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    Antonio IRPINO

    Insegnamento di PSYCHOMETRICS

    Corso di laurea in DATA ANALYTICS

    SSD: M-PSI/03

    CFU: 6,00

    ORE PER UNITÀ DIDATTICA: 48,00

    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

    Mandatory texts:

    (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) Tabachnick, B.G. & Fidell, L.S. (2013). Principal components and factorial analysis. In: Using multivariate statistics (Cap. 13, pp. 612.680). Boston: Pearson.
    Downloadable by:
    https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&ved=2ahUKEwiOgaqsvIDyAhWk_7sIHVQOAQYQFjACegQIBBAD&url=http%3A%2F%2Febook.stkip-pgri-sumbar.ac.id%2Febook%2Fkomputer-informasi-referensi-umum%2F6th-edition-using-multivariate-statistics-pearson%2Fdownload&usg=AOvVaw3fDp8kBAL6eUN4tv_lzu72
    Mandatory ppt slides:

    (3) Notes from the lessons (proff. Gnisci, Irpino, Senese).
    ----------
    Article useful for exercises and report:

    - Boateng, G.O., Neilands, T.B., Frongillo, E.A., Melgar-Quiñonez, H. R. & Young, S. L. (2018) Best Practices for Developing and Validating Scales for Health, Social, and Behavioral Research: A Primer. Front. Public Health 6:149. doi: 10.3389/fpubh.2018.00149

    - Sergi, I, Gnisci, A., Senese, V. P., & Perugini, M. (2019). The HEXACO-Middle School Inventory (MSI): A personality inventory for children and adolescents. European Journal of Psychological Assessment. doi: 10.1027/1015-5759/a000538

    - Senese, V.P., Ruotolo, F., Ruggiero, G., & Iachini, T. (2012). The Italian version of the Weinstein Noise Sensitivity Scale: Measurement Invariance Across Age, Gender, and Context. European Journal of Psychological Assessment, 28(2), 118-124. doi: 10.1027/1015-5759/a000099

    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 research methods in social sciences.

    Metodologie didattiche

    Face-to-Face lessons with ppt slides and use of e-learning platform and mixed teaching, according to the COVID situation.

    Classroom exercises using JASP statistical software.

    Metodi di valutazione

    Multiple choice written exam with 31 questions (each correct answer gets 1 point; a blank or a wrong answer gets 0 points)
    and preparation of a report on data analysis conducted by the student, to be discussed if the written exam is passed.

    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.

    PROF. V. P. SENESE: Associate Professor at the Department of Psychology, University of Campania «Luigi Vanvitelli», head of the «Psychometric Laboratory» (http://psiclab.altervista.org/).
    e-mail: Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.
    Availability: see https://calendly.com/senese (Ms-Teams)

    Programma del corso

    GENERAL ASPECTS OF PSYCHOLOGICAL TESTS
    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
    PSYCHOMETRIC ASPECTS OF PSYCHOLOGICAL 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 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)

    English

    Teaching language

    English

    Contents

    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

    Textbook and course materials

    Mandatory texts:

    (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) Tabachnick, B.G. & Fidell, L.S. (2013). Principal components and factorial analysis. In: Using multivariate statistics (Cap. 13, pp. 612.680). Boston: Pearson.
    Downloadable by:
    https://www.google.com/url?sa=t&rct=j&q=&esrc=s&source=web&cd=&ved=2ahUKEwiOgaqsvIDyAhWk_7sIHVQOAQYQFjACegQIBBAD&url=http%3A%2F%2Febook.stkip-pgri-sumbar.ac.id%2Febook%2Fkomputer-informasi-referensi-umum%2F6th-edition-using-multivariate-statistics-pearson%2Fdownload&usg=AOvVaw3fDp8kBAL6eUN4tv_lzu72
    Mandatory ppt slides:

    (3) Notes from the lessons (proff. Gnisci, Irpino, Senese).
    ----------
    Article useful for exercises and report:

    - Boateng, G.O., Neilands, T.B., Frongillo, E.A., Melgar-Quiñonez, H. R. & Young, S. L. (2018) Best Practices for Developing and Validating Scales for Health, Social, and Behavioral Research: A Primer. Front. Public Health 6:149. doi: 10.3389/fpubh.2018.00149

    - Sergi, I, Gnisci, A., Senese, V. P., & Perugini, M. (2019). The HEXACO-Middle School Inventory (MSI): A personality inventory for children and adolescents. European Journal of Psychological Assessment. doi: 10.1027/1015-5759/a000538

    - Senese, V.P., Ruotolo, F., Ruggiero, G., & Iachini, T. (2012). The Italian version of the Weinstein Noise Sensitivity Scale: Measurement Invariance Across Age, Gender, and Context. European Journal of Psychological Assessment, 28(2), 118-124. doi: 10.1027/1015-5759/a000099

    Course objectives

    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.

    Prerequisites

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

    Teaching methods

    Face-to-Face lessons with ppt slides and use of e-learning platform and mixed teaching, according to the COVID situation.

    Classroom exercises using JASP statistical software.

    Evaluation methods

    Multiple choice written exam with 31 questions (each correct answer gets 1 point; a blank or a wrong answer gets 0 points)
    and preparation of a report on data analysis conducted by the student, to be discussed if the written exam is passed.

    Other information

    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.

    PROF. V. P. SENESE: Associate Professor at the Department of Psychology, University of Campania «Luigi Vanvitelli», head of the «Psychometric Laboratory» (http://psiclab.altervista.org/).
    e-mail: Questo indirizzo email è protetto dagli spambots. È necessario abilitare JavaScript per vederlo.
    Availability: see https://calendly.com/senese (Ms-Teams)

    Course Syllabus

    GENERAL ASPECTS OF PSYCHOLOGICAL TESTS
    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
    PSYCHOMETRIC ASPECTS OF PSYCHOLOGICAL TESTS
    III. Dimensionality of psychological tests: 1. The 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 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)

     

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