David Navarro-González
Biographic Data
| ID | 9251765 |
|---|---|
| NAME | David Navarro-González |
| GIVEN NAMES | David |
| FAMILY NAME | Navarro-González |
| SIGNATURE | NAVARRO-GONZÁLEZ D |
| AFFILIATIONS | Universitat Rovira i Virgili, Tarragona, Spain |
| ORCID | 0000-0002-9843-5058 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 5 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Assessing the Unconditional and Conditional External Validity of Noncognitive Test Scores
Evidence of external validity based on individual score estimates is still relevant in many psychometric applications. From a model-based perspective, however, the topic appears to have been rather neglected in recent decades. Thus, in structural equation modelling (SEM), this evidence is sought to be obtained structurally, bypassing the scoring stage. And, in item response theory (IRT), the score interest mostly focuses on internal properties. T…
Assessing the Properties and Functioning of Model-Based Sum Scores in Multidimensional Measures With Local Item Dependencies
A common problem in the assessment of noncognitive attributes is the presence of items with correlated residuals. Although most studies have focused on their effect at the structural level, they may also have an effect on the accuracy and effectiveness of the scores derived from extended factor analytic (FA) solutions which include correlated residuals. For this reason, several measures of reliability/factor saturation and information were develo…
Linear and Nonlinear Indices of Score Accuracy and Item Effectiveness for Measures That Contain Locally Dependent Items
The problem of local item dependencies (LIDs) is very common in personality and attitude measures, particularly in those that measure narrow-bandwidth dimensions. At the structural level, these dependencies can be modeled by using extended factor analytic (FA) solutions that include correlated residuals. However, the effects that LIDs have on the scores based on these extended solutions have received little attention so far. Here, we propose an a…
A Relative Normed Effect-Size Difference Index for Determining the Number of Common Factors in Exploratory Solutions
Descriptive fit indices that do not require a formal statistical basis and do not specifically depend on a given estimation criterion are useful as auxiliary devices for judging the appropriateness of unrestricted or exploratory factor analytical (UFA) solutions, when the problem is to decide the most appropriate number of common factors. While overall indices of this type are well known in UFA applications, especially those intended for item ana…
A Multidimensional Item Response Theory Model for Continuous and Graded Responses With Error in Persons and Items
Item response theory “dual” models (DMs) in which both items and individuals are viewed as sources of differential measurement error so far have been proposed only for unidimensional measures. This article proposes two multidimensional extensions of existing DMs: the M-DTCRM (dual Thurstonian continuous response model), intended for (approximately) continuous responses, and the M-DTGRM (dual Thurstonian graded response model), intended for ordere…
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A Multidimensional Item Response Theory Model for Continuous and Graded Responses With Error in Persons and Items
Item response theory “dual” models (DMs) in which both items and individuals are viewed as sources of differential measurement error so far have been proposed only for unidimensional measures. This article proposes two multidimensional extensions of existing DMs: the M-DTCRM (dual Thurstonian continuous response model), intended for (approximately) continuous responses, and the M-DTGRM (dual Thurstonian graded response model), intended for ordere…
A Relative Normed Effect-Size Difference Index for Determining the Number of Common Factors in Exploratory Solutions
Descriptive fit indices that do not require a formal statistical basis and do not specifically depend on a given estimation criterion are useful as auxiliary devices for judging the appropriateness of unrestricted or exploratory factor analytical (UFA) solutions, when the problem is to decide the most appropriate number of common factors. While overall indices of this type are well known in UFA applications, especially those intended for item ana…
Assessing the Properties and Functioning of Model-Based Sum Scores in Multidimensional Measures With Local Item Dependencies
A common problem in the assessment of noncognitive attributes is the presence of items with correlated residuals. Although most studies have focused on their effect at the structural level, they may also have an effect on the accuracy and effectiveness of the scores derived from extended factor analytic (FA) solutions which include correlated residuals. For this reason, several measures of reliability/factor saturation and information were develo…
Linear and Nonlinear Indices of Score Accuracy and Item Effectiveness for Measures That Contain Locally Dependent Items
The problem of local item dependencies (LIDs) is very common in personality and attitude measures, particularly in those that measure narrow-bandwidth dimensions. At the structural level, these dependencies can be modeled by using extended factor analytic (FA) solutions that include correlated residuals. However, the effects that LIDs have on the scores based on these extended solutions have received little attention so far. Here, we propose an a…
Assessing the Unconditional and Conditional External Validity of Noncognitive Test Scores
Evidence of external validity based on individual score estimates is still relevant in many psychometric applications. From a model-based perspective, however, the topic appears to have been rather neglected in recent decades. Thus, in structural equation modelling (SEM), this evidence is sought to be obtained structurally, bypassing the scoring stage. And, in item response theory (IRT), the score interest mostly focuses on internal properties. T…
Psychometric Methodologies and Testing (5 works) · Econometrics (4 works) · Mathematics (4 works) · Psychometrics (4 works) · Statistics (4 works) · Advanced Statistical Modeling Techniques (3 works) · Computer Science (3 works) · Item response theory (3 works) · Psychology (3 works) · Categorical variable (2 works)