association (7th eds, 2019)
  2. American Psychiatric Association (2013). Diagnostic and Statistical Manual of Mental Disorders: Diagnostic and Statistical Manual of Mental Disorder (5th eds). American Psychiatric Pub.


Staff Feedback

Students will be given feedback in the following forms in this course:

•  Verbal feedback on strengths and areas for improvement based on discussions and activities undertaken during class time.

•  Written feedback on strengths and areas for improvement, and an overall grade, for each written assessment piece.

•  A mark for each section of the exam and an overall grade.


Student Feedback

ANU is committed to the demonstration of educational excellence and regularly seeks feedback from students. Students are encouraged to offer feedback directly to their Course Convener or through their College and Course representatives (if applicable). The feedback given in these surveys is anonymous and provides the Colleges, University Education Committee and Academic Board with opportunities to recognise excellent teaching, and opportunities for improvement. The Surveys and Evaluation website provides more information on student surveys at ANU and reports on the feedback provided on ANU courses.

Other Information

Referencing Requirements

Psychology uses the referencing style endorsed by the American Psychological Association:

American Psychological Association. (2019). Publication manual of the American Psychological Association (7th ed.). Washington, DC: Author


JASP Markdown assignments will be completed using the JASP markdown functionality.


Adjustments to delivery in 2020

Course delivery and assessment in 2020 was adjusted due to the COVID-19 pandemic. Any information below that replaces what was published in the Class Summary for Semester 1, 2020 was approved by the Associate Dean Education (as is required after 10% commencement of a course). Where an activity or assessment is not referenced below, it remains unchanged.

Teaching Activities

  • Lectures/Workshops were done by Zoom, then recorded and posted to Wattle.

Assessment

Adjustments were made to assignment due dates; for details see the course Wattle site.

  • Exam was take-home and then submitted on Wattle.

Class Schedule

Week/Session Summary of Activities Assessment
1 Introduction, The Scientific Method, and Ethics
2 Descriptive Statistics and Data Preperation
3 Inferential Statistics 1: Associations and Correlations
4 Inferential Statistics 2: ANOVA and ANCOVA
5 Inferential Statistics 3: Regression and Multiple Regression Markdown analysis report assignment (10%) will be part of this weeks content
6 Inferential Statistics 4: Clinical Outcomes and Logistic Regression Statistical Report Assignment provided this week
7 Mixed Methods Guest Lecture: Dr Anna Olsen
8 Psychometrics
9 Longitudinal Data Statistical Report Assignment due
10 Path, Mediation, and Moderation Modelling
11 Reproducibility and Open Science Verbal Review report assignment (10%) will be part of this weeks content
12 Systematic Review and Meta-Analysis
13 No Lecture Final Examination, Will be held during normal class time

Tutorial Registration

Not applicable

Assessment Summary

Assessment task Value Due Date Return of assessment Learning Outcomes
Workshop task 1 10 % 25/03/2020 15/04/2020 1,4
Workshop task 2 10 % 20/05/2020 27/05/2020 1,4
Assessment Report 40 % 08/05/2020 20/05/2020 2, 4, 5
Final Examination 40 % 04/06/2020 02/07/2020 1, 2, 3

* If the Due Date and Return of Assessment date are blank, see the Assessment Tab for specific Assessment Task details

Policies

ANU has educational policies, procedures and guidelines, which are designed to ensure that staff and students are aware of the University’s academic standards, and implement them. Students are expected to have read the Academic Misconduct Rule before the commencement of their course. Other key policies and guidelines include:

Assessment Requirements

The ANU is using Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. For additional information regarding Turnitin please visit the Academic Integrity . In rare cases where online submission using Turnitin software is not technically possible; or where not using Turnitin software has been justified by the Course Convener and approved by the Associate Dean (Education) on the basis of the teaching model being employed; students shall submit assessment online via ‘Wattle’ outside of Turnitin, or failing that in hard copy, or through a combination of submission methods as approved by the Associate Dean (Education). The submission method is detailed below.

Moderation of Assessment

Marks that are allocated during Semester are to be considered provisional until formalised by the College examiners meeting at the end of each Semester. If appropriate, some moderation of marks might be applied prior to final results being released.

Participation

Students will be expected to attend all workshops in line with the standards of a professional training program. Workshops are not recorded and absences without appropriate documentation will result in missing course content. Please contact the course convenor in advance if unable to attend specific workshops.

Examination(s)

Students will be marked in accordance with detailed criteria and/or a rubric for each assessment task. 


A final exam is included in this course. Students will be provided with detailed information about this, and other assessment tasks in the course, through the course site.

Assessment Task 1

Value: 10 %
Due Date: 25/03/2020
Return of Assessment: 15/04/2020
Learning Outcomes: 1,4

Workshop task 1

Topic: The purpose of this assignment is for students to develop and apply their capacity to provide clean and reproducible analyses of data using JASP software. There will be two tasks to practice different modalities of communicating scientific findings.


The first task will allow students to produce a markdown file in JASP that clearly reflects their analysis of the data. This task will emphasise open and reproducible communication of the analyses and findings.


Value: 10%


Submitted pieces:

  • One data analysis markdown which will focus on multiple regression modelling



More detailed information on assessment requirements and marking will be made available on the course site and through discussions in workshops.


Due date: Week 5 in class time

Return date: approximately 2 weeks after submission.

Assessment Task 2

Value: 10 %
Due Date: 20/05/2020
Return of Assessment: 27/05/2020
Learning Outcomes: 1,4

Workshop task 2

Topic: The purpose of this assignment is for students to develop and apply their capacity to provide clean and reproducible analyses of data using JASP software. There will be two tasks to practice different modalities of communicating scientific findings.


This task will require students to give a brief review of a results section in an academic paper as one would at a conference, journal study group, to professional associates, or to clients.  


Value: 10%


Submitted pieces:

One verbal critique of a research paper


More detailed information on assessment requirements and marking will be made available on the course site and through discussions in workshops.


Due date: In class time week 11

Return date: approximately 2 weeks after submission.

Assessment Task 3

Value: 40 %
Due Date: 08/05/2020
Return of Assessment: 20/05/2020
Learning Outcomes: 2, 4, 5

Assessment Report

Topic:

Science-practitioners inform their practice by reviewing the quality and importance of the research base. This allows for informed decision making. This assignment allows students to develop these skills through analysing data on clinical study and report results in comparison to the published paper. The report must include descriptive statistics, appropriate inferential statistics, review of paper’s conclusion compared to own conclusions, discussion on research practices.


Submitted piece:

  • An analytical report (2,000). Relevant paper and data provided in week 6.


More information on the report and marking rubric will be provided in week 6.


Value: 40%


Due Date: COB 8 May (Week 9)

Return date: approximately 2 weeks after submission.

Assessment Task 4

Value: 40 %
Due Date: 04/06/2020
Return of Assessment: 02/07/2020
Learning Outcomes: 1, 2, 3

Final Examination

The assessment is designed to determine students: 

1)   Knowledge and understanding of the primary approaches to statistics and methodology, including science epistemology, descriptive statistics, inferential statistics, the role of epistemology and meta-analysis, and current issues in open science and reproducibility.

2)   This examination will also focus heavily on students' capacity to select appropriate statistical approaches and interpret JASP output.


Please note that students will not be permitted any materials in the examination except for writing materials (for example, a pen, pencil, eraser). Students will be required to bring their student identification to the examination.



Academic Integrity

Academic integrity is a core part of the ANU culture as a community of scholars. At its heart, academic integrity is about behaving ethically, committing to honest and responsible scholarly practice and upholding these values with respect and fairness.


The ANU commits to assisting all members of our community to understand how to engage in academic work in ways that are consistent with, and actively support academic integrity. The ANU expects staff and students to be familiar with the academic integrity principle and Academic Misconduct Rule, uphold high standards of academic integrity and act ethically and honestly, to ensure the quality and value of the qualification that you will graduate with.


The Academic Misconduct Rule is in place to promote academic integrity and manage academic misconduct. Very minor breaches of the academic integrity principle may result in a reduction of marks of up to 10% of the total marks available for the assessment. The ANU offers a number of online and in person services to assist students with their assignments, examinations, and other learning activities. Visit the Academic Skills website for more information about academic integrity, your responsibilities and for assistance with your assignments, writing skills and study.

Online Submission

You will be required to electronically sign a declaration as part of the submission of your assignment. Please keep a copy of the assignment for your records. Unless an exemption has been approved by the Associate Dean (Education) submission must be through Turnitin.

Hardcopy Submission

For some forms of assessment (hand written assignments, art works, laboratory notes, etc.) hard copy submission is appropriate when approved by the Associate Dean (Education). Hard copy submissions must utilise the Assignment Cover Sheet. Please keep a copy of tasks completed for your records.


Late Submission

Individual assessment tasks may or may not allow for late submission. Policy regarding late submission is detailed below:

The two in class assessment pieces (Assessment tasks 1 and 2) and the exam (Assessment task 4) will not permit late assessments.

  • Late submission not permitted. If submission of assessment tasks without an extension after the due date is not permitted, a mark of 0 will be awarded.


For the take home assignment (Assessment task 3), late submissions are permitted.

  • Late submission permitted. Late submission of assessment tasks without an extension are penalised at the rate of 5% of the possible marks available per working day or part thereof. Late submission of assessment tasks is not accepted after 10 working days after the due date, or on or after the date specified in the course outline for the return of the assessment item. Late submission is not accepted for take-home examinations.

Referencing Requirements

Accepted academic practice for referencing sources that you use in presentations can be found via the links on the Wattle site, under the file named “ANU and College Policies, Program Information, Student Support Services and Assessment”. Alternatively, you can seek help through the Students Learning Development website.

Returning Assignments

Assignments will be returned electronically through the course wattle site approximately two weeks after the due date.


Extensions and Penalties

Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure. Extensions may be granted for assessment pieces that are not examinations or take-home examinations. If you need an extension, you must request an extension in writing on or before the due date. If you have documented and appropriate medical evidence that demonstrates you were not able to request an extension on or before the due date, you may be able to request it after the due date.

Resubmission of Assignments

Grading in the Master of Professional Psychology program reflects achievement of competencies as appropriate to developmental level. As such, students will be provided with grades indicating that competency has been met Course Requirement Satisfied (CRS) or not met (Fail).


Failure to submit an assignment of a high standard which meets requirements for a passing grade (50%) will result in a student receiving feedback on the area/s requiring remediation and one opportunity for resubmission of the assignment to address these issues. This opportunity is provided only in circumstances where a genuine attempt to address the assignment requirements was determined to be made in the first submission. If the resubmission satisfactorily addresses the issues identified, a grade of CRS will be awarded for the task. The need to re-submit the same assignment twice due to inadequate performance will result in overall failure of the assessment piece, and thus the course, which will need to be repeated in a future offering.

Privacy Notice

The ANU has made a number of third party, online, databases available for students to use. Use of each online database is conditional on student end users first agreeing to the database licensor’s terms of service and/or privacy policy. Students should read these carefully. In some cases student end users will be required to register an account with the database licensor and submit personal information, including their: first name; last name; ANU email address; and other information.
In cases where student end users are asked to submit ‘content’ to a database, such as an assignment or short answers, the database licensor may only use the student’s ‘content’ in accordance with the terms of service – including any (copyright) licence the student grants to the database licensor. Any personal information or content a student submits may be stored by the licensor, potentially offshore, and will be used to process the database service in accordance with the licensors terms of service and/or privacy policy.
If any student chooses not to agree to the database licensor’s terms of service or privacy policy, the student will not be able to access and use the database. In these circumstances students should contact their lecturer to enquire about alternative arrangements that are available.

Distribution of grades policy

Academic Quality Assurance Committee monitors the performance of students, including attrition, further study and employment rates and grade distribution, and College reports on quality assurance processes for assessment activities, including alignment with national and international disciplinary and interdisciplinary standards, as well as qualification type learning outcomes.

Since first semester 1994, ANU uses a grading scale for all courses. This grading scale is used by all academic areas of the University.

Support for students

The University offers students support through several different services. You may contact the services listed below directly or seek advice from your Course Convener, Student Administrators, or your College and Course representatives (if applicable).

Conal Monaghan
52835
Conal.Monaghan@anu.edu.au

Research Interests


Personality, Machiavellianism, Alternative Model for Personality Disorders, clinician well-being, open and reproducible science, psychometrics, clinical psychological assessment

Conal Monaghan

By Appointment
By Appointment
Conal Monaghan
612 52835
Conal.monaghan@anu.edu.au

Research Interests


Conal Monaghan

By Appointment
By Appointment

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