Speed- and accuracy-related measures of an intelligence test are differentially predicted by the speed and accuracy measures of a cognitive task

Borter, Natalie; Troche, Stefan J.; Rammsayer, Thomas

doi:10.1016/j.intell.2018.09.001

Cited by 8 publications

(5 citation statements)

References 35 publications

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“…It is assumed to be able to predict students' success in recognizing symbols, reading, information processing, and more importantly, their intelligence. Research shows that intelligence is predicted by speed and accuracy (Borter, Troche, & Rammsayer, 2018).…”

Section: Resultsmentioning

confidence: 99%

Psychometric Properties of Speed Processing Ability Test: A Pilot Project

Andriani

Hadi

Purwono

et al. 2019

JEHCP

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This study investigates the psychometric properties of a Cattel-Horn-Carroll theory-based processing speed ability test. According to the theory, processing speed ability, which has three narrow abilities (i.e., perceptual speed, number facility, and rate of test taking) supports and has a significant impact on general intelligence (about 0.7). A trial was conducted involving 137 people to test the quality of 299 composed items. Item selection and test reliability estimation were based on data analysis using ITEMAN. The result shows that the tests under investigation have sufficient psychometric properties and adequate reliability.

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Section: Resultsmentioning

confidence: 99%

Psychometric Properties of Speed Processing Ability Test: A Pilot Project

Andriani

Hadi

Purwono

et al. 2019

JEHCP

View full text Add to dashboard Cite

show abstract

“…Participants were 67 men and 133 women ranging in age from 17 to 30 years (M = 22.6, SD = 2.5 years), who were also subjects in the study by Borter et al (2018) on another research question. A total of 149 participants were university students and 51 participants did not have secondary education.…”

Section: Participantsmentioning

confidence: 99%

How Speededness of a Reasoning Test and the Complexity of Mental Speed Tasks Influence the Relation between Mental Speed and Reasoning Ability

2023

Self Cite

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Although previous research has consistently reported a positive association between mental speed and reasoning ability, it remains unclear whether the magnitude of this association depends on whether the reasoning test is administered with or without a time limit. In addition, it is unknown how mental speed task complexity affects the mental speed–reasoning association when the effects of time limitations in the reasoning test (labeled “speededness”) are controlled for. The present study examined these questions in a sample of 200 participants who completed the time-limited Culture Fair Test (CFT) and a Hick task with three levels of complexity to measure mental speed. Results showed that the latent correlation between mental speed and reasoning was slightly lower when the effect of speededness in reasoning was statistically controlled for. However, for both controlled and uncontrolled reasoning, the correlation with mental speed was of medium size and statistically significant. When reasoning was controlled for the effects of speededness, only complexity-related mental speed aspects were correlated with reasoning, whereas basic mental speed aspects were correlated with the speededness factor and unrelated to reasoning. These findings demonstrate that time limitations in reasoning tests and complexity in mental speed tasks affect the magnitude of the mental speed–reasoning association.

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“…Rather, other constructs or sources of method effects additionally need to be represented as part of the model of measurement in order to account for the observed variation. For example, in reasoning scales, speed effects, difficulty effects, and item-position effects have been found to account for the response variation besides reasoning (e.g., Borter, Troche, & Rammsayer, 2018; Lozano, 2015; Zeller, Reiss, & Schweizer, 2017). Regarding questionnaires, the sources of the item wording and item position effects have been found to exert an additional influence on responding so that the one-factor model considering the trait only is likely to fail in an investigation into such data (e.g., Distefano & Motl, 2006; Knowles, 1988).…”

Section: Scaling Of the Variances Of Latent Variablesmentioning

confidence: 99%

The EV Scaling Method for Variances of Latent Variables

Schweizer

Troche

2019

Methodology

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Abstract. The paper describes EV scaling for variances of latent variables included in confirmatory factor models. EV-scaled variances can be achieved in two ways: the estimation of variance parameters based on adjusted factor loadings and alternatively the summation of squared factor loadings obtained under the condition that the variance parameter is set equal to one. By definition, the second procedure yields values that are always positive. EV-scaled variances of latent variables show sizes similar to eigenvalues. The outcome of applying this scaling method is demonstrated in empirical data. The results of a simulation study reveal that the outcomes of the two ways virtually always correspond if the data are generated to include the contribution of a latent source. If there is no such source, the exclusion of solutions with negative error variances virtually always leads to correspondence.

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Speed- and accuracy-related measures of an intelligence test are differentially predicted by the speed and accuracy measures of a cognitive task

Cited by 8 publications

References 35 publications

Psychometric Properties of Speed Processing Ability Test: A Pilot Project

Psychometric Properties of Speed Processing Ability Test: A Pilot Project

How Speededness of a Reasoning Test and the Complexity of Mental Speed Tasks Influence the Relation between Mental Speed and Reasoning Ability

The EV Scaling Method for Variances of Latent Variables

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