Javier Revuelta
Biographic Data
| ID | 8867707 |
|---|---|
| NAME | Javier Revuelta |
| GIVEN NAMES | Javier |
| FAMILY NAME | Revuelta |
| SIGNATURE | REVUELTA J |
| AFFILIATIONS | Autonoma University of Madrid |
| ORCID | 0000-0003-4705-6282 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1994 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
A Bayesian General Model to Account for Individual Differences in Operation-Specific Learning Within a Test
The present paper introduces a general multidimensional model to measure individual differences in learning within a single administration of a test. Learning is assumed to result from practicing the operations involved in solving the items. The model accounts for the possibility that the ability to learn may manifest differently for correct and incorrect responses, which allows for distinguishing different types of learning effects in the data. …
Assessing Cutoff Values of SEM Fit Indices
Holding model misspecification constant, the behavior of fit indices depends on factors such as the number of variables being modeled (model size), and the average observed correlation (magnitude of factor loadings or measurement quality). We examine by simulation the interplay of these factors with sample size in CFA models. When a biased estimator of the fit index is used (CFI, TLI, or GFI), the behavior of the sample indices depends on sample …
Bayesian Estimation and Testing of a Beta Factor Model for Bounded Continuous Variables
The particularities of bounded data are often overlooked. This type of data is likely to display a pattern of skewness because of the existence of an upper and lower limit that cannot be exceeded. In the context of factor analysis, when variables are skewed in opposite directions, using normal-theory factor analysis might lead to over-factoring. We propose a Bayesian beta factor model to analyze doubly bounded data. A simulation study was conduct…
Nominal Factor Analysis of Situational Judgment Tests
Situational judgment tests have gained popularity in educational and psychological measurement and are widely used in personnel assessment. A situational judgment item presents a hypothetical scenario and a list of actions, and the individuals are asked to select their most likely action for that scenario. Because actions have no explicit order, the item generates nominal responses consisting of the actions selected by the individuals. This artic…
A Procedure for Estimating Intrasubject Behavior Consistency
Trait psychology implicitly assumes consistency of the personal traits. Mischel, however, argued against the idea of a general consistency of human beings. The present article aims to design a statistical procedure based on an adaptation of the π* statistic to measure the degree of intraindividual consistency independently of the measure used. Three studies were carried out for testing the suitability of the π* statistic and the proportion of sub…
Psychometric and Psychological Effects of Item Selection and Review on Computerized Testing
Psychometric properties of computerized testing, together with anxiety and comfort of examinees, are investigated in relation to item selection routine and the opportunity for response review. Two different hypotheses involving examinee anxiety were used to design test properties: perceived control and perceived performance. The study involved three types of administration of a computerized English test for Spanish speakers (adaptive, easy adapti…
An Investigation of Self-Adapted Testing in a Spanish High School Population
This study, using Spanish high school students, compared four types of a computer-based English vocabulary test: (a) a self-adapted test (SAT), (b) a computerized adaptive test (CAT), (c) a conventional test of randomly selected items, and (d) a test that combined SAT and CAT (SCAT). No statistically significant differences were found among the test types for either estimated ability or posttest anxiety. Statistically significant differences were…
Adtest
This article describes an easy-to-use program for computer-adaptive testing. Two files have to be provided to use the program: the bank of items and the file containing their parameters. The program has been checked by simulation. Data on the accuracy of ability estimation are offered. Details on how to run the program and the format of both required files are also provided
No prominent works on this page.
Adtest
This article describes an easy-to-use program for computer-adaptive testing. Two files have to be provided to use the program: the bank of items and the file containing their parameters. The program has been checked by simulation. Data on the accuracy of ability estimation are offered. Details on how to run the program and the format of both required files are also provided
An Investigation of Self-Adapted Testing in a Spanish High School Population
This study, using Spanish high school students, compared four types of a computer-based English vocabulary test: (a) a self-adapted test (SAT), (b) a computerized adaptive test (CAT), (c) a conventional test of randomly selected items, and (d) a test that combined SAT and CAT (SCAT). No statistically significant differences were found among the test types for either estimated ability or posttest anxiety. Statistically significant differences were…
Psychometric and Psychological Effects of Item Selection and Review on Computerized Testing
Psychometric properties of computerized testing, together with anxiety and comfort of examinees, are investigated in relation to item selection routine and the opportunity for response review. Two different hypotheses involving examinee anxiety were used to design test properties: perceived control and perceived performance. The study involved three types of administration of a computerized English test for Spanish speakers (adaptive, easy adapti…
A Procedure for Estimating Intrasubject Behavior Consistency
Trait psychology implicitly assumes consistency of the personal traits. Mischel, however, argued against the idea of a general consistency of human beings. The present article aims to design a statistical procedure based on an adaptation of the π* statistic to measure the degree of intraindividual consistency independently of the measure used. Three studies were carried out for testing the suitability of the π* statistic and the proportion of sub…
Nominal Factor Analysis of Situational Judgment Tests
Situational judgment tests have gained popularity in educational and psychological measurement and are widely used in personnel assessment. A situational judgment item presents a hypothetical scenario and a list of actions, and the individuals are asked to select their most likely action for that scenario. Because actions have no explicit order, the item generates nominal responses consisting of the actions selected by the individuals. This artic…
Assessing Cutoff Values of SEM Fit Indices
Holding model misspecification constant, the behavior of fit indices depends on factors such as the number of variables being modeled (model size), and the average observed correlation (magnitude of factor loadings or measurement quality). We examine by simulation the interplay of these factors with sample size in CFA models. When a biased estimator of the fit index is used (CFI, TLI, or GFI), the behavior of the sample indices depends on sample …
Bayesian Estimation and Testing of a Beta Factor Model for Bounded Continuous Variables
The particularities of bounded data are often overlooked. This type of data is likely to display a pattern of skewness because of the existence of an upper and lower limit that cannot be exceeded. In the context of factor analysis, when variables are skewed in opposite directions, using normal-theory factor analysis might lead to over-factoring. We propose a Bayesian beta factor model to analyze doubly bounded data. A simulation study was conduct…
A Bayesian General Model to Account for Individual Differences in Operation-Specific Learning Within a Test
The present paper introduces a general multidimensional model to measure individual differences in learning within a single administration of a test. Learning is assumed to result from practicing the operations involved in solving the items. The model accounts for the possibility that the ability to learn may manifest differently for correct and incorrect responses, which allows for distinguishing different types of learning effects in the data. …
Statistics (7 works) · Mathematics (6 works) · Computer Science (5 works) · Econometrics (5 works) · Psychometric Methodologies and Testing (5 works) · Psychometrics (5 works) · Test (biology) (5 works) · Psychology (4 works) · Bayesian probability (3 works) · Computerized adaptive testing (3 works)