07298 - Data Analysis Techniques

Learning outcomes

At the end of the training activity, the student will be able to: evaluate the psychometric characteristics of a good test; use and apply a psychometric clinical test; draw up a written diagnostic profile based on the use of a psychometric test; draw up a research-intervention project in the clinical field, with particular reference to the experimental design, the formulation of the hypotheses, the choice of the sample, the measuring instruments and the appropriate statistical analyzes to verify them.

Course contents

The research design in psychology: formulation of hypotheses, selection of the sample and measurement instruments.

Descriptive statistics and inferential statistics.

Hypothesis testing in quantitative research designs in clinical settings (cross-sectional, longitudinal, with and without control group studies).

The General Linear Model applied to hypothesis testing: analysis of multiple linear regression, multifactorial ANOVA, repeated measures ANOVA (mixed model).

Analysis of logistic regression and other non-parametric tests (Chi-square test).

Quantitative measurement instruments and classical test theory.

Psychometric characteristics of a good test: reliability (internal consistency and stability over time), validity (structural, criterion, predictive).

Exploratory and confirmatory factor analysis.

Sensitivity to change, sensitivity and specificity of a test.

Application of quantitative testing in clinical settings: scoring and interpretation based on norms.

Readings/Bibliography

Adopeted textbook: Psicometria e Testistica in Psicologia Clinica by P. Gremigni e G. Casu, 2015, eBook/PDF (http://www.lulu.com/shop/paola-gremigni-and-giulia-casu/psicometria-e-testistica-in-psicologia-clinica/ebook/product-22395057.html)

Papers provided by the teachers.

Teaching methods

The lessons will be articulated into 2 modules: module 1 (Prof. Gremigni - 30 hours), and  module 2 (Prof. Casu - 15 hours). Each module provides a short theoretical illustration and an interactive application part in which examples will be illustrated and discussed in the classroom with students.

Since the discussion of the practical examples helps the understanding of the course topics (quite complex), regular attendance to the lessons is strongly recommended.

The understanding of module 2 is favored by the integration with the Psychometrics laboratories which will also take place in the first semester.

Assessment methods

The assessment approach is based on an individual oral exam.

The exam will focus on assessing the following skills:

1) The ability to apply the General Linear Model to test hypotheses in research designs in the clinical field.

2) The ability to discuss and interpret the results of a psychometric instrument validation study. The student can choose 2 out of the numerous scientific articles that will be provided by the tachers for the exam.

Teaching tools

Powerpoint presentations and live data analysis via classroom PC connected with video projector, collective verbal discussion.

Office hours

See the website of Paola Gremigni

See the website of Giulia Casu