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Dive into the research topics where Xuezhu Ren is active.

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Featured researches published by Xuezhu Ren.


Acta Psychologica | 2013

Process-based account for the effects of perceptual attention and executive attention on fluid intelligence: An integrative approach

Xuezhu Ren; Michael Altmeyer; Siegbert Reiss; Karl Schweizer

Perceptual attention and executive attention represent two higher-order types of attention and associate with distinctly different ways of information processing. It is hypothesized that these two types of attention implicate different cognitive processes, which are assumed to account for the differential effects of perceptual attention and executive attention on fluid intelligence. Specifically, an encoding process is assumed to be crucial in completing the tasks of perceptual attention while two executive processes, updating and shifting, are stimulated in completing the tasks of executive attention. The proposed hypothesis was tested by means of an integrative approach combining experimental manipulations and psychometric modeling. In a sample of 210 participants the encoding process has proven indispensable in completing the tasks of perceptual attention, and this process accounted for a considerable part of fluid intelligence that was assessed by two figural reasoning tests. In contrast, the two executive processes, updating and shifting, turned out to be necessary in performance according to the tasks of executive attention and these processes accounted for a larger part of the variance in fluid intelligence than that of the processes underlying perceptual attention.


Multivariate Behavioral Research | 2015

Models for the Detection of Deviations from the Expected Processing Strategy in Completing the Items of Cognitive Measures

Karl Schweizer; Michael Altmeyer; Xuezhu Ren; Michael Schreiner

This paper presents confirmatory factor models with fixed factor loadings that enable the identification of deviations from the expected processing strategy. The instructions usually define the expected processing strategy to a considerable degree. Simplification is a deviation from instructions that is likely to occur in complex cognitive measures. Since simplification impairs the validity of the measure, its identification is important. Models representing simplicity and instruction-based processing strategies were considered in investigating the data of 345 participants obtained by a working memory measure in order to find out whether and how the use of these strategies influences model-data fit. As expected, the consideration of simplicity strategies improved the model-data fit achieved for the instruction-based strategy.


Advances in Cognitive Psychology | 2015

The Prediction of Students' Academic Performance With Fluid Intelligence in Giving Special Consideration to the Contribution of Learning.

Xuezhu Ren; Karl Schweizer; Tengfei Wang; Fen Xu

The present study provides a new account of how fluid intelligence influences academic performance. In this account a complex learning component of fluid intelligence tests is proposed to play a major role in predicting academic performance. A sample of 2, 277 secondary school students completed two reasoning tests that were assumed to represent fluid intelligence and standardized math and verbal tests assessing academic performance. The fluid intelligence data were decomposed into a learning component that was associated with the position effect of intelligence items and a constant component that was independent of the position effect. Results showed that the learning component contributed significantly more to the prediction of math and verbal performance than the constant component. The link from the learning component to math performance was especially strong. These results indicated that fluid intelligence, which has so far been considered as homogeneous, could be decomposed in such a way that the resulting components showed different properties and contributed differently to the prediction of academic performance. Furthermore, the results were in line with the expectation that learning was a predictor of performance in school.


Learning and Individual Differences | 2012

How does attention relate to the ability-specific and position-specific components of reasoning measured by APM?

Xuezhu Ren; Frank Goldhammer; Helfried Moosbrugger; Karl Schweizer


Learning and Individual Differences | 2014

A learning-based account of fluid intelligence from the perspective of the position effect

Xuezhu Ren; Tengfei Wang; Michael Altmeyer; Karl Schweizer


Intelligence | 2013

The sources of the relationship between sustained attention and reasoning

Xuezhu Ren; Karl Schweizer; Fen Xu


Intelligence | 2013

An account of the relationship between fluid intelligence and complex learning in considering storage capacity and executive attention

Tengfei Wang; Xuezhu Ren; Michael Altmeyer; Karl Schweizer


Psychological test and assessment modeling | 2013

The position effect in tests with a time limit: the consideration of interruption and working speed

Karl Schweizer; Xuezhu Ren


International Journal of Statistics and Probability | 2015

Does the Constraint of Factor Loadings Impair Model Fit and Accuracy in Parameter Estimation

Karl Schweizer; Xuezhu Ren; Tengfei Wang; Florian Zeller


Learning and Individual Differences | 2013

An account of performance in accessing information stored in long-term memory. A fixed-links model approach

Michael Altmeyer; Karl Schweizer; Siegbert Reiss; Xuezhu Ren; Michael Schreiner

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Karl Schweizer

Goethe University Frankfurt

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Michael Altmeyer

Goethe University Frankfurt

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Tengfei Wang

Goethe University Frankfurt

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Michael Schreiner

Goethe University Frankfurt

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Siegbert Reiss

Goethe University Frankfurt

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Fen Xu

Zhejiang Sci-Tech University

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Florian Zeller

Goethe University Frankfurt

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Frank Goldhammer

Goethe University Frankfurt

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