Program Overview

Program Overview

The Diploma in Methodologies for the Construction, Validation, and Analysis of Questionnaires in Health is a postgraduate program designed for professionals in the health sector. The program aims to provide students with the theoretical foundations and methodological techniques necessary for the construction, validation, and analysis of questionnaires in health.

Objectives

The program's objectives are to:

• Know the theoretical foundations and apply the most frequent methodological techniques used in the construction, validation, and analysis of questionnaires in the health field, with an emphasis on the use of statistical tools and specialized software.
• Understand the types of validation and reliability indices most frequently used in the construction of health measurement scales.
• Apply the techniques of scale validation in STATA according to the Classical Test Theory (CTT).
• Know the theoretical foundations and technical aspects of the Item Response Theory (IRT) model employed in the analysis and validation of tests, applying them in the interpretation of results obtained in STATA using real or simulated data.

Contents

The program is divided into four modules:

Module I: Design, Instrumentality, and Measurement

• Class 1: Basic elements for constructing a questionnaire
• Class 2: Variables and types of questions in questionnaire construction
• Class 3: Techniques for constructing questionnaire questions
• Class 4: Introduction to STATA
• Class 5: Operationalization of variables in STATA
• Class 6: Statistical analysis of data from questionnaires in STATA
• Synchronous session

Module II: Validation of Scales in Health

• Class 1: Understanding scales
• Class 2: Descriptive statistics with STATA
• Class 3: Fundamental concepts for validating scales in health
• Class 4: Example application of the HLS-EU instrument version adapted to Spanish in Chile. Health literacy in the Greater Concepción area
• Synchronous session

Module III: Statistical Methods for Scale Validation According to CTT

• Class 1: Classical Test Theory I
• Class 2: Classical Test Theory II
• Class 3: Classical Test Theory III
• Class 4: Review of articles with a CTT perspective
• Synchronous session
• Class 5: Exploratory Factorial Analysis I
• Class 6: Example EFA with STATA I
• Class 7: Exploratory Factorial Analysis II
• Class 8: Example EFA with STATA II
• Synchronous session
• Class 9: Confirmatory Factorial Analysis I
• Class 10: Confirmatory Factorial Analysis II
• Class 11: Confirmatory Factorial Analysis applied in STATA I
• Class 12: Confirmatory Factorial Analysis applied in STATA II
• Synchronous session

Module IV: Theory and Application of IRT Models for the Validation of Tests with Dichotomous and Graduated Polytomic (Likert) Response

• Class 1: IRT 1PL and 2PL model (Part 1)
• Class 2: IRT 1PL and 2PL model (Part 2)
• Synchronous session
• Class 3: IRT Ordered Response Model
• Class 4: IRT Rating Scale Model
• Synchronous session
• Class 5: IRT Graduated Response Model
• Synchronous session

Evaluation

Each module includes a summative evaluation (control) with multiple-choice questions. The subjects covered in each control correspond to those addressed in the classes disposed of in the platform in the corresponding module. The controls will be available for 48 hours, but only 1 hour will be available to respond. In modules III and IV, two applied work evaluations will be carried out using the STATA software. The final grade of the diploma will correspond to the weighted average of the approval grades of each module.

Dedication

A weekly dedication of 8 hours is estimated for the participants.

Profile of Graduates

Graduates of the Diploma will be able to understand the foundations and methodological techniques used in the construction, validation, and analysis of questionnaires in health. They will know the types of validation and reliability indices most frequently used in the construction of health measurement scales and will be able to apply the techniques of scale validation in STATA according to the CTT. They will also understand the theoretical foundations and technical aspects of the IRT model employed in the analysis and validation of tests, applying them in the interpretation of results obtained in STATA.

Target Audience

The program is aimed at health professionals who seek to:

• Expand their knowledge of methodological techniques for constructing, validating, and/or analyzing questionnaires.
• Know and/or expand their knowledge of the methodological statistical techniques for analyzing and validating questionnaires.
• Develop skills in handling STATA software for the analysis and validation of questionnaires.

Faculty

INTA Faculty

• Yasna Orellana Z., Assistant Professor INTA U. de Chile.
• Bárbara Leyton D., Adjunct Professor INTA U. de Chile.
• Mario O. Moya, Adjunct Professor INTA U. de Chile.
• Rodrigo Saguez, Kinesiologist, Universidad de Antofagasta.

Guest Faculty

• María Paz Casanova, Statistician, Pontifica Universidad Católica de Valparaíso.

Certification

Diploma of Postgraduate Studies in Methodologies for the Construction, Validation, and Analysis of Questionnaires in Health, awarded by the Institute of Nutrition and Food Technology - INTA of the University of Chile.

Requirements

General Requirements

• Professional university title or academic degree (accredited with a copy of the obtained certificate)
• Simple copy of the Identity Card
• Having taken at least one statistics course in their professional development.

Modality

This Diploma includes synchronous activities through the Zoom platform, requiring a minimum attendance of 90%.

Payment Methods

• Cash (bank transfer, deposit, or check on the day)
• Credit Card
• Institutional agreements

Discounts

• Cash payment: 10% discount
• Anticipated payment: 15% (before one month of program start)
• University of Chile officials and academics: 30%, and their children 20%
• Former students of Diplomas, Master's, and Doctoral degrees at the University of Chile: 15%
• Public officials and municipal officials: 20%
• Professional associations and other agreements with scientific societies: 15%
• Institutions: 5 students 1 free (25% discount)