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Dr Jackson Home 
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Welcome to Applied Research Methods in Psychology. From this page you can access all the information you will need to complete the course. Links are available to course lecture templates, selected lecture notes, readings, learning objectives, and instructor contact information. I hope you enjoy the course. Jeremy Jackson
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The Course Syllabus......
Instructor
Jeremy Jackson
|     January 4, 2022
Location:
Online
|     New Westminster
Thomas Edison: "Hell, there are no rules here - we're trying to accomplish something"

Instructor Contact Information

Email: Use the "Mail" function in the main menu on Blackboard.

Email Availability: Please ask substantive questions on Blackboard. Email me for emergencies or issues that can not be adressed on the discussion board in Blackboard.

Office hours: Available on Blackboard between Tuesday 9 am and Thursday 5 pm.

Office number: Blackboard.

Classroom: Online

Email Requirements : All emails should include: 1) Your name, student number and the number of the course you are enrolled in, 2) A salutation such as "Hello Dr Jackson....", 3) An appropriate ending to the email thanking the person for their time in considering your request. For emails about grades, consult this.

 

Course Description

The purpose of this course is to teach students with basic knowledge of statistics to analyze data using two popular statistical software packages. Students will gain sufficient familiarity with Excel and SPSS to conduct univariate, bivariate and multivariate data analyses, estimate population parameters, fit basic linear models and conduct hypotheses tests on experimental data. Many forms of data management including data entry, auditing, imputation, coding, recoding, and transformation will also be covered. By the end of the course, students should be able to conduct an analysis of data generated in a survey or experiment and give a presentation of the results of the analysis.

In addition to covering practical issues faced in the analysis of data, the course also covers basic issues in hypothesis testing and psychological measurement that are not usually addressed in undergraduate statistics courses.

 

How Does The Course Work: WATCH THIS VIDEO FIRST

In the course there will be 1 midterm exam worth 15% of the course grade and 1 final exam worth 25% of the course grade. Students will have 70 minutes ON BLACKBOARD to complete each exam. The exams will consist of multiple choice questions.

All exams are to be completed Online. ONLY MEDICAL extensions are accepted for exams. Supporting medical documentation must be provided for a missed exam.

There are 8 analysis exercises/assignments in the course. Pecentages for each assignment/exercise are given in the syllabus below.

Exrecises require the student to do an analysis and then report their results and engage in discussion with other students on the exercises discussion forum on Blackboard. Find the discussin board in the "main menu" in our course on Blackboard.

Assignments require students to complete an analysis of data and hand in results to the instrutor on Blackboard. Use the "Assignments" item in the main menu in our course on Blackboard to hand in your assignment.

There is also a video to watch called "The Rules". There is a 10 question multiple choice quiz on this video. A 2.5% bonus mark will be given for this test.

Finally, there is also a video called "How The Course Works" here that should be watched as a guide to helping you navigate through the course and understand what will be expected of you in the course. There is a 10 question multiple choice quiz on this video as well.

Week 1 - Jan 4th

Introduction to the course. Description of course software/materials for the course. Introduction to the course objectives and subject matter.

Watch these videos: How The Course Works, The Rules.

The "How the Course Works" and "The Rules"quiz. Complete on Blackboard before the end of week 2 of the course. 2.5% bonus for "The Rules" quiz.

Week 2 - Jan 10th

Lectures: Lecture 1

Powerpoint: Powerpoint lecture 1

Exercise: Exercise 1, Exercise 1 Dealing With Dates

Exercise 1 due between Tuesday Jan 18th and Friday Jan 21st. Complete on the "Exercises" discussion board on Blackboard. 7.5% of course grade.

Week 3 - Jan 17th

Lectures: Lecture 2: Part 1, Lecture 2: Part 2

Powerpoint: Powerpoint lecture 2

Exercise: Assignment 1

Assignment 1 due Sunday Jan 30th. Hand in on the "Assignments" menu item in the main menu on Blackboard. 5% of the course grade.

Week 4 - Jan 24th

Lectures: Lecture 3: Part 1, Lecture 3: Part 2

Powerpoint: Powerpoint lecture 3

Exercise: Exercise 2, Data File: Annual_data

Exercise 2 due between Tuesday Feb 1st and Friday Feb 4th. Complete on the "Exercises" discussion board on Blackboard. 7.5% of the course grade.

Week 5 - Jan 31st

Lectures: Lecture 4, Data Quality

Powerpoint: Powerpoint lecture 4

Exercise: Assignment 2, Data File: Annual_data

Assignment 2 due Tuesday Feb 8th. Hand in on the "Assignments" menu item in the main menu on Blackboard. 5% of the course grade.

Week 6 - Febuary 7th

Lectures: Lecture 5: Part 1, Lecture 5: Part 2, Confidence intervals in spss, Sampling Methods

Powerpoint: Powerpoint lecture 5

Exercise: Assignment 3

Assignment 3 due Tuesday Feb 15th. Hand in on the "Assignments" menu item in the main menu on Blackboard. 5% of the course grade.

First Exam - 30 multiple choice. To be written on Thursday Febuary 10th between 11 a.m. and 7 pm.

Week 7 - Febuary 14th

Basic concepts in distance and multiple regression.

Lectures: Lecture 6, Reflections on Models and Model Error

Powerpoint: Powerpoint lecture 6

Exercise: Exercise 3, Spss Gini Data, Excel Gini Data

Exercise 3 due between Tuesday Mar 1st and Friday Mar 4th. Complete on the "Exercises" discussion board on Blackboard. 7.5% of the course grade.

Week 8 - Feb 21st

SPRING BREAK: NO CLASS

Week 9- Feb 28th

Distance again and Principal components analysis.

Lectures: Lecture 7

Powerpoint: Powerpoint lecture 7, Lecture 7 videos

Exercise: Exercise 4

Exercise 4 due between Tuesday Mar 8th and Friday Mar 11th. Complete on the "Exercises" discussion board on Blackboard. 7.5% of the course grade.

Week10 - Mar 7th

Basic concepts in measurement.

Lectures: Lecture 8: part 1, Lecture 8: part 2, Measurement in SPSS

Powerpoint: Lecture 8, Assignment 4

Exercise/Assignment: None

Week 11 - Mar 14th

Hypothesis testing in SPSS for within and betwen subjects cases with 1 IV and 1 DV (One-Way ANOVA). Planned comparisons (the only kind there should be). SPSS for within and between subjects two-way ANOVA.

Lectures: Lecture 9

Powerpoint: N/A

Exercise/Assignment: None

Week 12 - Mar 21st

Second/Final Exam - 30 multiple choice. To be written on Thursday Mar 24th between 11 a.m. and 7 p.m.

Week 13 - Mar 28th

Lectures: How To Analyze a Data File: Part 1, How To Analyze a Data File: Part 2, How to Analyze a Data File: Part 3, How to Analyze a Data File: Part 4

 

Week 14 - April 4th

Assignment 4 due Friday, April 8th. Hand in on the "Assignments" menu item in the main menu on Blackboard. 15% of the course grade.

Academic Dishonesty - Plagiarism & Cheating

Cheating , which includes plagiarism, occurs where a student or group of students uses or attempts to use unauthorized aids, assistance, materials or methods. Cheating is a serious educational offense.

Plagiarism occurs where the student represents the work of another person as his or her own. Douglas College condemns all forms of cheating.

The college will discipline students found to be cheating. Discipline may include:

1. a grade of zero may be awarded for the affected assignment, test, paper, analysis, etc.;

2. a failing grade may be assigned in the affected course;

3. referral to the College President for the assignment of discipline, which may include suspension from the college.

Test Policy

All tests are to be completed ONLINE. ONLY MEDICAL extensions given prior to the assessment are accepted for quizzes, exercises and assignments. Supporting medical documentation must be provided for a missed quiz.

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