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Featured researches published by Matthias Stadler.


Thinking & Reasoning | 2015

Assessing complex problem-solving skills with multiple complex systems

Samuel Greiff; Andreas Fischer; Matthias Stadler; Sascha Wüstenberg

In this paper we propose the multiple complex systems (MCS) approach for assessing domain-general complex problem-solving (CPS) skills and its processes knowledge acquisition and knowledge application. After defining the construct and the formal frameworks for describing complex problems, we emphasise some of the measurement issues inherent in assessing CPS skills with single tasks (i.e., fixed item difficulty, low or unknown reliability, and a large impact of random errors). With examples of the MicroDYN test and the MicroFIN test (two instances of the MCS approach), we show how to adequately score problem-solving skills by using multiple tasks. We discuss implications for problem-solving research and the assessment of CPS skills in general.


Higher Education Research & Development | 2016

The complex route to success: complex problem-solving skills in the prediction of university success

Matthias Stadler; Nicolas Becker; Samuel Greiff; Frank M. Spinath

ABSTRACT Successful completion of a university degree is a complex matter. Based on considerations regarding the demands of acquiring a university degree, the aim of this paper was to investigate the utility of complex problem-solving (CPS) skills in the prediction of objective and subjective university success (SUS). The key finding of this study was that CPS was not only strongly correlated to objective university success but also explained university grade point averages (GPA) of N = 78 German business students even after intelligence and high-school GPA were controlled for. In addition, priority setting while working on a complex problem explained self-rated SUS. Given this incremental validity over the most established predictors of objective university success and its versatility, we argue that CPS may be a valuable addition to existing predictors in university applicant selection.


Journal of Intelligence | 2017

Sometimes More is Too Much: A Rejoinder to the Commentaries on Greiff et al. (2015)

Samuel Greiff; Matthias Stadler; Philipp Sonnleitner; Christian C. P. Wolff; Romain Martin

In this rejoinder, we respond to two commentaries on the study by Greiff, S.; Stadler, M.; Sonnleitner, P.; Wolff, C.; Martin, R. Sometimes less is more: Comparing the validity of complex problem solving measures. Intelligence 2015, 50, 100–113. The study was the first to address the important comparison between a classical measure of complex problem solving (CPS) and the more recent multiple complex systems (MCS) approach regarding their validity. In the study, we investigated the relations between one classical microworld as the initially developed method (here, the Tailorshop) with three more recently developed multiple complex systems (MCS; here, MicroDYN, Genetics Lab, and MicroFIN) tests. We found that the MCS tests showed higher levels of convergent validity with each other than with the Tailorshop even after reasoning was controlled for, thus empirically distinguishing between the two approaches. The commentary by Kretzschmar and the commentary by Funke, Fischer, and Holt expressed several concerns with how our study was conducted, our data was analyzed, and our results were interpreted. Whereas we acknowledge and agree with some of the more general statements made in these commentaries, we respectfully disagree with others, or we consider them to be at least partially in contrast with the existing literature and the currently available empirical evidence.


International Journal of Selection and Assessment | 2015

Costs and Benefits of Newcomer Adjustment Tactics

Helena D. Cooper-Thomas; Matthias Stadler

Research on information seeking, feedback seeking, and newcomer proactive behavior reveals that employees use various criteria in deciding how to act. This article investigates an integrative framework for such criteria proposed by Cooper-Thomas and Wilson, comprising three domains (performance, ego, social) and two factors (cost, benefit). Three independent scenario-based studies were used to test their model. The results supported some propositions of the model, such as the primacy of performance concerns, yet failed to support other propositions, with benefits consistently predominating over costs. Factors that might underlie the contradictory results were systematically controlled for, namely the sample, hypothetical scenario, and initial asset position. Theoretical and practical implications are discussed.


Intelligence | 2015

Complex Problem Solving and intelligence. A meta-analysis

Matthias Stadler; Nicolas Becker; Markus Gödker; Detlev Leutner; Samuel Greiff


Technology, Knowledge, and Learning | 2014

The Role of Strategy Knowledge for the Application of Strategies in Complex Problem Solving Tasks

Sascha Wüstenberg; Matthias Stadler; Jarkko Hautamäki; Samuel Greiff


Intelligence | 2015

Sometimes less is more: Comparing the validity of complex problem solving measures

Samuel Greiff; Matthias Stadler; Philipp Sonnleitner; Christian C. P. Wolff; Romain Martin


Journal of Vocational Behavior | 2014

The relative importance of proactive behaviors and outcomes for predicting newcomer learning, well-being, and work engagement

Helena D. Cooper-Thomas; Nicole L. Paterson; Matthias Stadler; Alan M. Saks


Computers in Human Behavior | 2016

Easily too difficult

Matthias Stadler; Christoph Niepel; Samuel Greiff


Personality and Individual Differences | 2016

Choosing between what you want now and what you want most: Self-control explains academic achievement beyond cognitive ability ☆

Matthias Stadler; Miriam Aust; Nicolas Becker; Christoph Niepel; Samuel Greiff

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Samuel Greiff

University of Luxembourg

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Thiemo Kunze

University of Luxembourg

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