Methods and Statistics in Social Science

n this course you will go through the entire research process and will be able to help determine what research question we will investigate and how we design and perform the research. This is an invaluable experience if you want to be able to critically evaluate scientific research in the social and behavioral sciences or design and perform your own studies in the future.
1 - General hypothesis and design
-In this section you will work on Milestone 1 - formulating a general hypothesis and desig
 
2 - Design, operationalization and expectations
-In this module - based on the collective general hypothesis and design - you will create a more detailed design.
 3 - Measurement and manipulation material
-In this module - based on the collective detailed design - you will create instruments to measure and manipulate the variables in our study.

4 - Data collection, methods documentation and analysis plan
-In this module you will document the methods and material used to perform the study and you will create a statistical analysis plan.

5 - Statistical analysis
-In this module you will perform and document the final statistical analyses

6 - Report
-In this module you will work on the final milestone, reporting the results of your research study.
 

What you'll learn

  • Intuition behind probability and statistical analysis

  • How to summarize and describe data

  • A basic understanding of various methods of evaluating social programs

  • How to present results in a compelling and truthful way

  • Skills and tools for using R for data analysis

  • look for relationships in data using bivariate and multivariate statistical techniques • understand and apply the principles of statistical inference to real-world applications • operationalize concepts of interest and derive hypotheses that can be tested using survey data.