Acquisition of the theoretical knowledge and of the practical skills at the basis of the main data analysis techniques . At the end of the course , the student will be able to recognize which statistical approach has to be adopted in specific contexts and to comment on the results of these analyses .

The program is divided into 13 topics : 1 . introduction and rkey concepts : measurement scales , indicators of central tendency , variability indicators , graphical methods for the exploration of data (lecture 1-2) 2 . simple regression (lecture 3-4). 3 multiple regression (lecture 5-6). 4. Comparing Means : t - test  5 (lecture 7). Comparing Means : one-way ANOVA (lecture 7) 6. General linear model: factorial ANOVA between- subjects (lecture 8) 7 . Post- Hoc Comparisons: the problem of multiple comparisons and of statistical power (lecture 9). 8 General Linear Model: Model Assumptions (lecture 10) 9. Nonparametric tests (lecture 11) 10 . Factor analysis 11 (lecture 12-13-14). Subject assessment: assessment tools , reliability and validity (lecture 15-16) 12 . Statistics applied to neuropsychology and psicodiagnosis (lecture 17) 13 Methods for the study of individual patients (lecture 18).

+ 5 practical lectures + 1 practical meeting

Metodologia della ricerca con elementi di statistica

The students are expected to have acquired: (1) the key-concepts of hypothesis testing and statistical tests in the theoretical framework of the linear general model, (2)  the ability to recognize which statistical approach has to be used in different contests, (3) the ability to use knowledge and concepts for the description of the results of statistical analyses commonly run in the psychological sciences

The teaching material prepared by the lecturer in addition to recommended textbooks (such as for instance slides, lecture notes, exercises, bibliography) and communications from the lecturer specific to the course can be found inside the Moodle platform › blended.uniurb.it

1) Book: Gallucci e Leone “Modelli statistici per le scienze sociali”Capitoli: 2, 3, 4, 5, 6, 8, 11, 12);  R-commander: http://cran.r-project.org/doc/contrib/Karp-Rcommander-intro.pdf 3) Materials for the section "Methods for the study of individual patients" (online). To promote practical learning it is recommended that the studentes bring their own laptop

Teaching

Theorethical and practical lectures

Attendance

Not mandatory

Course books

Gallucci e Leone “Modelli statistici per le scienze sociali”

Assessment

Multiple choice assessment and written description of the results of a research problem

Disabilità e DSA

Le studentesse e gli studenti che hanno registrato la certificazione di disabilità o la certificazione di DSA presso l'Ufficio Inclusione e diritto allo studio, possono chiedere di utilizzare le mappe concettuali (per parole chiave) durante la prova di esame.

A tal fine, è necessario inviare le mappe, due settimane prima dell’appello di esame, alla o al docente del corso, che ne verificherà la coerenza con le indicazioni delle linee guida di ateneo e potrà chiederne la modifica.

Teaching

Theorethical and practical lectures

Attendance

Not mandatory

Course books

Gallucci e Leone “Modelli statistici per le scienze sociali”

Assessment

Multiple choice assessment and written description of the results of a research problem

Disabilità e DSA

Le studentesse e gli studenti che hanno registrato la certificazione di disabilità o la certificazione di DSA presso l'Ufficio Inclusione e diritto allo studio, possono chiedere di utilizzare le mappe concettuali (per parole chiave) durante la prova di esame.

A tal fine, è necessario inviare le mappe, due settimane prima dell’appello di esame, alla o al docente del corso, che ne verificherà la coerenza con le indicazioni delle linee guida di ateneo e potrà chiederne la modifica.

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