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Updated in [February 21st, 2023]

What does this course tell?
(Please note that the following overview content is from the original platform)

Working with SPSS: Creating a Data Entry Form in Excel.
Working with SPSS: Importing Data from Excel.
Working with SPSS: Variable and Value Labels.
Working with SPSS: One-Way Analysis of Variance (ANOVA).
Working with SPSS: Scatterplots.
Working with SPSS: Correlation Coefficients.
Correlation Probability Values.
Working with SPSS: Using Excel to Format Correlation Matrices.
Working with SPSS: Bivariate (or Simple) Regression.
Working with SPSS: Multiple Regression (The Simple Way).
Working with SPSS: Hierarchical Regression as a Quasi-Experimental Method.
What can you get from this course?
We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
What skills and knowledge will you acquire during this course?
This course will provide participants with the skills and knowledge to create a data entry form in Excel, import data from Excel, use variable and value labels, perform one-way analysis of variance (ANOVA), create scatterplots, calculate correlation coefficients and probability values, use Excel to format correlation matrices, perform bivariate (or simple) regression, use multiple regression (the simple way), and use hierarchical regression as a quasi-experimental method.

How does this course contribute to professional growth?
This course provides a comprehensive overview of working with SPSS, a powerful statistical software package. It covers topics such as creating a data entry form in Excel, importing data from Excel, variable and value labels, one-way analysis of variance (ANOVA), scatterplots, correlation coefficients, correlation probability values, using Excel to format correlation matrices, bivariate (or simple) regression, multiple regression (the simple way), and hierarchical regression as a quasi-experimental method. By learning these skills, professionals can gain a better understanding of data analysis and be better equipped to make informed decisions in their field. This course can therefore contribute to professional growth by providing the necessary skills to effectively analyze data.

Is this course suitable for preparing further education?
This course appears to be suitable for preparing further education, as it covers a range of topics related to working with SPSS, such as creating a data entry form in Excel, importing data from Excel, variable and value labels, one-way analysis of variance (ANOVA), scatterplots, correlation coefficients, correlation probability values, using Excel to format correlation matrices, bivariate (or simple) regression, multiple regression (the simple way), and hierarchical regression as a quasi-experimental method. These topics are all relevant to further education in the field of data analysis.