
Students will get acquainted with the project that will be followed in this course
Students will be able to define variables in SPSS
Students will be able to introduce the responses from a questionnaire in SPSS
Students will be able to import databases into SPSS
Students will be able to recode and transform variables
Students will be able to recode and compute variables in SPSS
Students will be able to perform descriptive analysis in SPSS
Students will be able to select cases and split data in SPSS
Students will be able to perform the independent samples t-test in SPSS
Students will be able to perform the independent samples ANOVA
Students will be able to perform the repeated measures t-test in SPSS
Students will be able to perform the repeated measures ANOVA
Students will be able to analyze the discriminative value of a classifier against a binary variable or a valid diagnostic.
Students will be able to perform the Pearson correlation in SPSS
Students will be able to perform the simple linear regression in SPSS
Students will be able to construct and test multiple linear regression models
Students will be able to construct optimal predictive models using the forward, the backward, and the stepwise enter methods
Students will be able to predict binary variables using the logistic regression in SPSS
Students will be able to perform the independent factorial ANOVA in SPSS
Students will be able to test ANCOVA models in SPSS
Students will be able to test mixed factorial ANOVA models in SPSS
Final remarks.
In this course, you will learn how to perform statistical data analysis with one of the best statistical software in the world, called SPSS (Statistical Package for Social Sciences).
SPSS is indeed one of the best statistical software for many fields of research, such as social sciences, business intelligence, psychology, forensic research, medical research, and many others.
This course will present you with a research project that you will follow from the primary data generated by a survey, to a large set of statistical procedures able to extract valuable information from this data.
In this journey, you will learn to perform the following procedures in SPSS: to define variables and to introduce data, to import data, to transform and recode variables, to reverse and compute variables, to perform descriptive analysis, to perform independent and repeated measures t-tests, to perform independent and repeated Analysis of Variance (ANOVA), to perform multivariate ANOVA analysis, to perform ANCOVA analysis, to perform correlations, to test simple and multiple linear regression models, to test logistic models, and all other procedures that a well-trained analyst should know.
For each presentation, there are several exercises and databases attached as downloadable resources, which you can use to consolidate your knowledge about how to use SPSS properly.
Finally, this course is an ongoing process, which means that each new week or month, there will be constantly uploaded new lectures in order to upgrade your knowledge continuously.
So, what are we waiting for? Let's go!