Forced-Choice Versus Likert Responses on an Occupational Big Five Questionnaire

2019 ◽  
Vol 40 (3) ◽  
pp. 134-148
Author(s):  
Luc Watrin ◽  
Mattis Geiger ◽  
Maik Spengler ◽  
Oliver Wilhelm

Abstract. Conventional self-report measures are prone to response biases, which distort measurement in any applied assessment. The forced-choice (FC) format was proposed as a potential remedy for these biases. The purpose of these studies was to develop and evaluate a FC questionnaire for the occupational context based on the five factor model of personality. A single-stimulus Likert questionnaire was contextualized for occupational settings and psychometrically optimized in Study 1 ( N = 401). Considering optimal design strategies, we subsequently used this questionnaire to construct and validate a FC questionnaire in Study 2 ( N = 517). Methodological add-ons to established approaches were applied to achieve decent confirmatory model fit. The new questionnaire shows good psychometric qualities and strong validity. We make suggestions for further applications and studies.

Author(s):  
Bjarne Schmalbach ◽  
Markus Zenger ◽  
Michalis P. Michaelides ◽  
Karin Schermelleh-Engel ◽  
Andreas Hinz ◽  
...  

Abstract. The common factor model – by far the most widely used model for factor analysis – assumes equal item intercepts across respondents. Due to idiosyncratic ways of understanding and answering items of a questionnaire, this assumption is often violated, leading to an underestimation of model fit. Maydeu-Olivares and Coffman (2006) suggested the introduction of a random intercept into the model to address this concern. The present study applies this method to six established instruments (measuring depression, procrastination, optimism, self-esteem, core self-evaluations, and self-regulation) with ambiguous factor structures, using data from representative general population samples. In testing and comparing three alternative factor models (one-factor model, two-factor model, and one-factor model with a random intercept) and analyzing differential correlational patterns with an external criterion, we empirically demonstrate the random intercept model’s merit, and clarify the factor structure for the above-mentioned questionnaires. In sum, we recommend the random intercept model for cases in which acquiescence is suspected to affect response behavior.


2010 ◽  
Vol 26 (3) ◽  
pp. 194-202 ◽  
Author(s):  
Daniel A. Newman ◽  
Christine A. Limbers ◽  
James W. Varni

The measurement of health-related quality of life (HRQOL) in children has witnessed significant international growth over the past decade in an effort to improve pediatric health and well-being, and to determine the value of health-care services. In order to compare international HRQOL research findings across language groups, it is important to demonstrate factorial invariance, i.e., that the items have an equivalent meaning across the language groups studied. This study examined the factorial invariance of child self-reported HRQOL across English- and Spanish-language groups in a Hispanic population of 2,899 children ages 8–18 utilizing the 23-item PedsQL™ 4.0 Generic Core Scales. Multigroup confirmatory factor analysis (CFA) was performed specifying a five-factor model across language groups. The findings support an equivalent 5-factor structure across English- and Spanish-language groups. Based on these data, it can be concluded that children across the two languages studied interpreted the instrument in a similar manner. The multigroup CFA statistical methods utilized in the present study have important implications for cross-cultural assessment research in children in which different language groups are compared.


2019 ◽  
Vol 33 (2) ◽  
pp. 249-261 ◽  
Author(s):  
Katharina Kolbeck ◽  
Steffen Moritz ◽  
Julia Bierbrodt ◽  
Christina Andreou

Ongoing research is shifting towards a dimensional understanding of borderline personality disorder (BPD). Aim of this study was to identify personality profiles in BPD that are predictive of self-destructive behaviors. Personality traits were assessed (n = 130) according to the five-factor model of personality (i.e., Neuroticism, Extraversion, Openness to Experience, Agreeableness, Conscientiousness) and an additional factor called Risk Preference. Self-destructive behavior parameters such as non-suicidal self-injury (NSSI) and other borderline typical dyscontrolled behaviors (e.g., drug abuse) were assessed by self-report measures. Canonical correlation analyses demonstrated that Neuroticism, Extraversion, and Conscientiousness are predictors of NSSI. Further, Neuroticism, Agreeableness, and Risk Preference were associated with dyscontrolled behaviors. Our results add further support on personality-relevant self-destructive behaviors in BPD. A combined diagnostic assessment could offer clinically meaningful insights about the causes of self-destruction in BPD to expand current therapeutic repertoires.


2019 ◽  
Author(s):  
Joshua R. Oltmanns ◽  
Thomas A. Widiger

The ICD-11 includes a dimensional model of personality disorder assessing five domains of maladaptive personality. To avoid unnecessary complexity, the ICD-11 model includes assessment of personality traits only at the domain level. A measure exists to assess the domains of the ICD-11 model (the Personality Inventory for ICD-11; PiCD), yet a more rich and useful assessment of personality is provided at the facet level. We used items from the scales assessing the five-factor model of personality disorder (FFMPD) to develop the Five-Factor Personality Inventory for ICD-11 (FFiCD), a new 121-item, 20-facet, self-report measure of the ICD-11 maladaptive personality domains at the facet level. Further, the FFiCD includes 47 short scales organized beneath the facets—at the “nuance” level. Items were selected and evaluated empirically across two independent data collections, and the resulting scales were further validated in a third data collection. Correlational and factor analytic results comparing the scales of the FFiCD to the five-factor model, PiCD, and Personality Inventory for DSM-5 (PID-5) supported the validity of the theoretical structure of the FFiCD and the ICD-11 model. The FFiCD may be a useful instrument for clinicians and researchers interested in a more specific assessment of maladaptive personality according to the dimensional ICD-11 personality disorder model.


2020 ◽  
Vol 46 (Supplement_1) ◽  
pp. S179-S179
Author(s):  
Mei San Ang ◽  
Gurpreet Rekhi ◽  
Jimmy Lee

Abstract Background The conceptualization of negative symptoms has been refined in the past decades. Two-factor model comprising Motivation and Pleasure (MAP) and Emotional Expressivity (EE), five-factor model representing five domains of negative symptoms and second-order five-factor model incorporating the two-factor and five-factor models (Anhedonia, Asociality and Avolition regressed on MAP; Blunted Affect and Alogia regressed on EE) have been suggested as latent structure of negative symptoms. In most studies, the item “Lack of Normal Distress” in the Brief Negative Symptom Scale (BNSS) did not fit well in factor models. Nevertheless, the reported correlation and item-total correlation of Distress with other negative symptom domains and BNSS items were not negligible. Emotion deficit was also discussed as a part of negative symptoms conceptualization. As a single item may not be sufficient to represent an underlying construct that is potentially abstract and complex, the Schedule for the Deficit Syndrome (SDS) which comprises “Diminished Emotional Range” that is conceptually relevant to the BNSS Distress was employed. The study aimed to reexamine the conceptualization of negative symptoms by examining the model fit of several models when BNSS Distress and SDS Emotion (EMO) were included in the models using confirmatory factor analyses (CFA). Methods Two-hundred and seventy-four schizophrenia outpatients aged 21–65 were assessed on the BNSS and SDS. In the two-factor models, Restricted Affect, Diminished Emotional Range and Poverty of Speech in SDS and all items in BNSS Blunted Affect and Alogia subscales were regressed on EE, Curbing of Interests, Diminished Sense of Purpose and Diminished Social Drive in SDS and all items in BNSS Anhedonia, Asociality and Avolition subscales were regressed on MAP, without EMO, or with EMO regressed on either EE or MAP. Five-factor models and second-order five-factor models were examined, with or without EMO. Lastly, a six-factor model with EMO manifested by the sixth factor and second-order six-factor models in which EMO was regressed on either EE or MAP were tested. Root mean square error of approximation (RMSEA) <0.08, comparative fit index (CFI) >0.95, the Tucker-Lewis Index (TLI) >0.95, and weighted root-mean-square residual (WRMR) <1.0 indicate good model fit. CFAs were conducted using Mplus version 7.4. Results The two-factor models did not yield adequate fit indices. Five-factor model and second-order five-factor model without EMO had good model fit; five-factor model: RMSEA=0.056 (0.044–0.068), CFI=0.996, TFI=0.995, WRMR=0.718; second-order five-factor model: RMSEA=0.049 (0.036–0.061), CFI=0.997, TFI=0.996, WRMR=0.758. When EMO was included as indicator in one of the factors in the five-factor models, only the model in which EMO was regressed on Alogia yielded adequate fit. Similarly, in the second-order five-factor models, adequate fit indices were observed only when EMO was regressed on Alogia and Blunted Affect. The six-factor model fitted the data well, RMSEA=0.053 (0.042–0.064), CFI=0.996, TFI=0.995, WRMR=0.711. Second-order six-factor model with EMO regressed on EE yielded better model fit than MAP, RMSEA=0.050 (0.039–0.061), CFI=0.996, TFI=0.995, WRMR=0.849. Discussion In line with previous studies, five-factor and second-order five-factor models without EMO fitted the data well. When EMO was included, a six-factor model and a second-order six-factor model in which the sixth factor was regressed on EE showed good model fit. Emotion, motivation and behavior are intertwined. Our results showed that diminished emotion may also be one of the components of negative symptoms, which had higher association with EE than MAP.


2014 ◽  
Vol 24 (4) ◽  
pp. 323-334 ◽  
Author(s):  
D. Stevanovic ◽  
R. Urbán ◽  
O. Atilola ◽  
P. Vostanis ◽  
Y. P. Singh Balhara ◽  
...  

Aims.This study evaluated the measurement invariance of the strengths and difficulties questionnaire (SDQ) self-report among adolescents from seven different nations.Methods.Data for 2367 adolescents, aged 13–18 years, from India, Indonesia, Nigeria, Serbia, Turkey, Bulgaria and Croatia were available for a series of factor analyses.Results.The five-factor model including original SDQ scales emotional symptoms, conduct problems, hyperactivity–inattention problems, peer problems and prosocial behaviour generated inadequate fit degree in all countries. A bifactor model with three factors (i.e., externalising, internalising and prosocial) and one general problem factor yielded adequate degree of fit in India, Nigeria, Turkey and Croatia. The prosocial behaviour, emotional symptoms and conduct problems factor were found to be common for all nations. However, originally proposed items loaded saliently on other factors besides the proposed ones or only some of them corresponded to proposed factors in all seven countries.Conclusions.Due to the lack of a common acceptable model across all countries, namely the same numbers of factors (i.e., dimensional invariance), it was not possible to perform the metric and scalar invariance test, what indicates that the SDQ self-report models tested lack appropriate measurement invariance across adolescents from these seven nations and it needs to be revised for cross-country comparisons.


2019 ◽  
Vol 1 (1) ◽  
pp. 303-316 ◽  
Author(s):  
Christian Montag ◽  
Kenneth L. Davis ◽  
Ljiljana B. Lazarevic ◽  
Goran Knezevic

AbstractThis short communication presents a Serbian version of the Affective Neuroscience Personality Scales (ANPS). The ANPS is a self-report measure assessing individual differences in primary emotional systems as derived from Jaak Panksepp’s Affective Neuroscience Theory. As a recent work by Montag & Panksepp (2017a) confirmed the original demonstration of strong associations between primary emotions and the Five-Factor Model of Personality (Davis et al., 2003) across different cultures (USA, Germany, China), we replicated these findings in a Serbian sample. Moreover, following the idea of a recent commentary of Di Domencio & Ryan (2017) on Montag & Panksepp’s (2017a), we present for the first time detailed associations between Five-Factor Model facets as assessed with the NEO-PI-R and primary emotions.


2005 ◽  
Vol 19 (4) ◽  
pp. 343-357 ◽  
Author(s):  
Stephanie D. Stepp ◽  
Timothy J. Trull ◽  
Rachel M. Burr ◽  
Mimi Wolfenstein ◽  
Angela Z. Vieth

This study examined the incremental validity of the Structured Interview for the Five‐Factor Model (SIFFM; Trull & Widiger, 1997) scores in the prediction of borderline, antisocial, and histrionic personality disorder symptoms above and beyond variance accounted for by scores from the Schedule for Nonadaptive and Adaptive Personality (SNAP; Clark, 1993), a self‐report questionnaire that includes items relevant to both normal (i.e. Big Three) and abnormal personality traits. Approximately 200 participants (52 clinical outpatients, and 149 nonclinical individuals from a borderline‐features‐enriched sample) completed the SIFFM, the SNAP, and select sections of the Personality Disorder Interview—IV (PDI‐IV; Widiger, Mangine, Corbitt, Ellis, & Thomas, 1995). We found support for the incremental validity of SIFFM scores, further indicating the clinical utility of this instrument. However, results also supported the incremental validity of SNAP scores in many cases. We discuss the implications of the findings in terms of dimensional approaches to personality disorder assessment. Copyright © 2005 John Wiley & Sons, Ltd.


2019 ◽  
Vol 10 ◽  
Author(s):  
Rodrigo Schames Kreitchmann ◽  
Francisco J. Abad ◽  
Vicente Ponsoda ◽  
Maria Dolores Nieto ◽  
Daniel Morillo

2005 ◽  
Vol 35 (1) ◽  
pp. 59-74 ◽  
Author(s):  
W. Michael Hooten ◽  
Troy D. Wolter ◽  
Steven C. Ames ◽  
Richard D. Hurt ◽  
Kristin S. Vickers ◽  
...  

Objective: The five-factor model of personality was used to describe the correlates of smoking abstinence. Methods: Following treatment in the Mayo Clinic Nicotine Dependence Center, the six month abstinence status was determined by self-report. Sixteen months to 2.4 years following the initial treatment evaluation, and 10 months to 1.9 years after the abstinence status was determined, 475 patients were mailed a Neuroticism, Extraversion, Openness, Five-Factor Inventory questionnaire. Ninety-nine abstinent and 151 smoking patients returned a completed questionnaire. Results: Multivariate analysis showed that low scores on neuroticism and openness were associated with tobacco abstinence. In addition, high scores on neuroticism and low scores on agreeableness and conscientiousness were associated with predictors of poor outcome including greater number of cigarettes smoked per day, initiation of smoking prior to age 18, and a Fagerström Test for Nicotine Dependence score of ≥ 6. Conclusions: Personality characteristics as predictors of smoking abstinence following treatment warrant further investigation in prospective clinical trails. Treatment matching using personality profiling as a guide may be a valuable tool for improving abstinence rates following treatment for nicotine dependence.


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