First cycle
degree courses
Second cycle
degree courses
Single cycle
degree courses
School of Psychology
CLINICAL DYNAMIC PSYCHOLOGY
Course unit
METHODOLOGY IN CLINICAL RESEARCH
PSN1032370, A.A. 2019/20

Information concerning the students who enrolled in A.Y. 2019/20

Information on the course unit
Degree course Second cycle degree in
CLINICAL DYNAMIC PSYCHOLOGY
PS1088, Degree course structure A.Y. 2017/18, A.Y. 2019/20
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Number of ECTS credits allocated 9.0
Type of assessment Mark
Course unit English denomination METHODOLOGY IN CLINICAL RESEARCH
Department of reference Department of Philosophy, Sociology, Education and Applied Psychology
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 STEFANIA MANNARINI M-PSI/07
Other lecturers PASQUALE ANSELMI M-PSI/03

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

Course unit organization
Period First 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 07/10/2019
End of activities 18/01/2020
Show course schedule 2019/20 Reg.2017 course timetable

Syllabus
Prerequisites: Methodological topics presented in any course, and in particular in the Psychometrics course of the First Cycle degree ( or Bachelor ‘s degree) are considered prerequisites of this course.
Target skills and knowledge: At the end of the course students are supposed to acquire knowledge and competence both theoretical and applicative of specific methods and models for the analysis of discrete variables which are relevant for research and applications in clinical and dynamic psychology. Students are supposed to acquire satisfactory calculation ability, capacity to analyze and to interpret data.
Examination methods: A written exam is provided which is characterized by multiple choice questions. Some questions are meant to test the theoretical and formal knowledge of the methods to analyze the data, others are concerned with the knowledge and ability in applying the computation procedures. During the written exam it is allowed to consult the manual of the course, the statistical tables, also the calculator can be used
Assessment criteria: The evaluation criteria of the written exam are concerned with knowledge, competence and ability as described above, acquired by means of training activities in class and with personal study. More precisely the exam evaluation is concerned with:
1) The knowledge of the theoretical contents of the methods and models presented, specifically the formal implications, the properties, the parameters estimation procedures, the validation methods.
2) The ability to apply the calculation, the analysis of the data and the interpretation of the results.
Course unit contents: The training activity contents are:
1. Psychometrics: reviewing chosen topics (12 hours)
a) Measurement theory
b) Probability functions
c) Logarithm transformation
2. Log-linear models (30 hours)
a)Theory and definitions
b) Bivariate log-linear models
c) Bidimensional tables effects
d) Hierarchical multivariate log-linear models
e) Effects and their relations with hierarchical log-linear models
f) Examples and applications in clinical psychology.
3) The Rasch model (21 hours)
a) The Latent Trait Theory, Measurement and the Rasch model
b) The parameters estimate
c) The model validity
d) Examples and applications in clinical psychology.
Planned learning activities and teaching methods: Frontal lectures are the preeminent teaching method. During lectures topics are treated both from the theoretical point of view and the applicative one; they are presented with numerous research examples and applications relevant for clinical and dynamic psychology. In order to deepen the study and the comprehension of the different topics, every week the lectures are followed by guided exercises with the direct participation of the students.
By means of personal study, students are required to enlarge and deepen his/her knowledge of all the topics presented, further he/she must exercise the calculus procedures using the readings suggested in class.
Additional notes about suggested reading: Suggested readings:
- Agresti A. (1990). "Categorical data analysis". Wiley, New York.
- Christensen R. (1990). "Log-linear models". Springer Verlag, New York
- Bond T.G. e Fox C.M.(2001). “Applying the Rasch Model . Fundamental Measurement in the Human Sciences”. L. Erlbaum Ass. (LEA), New Jersey
Textbooks (and optional supplementary readings)
  • Cristante F., Robusto E. e Mannarini S., Analisi log-lineare di variabili psicosociali. I modelli fondamentali. Vol. II. Milano: LED, 2002.
  • Cristante F. e Mannarini S., Misurare in psicologia. Il modello di Rasch. Bari: Laterza, 2004. Cerca nel catalogo
  • Mannarini S., Psicometria. fondamenti, metodi e applicazioni. Bologna: Il Mulino, 2008. studiare i capitoli IV,VI, VII, VIII, IX Cerca nel catalogo
  • Mannarini S., Metodi di analisi per variabili discrete. Complementi e problemi. Padova: Imprimitur, 2010. Cerca nel catalogo

Innovative teaching methods: Teaching and learning strategies
  • Lecturing
  • Laboratory
  • Interactive lecturing
  • Working in group
  • Flipped classroom

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

Sustainable Development Goals (SDGs)
Quality Education