RESEARCH METHODOLOGY WITH ELEMENTS OF STATISTICS METOD. DELLA RIC.CON ELEM.DI STATISTICA

RESEARCH METHODOLOGY WITH ELEMENTS OF STATISTICS La ricerca e i suoi metodi nella psicologia

A.Y. Credits
2015/2016 8
Lecturer Email Office hours for students
Marco Bruno Luigi Rocchi

Assigned to the Degree Course

Date Time Classroom / Location

Learning Objectives

The course aims to give students a methodological training and basic statistics,  not separated from the acquisition of an operational capability in the face of real problems.

Program

1. Outline of probability.  2. Population and sample.  3. Measuring scale variables.  4. Main indices of position (arithmetic mean, median and mode)  and dispersion (variation range, variance, standard deviation, coefficient of variation,  quartiles, interquartile range).  5. bivariate statistics: regression and correlation.  6. Main distributions: Binomial, Poisson, Gaussian.  7. The sampling distributions: distribution of the sample mean and t-distribution.  8. Tests: the z test; the Student t test (for one and two samples).  9. Confidence intervals for means and proportions.  10. Classification of trials  11. The scientific method and unscientific methods  12. The research protocol  13. The rationale  14. The literature search  15. Randomization  16. Blindness  17. Experimental design ù 18. Sample size  19. Assessment tools and their psychometric properties: reliability, validity, responsiveness, least significant difference, sensitivity and specificity 20. Deviations from the protocol and their treatment  21. Critical reading of a scientific paper

Learning Achievements (Dublin Descriptors)

In relation to the methodology of research with elements of statistics,  students should show possession of:  - the mastery of basic skills;  - the understanding of the fundamental concepts of the discipline  - the ability to use knowledge and concepts to reason according to the logic of the discipline.

Teaching Material

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

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