SGR Modeling of Correlational Effects in Fake Good Self-report Measures

Verfasser / Beitragende:
[Luigi Lombardi, Massimiliano Pastore, Massimo Nucci, Andrea Bobbio]
Ort, Verlag, Jahr:
2015
Enthalten in:
Methodology and Computing in Applied Probability, 17/4(2015-12-01), 1037-1055
Format:
Artikel (online)
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024 7 0 |a 10.1007/s11009-014-9427-2  |2 doi 
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245 0 0 |a SGR Modeling of Correlational Effects in Fake Good Self-report Measures  |h [Elektronische Daten]  |c [Luigi Lombardi, Massimiliano Pastore, Massimo Nucci, Andrea Bobbio] 
520 3 |a In many self-report measures (i.e., personality survey items and diagnostic test items) the collected samples often include fake records. A case of particular interest in selfreport measures is the presence of caricature effects in participants' responses under faking good motivation conditions. We say that a pattern of fake responses is a caricature pattern if it shows higher structural intercorrelations among faked items relative to the expected intercorrelations under the corresponding uncorrupted responses. In this paper we generalized a recent probabilistic perturbation procedure, called SGR - Sample Generation by Replacements - (Lombardi and Pastore (2012) Multivar Behav Res 47:519-546), to simulate caricature effects in fake good responses. To represent this particular faking behavior we proposed a novel extension of the SGR conditional replacement distribution which is based on a discrete version of the truncated multivariate normal distribution. We also applied the new procedure to real behavioral data on the role of perceived affective self-efficacy in social contexts and on self-report behaviors in reckless driving. 
540 |a Springer Science+Business Media New York, 2014 
690 7 |a Sample generation by replacement  |2 nationallicence 
690 7 |a Fake-good data  |2 nationallicence 
690 7 |a Truncated multivariate normal distribution  |2 nationallicence 
690 7 |a Correlational structures  |2 nationallicence 
690 7 |a Caricature effect  |2 nationallicence 
700 1 |a Lombardi  |D Luigi  |u Department of Psychology and Cognitive Science, University of Trento, corso Bettini, 31, 38068, Rovereto, (TN), Italy  |4 aut 
700 1 |a Pastore  |D Massimiliano  |u Department of Developmental and Social Psychology, University of Padova, via Venezia, 8, 35131, Padova, Italy  |4 aut 
700 1 |a Nucci  |D Massimo  |u Department of General Psychology, University of Padova, via Venezia, 8, 35131, Padova, Italy  |4 aut 
700 1 |a Bobbio  |D Andrea  |u Department of Philosophy, Sociology, Education and Applied Psychology, University of Padova, via Venezia, 8, 35131, Padova, Italy  |4 aut 
773 0 |t Methodology and Computing in Applied Probability  |d Springer US; http://www.springer-ny.com  |g 17/4(2015-12-01), 1037-1055  |x 1387-5841  |q 17:4<1037  |1 2015  |2 17  |o 11009 
856 4 0 |u https://doi.org/10.1007/s11009-014-9427-2  |q text/html  |z Onlinezugriff via DOI 
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908 |D 1  |a research-article  |2 jats 
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950 |B NATIONALLICENCE  |P 700  |E 1-  |a Lombardi  |D Luigi  |u Department of Psychology and Cognitive Science, University of Trento, corso Bettini, 31, 38068, Rovereto, (TN), Italy  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Pastore  |D Massimiliano  |u Department of Developmental and Social Psychology, University of Padova, via Venezia, 8, 35131, Padova, Italy  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Nucci  |D Massimo  |u Department of General Psychology, University of Padova, via Venezia, 8, 35131, Padova, Italy  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Bobbio  |D Andrea  |u Department of Philosophy, Sociology, Education and Applied Psychology, University of Padova, via Venezia, 8, 35131, Padova, Italy  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Methodology and Computing in Applied Probability  |d Springer US; http://www.springer-ny.com  |g 17/4(2015-12-01), 1037-1055  |x 1387-5841  |q 17:4<1037  |1 2015  |2 17  |o 11009