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Updated in [August 13th, 2023]
Skills and Knowledge Acquired:
By taking this course, learners will acquire the skills and knowledge necessary to independently carry out in-depth data analysis with professional confidence and accuracy. This includes the ability to plan and carry out new research work, understand consumer behaviour, develop objective plans for new ventures, brand study, write scholarly articles in high impact journals, and develop high quality thesis/project work. Learners will also gain an understanding of IBM SPSS Statistics and how to use it to analyze data, as well as how to write the obtained output from SPSS in APA format.
Contribution to Professional Growth:
This SPSS Masterclass course provides an opportunity for professional growth by equipping learners with the ability to independently carry out in-depth data analysis with professional confidence and accuracy. It covers most of the major types of research techniques employed in academic and professional research, and provides participants with the skills to analyze data, develop an independent capacity to accurately decide what statistical tests are appropriate, and write the obtained output from SPSS in APA format. By completing this course, learners will be able to develop an ability to independently analyze and treat data, plan and carry out new research work based on their research interests.
Suitability for Further Education:
This SPSS Masterclass: Learn SPSS From Scratch to Advanced course is suitable for those looking to prepare for further education. It provides comprehensive and in-depth instruction on data analysis and research techniques, as well as how to write the obtained output from SPSS in APA format. This course is ideal for students, researchers, teachers, and corporate professionals who want to equip themselves with sound skills of data analysis and progress with this skill.
Course Syllabus
Introduction
Downloading and Installing SPSS
Version and Updates
Dataset & Resources
SPSS Masterclass E-Book
References and Further Readings on Method
Conceptual Foundation of Statistics
Data Entry: Learning to Enter Data in SPSS
Working with Various File Types in SPSS
Data Transformation in SPSS: RECODE and Other Transformation Functions
Descriptive Statistics using SPSS
Independent Sample t-test: Comparing Two Independent Group Means
Paired Sample t-test: Comparing Differences between Two Correlated Group Means
One-Way ANOVA: Comparing Differences between More than Two Groups
Linear Regression: Cause and Effect Analysis of One IV on One DV
Multiple Regression: Causal Effect of Many IVs on One DV
Hierarchical Regression Analysis
Exploratory Factor Analysis
Chi-Square Test
Reliability Analysis
Graphical Presentation & Data Visualization in SPSS
Logistic Regression
Moderation and Mediation Analysis using PROCESS Macro
General Linear Modelling (GLM) & Generalized Linear Modelling (GLIM)
One-Way Repeated Measure ANOVA
Correlations
Measures of Association
Bug Fixing in SPSS
Assignments
ANCOVA: One-Way Analysis of Covariance
MANOVA (Multivariate Analysis of Variance)
Python for SPSS Users
Next Step