Jesús M Alvarado
Biographic Data
| ID | 4270632 |
|---|---|
| NAME | Jesús M Alvarado |
| GIVEN NAMES | Jesús M |
| FAMILY NAME | Alvarado |
| SIGNATURE | ALVARADO J M |
| AFFILIATIONS | Universidad Complutense de Madrid |
| VERIFIED | No |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 13 |
| AUTHOR COUNT | 5 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2020 |
| H-INDEX | 1 |
Rethinking the Exploration of Dichotomous Data
The need to determine the correct dimensionality of theoretical constructs and generate valid measurement instruments when underlying items are categorical has generated a significant volume of research in the social sciences. This article presents two studies contrasting different categorical exploratory techniques. The first study compares Mokken scale analysis (MSA) and two-factor-based exploratory techniques for noncontinuous variables: item …
The sirens’ call in psychometrics
The idea that item response theory (IRT) models yield invariant parameter estimates is widely accepted among scholars interested in achieving truly scientific measurements in social and behavioral sciences. Starting from a conceptual and mathematical definition of invariance, this article presents a critical examination of the theoretical and empirical support for the property of invariance with regard to populations and samples of items and subj…
Best Alternatives to Cronbach's Alpha Reliability in Realistic Conditions
The Cronbach's alpha is the most widely used method for estimating internal consistency reliability. This procedure has proved very resistant to the passage of time, even if its limitations are well documented and although there are better options as omega coefficient or the different versions of glb, with obvious advantages especially for applied research in which the ítems differ in quality or have skewed distributions. In this paper, using Mon…
Developing Multidimensional Likert Scales Using Item Factor Analysis
This study compares the performance of two approaches in analysing four-point Likert rating scales with a factorial model: the classical factor analysis (FA) and the item factor analysis (IFA). For FA, maximum likelihood and weighted least squares estimations using Pearson correlation matrices among items are compared. For IFA, diagonally weighted least squares and unweighted least squares estimations using items polychoric correlation matrices a…
Reexamining Nonlinear Structural Equation Modeling Procedures
The current study examines the performance of the extended unconstrained approach (EXUC) and the latent moderated structural equation modeling procedure (LMS) in situations where quadratic and interaction terms are tested simultaneously and investigates their limitations with regard to the employment of parallel and congeneric measures, relatively low indicator reliabilities, and relatively large numbers of indicators. By means of a Monte Carlo s…
Developing Multidimensional Likert Scales Using Item Factor Analysis
This study compares the performance of two approaches in analysing four-point Likert rating scales with a factorial model: the classical factor analysis (FA) and the item factor analysis (IFA). For FA, maximum likelihood and weighted least squares estimations using Pearson correlation matrices among items are compared. For IFA, diagonally weighted least squares and unweighted least squares estimations using items polychoric correlation matrices a…
Rethinking the Exploration of Dichotomous Data
The need to determine the correct dimensionality of theoretical constructs and generate valid measurement instruments when underlying items are categorical has generated a significant volume of research in the social sciences. This article presents two studies contrasting different categorical exploratory techniques. The first study compares Mokken scale analysis (MSA) and two-factor-based exploratory techniques for noncontinuous variables: item …
Reexamining Nonlinear Structural Equation Modeling Procedures
The current study examines the performance of the extended unconstrained approach (EXUC) and the latent moderated structural equation modeling procedure (LMS) in situations where quadratic and interaction terms are tested simultaneously and investigates their limitations with regard to the employment of parallel and congeneric measures, relatively low indicator reliabilities, and relatively large numbers of indicators. By means of a Monte Carlo s…
Best Alternatives to Cronbach's Alpha Reliability in Realistic Conditions
The Cronbach's alpha is the most widely used method for estimating internal consistency reliability. This procedure has proved very resistant to the passage of time, even if its limitations are well documented and although there are better options as omega coefficient or the different versions of glb, with obvious advantages especially for applied research in which the ítems differ in quality or have skewed distributions. In this paper, using Mon…
Developing Multidimensional Likert Scales Using Item Factor Analysis
This study compares the performance of two approaches in analysing four-point Likert rating scales with a factorial model: the classical factor analysis (FA) and the item factor analysis (IFA). For FA, maximum likelihood and weighted least squares estimations using Pearson correlation matrices among items are compared. For IFA, diagonally weighted least squares and unweighted least squares estimations using items polychoric correlation matrices a…
The sirens’ call in psychometrics
The idea that item response theory (IRT) models yield invariant parameter estimates is widely accepted among scholars interested in achieving truly scientific measurements in social and behavioral sciences. Starting from a conceptual and mathematical definition of invariance, this article presents a critical examination of the theoretical and empirical support for the property of invariance with regard to populations and samples of items and subj…
Rethinking the Exploration of Dichotomous Data
The need to determine the correct dimensionality of theoretical constructs and generate valid measurement instruments when underlying items are categorical has generated a significant volume of research in the social sciences. This article presents two studies contrasting different categorical exploratory techniques. The first study compares Mokken scale analysis (MSA) and two-factor-based exploratory techniques for noncontinuous variables: item …
Mathematics (5 works) · Statistics (5 works) · Econometrics (4 works) · Advanced Statistical Modeling Techniques (3 works) · Computer Science (3 works) · Monte Carlo method (3 works) · Psychometric Methodologies and Testing (3 works) · Structural equation modeling (3 works) · Psychology (2 works) · Psychometrics (2 works)