concerns will be reviewed alongside statistical methods in order to ensure that ...
Fundamental Statistics for the Behavioral Sciences (8th. Edition). Wadsworth ...
PSYC 2060B - Research and Quantitative Methods in Psychology Department of Psychology The University of Hong Kong Lectures: Tuesdays & Thursdays 12:30 – 13:20, CPD2.58 Instructor: Office: Email: Office hours:
Dr Dorita Chang JCT658
[email protected] By appointment
Tutor/Coordinator: Office: Email: Office hours: Tutorial(s):
Mr Lance Wong JCT617
[email protected] Thur 430pm to 530pm or by appointment Tue 330pm; 430pm; Thur 1030am
Tutor: Office: Email: Office hours: Tutorial(s):
Mr Ruibin Zhang JCT654
[email protected] Wed 1230pm to 130pm Tue 930am; 1030am
Course Description This course covers research and quantitative methods in psychology, building on skills learned in the introductory classes to cover more advanced quantitative methods commonly used in Psychology. Research designs, along with associated ethical and methodological concerns will be reviewed alongside statistical methods in order to ensure that students become intelligent consumers of research findings, and are prepared to conduct their own independent empirical research. Learning Objectives - To be able to identify and apply the appropriate statistical analyses to different research questions. - To be able to interpret, and report results of statistical analyses commonly used in psychology. - To develop an ability to critically evaluate psychological research from a methodological and statistical perspective. - To understand the strengths and weaknesses of different research designs (e.g., experiments, quasi-experiments, surveys) in consideration of both methodological and ethical issues. Textbook Howell, D.C. (2014). Fundamental Statistics for the Behavioral Sciences (8th Edition). Wadsworth, Cengage Learning.
For those not familiar with using SPSS, a useful reference text is listed below: Kirkpatrick, L.A., Feeney, B. C. (2015). A Simple Guide to IBM SPSS for Version 22.0. Cengage Learning. Computer Resources Lecture slides will be made available on Moodle. We will use SPSS for statistical analyses. Assessment Participation/Tutorials Homework Homework Assignments Final Integrated Assignment Mid-term quiz Final quiz
10% 30% 10% 15% 35%
Quizzes There will be one mid-term quiz (Mar 17) and one comprehensive final quiz (May 5). The quiz materials MUST be returned. Leaving the testing room with quiz materials will be viewed as academic dishonesty. No make-up quizzes will be permitted. In the case of a student missing a quiz due to medical reason (with a valid medical proof), his/her performance in the missed quiz will be predicted based on his/her performance in the other components of the course at the end of the semester. Academic Dishonesty Academic dishonesty will not be tolerated. Any student who engages in any form of academic dishonesty (e.g., cheating on exams, plagiarism, interfering with grading) will receive a grade of F in this course and will be reported to the Office of Student Conduct & Ethical Development for further disciplinary action. There will be no exceptions. If you are not sure what constitutes the academic offense of plagiarism, consult your Lecturer or Tutor. You may also consult the relevant HKU webpage on plagiarism at http://www.rss.hku.hk/plagiarism. Plagiarism A hardcopy and a softcopy are required for all written assignments. The softcopy will be checked for plagiarism against a database of articles, books, webpages, and essays submitted by students at HKU and other universities. No credit will be given for an assignment that contains plagiarized materials. Further penalties will also be applied. These penalties include a zero mark for participation in course tutorials and a zero mark for the course. Plagiarism will also be reported to your Faculty for consideration of possible disciplinary action. Assignment Submissions No late assignments will be accepted, unless a valid medical proof (medical certificate) is presented. Assignments are due at the start of the lecture on the day of the deadline. Each assignment submission should be accompanied by a title page with the course code, instructor’s name, your name, UID, and tutorial session written clearly.
WK
DATE
CONTENTS
1
Jan 19 Jan 21
Introduction Research Design and Methods; Displaying Data: A quick review Review of basic descriptive statistics, central tendency, variability, the normal distribution
2 3 4 5
Jan 26 Jan 28 Feb 2 Feb 4 Feb 9 Feb 11 Feb 16
READINGS
7
8 9 10 11 12 13 14 15 16
ASSIGNMENT DUE
Assignment 1
Chapter 3 Chapters 4-6
Hypothesis Testing (one sample, two related samples, two independent samples) No class (Lunar new year)
Chapters 8, 12-14
Correlation, Simple Linear Regression
Chapters 9, 10
1. Hypothesis tests; t-tests (Feb 16, 18)
Feb 23 Feb 25 Mar 1
Multiple Regression; Intro to Mediation/Moderation Chi-square
Chapter 11
2. Correlation; Linear Regression (Feb 23, 25) 3. Multiple Regression (Mar 1, 3)
Mar 3 Mar 8 Mar 10 Mar 15 Mar 17 Mar 22 Mar 24 Mar 29 Mar 31 Apr 5 Apr 7 Apr 12 Apr 14 Apr 19 Apr 21 Apr 26 Apr 28 May 5
Review No class (Reading Week)
Feb 18 6
TUTORIAL
Chapter 19
No class (Study, study, study!) Mid-term Quiz (12:30 – 13:20; Venue: CPD2.58 & CPD LG.18) Analysis of Variance – one-way Chapter 16
4. Chi-square (Mar 22, 24)
Analysis of Variance – factorial
5. ANOVA I (Mar 29, 31)
Chapter 17
Assignment 2
Assignment 3
Assignment 4 Analysis of Variance – repeated-measures
Chapter 18
6. ANOVA II (Apr 5, 7)
Statistical Power; Nonparametric Considerations Research Ethics and Applications Review No class (Study, study, study!)
Chapters 15, 20
7. ANOVA III (Apr 12, 14)
Final Quiz (12:30 – 14:20; Venue: CPD2.16 & CPD2.19)
Note: The schedule, readings, and assignments are subject to change. Any changes will be announced in class.
Assignment 5
Final Assignment
