Psychology 2851B 001 FW24

Statistics for Psychology II

If there is a discrepancy between the outline posted below and the outline posted on the OWL course website, the latter shall prevail.

 

Western University

London                   Canada

 

Department of Psychology

Fall/Winter 2024

 

Psychology 2851B    Section 001

 

STATISTICS FOR PSYCHOLOGY II

 

 

1     Calendar Description

 

This course expands on basic statistics with an aim at developing an understanding of the use and interpretation of statistics in more complex Psychological research designs. Topics include repeated samples testing, estimation, analysis of variance, correlation, simple linear regression and non-parametric tests.

 

Antirequisite(s):  Biology 2244A/B, Economics 2122A/B, Economics 2222A/B, Geography 2210A/B, Health Sciences 3801A/B, MOS 2242A/B, Psychology 2810, Psychology 2820E, Psychology 2830A/B, Social Work 2207A/B, Sociology 2205A/B, Statistical Sciences 2035, Statistical Sciences 2141A/B, Statistical Sciences 2143A/B, Statistical Sciences 2244A/B, Statistical Sciences 2858A/B, Statistical Sciences 2037A/B if taken prior to Fall 2010.

 

Prerequisite(s): At least 60% in Psychology 2850A/B.

 

Extra Information: 3 hours.

 

Course Weight: 0.50

 

Unless you have either the prerequisites for this course or written special permission from your Dean to enrol in it, you may be removed from this course and it will be deleted from your record. This decision may not be appealed. You will receive no adjustment to your fees in the event that you are dropped from a course for failing to have the necessary prerequisites.

 

2     Course Information

 

Instructor:        Dr. John Mitchell

Phone:             519-661-2111 x86246

Office Hours:     See Brightspace for details

Email:               jbmitche@uwo.ca

 

Teaching Assistant:   TBA

Office:                               TBA

Office Hours:                 TBA

Email:                               TBA

 

Time and Location of Classes: in-person course  See Student Timetable for times and location

                                                                

 

3     Course Materials

 

We will use the software package Jamovi.  You will need the Jamovi application, and

Navarro, D.J. & Foxcroft, D.R. (2022). Learning statistics with Jamovi: A tutorial for psychology students and other beginners. (Version 0.75). DOI: 10.24384/hgc3-7p15.

The Jamovi User Manual (The Jamovi Project, 2020) and Jamovi Quickstart Guide (Rafi, J., 2020) are both highly recommended.

Course Material Downloads (all are free downloads):

Required

Jamovi statistical software package

https://www.jamovi.org/download.html

Learning Statistics with Jamovi

http://learnstatswithjamovi.com

Recommended

The Jamovi Quickstart Guide

https://www.jamoviguide.com/

Jamovi User Manual

https://docs.jamovi.org/

 You may also find the textbook from Psychology 2850A/B useful, but it is not required.

 

4     Course Objectives and Learning Outcomes

 

Learning Outcome

Learning Activity

Assessment

Depth and Breadth of Knowledge

·       Understand the logic behind hypothesis testing

·       Understand how to use of statistical software such as Jamovi

Lectures, in-class practice, readings, assignments

Assignments, exams

Knowledge of Methodologies

  • Calculate and correctly interpret statistical analyses including t-tests, analysis of variance, correlation, regression and non-parametric tests

Lectures, in-class practice, readings, assignments

Assignments, exams

Application of Knowledge

·       Perform appropriate statistical analyses for a variety of data sets including t-tests, analysis of variance, correlation, regression and non-parametric tests;

·       Be able to correctly interpret the results of statistics tests to support conclusions based on the research design, type of data and statistic used

Lectures, in-class practice, readings, assignments

Assignments, exams

Communication Skills

·       Appropriately report the results of the various statistics tests covered in the course

Lectures, in-class practice, readings, assignments

Assignments, exams

 

5     Evaluation

 

Attendance                                   5%

Assignments (4 x 5%)                  20%

Test 1                                          25%

Test 2                                           25%

Test 3/Final Exam                          25%

 

Attendance

It is important that you attend class. Attendance is worth 5% of your course mark. There may be circumstances that prevent attendance at one or two classes, so occasional absences are understandable. However, missing more than three classes without valid academic accommodation will result in a loss of ½ attendance mark (out of 5) for each class missed.

Assignments

Twenty percent (20%) of your course grade comes from a series of short assignments. There are five assignments, and you need to submit four out of the five. It is your choice which four you submit. If you submit all five, the marks from your best four will be used to calculate your total assignment mark to be included in your course grade. Assignments are marked out of 20 or 25, but all contribute the same to your final course grade. Whether marked out of 20 or 25, each assignment is worth 5% of your course mark.

Assignments will usually involve working out a statistical problem and providing a concise written interpretation and/or graphic presentation of the results of the analysis. Detailed instructions will accompany the assignments.

It is important that you keep up with the course outline. It is also important that you do the assignments and in-class practice exercises: The only way to learn statistics is to do statistics.

Assignments are due by 5:00 pm on the due date. Due dates for all assignments are 2 days after we have completed that topic in class.

Late Assignments: There is a per day penalty for assignments submitted late. The late penalty is 1 mark out of 5 per day late, excluding weekends. Assignments submitted after 5:00 pm on the due date will be considered late and the late penalty will be applied. Assignments that are 4 or more days late will not be marked and will be given a grade of 0.

 

Topic

Due Date

1

Independent Samples t-test

Jan. 30

2

One-way ANOVA

Feb. 13

3

Factorial ANOVA

Mar. 6

4

Confidence Intervals

Mar. 13

5

Correlation and Regression

Mar. 29

 

This course divides naturally into three sections: the t distribution and t-statistic, Analysis of Variance, and Correlation and Regression. There will be a test for each of the three sections. 

Test 1, the t-test: Scheduled for February 6. Test 1 will cover hypothesis testing with the t-test, material from Chapters 9 and 11 from Navarro and Foxcroft, (2022), and the corresponding classes. Test 1 contributes 25% to your final course mark.

Test 2, Analysis of Variance: Scheduled for March 6. Test 2 will cover the Analysis of Variance (ANOVA). This is material from Chapters 13 and 14 from Navarro and Foxcroft, (2022), and the corresponding classes. Test 2 contributes 25% to your final course mark.

Test 3/Final Examination, Confidence Intervals, Correlation and Regression, Chi-Square: although a final examination because it is held during the final examination period, this is really a third test. Test 3/Final Exam will be based on Chapters 10 and 12 Navarro and Foxcroft, (2022), and the corresponding classes. The time and date for Test 3/Final Exam is scheduled by the Registrar’s Office. Test 3/Final Exam contributes 25% to your final course mark.

The term tests and final exam will have multiple choice and short answer questions. For some questions you will be provided with Jamovi output and be asked to answer questions based on that output.

 

Policy on Missing Coursework

 

Exams must be written on the scheduled dates unless you have a legitimate documented reason approved by your home faculty’s academic counselling office or Accessible Education. A student who misses a scheduled test/exam who does not have university approval for the absence will be assigned a mark of 0 for that test/exam. Students who have university approval to miss a test or the final exam will be provided one opportunity for a makeup test/exam. If the makeup is missed due to a further accommodation students may take that exam the next time the course is offered.

 

You need to complete four out of five assignments and your best four count if you complete all five; hence these assignments include flexibility and no further accommodations are available for the assignments.  Late assignments will be assessed a late penalty of 1 mark for each day late, counting from the day and time that the assignment is due.  For example, an assignment submitted between 5:01 pm on the due date until 5:00 pm the next day will be assessed a one mark out of five late penalty. An assignment submitted during the following 24 hours will be assessed a two mark late penalty, and so on.

 

The Psychology Department follows Western’s grading guidelines:  https://www.uwo.ca/univsec/pdf/academic_policies/general/grades_undergrad.pdf

 

The expectation for course grades within the Psychology Department is that they will be distributed around the following averages:

 

70%     1000-level to 2099-level courses

72%     2100-2999-level courses

75%     3000-level courses

80%     4000-level courses

 

In the event that course grades are significantly higher or lower than these averages, instructors may be required to make adjustments to course grades. Such adjustment might include the normalization of one or more course components and/or the re-weighting of various course components.

 

Policy on Grade Rounding

 

Please note that although course grades within the Psychology Department are rounded to the nearest whole number, no further grade rounding will be done. No additional assignments will be offered to enhance a final grade; nor will requests to change a grade because it is needed for a future program be considered.

 

6     Assessment/Evaluation Schedule

 

Component

Weight

Date

Attendance

5%

All Term after Add/Drop

Assignments (4 x 5%)1

20%

1.   Independent Samples t-test

 

Jan. 30

2.   One-way ANOVA

 

Feb. 13

3.   Factorial ANOVA

 

Mar. 6

4.   Confidence Intervals

 

Mar. 13

5.   Correlation and Regression

 

Mar. 29

Test 1

25%

Feb. 6

Test 2

25%

Mar. 6

Test 3/Final Exam

25%

Exam Period

1 Best 4 out of 5 count toward course grade.

 

7     Class Schedule

 

Date

Topic

Readings2

Jan. 7

Opening Class, Review of Hypothesis Testing

9

9. 14

Review of Hypothesis Testing,

Introduction to Jamovi

9

3

16. 21

The One Sample t-test

11

23, 28

Comparing Two Means: the t-test

11

Feb. 4

Comparing Multiple Means: One-way ANOVA

13

6

Test 1

11, 13

Comparing Multiple Means: One-way ANOVA

Comparing Multiple Means: Repeated Measures ANOVA

13

18, 20

Reading Week

-

25

Comparing Multiple Means: Repeated Measures ANOVA

13

27

Comparing Multiple Means: Factorial ANOVA

14

Mar. 4

Comparing Multiple Means: Factorial ANOVA

14

6

Test 2

11, 13

Confidence Intervals

Correlation

8.5

12

18, 20

Correlation

12

25, 27

Regression

12

Apr. 1, 3

Chi-square and Non-parametric Statistics

10

2Readings are from Learning Statistics with Jamovi by Navarro and Foxcroft (2022). 

Topics will be covered in the order given above. In some instance, the topic may extend to the following class.

8     Academic Integrity

 

Scholastic offences are taken seriously, and students are directed to read the appropriate policy, specifically, the definition of what constitutes a Scholastic Offence, at the following Web site: https://www.uwo.ca/univsec/pdf/academic_policies/appeals/scholastic_discipline_undergrad.pdf.

 

Possible penalties for a scholastic offence include failure of the assignment/exam, failure of the course, suspension from the University, and expulsion from the University.

 

Statement on Use of Electronic Devices

 

You need a computer to use Jamovi. System requirements are modest so Jamovi should run on any laptop or desktop, whether Windows, Mac OS, Linux, or Chromebook. Bring your laptop, with Jamovi, to all regular classes (i.e., not to classes with a test).

 

Plagiarism Detection Software

 

All required papers may be subject to submission for textual similarity review to the commercial plagiarism detection software under license to the University for the detection of plagiarism.  All papers submitted for such checking will be included as source documents in the reference database for the purpose of detecting plagiarism of papers subsequently submitted to the system. Use of the service is subject to the licensing agreement, currently between Western and Turnitin.com.

 

Use of AI

 

The use of generative AI tools such as ChatGPT to produce written work is not permitted unless permission is granted by the instructor for specific circumstances. Any work submitted must be the work of the student in its entirety unless otherwise disclosed. When used, AI tools should be used ethically and responsibly, and students must cite or credit the tools used in line with the expectation to use AI as a tool to learn, not to produce content.

 

Multiple Choice Exams

 

Computer-marked multiple-choice tests and/or exams will be subject to submission for similarity review by software that will check for unusual coincidences in answer patterns that may indicate cheating.

 

9     Academic Accommodations and Accessible Education

 

View Western’s policy on academic accommodations for student with disabilities at this link.

 

Accessible Education provides supports and services to students with disabilities at Western.

If you think you may qualify for ongoing accommodation that will be recognized in all your courses, visit Accessible Education for more information.  Email: aew@uwo.ca  Phone: 519 661-2147

 

10  Absence & Academic Consideration

 

View Western’s policy on academic consideration for medical illnesses this link

 

Find your academic counsellor here: https://www.registrar.uwo.ca/faculty_academic_counselling.html

 

Students must see the Academic Counsellor and submit all required documentation in order to be approved for certain academic considerations. Students must communicate with their instructors no later than 24 hours after the end of the period covered SMC, or immediately upon their return following a documented absence.

 

Medical Absences

 

Submit a Student Medical Certificate (SMC) signed by a licensed medical or mental health practitioner to Academic Counselling in your Faculty of registration to be eligible for Academic Consideration.

 

Nonmedical Absences

 

Submit appropriate documentation (e.g., obituary, police report, accident report, court order, etc.) to Academic Counselling in your Faculty of registration to be eligible for academic consideration. Students are encouraged to contact their Academic Counselling unit to clarify what documentation is appropriate.

 

Religious Consideration

 

Students seeking accommodation for religious purposes are advised to contact Academic Counselling at least three weeks prior to the religious event and as soon as possible after the start of the term.

 

11  Other Information

 

 

Students who are in emotional/mental distress should refer to Health and Wellness@Western https://www.uwo.ca/health/ for a complete list of options about how to obtain help.

Please contact the course instructor if you require material in an alternate format or if you require any other arrangements to make this course more accessible to you.

 

If you wish to appeal a grade, please read the policy documentation at: https://www.uwo.ca/univsec/pdf/academic_policies/appeals/appealsundergrad.pdf. Please first contact the course instructor. If your issue is not resolved, you may make your appeal in writing to the Undergraduate Chair in Psychology (psyugrd@uwo.ca).

 

Copyright Statement

 

Lectures and course materials, including power point presentations, outlines, videos and similar materials, are protected by copyright. You may take notes and make copies of course materials for your own educational use. You may not record lectures, reproduce (or allow others to reproduce), post or distribute any course materials publicly and/or for commercial purposes without the instructor’s written consent.

 

 

12  Land Acknowledgement

 

We acknowledge that Western University is located on the traditional territories of the Anishinaabek, Haudenosaunee, Lūnaapéewak, and Chonnonton. Nations, on lands connected with the London Township and Sombra Treaties of 1796 and the Dish with One Spoon Covenant Wampum. This land continues to be home to diverse Indigenous Peoples (First Nations, Métis and Inuit) whom we recognize as contemporary stewards of the land and vital contributors of our society.