First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Psychology
DEVELOPMENTAL AND EDUCATIONAL PSYCHOLOGY
Course unit
DATA ANALYSIS IN DEVELOPMENTAL PSYCHOLOGY
PSN1032309, 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
DEVELOPMENTAL AND EDUCATIONAL PSYCHOLOGY
PS1090, Degree course structure A.Y. 2017/18, A.Y. 2018/19
N0
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Number of ECTS credits allocated 9.0
Type of assessment Mark
Course unit English denomination DATA ANALYSIS IN DEVELOPMENTAL PSYCHOLOGY
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 FRANCA AGNOLI M-PSI/03

ECTS: details
Type Scientific-Disciplinary Sector Credits allocated
Core courses M-PSI/03 Psychometrics 9.0

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

Type of hours Credits Teaching
hours
Hours of
Individual study
Shifts
Lecture 9.0 63 162.0 No turn

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

Examination board
Board From To Members of the board
8 2018 01/10/2018 30/09/2019 AGNOLI FRANCA (Presidente)
ALTOE' GIANMARCO (Membro Effettivo)
CALCAGNI' ANTONIO (Membro Effettivo)
PASTORE MASSIMILIANO (Membro Effettivo)

Syllabus
Prerequisites: It is assumed that the student has had an undergraduate course in basic statistics
Target skills and knowledge: The course will identify critical limitations of NHST. We will introduce the concepts of effect sizes and interval estimation.
Examination methods: The exam is written and lasts two hours.
There will be 8 to 10 problems to solve (very similar to the ones presented at the end of each chapter of the book Experimental Design and Data Analysis by Keppel et al.).
In addition there will be 4 or 5 questions regarding three scientific articles that the teacher will have presented and analyzed in class.
Assessment criteria: The evaluation of learning will be based on comprehension and application of statistical concepts presented in the course. We will evaluate the comprehension of methodological aspects present in three research articles.
Course unit contents: The logic of Null Hypothesis Significance Testing; the power of a statistical test and measures of effect sizes;
Effect Size Estimation in comparative studies: continuous outcomes, categorical outcomes, single-factor designs, multifactor designs;
Correlation and regression.
Planned learning activities and teaching methods: It is highly expected that students be present to almost all lectures.
During lectures three research articles will be presented with detailed explanations regarding the choice of method and statistical analyses.
Additional notes about suggested reading: Johns, M., Schmader, T. & Martens, A. (2005). Knowing is half the battle. Psychological Science, 16, 175 – 179.

Bar-Haim, Y., Ziv, T., Lamy, D., & Hodes, R. M. (2006). Nature and nurture in own-race face processing. Psychological Science, 17, 159 – 163.

De Neys, W. & Vanderputte, K. (2011). When less is not always more: stereotype knowledge and reasoning development. Developmental Psychology, 47, 432-441.
Textbooks (and optional supplementary readings)
  • Keppel, G., Saufley, W. H. e Tokunaga, H., Disegno sperimentale e analisi dei dati in psicologia.. Napoli: EdiSes, 2001. Cerca nel catalogo
  • Keppel, G. Wickens, T. D., Design and analysis. Upper Saddle River, New Jersey: Pearson Prentice Hall, 2004. Cerca nel catalogo

Innovative teaching methods: Teaching and learning strategies
  • Lecturing
  • Active quizzes for Concept Verification Tests and class discussions
  • Loading of files and pages (web pages, Moodle, ...)

Innovative teaching methods: Software or applications used
  • Moodle (files, quizzes, workshops, ...)

Sustainable Development Goals (SDGs)
Quality Education Gender Equality