Course Name:
Statistics for Psychology
Course ID No:
PY 102

Number of Units
5 (3 lecture units + 2 laboratory units)

Pre-requisite Course
M 102 – Elementary Statistics

Course Description
This is a course on the basic concepts and methods of inferential statistics and their use in the design, analysis, and interpretation of psychological studies.

Course Objectives
The main objective of this course is to help psychology students achieve statistical literacy. At the end of the semester, the following will be expected for each student to be considered statistically literate:
• computational facility
○ performing basic calculations manually
○ using SPSS for Windows, MS-Excel or available online programs for more advance computations
• statistical comprehension
○ selecting the most appropriate statistical procedure when presented with a particular research question or data set
○ interpreting results of statistical analysis
• appreciation of the link between research and statistics
○ as a researcher, writing results using the APA format
○ as a research consumer, critically examining results written in published journal articles.
Course Content
I. Descriptive Statistics
Brief review of lessons learned in M-102
A. Basic Concepts
B. Summarizing Data Through Tables and Graphs
C. Summarizing Data Numerically: The Measures of Central Tendency, Dispersion, Skewness and Kurtosis, z-scores and The Normal Curve
II. Inferential Statistics
A. The Logic of Inferential Statistics
1. Sampling & Probability
2. Sampling Distributions & Parameter Estimation
3. How are Hypotheses Tested?
B. Hypothesis Testing Using Parametric Tests
1. Hypothesis Testing I: Single Means
2. Hypothesis Testing II: Two Independent Means
3. Hypothesis Testing III: Two Related Means
4. Hypothesis Testing IV: Two or More Independent Means
a. Studies involving One Independent Variable
b. Studies involving Between-Subjects Factorial Design
5. Hypothesis Testing V: Two or More Related Means
a. Studies involving One Independent Variable
b. Studies involving Within-Subjects Factorial Design
6. Hypothesis Testing VI: Multiple Means from Mixed Factorial Designs
III. Measures of Association
A. Linear Correlation
B. Linear Regression
IV. Brief Introduction to Multivariate Techniques
Course Requirements
• Attendance
• Active participation in class
• Quizzes and Major Exams
Grading System
• 65% Class Average (The components of CA and their corresponding weights will be discussed in class)
• 35% Final Exams Mark

References

Gravetter, F.J. & Wallnau, L.B. (2007). Statistics for the behavioral sciences, 7th ed. Singapore: Thomson Wadsworth.
A. Online Statistics Books
○ Stefano A. DeCaro's (2003) A student's guide to the conceptual side of inferential statistics
○ David M. Lane's (2005) Hyperstat online: An introductory statistics textbook and online tutorial for help in statistics
○ Richard Lowry's (2006) Concepts and applications of inferential statistics
○ Online Statistics: A multimedia course of study
B. SPSS Tutorials
○ University of Texas at Austin's SPSS for Windows: Getting started
○ Allegheny College Psychology Department's Using SPSS
○ Universiteit Maastricht Department of Marketing's SPSS tutorials
○ Raynald Levesque's SPSS tutorials
License

This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Philippines License.

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