Statistics for Social Sciences Research
What is it All About?
Statistics is central of research in the field of Social Sciences. A number of different software are available for analyzing data in social sciences. This series aims to help research scholars understand and navigate statistical concepts and the main types of statistical analyses essential for research students. The aim is to first go over some of the basic concepts related to statistics and data analysis, followed by implementation of the concepts using R and SPSS.
Statistics for #Research - L1 - Introduction to Statistical Variables
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Statistics for #Research - L1 - Introduction to Statistical Variables
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Statistics for #Research - L2 - The Concept of Descriptive Statistics
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Statistics for Research - L3 - What is SPSS and When to use it?
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Statistics for Research - L4 - Introduction to SPSS and Data Entry
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Statistics for Research - L5 - Import Data from Google Forms into SPSS
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Statistics for Research - L6 - Descriptive Statistics using SPSS
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Statistics for Research - L7 - Report Descriptive Statistics in APA Style from SPSS
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Statistics for Research - L8 - Descriptive Statistics using R
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Statistics for Research - L9 - Charts and Graphs using SPSS
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Statistics for Research - L10 - Introduction to Charts and Graphs using ggplot2 in R
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Statistics for Research - L11 - What are Outliers and How to Solve the Issue using SPSS?
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Statistics for Research - L12 - How to Identify and Deal with Outliers in R?
Additional Resources
- Binary Logistic Regression Analysis in SPSS
- Categorical Predictor/Dummy Variables in Regression using SPSS
- Crosstabulation and Chi-Square Test using SPSS
- Data Screening and Handling Missing Data using SPSS
- How to Check Linear Relationship in SPSS
- How to Perform Exploratory Factor Analysis using SPSS
- How to Perform One Way ANOVA
- How to Run, Interpret, and Report Descriptive Statistics using SPSS
- Identifying and Correcting Data Entry Errors in SPSS
- Independent Samples T-Test using SPSS
- Mann Whitney U Test using SPSS
- Partial Correlation Analysis using SPSS
- Pearson Correlation Analysis using SPSS
- Regression Analysis using SPSS: Concept, Interpretation, Reporting
- Transform Continuous Variables into Categorical Variables using SPSS