# Quantitative Analysis with SPSS

QUANTITATIVE ANALYSIS WITH SPSS

### Registration

ظرفیت این دوره تکمیل شده است. جهت قرار گیری نام شما در لیست رزرو و حضور در دوره (در صورت کنسلی از سمت شرکت کنندگان) لطفاً با ما تماس بگیرید.

1.

### COURSE START DATE:

Wednesday, February 26, 2020 (Esfand 7, 1399)

Course Description: This course covers statistical techniques associated with analyzing experimental and quasi-experimental designs.

Course Overview: The purpose of this course is to prepare you to be proficient in using SPSS in different statistical analyses such as t-test, ANOVA, and correlation. The course emphasizes the practical application of knowledge and skills that will enable you to conduct rigorous and statistically sound analyses.

Course Objectives:  With the successful completion of this course, the researcher will have the skills to:

1. Integrate the basics of statistics with its practices in working with SPSS
2. Understand the appropriate use of between-groups and repeated measures t-test and ANOVA
3. Analyze and interpret interaction effects

4. Correlation-based techniques

5. Creating datasets for questionnaires and preparing questionnaire-based statistics

Course Schedule

 Session1 -Introduction to the course -Understanding the basics of statistics -Defining variables and statistical designs Week  2 -Creating data file, entering data, and defining variables  in SPSS -Descriptive Statistics -Presenting the data graphically Week  3 -Comparing two means: Conducting independent t-test -How to write the statistical reports and interpret the findings Week  4 -Comparing two means in one group: Conducting  dependent t-test -Repeated measures designs Week  5 -Comparing several means I: ANOVA (GLM)(One- way analysis of variance) -The basics, data structure, and its statistical assumptions Week  6 -Comparing several means II: ANOVA (GLM)(two-way analysis of variance) -Interaction effects of two categorical variables Week  7 -Repeated measures designs I (GLM4) -One-way repeated measures ANOVA -The basics, data structure, and its statistical assumptions -How to write the statistical reports and interpret the findings Week  8 -Correlation in L2 Research -Defining variables and variance accounted for -Introduction to reliability analysis of questionnaires Week  9 -Creating datasets of questionnaires -Calculating the internal consistency of scales -Descriptive statistics of items Week 10 Review