Statistical Analysis Using SPSS
Master All Types of Statistical Analyses
What you'll learn
- Understand SPSS basics
- Learn descriptive analysis
- Use graphical representations
- Conduct ANOVA tests
- Handle missing values
- Input multiple response data
About this course
The SPSS statistical analysis program is one of the most popular tools used by researchers for statistical analysis across various fields, including administrative, social, engineering, agriculture, and marketing sciences. SPSS allows researchers to input data collected from surveys, interviews, or observations and analyze it using tailored tools and menus that facilitate precise and clear result extraction. The program is known for its flexibility and ease of use, making it suitable for both beginners and professionals. SPSS offers advanced capabilities for statistical data analysis, such as descriptive tests, regression, and variance analysis. In this course, you will learn how to use the program from the ground up, including data entry, conducting analyses, and extracting statistical reports to analyze your data efficiently and professionally.
Expected outcomes
- Ability to perform statistical analysis using SPSS confidently.
- Understanding how to input and analyze data professionally.
- Mastering the use of various tools in SPSS for data analysis.
- Handling missing values and importing data from other sources.
- Analyzing data using different statistical tests.
Course content
1Statistical Analysis Using SPSS
57 lectures
- Course description4:16
- Types of variables20:35
- Introduction to SPSS Main Menus10:34
- Introduction to SPSS Toolbar16:13
- Importing Data into SPSS5:43
- Creating a New Variable in SPSS17:18
- Entering Data into SPSS9:25
- Descriptive analysis of a qualitative variable14:43
- Descriptive analysis of a quantitative variable6:12
- Graphs of Qualitative Variable8:42
- Graphs of Quantitative Variable5:59
- Different Graphs - Exercises21:34
- Test of Normal Distribution10:07
- Chi-Square Test10:40
- Two Sample Independent T-Test9:52
- One way ANOVA19:58
- One sample t- test6:14
- Paired t- test7:54
- Compare means8:55
- Pearson correlation8:01
- Spearman correlation8:32
- Kendall's Tou6:18
- Simple linear regression8:07
- Assumptions of multiple linear regression12:09
- Multiple linear regression8:24
- Assumptions of Logistic regression12:00
- Logistic regression12:44
- ODDS ratio in logistic regression14:59
- Multinomial logistic regression21:01
- Curve estimation12:53
- Nonlinear regression16:55
- Parametric and nonparametric tests11:27
- Mann Whitney U-test10:16
- Kruskal Wallis H test9:15
- Wilcoxon signed rank test4:17
- Kolmogorov Semirnov test - test for normality3:28
- Sign test5:41
- Using the compute command to calculate a new variable9:30
- Using important statistics functions from the compute command6:53
- Using important Arithmetic functions from the compute command6:04
- Using the recode into different variable property to recode the variable into a new variable9:51
- Using the recode into different variable property to recode reverse variables10:26
- Using the recode into different variable property with if6:00
- Using the recode into same variable property8:17
- Using the split file property7:32
- Using the select cases property8:17
- Using the sort and rank cases properties7:20
- Using the Weight cases property8:26
- Entry of multiple response questions5:42
- Multiple response analysis6:55
- Pattern of missing data10:10
- Coding of missing values10:19
- Analysis of missing values using EM8:05
- Replacing missing values9:13
- Importing data from Microsoft Excel to SPSS (Part 1)25:42
- Importing Data from Microsoft Excel to SPSS (Part Two)19:40
- Importing Data from Google Forms to SPSS via Excel7:06
2Attachments
2 attachments
- Downloading Training Files
- Downloading Resource Files
3The Book
1 attachments
- Downloading the Comprehensive Guide to Statistical Analysis Using SPSS
Instructor
Dr. Samira Abu Radi
This course is part of the diploma
