2014
DOI: 10.1177/0165025414553136
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Social and non-social fear in preschoolers and prospective associations with lying about cheating

Abstract: Little is known about the development of children's lying. The present study examined whether observed social and non-social fear in preschoolers predicts children's consistent cheating (N ¼ 460; M ¼ 4.3 years of age) and consistent lying about cheating. When left alone, 155 (34%) children cheated in both games conducted. Of these consistently cheating children, 54 (35%) children lied about their cheating after both games, whereas the remaining 101 children confessed to cheating after at least one game. Childr… Show more

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Cited by 4 publications
(3 citation statements)
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References 47 publications
(130 reference statements)
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“…Three minutes later, the research assistant came back and handed the child one to four stamps and registered the number of balls on the board. Three undergraduate students were trained to code the videotapes on cheating behavior of the child together with the first author of this paper, using a coding scheme based on Zwirs et al (2015). There were three categories of cheating behavior (1) no cheating, (2) possible intention to cheat, and (3) cheating.…”
Section: Methodsmentioning
confidence: 99%
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“…Three minutes later, the research assistant came back and handed the child one to four stamps and registered the number of balls on the board. Three undergraduate students were trained to code the videotapes on cheating behavior of the child together with the first author of this paper, using a coding scheme based on Zwirs et al (2015). There were three categories of cheating behavior (1) no cheating, (2) possible intention to cheat, and (3) cheating.…”
Section: Methodsmentioning
confidence: 99%
“…CFI and TLI values above .95 and RMSEA values lower than .05 indicate that the data fit the model well (Ullman, 2001). Because of the categorical nature of cheating behavior, only few fit indices were available for this outcome variable (Muthén & Muthén, 1998-2015. To compare nested models, we used the χ² difference test for the difference in Log Likelihood with a scaling correction factor that is used for MLR estimation.…”
Section: Analysis Planmentioning
confidence: 99%
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