A Latent State-Trait Analysis of Current Achievement Motivation Across Different Tasks of Cognitive Ability

2017 ◽  
Vol 33 (5) ◽  
pp. 318-327
Author(s):  
Philipp Alexander Freund ◽  
Vanessa Katharina Jaensch ◽  
Franzis Preckel

Abstract. The current study investigates the behavior of task-specific, current achievement motivation (CAM: interest in the task, probability of success, perceived challenge, and fear of failure) across a variety of reasoning tasks featuring verbal, numerical, and figural content. CAM is conceptualized as a state-like variable, and in order to assess the relative stability of the four CAM variables across different tasks, latent state trait analyses are conducted. The major findings indicate that the degree of challenge a test taker experiences and the fear of failing a given task appear to be relatively stable regardless of the specific task utilized, whereas interest and probability of success are more directly influenced by task-specific characteristics and demands. Furthermore, task performance is related to task-specific interest and probability of success. We discuss the implications and benefits of these results with regard to the use of cognitive ability tests in general. Importantly, taking motivational differences between test takers into account appears to offer valuable information which helps to explain differences in task performance.

2011 ◽  
Author(s):  
Georgia Papantoniou ◽  
Despina Moraitou ◽  
Dimitra Filippidou ◽  
Magda Dinou ◽  
Effie Katsadima

1994 ◽  
Vol 47 (4) ◽  
pp. 715-738 ◽  
Author(s):  
THERESE HOFF MACAN ◽  
MARCIA J. AVEDON ◽  
MATTHEW PAESE ◽  
DAVID E. SMITH

2019 ◽  
Vol 93 ◽  
pp. 370-378 ◽  
Author(s):  
Michael Hermes ◽  
Frank Albers ◽  
Jan R. Böhnke ◽  
Gerrit Huelmann ◽  
Julia Maier ◽  
...  

Intelligence ◽  
2018 ◽  
Vol 67 ◽  
pp. 44-66 ◽  
Author(s):  
Jana Scharfen ◽  
Judith Marie Peters ◽  
Heinz Holling

2017 ◽  
Vol 78 (6) ◽  
pp. 1021-1055 ◽  
Author(s):  
Wendy Johnson ◽  
Ian J. Deary ◽  
Thomas J. Bouchard

Most study samples show less variability in key variables than do their source populations due most often to indirect selection into study participation associated with a wide range of personal and circumstantial characteristics. Formulas exist to correct the distortions of population-level correlations created. Formula accuracy has been tested using simulated normally distributed data, but empirical data are rarely available for testing. We did so in a rare data set in which it was possible: the 6-Day Sample, a representative subsample of 1,208 from the Scottish Mental Survey 1947 of cognitive ability in 1936-born Scottish schoolchildren (70,805). 6-Day Sample participants completed a follow-up assessment in childhood and were re-recruited for study at age 77 years. We compared full 6-Day Sample correlations of early-life variables with those of the range-restricted correlations in the later-participating subsample, before and after adjustment for direct and indirect range restriction. Results differed, especially for two highly correlated cognitive tests; neither reproduced full-sample correlations well due to small deviations from normal distribution in skew and kurtosis. Maximum likelihood estimates did little better. To assess these results’ typicality, we simulated sample selection and made similar comparisons using the 42 cognitive ability tests administered to the Minnesota Study of Twins Reared Apart, with very similar results. We discuss problems in developing further adjustments to offset range-restriction distortions and possible approaches to solutions.


2019 ◽  
Vol 22 ◽  
Author(s):  
Ioannis Nikolaou ◽  
Konstantina Georgiou ◽  
Vasiliki Kotsasarlidou

AbstractOur study explores the validity of a game-based assessment method assessing candidates’ soft skills. Using self-reported measures of performance, (job performance, Organizational Citizenship Behaviors (OCBs), and Great Point Average (GPA), we examined the criterion-related and incremental validity of a game-based assessment, above and beyond the effect of cognitive ability and personality. Our findings indicate that a game-based assessment measuring soft skills (adaptability, flexibility, resilience and decision making) can predict self-reported job and academic performance. Moreover, a game-based assessment can predict academic performance above and beyond personality and cognitive ability tests. The effectiveness of gamification in personnel selection is discussed along with research and practical implications introducing recruiters and HR professionals to an innovative selection technique.


2019 ◽  
Vol 73 (3) ◽  
pp. 517-542
Author(s):  
Christopher M. Berry ◽  
Peng Zhao ◽  
Juan Carlos Batarse ◽  
Craig Reddock

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