This course is an introductory graduate course in using quantitative methods for inquiry in Behavioral and Social Sciences. The emphasis will be upon understanding fundamental concepts and procedures of descriptive and inferential statistics, and applying and interpreting tests of statistical inference. Students will develop competence in reading and understanding statistics topics from texts, theses, journals, or technical reports.
Content will include but not be limited to: data and data files, data screening, scaling, visual representations of data, descriptive statistics, correlation and simple regression, sampling distributions, and the assumptions associated with and the application of selected inferential statistical procedures (including t-tests, chi-square, and one-way ANOVA).
This course further includes an introduction to the use and interpretation of SPSS which will be employed to assist in the analysis of data for the course. Students should have access to a computer, SPSS software, and the Internet. This access is available at Cloud Software Bank (雲端軟體銀行) on Portal CSU.
Week 1 |
Feb. 18 |
Introduction and Overview of the course and Requirements |
Week 2 |
Feb. 25 |
Introduction to Statistics and basic concepts |
Week 3 |
Mar. 4 |
Organizing and Graphing Data |
Week 4 |
Mar. 11 |
Descriptive Statistics |
Week 5 |
Mar. 18 |
The Normal Distribution |
Week 6 |
Mar. 25 |
Z Score |
Week 7 |
Apr. 1 |
Probability |
Week 8 |
Apr. 8 |
Inferential Statistics: Sampling Distributions |
Week 9 |
Apr. 15 |
Exam |
Week 10 |
Apr. 22 |
Estimation |
Week 11 |
Apr. 29 |
Hypothesis Testing |
Week 12 |
May 6 |
Comparison of groups |
Week 13 |
May 13 |
Chi-square Analysis |
Week 14 |
May 20 |
Correlation and Linear Regression |
Week 15 |
May 27 |
Item Analysis |
Week 16 |
Jun. 3 |
Factor Analysis and Reliability Analysis |
Week 17 |
Jun. 10 |
Consultation on term assignment |
Week 18 |
Jun. 17 |
Course Review |