References of "Zimmer, Hubert D"
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See detailWhy are difficult figural matrices hard to solve? The role of selective encoding and working memory capacity
Krieger, Florian UL; Zimmer, Hubert D.; Greiff, Samuel UL et al

in Intelligence (2019), 72

It is well documented that figural matrices tests are harder to solve when multiple rules need to be induced because multiple rules are traditionally associated with a greater demand for dynamically ... [more ▼]

It is well documented that figural matrices tests are harder to solve when multiple rules need to be induced because multiple rules are traditionally associated with a greater demand for dynamically managed sub-goals (goal management), which requires more working memory capacity (WMC). The current research addresses the necessity to apply selective encoding as a requirement that goes beyond the ability to manage goals when solving figural matrices. In the first study (N = 38), we found that selective encoding demands are present in items with multiple rules in addition to goal management demands. Furthermore, eye movement data indicated that rule induction was hampered when selective encoding demands were present. The second study (N = 127) de-monstrated that individuals' ability to filter relevant features in working memory was positively related to figural matrices items with selective encoding demands. Moreover, there was no evidence that other sources of WMC are related to goal management in figural matrices. Hence, this study provides preliminary evidence that fil-tering of relevant information in working memory is critical for solving figural matrices with multiple rules and challenges the view that goal management is the only driver of the relationship between WMC and performance in solving figural matrices with multiple rules. [less ▲]

Detailed reference viewed: 70 (7 UL)
See detailIs the Correlation between Storage Capacity and Matrix Reasoning Driven by the Storage of Partial Solutions? A Pilot Study of an Experimental Approach
Krieger, Florian UL; Zimmer, Hubert D.; Becker, Nicolas et al

in Journal of Intelligence (2017), 5(2), 21

Working memory capacity (WMC) and reasoning abilities—as assessed by figural matrices tests—are substantially correlated. It is controversially discussed whether this correlation is only caused by ... [more ▼]

Working memory capacity (WMC) and reasoning abilities—as assessed by figural matrices tests—are substantially correlated. It is controversially discussed whether this correlation is only caused by controlled attention or also by storage capacity. This study aims at investigating storage of partial solutions as a possible mechanism by which storage capacity may contribute to solving figural matrices tests. For this purpose, we analyzed how an experimental manipulation of storage demands changes the pattern of correlations between WMC and performance in a matrix task. We manipulated the storage demands by applying two test formats: one providing the externalization of partial solutions and one without the possibility of externalization. Storage capacity was assessed by different types of change detection tasks. We found substantial correlations between storage capacity and matrices test performance, but they were of comparable size for both test formats. We take this as evidence that the necessity to store partial solutions is not the limiting factor which causes the association between storage capacity and matrices test. It is discussed how this approach can be used to investigate alternative mechanisms by that storage may influence performance in matrices tests. [less ▲]

Detailed reference viewed: 46 (1 UL)
See detailWorking memory capacity, filter efficiency and matrix reasoning.
Krieger, Florian UL; Zimmer, Hubert D.; Becker, Nicolas et al

Poster (2016, July)

Detailed reference viewed: 15 (2 UL)
See detailDas Speichern von Zwischenlösungen. Ein potentieller Moderator für den Zusammenhang zwischen Arbeitsgedächtniskapazität und der Leistung in figuralen Matrizenaufgaben.
Krieger, Florian UL; Becker, Nicolas; Zimmer, Hubert D. et al

Scientific Conference (2015, May)

Theoretische Ansätze sehen die Anzahl der Regeln in einer Matrizenaufgabe als eine der Determinanten für die Belastung des Arbeitsgedächtnisses. Eine mögliche Ursache könnte das Speichern von Teillösungen ... [more ▼]

Theoretische Ansätze sehen die Anzahl der Regeln in einer Matrizenaufgabe als eine der Determinanten für die Belastung des Arbeitsgedächtnisses. Eine mögliche Ursache könnte das Speichern von Teillösungen bei Matrizenaufgaben mit mehreren Regeln sein. In der vorliegenden Studie wurde untersucht, ob Personen mit einer hohen Arbeitsgedächtniskapazität durch das Speichern von Teillösungen bei der Lösung von Matrizenaufgaben profitieren. Hierzu wurde in einem Innerhalb-Design den Testpersonen (N=84) eine Matrizentestversion präsentiert, bei der das Arbeitsgedächtnis belastet werden sollte, indem die Teillösungen vor der Eingabe mental aufrechterhalten werden mussten. Zudem wurde eine Version präsentiert, in der Teillösungen direkt eingegeben werden konnten, was zu einer Entlastung des Arbeitsgedächtnisses führen sollte. Beide Matrizentestversionen zeigen einen moderaten Zusammenhang mit der Arbeitsgedächtniskapazität. Allerdings zeigen sich keine Unterschiede zwischen den beiden Korrelationen, was als Evidenz gewertet werden kann, dass das Speichern von Teillösungen keinen bedeutsamen Moderator für den Zusammenhang von Arbeitsgedächtniskapazität und der Leistung in einem Matrizentest darstellt. [less ▲]

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