(English version) DATA ANALYSIS
The course aims to provide students with an understanding of statistical concepts and the ability to conduct statistical analyses (using open source statistical packages) as used in psychological research. Topics include descriptive statistics, inferential statistics and correlational models. Basic skills will be given in designing, executing, analyzing, interpreting and reporting psychological research, mainly in the organizational context.
By the end of the course students will be able to:
- describe and use some techniques of data collection and data analysis in psychological educational research, and report and discuss the results;
- describe and use methods useful to assess the effectiveness of interventions;
- develop research design, mainly in the field of organizational and educational psychology.
- Describing data (measures of central tendency and dispersion)
- Normal distribution and z-scores
- Sampling distribution, and hypothesis testing, power, effect sizes
- Hypothesis tests applied to means: t-tests (for independent and related samples)
- Simple Analysis of Variance (for independent and related samples)
- Factorial Analysis of Variance (between, within, and mixed models)
- Correlation and Regression
- Categorical data and chi-square
|Dennis Howitt, Duncan Cramer||Introduzione alla statistica per psicologia. Con MyLab. Con e-book. Con espansione online.||Pearson Education Italia||2014||9788865183847||Questo testo è preferibile, per esperienza didattica, agli altri testi. Tuttavia sia gli altri testi consigliati sia altri testi con analoghi contenuti possono essere utilizzati per questo corso.|
|Marilyn K. Pelosi,Theresa M. Sandifer, Paola Cerchiello, Paolo Giudici||Introduzione alla statistica (seconda edizione) (Edizione 2)||McGraw-Hill, Milano||2009||978-88-386-6516-5|
|J. Welkowitz, B. Cohen, R. Ewen||Statistica per le scienze del comportamento||Apogeo Education||2009||9788850328635|
Written exam. The use of the PC is needed, particularly the use of spreadsheets (Microsoft Excel, free for students, or Apache OpenOffice Calc) and of JASP, an open source statistical package. Starting from a given dataset, students should perform some analysis in agreement with the program of the course. 5.6 Exercises will be proposed, each scored on a 6/7 points scale, depending on the difficulty, on the bases of a 32-point score. Handbooks and notes are allowed.