Data Analysis

A.Y. 2019/2020
Lesson for
9
Max ECTS
60
Overall hours
SSD
SPS/07
Language
English
Learning objectives
Acquire a solid foundation in applied statistical methodology by mastering the basic toolkit of quantitative research
Reach proficiency in univariate and bivariate analyses
Understand what it means to make inference in the social sciences and how to do it
Become competent in hypothesis testing
Master the basic principles of probabilistic sampling and the main types of sampling
Be able to produce basic statistical analyses of quantitative data independently using Stata

Course structure and Syllabus

Active edition
Yes
SPS/07 - GENERAL SOCIOLOGY - University credits: 9
Lessons: 60 hours
ATTENDING STUDENTS
Syllabus
Concerning the 40 hours in Data Analysis:
Introduction, variables and samples; Descriptive statistics, Introduction to Stata, setting up the workspace, descriptive statistics, Probabilities and distributions, Generating and modifying variables in Stata, Inference and estimation, Significance tests; Point and interval estimation with Stata; Comparing two groups and associations between categorical variables, Cross-tabulation in Stata, Linear regression and correlation, Anova, Linear regression and Anova in Stata, Introduction to logistic regression and to multivariate relationships; Setting up and executing a quantitative research analysis in Stata.


Program of the short course in sampling methods (20 hours):
1) Principles of probabilistic sampling
2) Simple random sampling with and without replacement
3) Unequal selection probability sampling
4) Stratified sampling
NON-ATTENDING STUDENTS
Syllabus
Concerning the 40 hours in Data Analysis, the topic covered are:
Introduction, variables and samples; Descriptive statistics, Introduction to Stata, setting up the workspace, descriptive statistics, Probabilities and distributions, Generating and modifying variables in Stata, Inference and estimation, Significance tests; Point and interval estimation with Stata; Comparing two groups and associations between categorical variables, Cross-tabulation in Stata, Linear regression and correlation, Anova, Linear regression and Anova in Stata, Introduction to logistic regression and to multivariate relationships; Setting up and executing a quantitative research analysis in Stata.

Program of the short course in sampling methods (20 hours):
1) Principles of probabilistic sampling
2) Simple random sampling with and without replacement
3) Unequal selection probability sampling
4) Stratified sampling
Lesson period
First trimester
Lesson period
First trimester
Assessment methods
Esame
Assessment result
voto verbalizzato in trentesimi