First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Psychology
CLINICAL DEVELOPMENTAL PSYCHOLOGY
Course unit
DATA ANALYSIS FOR THE BEHAVIORAL SCIENCES
PSP6074600, A.A. 2018/19

Information concerning the students who enrolled in A.Y. 2018/19

Information on the course unit
Degree course Second cycle degree in
CLINICAL DEVELOPMENTAL PSYCHOLOGY
PS2292, Degree course structure A.Y. 2016/17, A.Y. 2018/19
N0
bring this page
with you
Number of ECTS credits allocated 6.0
Type of assessment Mark
Course unit English denomination DATA ANALYSIS FOR THE BEHAVIORAL SCIENCES
Department of reference Department of Developmental Psychology and Socialisation
Mandatory attendance No
Language of instruction Italian
Branch PADOVA
Single Course unit The Course unit can be attended under the option Single Course unit attendance
Optional Course unit The Course unit can be chosen as Optional Course unit

Lecturers
Teacher in charge GIANMARCO ALTOE' M-PSI/03

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses M-PSI/03 Psychometrics 6.0

Course unit organization
Period Second semester
Year 1st Year
Teaching method frontal

Type of hours Credits Teaching
hours
Hours of
Individual study
Shifts
Lecture 6.0 42 108.0 No turn

Calendar
Start of activities 25/02/2019
End of activities 14/06/2019

Examination board
Board From To Members of the board
3 2018 01/10/2018 30/09/2019 ALTOE' GIANMARCO (Presidente)
AGNOLI FRANCA (Membro Effettivo)
FINOS LIVIO (Membro Effettivo)
PASTORE MASSIMILIANO (Membro Effettivo)

Syllabus
Prerequisites: Knowledge of basic psychometric and statistical concepts.
Target skills and knowledge: The course aims to provide:
- basic knowledge in statistical reasoning, defined as the ability to interact appropriately with data, variability, and chance
- basic skills allowing to perform data analysis in the behavioral sciences domain (using R software), and to interpret the results
Examination methods: The exam consists of 31 multiple-choice questions regarding the concepts presented in the course.
Each question has a choice of 4 answers, only one of which is correct. The candidate gets: 1 point for each correct answer, 0 points for each missing answer, -.33 for each incorrect answer. The final grade results from the sum of points. The candidates who answer correctly to all questions will get 30 cum laude.
The exam lasts 50 minutes.
Assessment criteria: Mastery of concepts presented during the course, and ability to use them in applied contexts.
Course unit contents: - Role of statistics in the behavioral sciences
- Main research designs
- Review of descriptive statistics
- Basic concepts of probability and sampling
- Inferential statistics: frequentist and bayesian approaches
- Linear regression models applied to the behavioral sciences
- Model comparison
Theoretical lessons will be integrated with many examples and practical applications. In particular, R software will be used.
Planned learning activities and teaching methods: Frontal theoretical lectures applied to practical cases. Class activities. Exercises aiming to prepare students for the final exam. Students will have the opportunity to examine in more depth some of the lecture topics during the laboratories, i.e., Statistical Methods for Developmental Psychology and Statistical Methods for Clinical Psychology.
Additional notes about suggested reading: Materials for the exam:
- Course slides (lectures, excercises, readings). This material will be made available on-line on the Moodle platform
Textbooks (and optional supplementary readings)
  • Pastore Massimiliano, Analisi dei dati in psicologia. Bologna: Il Mulino, 2015. Cerca nel catalogo

Innovative teaching methods: Teaching and learning strategies
  • Loading of files and pages (web pages, Moodle, ...)

Innovative teaching methods: Software or applications used
  • Moodle (files, quizzes, workshops, ...)
  • R: a free software environment for statistical computing and graphics

Sustainable Development Goals (SDGs)
Quality Education