The course aims at introducing the methodology and practical techniques for the design of questionnaires and statistical data analysis of survey data. This knowledge is relevant in all areas where phenomena need to be analyzed on the basis of collected data.
Lectures and practical data modeling in R or SAS.
Should teaching be carried out in mixed mode or remotely, it may be necessary to introduce changes with respect to previous statements, in line with the programme planned and outlined in the syllabus.
Data Analysis and Statistical Learning
Methods of Data Collection. Introduction to Survey Research Methods. Component of Surveys. Survey Delivery Approaches. Sampling Techniques.
Design of Questionnaires. Define research aims. Identify the population and sample. Designing Questions. Types of measures and Questions. Types of error in surveys. Evaluating survey questions.
Preparing Survey Data for Analysis. Formatting a Data File. Coding and Data Entry. Data Cleaning. Lab in R and/or in SAS.
Statistical Analyses of Questionnaire Data. Description of responses. Description of Relationships between variables. Latent Class Analysis. Item Response Theory. Lab in R and/or in SAS.
Falissard B. (2012), Analysis of Questionnaire Data with R, CRC Press, Boca Raton
Bartolucci F., Bacci S., Gnaldi M. (2016), Statistical Analysis of Questionnaires, CRC Press, Boca Raton
Fowler F. J. (2009), Survey Research Methods, SAGE Publications, Thousand Oaks, California
Lecture notes and slides
See the website studium: http://studium.unict.it/dokeos/
|1||Methods of Data Collection||Fowler F. J. (2009), Survey Research Methods; Lecture notes and slides|
|2||Design of Questionnaire||Falissard B. (2012), Analysis of Questionnaire Data with R; Lecture Notes and slides|
|3||Preparing Survey Data for Analysis||Lecture notes and slides|
|4||Statistical Analysis of Questionnaire Data||Bartolucci F., Bacci S., Gnaldi M. (2016), Statistical Analysis of Questionnaires|
Practical activities (data analysis and modeling) and oral exam.
Learning assessment may also be carried out on line, should the conditions require it.
Sampling Techniques, Design of Questionnaire, evaluating survey questions