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    Antonio IRPINO

    Insegnamento di PSYCOMETRICS

    Corso di laurea in DATA ANALYTICS

    SSD: M-PSI/03

    CFU: 6,00

    ORE PER UNITÀ DIDATTICA: 56,00

    Periodo di Erogazione: Secondo Semestre

    Italiano

    Lingua di insegnamento

    INGLESE

    Contenuti

    Psychometrics and measurement in psychology - Building a test -
    Construct, dimensions, facets & indicators - Example: The Big Five - Likert scale - Content Validity & Facet analysis - Reliability - Classical Theory of Reliability
    Reliability and Validity - Applications of Reliability: Split Half and Cronbach’s Alpha - Spearman-Brown Prophecy Formula - Attenuation paradox & Bandwidth-Fidelity Trade-off
    Generalizability Theory - Validity: Face Validity, Criterion Validity, Construct Validity & MultiMethod-MultiTrait Matrix, Nomological Validity

    Testi di riferimento

    1) John, O.P. & Bennet-Martínez, V. (2014). Measurement: Reliability, construct validation, and scale construction. In Reis, Harry T. & Judd, Charles M. (Eds), Handbook of research methods in social and personality psychology (Cap. 18, pp. 473-503). Second Edition. Cambridge: Cambridge University Press.
    2) Notes from the lessons (prof. Gnisci).
    3) Notes from the lessons (dr. Mottola).

    Obiettivi formativi

    It aims to provide students with the knowledge and skills to build a measurement instrument (for example, a Likert type questionnaire) and determine its reliability and validity.

    Prerequisiti

    Fundamentals of descriptive and inferential statistics and of research methods in social sciences.

    Metodologie didattiche

    Face-to-Face lessons with ppt slides and use of e-learning platform.

    Classroom exercises using JASP statistical software.

    Metodi di valutazione

    Report on data analysis conducted by the student and oral exam.

    Altre informazioni

    PROF. AUGUSTO GNISCI Room #15, II floor, Viale Ellittico 31, 81100, Caserta. Availability:
    Tuesday, 15:00-17:00 (contact the teacher by e-mail previously).
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    PROF. ANTONIO IRPINO: Viale Lincoln 5, Office B1, 81100 Caserta (CE), Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.

    Programma del corso

    Correlation and regression – Reliability analysis: split-half method, internal coherence method (Cronbach’s Alpha) and test-retest reliability – Validity: criterion validity (concurrent and predictive) and construct validity (convergent and discriminant) with the construction of Multi-Trait-Multi-Method Matrix (MTMM).

    English

    Teaching language

    English

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