• Class Number 3738
• Term Code 3430
• Class Info
• Unit Value 6 units
• Mode of Delivery In Person
• COURSE CONVENER
• Dr Daniel Skorich
• LECTURER
• Dr Daniel Skorich
• Class Dates
• Class Start Date 19/02/2024
• Class End Date 24/05/2024
• Census Date 05/04/2024
• Last Date to Enrol 26/02/2024
SELT Survey Results

In this course, you will build on and consolidate knowledge gained in PSYC2009. The course is geared particularly towards fostering a deep understanding of Analysis of Variance (ANOVA) and Multiple Regression Correlation (MRC) approaches to data analysis. The primary focus of this course is on conceptual understanding of the various topics and the two approaches, with a secondary focus on implementation and use of ANOVA and MRC techniques (in JASP). In trying to achieve conceptual understanding, PSYC3018 makes explicit the conceptual and mathematical overlap between ANOVA and MRC, emphasizing the fundamental point that ANOVA is a special case of MRC. The lecture and lab programs are structured around emphasizing this overlap; ANOVA and MRC lectures are interspersed and will often draw on the same examples, and each lab will focus on analyzing the same data using both ANOVA and MRC techniques. Within this broad focus on ANOVA and MRC, you will also be presented with advanced material on: null hypothesis significance testing; the quantification of uncertainty; statistical prediction; effect sizes; interpretation of results; and the relationship between statistics and scientific understanding.

## Learning Outcomes

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

1. Describe and explain the unique conceptual underpinnings of a variety of statistical techniques, including Analysis of Variance (ANOVA) and Multiple Regression Correlation (MRC), as well as their conceptual overlap.
2. Choose and apply the appropriate statistical techniques for a variety of research designs.
3. Implement statistical analyses in JASP and read and interpret data analysis output.
4. Set up, conduct, and report statistical analyses in a style appropriate for Psychology and interpret results reported in scientific articles.
5. Identify biases in the historic and current use of statistics, including in attempts to justify cultural hegemony, racist ideologies, and other forms of discrimination.

## Examination Material or equipment

The exam in this course is “open-book”. Permitted materials include calculator, course/lecture notes, and lab notes.

## Required Resources

No required textbook (see below for recommended textbook)

Recommended Textbook (NOT required)

Keppel, G., & Zedeck, S. (1989). Data analysis for research designs: Analysis of variance and multiple regression/correlation approaches. W H Freeman/Times Books/ Henry Holt & Co.

Recommended student system requirements

ANU courses commonly use a number of online resources and activities including:

• video material, similar to YouTube, for lectures and other instruction
• two-way video conferencing for interactive learning
• email and other messaging tools for communication
• interactive web apps for formative and collaborative activities
• print and photo/scan for handwritten work
• home-based assessment.

To fully participate in ANU learning, students need:

• A computer or laptop. Mobile devices may work well but in some situations a computer/laptop may be more appropriate.
• Webcam
• Speakers and a microphone (e.g. headset)
• Reliable, stable internet connection. Broadband recommended. If using a mobile network or wi-fi then check performance is adequate.
• Suitable location with minimal interruptions and adequate privacy for classes and assessments.
• Printing, and photo/scanning equipment

## Staff Feedback

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

Feedback and grades on both the JASP Assignment and the Conceptual Assignment.

## 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.

## Class Schedule

Week/Session Summary of Activities Assessment
1 Lecture 1: Introduction and basic concepts No labs
2 Lecture 2: One-way between-participants designs: ANOVALab 1: Basic concepts in statistical analysis Lab 1
3 Lecture 3: One-way between-participants designs: RegressionLab 2: One-way between-participants designs Lab 2
4 Lecture 4: Multi-factor between-participants designs: ANOVA No labs
5 Lecture 5: Multi-factor between-participants designs: RegressionLab 3: Multi-factor between-participants designs Lab 3
6 Lecture 6: Follow-up analyses for ANOVA: Simple effectsLab 4: Between-participants designs in JASP Lab 4
7 Lecture 7: Follow-up analyses for ANOVA: Simple slopes No labs
8 Lecture 8: Repeated-measures and mixed designs: ANOVA No labs
9 Lecture 9: Repeated-measures and mixed designs: RegressionLab 5: Follow-up analyses for between-participants designs Lab 5
10 Lecture 10: Designs with continuous predictors: ANCOVALab 6: Repeated-measures and mixed designs Lab 6
11 Lecture 11: Designs with continuous predictors: RegressionLab 7: Designs with continuous predictors Lab 7
12 Lecture 12: ReviewLab 8: Repeated-measures and continuous predictor designs in JASP Lab 8

## Tutorial Registration

ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.

## Assessment Summary

Assessment task Value Due Date Learning Outcomes
JASP Assignment 30 % 29/04/2024 1,2,3,4
Conceptual Assignment 40 % 23/05/2024 1,2,4
Final exam 30 % * 1,2,3,5

* 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 ANU Online website Students may choose not to submit assessment items through Turnitin. In this instance you will be required to submit, alongside the assessment item itself, hard copies of all references included in the assessment item.

## 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

### Lab Participation

Lab participation and completion of in-class lab exercises is crucial to successful completion of PSYC3018. Lab classes are designed to provide both conceptual understanding of, and practical skills in, the techniques covered in the course.

## Examination(s)

Please note, that where a date range is used in the Assessment Summary in relation to exams, the due date and return date indicate the approximate timeframe in which the exam will be held and results returned to the student (official end of Semester results released on ISIS). Students should consult the course wattle site and the ANU final examination timetable to confirm the date, time and venue of the exam.

Value: 30 %
Due Date: 29/04/2024
Learning Outcomes: 1,2,3,4

JASP Assignment

Students will be given a dataset and will be asked to analyse the dataset using JASP. Students will be asked to record each step of the JASP procedure and explain why they have taken each step. Students will then be asked to write up the results in an APA style Results section.

Probable word limit: 1500 words

Value:30

Value: 40 %
Due Date: 23/05/2024
Learning Outcomes: 1,2,4

Conceptual Assignment

Students will be asked to analyse a dataset by hand using both ANOVA and MRC approaches, and, for each step, explain why they have chosen to take that step. Students will then be asked to explain the way in which each ANOVA step corresponds to each MRC step.

Probable word limit: 2000 words

Value:40

Value: 30 %
Learning Outcomes: 1,2,3,5

Final exam

The final exam will assess understanding of all course content, including both lecture and lab content. The final exam will be held in the formal exam period and in person.

The final exam is a hurdle requirement. A Pass mark (50% or greater) is required in the final exam before the course can be passed as a whole.

Please check the ANU final Examination Timetable http://www.anu.edu.au/students/program-administration/assessments-exams/examination-timetable to confirm the date and time.

Value: 30

## Online Submission

The ANU uses 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. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

## 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

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

The JASP Assignment and the Conceptual Assignment will be returned to students with feedback. This will usually happen within 3 weeks of submission, but circumstances may arise that will delay the returning of assignments to students.

The Final Exam will not be returned to students, but students will have the opportunity to contact the course convenor to go over their exam with the Course Convener, if they so choose.

## Extensions and Penalties

Extensions and late submission of assessment pieces are covered by the Student Assessment (Coursework) Policy and Procedure The Course Convener may grant extensions 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

Assignments for this course cannot be resubmitted. The final copy that students submit through Turnitin - for both the JASP Assignment and the Conceptual Assignment - is considered final once the due date for that assignment has passed (or once an extended due date granted to a student, as detailed above, has passed).

## Privacy Notice

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).

## Convener

 Dr Daniel Skorich U4035681@anu.edu.au

 Sunday

## Instructor

 Dr Daniel Skorich Daniel.Skorich@anu.edu.au

 Sunday