87465 - TECNICHE PSICOMETRICHE E DI ANALISI DEI DATI-

Learning outcomes

At the end of the course the student will be able : to prepare a research project of validation and standardization of neuropsychological tests, to conduct the correct statistical analysis  according to specific research design and to interpret the results of the analysis.

Course contents

Part I Statistical tests and methodological basis for the construction, validation and standardization of neuropsychological tests

Factor analysis

Standard values and ranges
- confidence and tolerance intervals
- Normal and Student's intervals
- Non-parametric intervals
Classification threshold
- Sensitivity and Specificity
- ROC Curves

Part II Inferential tests for multivariate designs

General Linear Model
- Multiple and Multivariate Linear Regression

- Multivariate Analysis of Variance
- Multivariate Analysis of Variance for Repeated Measures
- Multivariate Contrasts

 Binomial and Multinomial Logistic regression

Readings/Bibliography

Statistics in Psychology with SPSS (7e) By DennisHowitt, DuncanCramer Pearson Edition 2017

Teaching methods

Frontal lectures, seminars and group work

Assessment methods

Discussion on a paper prepared by the student at the end of the course.

The student has to prepare a paper concerning two topics referring to the program (one selected from the first part, the other from the second).

For each topic, the paper consists of a theoretical part concerning the description of the selected statistical model, and of a critical application of the model. For the critical application the student has two alternatives. The first alternative consists of a critical application of the model to a specific data collected previously during lectures; The second choice consists of a critical revision on a scientific manuscript concerning the selected statistical model. The maximum length is 6000 words.

The paper has to be sent together with the scientific manuscript to the docent by e-mail one week before the official date of the exam. During the exam the paper will be discussed orally.

The paper will be evaluated according to a 30 points score  and this score will be considered together with the oral presentation (the total score will represent the mean of the two scores). the minimum score is 18. in the case of a score below 18, the student is required to revise the paper and present it again according to the suggestion of the docent. The docent and the student will schedule the new oral presentation.

Teaching tools

Frontal lectures are supported by different materials:

- books and electronic book

- scientific articles

Office hours

See the website of Mariagrazia Benassi