• Class Number 4101
  • Term Code 3030
  • Class Info
  • Unit Value 6 units
  • Mode of Delivery In Person
  • COURSE CONVENER
    • Dr Yiyun Shou
  • LECTURER
    • Seamus Donnelly
    • Dr Yiyun Shou
  • 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

A consolidation and extension of the methods and analysis techniques introduced in PSYC2009. Topics include the measurement of psychological constructs, experiments and survey designs; analysis of variance for one- and two-way between- and within-subjects designs, planned and post-hoc contrasts, integration of ANOVA and regression as an introduction to the general linear model, searching and analysing the psychological literature, using SPSS ANOVA and Regression models to analyse data, reporting analyses. Examples are extrapolated from published studies in the psychological literature. The course will be taught at a level appropriate for intending honours students.

This is an Honours Pathway Course.

Learning Outcomes

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

  1. Knowledge and Understanding of the application of statistics within Psychology
  2. Critical Thinking Skills in Psychological research
  3. Knowledge and Understanding of research methods within Psychology
  4. Communication Skills in statistics and research methods in Psychology

Examination Material or equipment

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

Required Resources

Textbook:

David C. Howell, Statistical Methods for Psychology, 8th Edition. ISBN-13: 9780495597841 ISBN-10: 0495597848. (Available at the ANU book shop). 

* You can also use the 7th edition. The 8th edition is a better edition in general, but the relevant material that we cover in the course is similar in both editions.

Lecture notes will be made available on Wattle. 

Staff Feedback

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

• Weekly marked lab exercises

• Mid-semester exam results 

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

Please note, that where there are multiple assessment tasks of the same type, e.g weekly quizzes, a date range is used in the Assessment Summary. The first date is the approximate due date of the first task, the return date is the approximate return date for the final task. Further information is provided in the assessment section of the class summary, and details are provided on the course wattle site.

Class Schedule

Week/Session Summary of Activities Assessment
1 Self paced learning online modules: 1: Major points and terminology 2: The Normal distribution 3: Distributions and testing On-campus lecture: Course introduction No Labs
2 Self paced learning online modules: 1: Major points and terminology 2: The Normal distribution 3: Distributions and testing On-campus lecture: Review modules 1-3 No Labs
3 Self paced learning online modules: 4: Distributions and testing II 5: Distributions and testing III On-campus lecture: NO LECTURE (public holiday) Lab 1: Normal distribution and describing data
4 Self paced learning online modules: 4: Distributions and testing II 5: Distributions and testing III On-campus lecture: Review modules 4-5 Lab 2: Hypothesis testing
5 Self paced learning online modules: 6: Correlation and intro to regression 7: Simple regression On-campus lecture: Review modules 6-7 Lab 3: Correlation and regression
6 Self paced learning online modules: 8: Introduction to multiple regression 9: Multiple regression in more detail On-campus lecture: Review modules 8-9 Lab 4: Multiple Regression
7 Self paced learning online modules: 10: Power 11: Simple ANOVA On-campus lecture: Review modules 10-11 NO LABS; Mid-Term exam TBA
8 Self paced learning online modules: 10: Power 11: Simple ANOVA On-campus lecture: NO LECTURE (public holiday) Lab 5: Simple ANOVA & Power
9 Self paced learning online modules: 12: Factorial ANOVA 13: Factorial ANOVA SPSS Example On-campus lecture: Review modules 12-13 Lab 6: Factorial ANOVA
10 Self paced learning online modules: 14: Post Hoc Comparisons 15: Repeated measures ANOVA On-campus lecture: Review modules 14-15 Lab 7: Repeated measures
11 Self paced learning online modules: 16: Multiple Comparisons 17: Mixed Design ANOVA On-campus lecture: Review modules 16-17 Lab 8: Planned and posthoc comparisons
12 Revision On-campus lecture: Course Revision No Labs

Tutorial Registration

 Lab sign-up via Wattle page

Assessment Summary

Assessment task Value Due Date Return of assessment Learning Outcomes
Lab quizzes 20 % * 31/05/2020 1,2,3,4
Mid-semester exam 35 % 30/03/2020 24/04/2020 1,2,3
Final exam 45 % 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 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

Laboratory Punctuality

It is expected that all students will be on time to Laboratory Classes. Students should be present in class and ready for the Lab to start at 5 minutes past the hour. The arrival of late students disrupts the class and may force the tutor to repeat content. As such, any student arriving more than 20 minutes after the commencement time for the lab will not be registered as in attendance and will forfeit their place in that lab. If you are unavoidably late you should submit a notice of laboratory absence, as per the information page on laboratory attendance.

 

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.

Assessment Task 1

Value: 20 %
Return of Assessment: 31/05/2020
Learning Outcomes: 1,2,3,4

Lab quizzes

The quizzes are completed and submitted during the labs throughout the semester. Further details can be found on the Course Wattle site.

Assessment Task 2

Value: 35 %
Due Date: 30/03/2020
Return of Assessment: 24/04/2020
Learning Outcomes: 1,2,3

Mid-semester exam

Please check the course Wattle site and the ANU Examination Timetable to confirm the date, time and location of the mid semester exam.

Assessment Task 3

Value: 45 %
Due Date: 04/06/2020
Return of Assessment: 02/07/2020
Learning Outcomes: 1,2,3

Final exam

The date range in the Assessment Summary indicates the start of the end of semester exam period and the date official end of semester results are released on ISIS. Please check the ANU final Examination Timetable http://www.anu.edu.au/students/program-administration/assessments-exams/examination-timetable to confirm the date, time and location exam.

Academic Integrity

Academic integrity is a core part of our culture as a community of scholars. At its heart, academic integrity is about behaving ethically. This means that all members of the community commit to honest and responsible scholarly practice and to upholding these values with respect and fairness. The Australian National University commits to embedding the values of academic integrity in our teaching and learning. We ensure that all members of our community 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 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 University has policies and procedures in place to promote academic integrity and manage academic misconduct. Visit the following Academic honesty & plagiarism website for more information about academic integrity and what the ANU considers academic misconduct. The ANU offers a number of services to assist students with their assignments, examinations, and other learning activities. The Academic Skills and Learning Centre offers a number of workshops and seminars that you may find useful for your studies.

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

No submission of assessment tasks without an extension after the due date will be permitted. If an assessment task is not submitted by the due date, a mark of 0 will be awarded.



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 marked quizzes will be returned during the following lab.

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

Resubmission of quizzes are not allowed.

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).
Dr Yiyun Shou
Yiyun.Shou@anu.edu.au

Research Interests


Dr Yiyun Shou

Seamus Donnelly
seamus.donnelly@anu.edu.au

Research Interests


Seamus Donnelly

Dr Yiyun Shou
yiyun.shou@anu.edu.au

Research Interests


Dr Yiyun Shou

Responsible Officer: Registrar, Student Administration / Page Contact: Website Administrator / Frequently Asked Questions