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    Augusto GNISCI

    Insegnamento di PSYCOMETRICS

    Corso di laurea in DATA ANALYTICS

    SSD: M-PSI/03

    CFU: 6,00


    Periodo di Erogazione: Secondo Semestre


    Lingua di insegnamento



    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.


    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).
    Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.

    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

    I. Introduction to psychological tests: 1. The birth of the tests 2. Normal distribution 3. Transformation of scores and standardization of the measures
    II. Psychological test construction models: 1. Indicators, constructs and dimensions 2. Regressive and factorial models 3. Analysis of the items 4. Functions of the tests
    III. Dimensionality of psychological tests: 1. Dimensionality of the tests 2. Principal Components Analysis (ACP) 3. Eigenvalues and communality 4. Criteria for the identification of the number of factors 5. Orthogonal and oblique rotation 6. Elimination of the items 7. Interpretation of factors 8. Factorial Scores 9. Common Factors Analysis (AFC) 10. Conditions of applicability of dimensional analysis 11. Factorial Analysis Confirmatory (CFA)
    IV. Reliability of psychological tests: 1. Classical theory 2. Types of reliability 2. Coefficients based on two measurements (stability or test-retest and equivalence) 3. Coefficients based on one measurement (split-half and internal consistency) 4. Coefficient Cronbach’s alpha of 5. Reliability for observational measures, point by point and global coefficients
    V. Validity of psychological tests: 1. Content validity 2. Face validity 3. Criterion validity: concurrent and predictive 4. Convergent and divergent construct validity 5. The Multi-Trait-Multi-Method matrix (MTMM)


    Teaching language


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