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Overlapping dimensional phenotypes of impulsivity and compulsivity explain co-occurrence of addictive and related behaviors

Published online by Cambridge University Press:  21 November 2018

Jeggan Tiego*
Affiliation:
Brain and Mental Health Research Hub, Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
Sanne Oostermeijer
Affiliation:
Brain and Mental Health Research Hub, Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Clayton, Victoria, Australia VU University Medical Centre Amsterdam, Child and Adolescent Psychiatry, Amsterdam, the Netherlands
Luisa Prochazkova
Affiliation:
Brain and Mental Health Research Hub, Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Clayton, Victoria, Australia Leiden University, Institute for Psychological Research & Leiden Institute for Brain and Cognition, Leiden, the Netherlands
Linden Parkes
Affiliation:
Brain and Mental Health Research Hub, Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
Andrew Dawson
Affiliation:
Brain and Mental Health Research Hub, Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
George Youssef
Affiliation:
Brain and Mental Health Research Hub, Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Clayton, Victoria, Australia Cognitive Neuroscience Unit, School of Psychology, Deakin University, Geelong, Australia Centre for Adolescent Health, Murdoch Children’s Research Institute, Parkville, Australia
Erin Oldenhof
Affiliation:
Brain and Mental Health Research Hub, Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
Adrian Carter
Affiliation:
Brain and Mental Health Research Hub, Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
Rebecca A. Segrave
Affiliation:
Brain and Mental Health Research Hub, Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
Leonardo F. Fontenelle
Affiliation:
Brain and Mental Health Research Hub, Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Clayton, Victoria, Australia Obsessive, Compulsive, and Anxiety Spectrum Research Program, Institute of Psychiatry, Federal University of Rio de Janeiro, Brazil D’Or Institute for Research and Education, Rio de Janeiro, Brazil
Murat Yücel
Affiliation:
Brain and Mental Health Research Hub, Monash Institute of Cognitive and Clinical Neurosciences and School of Psychological Sciences, Monash University, Clayton, Victoria, Australia
*
*Correspondence regarding this article should be addressed to Jeggan Tiego, Brain and Mental Health Research Hub, 770 Blackburn Road, Clayton, Victoria 3800, Australia. (Email: jeggan.tiego@monash.edu)

Abstract

Objective

Impulsivity and compulsivity have been implicated as important transdiagnostic dimensional phenotypes with potential relevance to addiction. We aimed to develop a model that conceptualizes these constructs as overlapping dimensional phenotypes and test whether different components of this model explain the co-occurrence of addictive and related behaviors.

Methods

A large sample of adults (N = 487) was recruited through Amazon’s Mechanical Turk and completed self-report questionnaires measuring impulsivity, intolerance of uncertainty, obsessive beliefs, and the severity of 6 addictive and related behaviors. Hierarchical clustering was used to organize addictive behaviors into homogenous groups reflecting their co-occurrence. Structural equation modeling was used to evaluate fit of the hypothesized bifactor model of impulsivity and compulsivity and determine the proportion of variance explained in the co-occurrence of addictive and related behaviors by each component of the model.

Results

Addictive and related behaviors clustered into 2 distinct groups: Impulse-Control Problems, consisting of harmful alcohol use, pathological gambling, and compulsive buying, and Obsessive-Compulsive-Related Problems, consisting of obsessive-compulsive symptoms, binge eating, and internet addiction. The hypothesized bifactor model of impulsivity and compulsivity provided the best empirical fit, with 3 uncorrelated factors corresponding to a general Disinhibition dimension, and specific Impulsivity and Compulsivity dimensions. These dimensional phenotypes uniquely and additively explained 39.9% and 68.7% of the total variance in Impulse-Control Problems and Obsessive-Compulsive-Related Problems.

Conclusion

A model of impulsivity and compulsivity that represents these constructs as overlapping dimensional phenotypes has important implications for understanding addictive and related behaviors in terms of shared etiology, comorbidity, and potential transdiagnostic treatments.

Type
Original Research
Copyright
© Cambridge University Press 2018 

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Footnotes

Jeggan Tiego and Sanne Oostermeijer are both first authors.

References

Morris, LS, Voon, V. Dimensionality of cognitions in behavioral addiction. Curr Behav Neurosci Rep. 2016;3(1):4957.CrossRefGoogle ScholarPubMed
Hollander, E, Rosen, J Obsessive-compulsive spectrum disorders: a review. In: Maj M, Sartorius N, Okasha A, Zohar J, eds. Obsessive-Compulsive Disorder. 2nd ed. West Sussex, UK: John Wiley & Sons Ltd.; 2002:203224.Google ScholarPubMed
Fineberg, NA, Potenza, MN, Chamberlain, SR, et al. Probing compulsive and impulsive behaviors, from animal models to endophenotypes: a narrative review. Neuropsychopharmacology. 2010;35(3):591604.CrossRefGoogle ScholarPubMed
Black, DW. Compulsive buying disorder: a review of the evidence. CNS Spectr 2014;12(2):124132.CrossRefGoogle Scholar
Fineberg, NA, Chamberlain, SR, Goudriaan, AE, et al. New developments in human neurocognition: clinical, genetic, and brain imaging correlates of impulsivity and compulsivity. CNS Spectr 2014;19(1):6989.CrossRefGoogle ScholarPubMed
Krueger, RF, DeYoung, CG. The RDoC initiative and the structure of psychopathology. Psychophysiology. 2016;53(3):351354.CrossRefGoogle ScholarPubMed
Kotov, R, Krueger, RF, Watson, D, et al. The hierarchical taxonomy of psychopathology (HiTOP): a dimensional alternative to traditional nosologies. J Abnorm Psychol. 2017;126(4):454477.CrossRefGoogle ScholarPubMed
Robbins, TW, Gillan, CM, Smith, DG, de Wit, S, Ersche, KD. Neurocognitive endophenotypes of impulsivity and compulsivity: towards dimensional psychiatry. Trends Cogn Sci. 2012;16(1):8191.CrossRefGoogle ScholarPubMed
Krueger, RE, Markon, KE. Reinterpreting comorbidity: a model-based approach to understanding and classifying psychopathology. Ann Rev Clin Psychol. 2006;2(1):111133.CrossRefGoogle ScholarPubMed
Rodriguez-Seijas, C, Eaton, NR, Krueger, RF. How transdiagnostic factors of personality and psychopathology can inform clinical assessment and intervention. J Pers Assess. 2015;97(5):425435.CrossRefGoogle ScholarPubMed
Dalley, JW, Everitt, BJ, Robbins, TW Impulsivity, compulsivity, and top-down cognitive control. Neuron. 2011;69(4):680694.CrossRefGoogle ScholarPubMed
Moeller, FG, Barratt, ES, Dougherty, DM, Schmitz, JM, Swann, AC. Psychiatric aspects of impulsivity. Am J Psychiatry. 2001;158(11):17831793.CrossRefGoogle ScholarPubMed
Hollander, E. Obsessive-compulsive spectrum disorders: an overview. Psychiatr Ann. 1993;23(7):355358.CrossRefGoogle Scholar
Hollander, E, Benzaquen, DS. The obsessive compulsive spectrum disorders. Int Rev Psychiatry. 1997;9(1):99110.CrossRefGoogle Scholar
Grant, JE, Kim, SW. Comorbidity of impulse control disorders in pathological gamblers. Acta Psychiatr Scand. 2003;108(3):203207.CrossRefGoogle ScholarPubMed
Black, DW, Coryell, W, Crowe, R, Shaw, M, McCormick, B, Allen, J. The relationship of DSM-IV pathological gambling to compulsive buying and other possible spectrum disorders: results from the Iowa PG family study. Psychiatry Res. 2015;226(1):273276.CrossRefGoogle ScholarPubMed
Ruscio, AM, Stein, DJ, Chiu, WT, Kessler, RC. The epidemiology of obsessive-compulsive disorder in the National Comorbidity Survey Replication. Mol Psychiatry. 2010;15(1):5363.CrossRefGoogle ScholarPubMed
Chamberlain, SR, Stochl, J, Redden, SA, Grant, JE. Latent traits of impulsivity and compulsivity: toward dimensional psychiatry. Psychol Med. 2017;48(5):112.Google ScholarPubMed
Gillan, CM, Kosinski, M, Whelan, R, Phelps, EA, Daw, ND. Characterizing a psychiatric symptom dimension related to deficits in goal-directed control. eLife. 2016;5:e11305.CrossRefGoogle ScholarPubMed
Cyders, MA, Coskunpinar, A. Measurement of constructs using self-report and behavioral lab tasks: is there overlap in nomothetic span and construct representation for impulsivity? Clin Psychol Rev. 2011;31(6):965982.CrossRefGoogle ScholarPubMed
Hedge, C, Powell, G, Sumner, P. The reliability paradox: why robust cognitive tasks do not produce reliable individual differences. Behav Res Methods. 2018;50(3):11661186.CrossRefGoogle Scholar
Cyders, MA, Smith, GT, Spillane, NS, Fischer, S, Annus, AM, Peterson, C. Integration of impulsivity and positive mood to predict risky behavior: development and validation of a measure of positive urgency. Psychol Assess. 2007;19(1):107118.CrossRefGoogle ScholarPubMed
Whiteside, SP, Lynam, DR. The Five Factor Model and impulsivity: using a structural model of personality to understand impulsivity. Personality and Individual Differences. 2001;30(4):669689.CrossRefGoogle Scholar
Stanford, MS, Mathias, CW, Dougherty, DM, Lake, SL, Anderson, NE, Patton, JH. Fifty years of the Barratt Impulsiveness Scale: an update and review. Personality and Individual Differences. 2009;47(5):385395.CrossRefGoogle Scholar
Tolin, DF, Abramowitz, JS, Brigidi, BD, Foa, EB. Intolerance of uncertainty in obsessive-compulsive disorder. J Anxiety Disord. 2003;17(2):233242.CrossRefGoogle ScholarPubMed
Gentes, EL, Ruscio, AM. A meta-analysis of the relation of intolerance of uncertainty to symptoms of generalized anxiety disorder, major depressive disorder, and obsessive-compulsive disorder. Clin Psychol Rev. 2011;31(6):923933.CrossRefGoogle ScholarPubMed
Obsessive Compulsive Cognitions Working Group. Psychometric validation of the Obsessive Beliefs Questionnaire and the Interpretation of Intrusions Inventory. Part 2: factor analyses and testing of a brief version. Behav Res Ther. 2005;43(11):15271542.CrossRefGoogle Scholar
Chamberlain, SR, Leppink, EW, Redden, SA, Grant, JE. Are obsessive–compulsive symptoms impulsive, compulsive or both? Compr Psychiatry. 2016;68(Suppl C):111118.CrossRefGoogle ScholarPubMed
Gillan, CM, Daw, ND. Taking psychiatry research online. Neuron 2016;91(1):1923.CrossRefGoogle ScholarPubMed
Reise, SP. The rediscovery of bifactor measurement models. Multivariate Behav Res. 2012;47(5):667696.CrossRefGoogle ScholarPubMed
Myers, SG, Fisher, PL, Wells, A. Belief domains of the Obsessive Beliefs Questionnaire-44 (OBQ-44) and their specific relationship with obsessive-compulsive symptoms. J Anxiety Disord. 2008;22(3):475484.CrossRefGoogle ScholarPubMed
Carleton, RN, Norton, MA, Asmundson, GJ. Fearing the unknown: a short version of the Intolerance of Uncertainty Scale. J Anxiety Disord. 2007;21(1):105117.CrossRefGoogle Scholar
Birrell, J, Meares, K, Wilkinson, A, Freeston, M. Toward a definition of intolerance of uncertainty: a review of factor analytical studies of the Intolerance of Uncertainty Scale. Clin Psychol Rev. 2011;31(7):11981208.CrossRefGoogle Scholar
Saunders, JB, Aasland, OG, Babor, TF, De La Fuente, JR, Grant, M. Development of the Alcohol Use Disorders Identification Test (AUDIT): WHO collaborative project on early detection of persons with harmful alcohol consumption-II. Addiction. 1993;88(6):791804.CrossRefGoogle Scholar
Holtgraves, T. Evaluating the problem gambling severity index. J Gambl Stud. 2009;25(1):105120.CrossRefGoogle ScholarPubMed
Faber, RJ, O’Guinn, TC. A clinical screener for compulsive buying. Journal of Consumer Research. 1992 ; 19(3):459469.CrossRefGoogle Scholar
Foa, EB, Huppert, JD, Leiberg, S, et al. The Obsessive-Compulsive Inventory: development and validation of a short version. Psychol Assess. 2002;14(4):485496.CrossRefGoogle ScholarPubMed
Gormally, J, Black, S, Daston, S, Rardin, D. The assessment of binge eating severity among obese persons. Addict Behav. 1982;7(1):4755.CrossRefGoogle ScholarPubMed
Caplan, SE. Problematic Internet use and psychosocial well-being: development of a theory-based cognitive-behavioral measurement instrument. Computers in Human Behavior. 2002;18(5):553575.CrossRefGoogle Scholar
Caplan, SE. Theory and measurement of generalized problematic internet use: a two-step approach. Computers in Human Behavior. 2010;26(5):10891097.CrossRefGoogle Scholar
Reinert, DF, Allen, JP. The Alcohol Use Disorders Identification Test: an update of research findings. Alcohol Clin Exp Res. 2007;31(2):185199.CrossRefGoogle ScholarPubMed
Reinert, DF, Allen, JP. The Alcohol Use Disorders Identification Test (AUDIT): a review of recent research. Alcohol Clin Exp Res. 2002;26(2):272279.CrossRefGoogle ScholarPubMed
Müller, A, Mitchell, JE, de Zwaan, M. Compulsive buying. Am J Addict. 2015;24(2):132137.CrossRefGoogle ScholarPubMed
Duarte, C, Pinto-Gouveia, J, Ferreira, C. Expanding binge eating assessment: validity and screening value of the Binge Eating Scale in women from the general population. Eat Behav. 2015;18:4147.CrossRefGoogle ScholarPubMed
Laconi, S, Rodgers, RF, Chabrol, H. The measurement of Internet addiction: a critical review of existing scales and their psychometric properties. Computers in Human Behavior. 2014;41(Suppl C):190202.CrossRefGoogle Scholar
Abramowitz, JS, Deacon, BJ. Psychometric properties and construct validity of the Obsessive–Compulsive Inventory—Revised: replication and extension with a clinical sample. J Anxiety Disord. 2006;20(8):10161035.CrossRefGoogle ScholarPubMed
Yim, O, Ramdeen, KT. Hierarchical cluster analysis: comparison of three linkage measures and application to psychological data. The Quantitative Methods for Psychology. 2015;11(1):821.CrossRefGoogle Scholar
Muthén, LK, Muthén, BO. Mplus user’s guide . 7th ed. Los Angeles, CA: Muthén & Muthén; 1998–2012.Google Scholar
Enders, CK. Applied Missing Data Analysis . New York: The Guilford Press; 2010.Google Scholar
Byrne, BM. Structural Equation Modeling with Mplus: Basic Concepts, Applications, and Programming . New York: Routledge; 2012.Google Scholar
Kline, RB. Principles and Practice of Structural Equation Modeling. 4th ed. New York: The Guilford Press; 2016.Google Scholar
Vandenberg, RJ, Lance, CE. A review and synthesis of the measurement invariance literature: suggestions, practices, and recommendations for organizational research. Organizational Research Methods. 2000;3(1):470.CrossRefGoogle Scholar
Silvia, ESM, MacCallum, RC. Some factors affecting the success of specification searches in covariance structure modeling. Multivariate Behav Res. 1988;23(3):297326.CrossRefGoogle ScholarPubMed
Devlieger, I, Rosseel, Y. Factor score path analysis. Methodology. 2017;13(Suppl 1):3138.CrossRefGoogle Scholar
Devlieger, I, Mayer, A, Rosseel, Y. Hypothesis testing using factor score regression: a comparison of four methods. Educ Psychol Meas. 2016;76(5):741770.CrossRefGoogle ScholarPubMed
Bagozzi, RP, Yi, Y. Specification, evaluation, and interpretation of structural equation models. Journal of the Academy of Marketing Science. 2012;40(1):834.CrossRefGoogle Scholar
Marsh, HW, Hau, KT, Wen, Z. In search of golden rules: comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler’s (1999) findings. Structural Equation Modeling. 2004;11(3):320341.CrossRefGoogle Scholar
Bentler, PM, Bonett, DG. Significance tests and goodness of fit in the analysis of covariance structures. Psychol Bull. 1980;88(1):588606.CrossRefGoogle Scholar
Browne, MW, Cudeck, R. Alternative ways of assessing model fit. In: Bollen KA, Long JS, eds. Testing Structural Equation Models. Newbury Park, CA: Sage; 1993:136162.Google Scholar
Yu, C-Y. Evaluating Cutoff Criteria of Model Fit Indices for Latent Variable Models with Binary and Continuous Outcomes [dissertation]. Los Angeles: University of California Los Angeles; 2002.Google Scholar
Hoaglin, DC, Iglewicz, B. Fine-tuning some resistant rules for outlier labeling. Journal of the American Statistical Association. 1987;82(400):11471149.CrossRefGoogle Scholar
Small, NJH. Marginal skewness and kurtosis in testing multivariate normality. Journal of the Royal Statistical Society. Series C (Applied Statistics). 1980;29(1):8587.Google Scholar
Looney, SW. How to use tests for univariate normality to assess multivariate normality. The American Statistician. 1995;49(1):6470.Google Scholar
DeCarlo, LT. On the meaning and use of kurtosis. Psychol Methods. 1997;2(3):292307.CrossRefGoogle Scholar
Kuss, DJ, Griffiths, MD, Karila, L, Billieux, J. Internet addiction: a systematic review of epidemiological research for the last decade. Curr Pharm Des. 2014;20(25):40264052.CrossRefGoogle ScholarPubMed
Byrne, BM, Shavelson, RJ, Muthén, B. Testing for the equivalence of factor covariance and mean structures: the issue of partial measurement invariance. Psychol Bull. 1989;105(3):456466.CrossRefGoogle Scholar
Whiteside, SP, Lynam, DR, Miller, JD, Reynolds, SK. Validation of the UPPS impulsive behaviour scale: a four-factor model of impulsivity. European Journal of Personality. 2005;19(7):559574.CrossRefGoogle Scholar
Rodriguez, A, Reise, SP, Haviland, MG. Applying bifactor statistical indices in the evaluation of psychological measures. J Pers Assess . 2016;98(3):223237.CrossRefGoogle ScholarPubMed
Reise, SP, Waller, NG. Item response theory and clinical measurement. Annu Rev Clin Psychol. 2009;5:2748.CrossRefGoogle ScholarPubMed
Rodriguez, A, Reise, SP, Haviland, MG. Evaluating bifactor models: calculating and interpreting statistical indices. Psychol Methods. 2016;21(2):137150.CrossRefGoogle ScholarPubMed
Hancock, GR, Mueller, RO. Rethinking construct reliability within latent variable systems. In: Cudeck R, du Toit S, Sorbom D, eds. Structural Equation Modeling: Present and Future—A Festchrift in Honor of Karl Joreskog. Lincolnwood, IL: Scientific Software International; 2001:195216.Google Scholar
Edelen, MO, Reeve, BB. Applying item response theory (IRT) modeling to questionnaire development, evaluation, and refinement. Qual Life Res. 2007;16(Suppl 1):518.CrossRefGoogle ScholarPubMed
Reise, SP, Scheines, R, Widaman, KF, Haviland, MG. Multidimensionality and structural coefficient bias in structural equation modeling a bifactor perspective. Educational and Psychological Measurement. 2013;73(1):526.CrossRefGoogle Scholar
Steinmetz, H. Analyzing observed composite differences across groups is partial measurement invariance enough? Methodology: European Journal of Research Methods for the Behavioral and Social Sciences. 2013;9(1):112.CrossRefGoogle Scholar
Grice, JW. Computing and evaluating factor scores. Psychol Methods. 2001;6(4):430450.CrossRefGoogle ScholarPubMed
DiStefano, C, Zhu, M, Mindrila, D. Understanding and using factor scores: considerations for the applied researcher. Practical Assessment, Research & Evaluation. 2009;14(20):111.Google Scholar
Hollander, E, Rosen, J. Impulsivity. J Psychopharmacol. 2000;14(2 Suppl 1):S39S44.CrossRefGoogle ScholarPubMed
Berlin, GS, Hollander, E. Compulsivity, impulsivity, and the DSM-5 process. CNS Spectr. 2014;19(1):6268.CrossRefGoogle ScholarPubMed
Kircanski, K, White, LK, Tseng, WL, et al. A latent variable approach to differentiating neural mechanisms of irritability and anxiety in youth. JAMA Psychiatry. 2018;75(6):631639.CrossRefGoogle ScholarPubMed
Coskunpinar, A, Dir, AL, Cyders, MA. Multidimensionality in impulsivity and alcohol use: a meta-analysis using the UPPS model of impulsivity. Alcohol Clin Exp Res. 2013;37(9):14411450.CrossRefGoogle ScholarPubMed
Norbury, A, Husain, M. Sensation-seeking: dopaminergic modulation and risk for psychopathology. Behav Brain Res. 2015;288(Suppl C):7993.CrossRefGoogle ScholarPubMed
Hittner, JB, Swickert, R. Sensation seeking and alcohol use: a meta-analytic review. Addict Behav. 2006;31(8):13831401.CrossRefGoogle ScholarPubMed
Mahoney, AEJ, McEvoy, PM. A transdiagnostic examination of intolerance of uncertainty across anxiety and depressive disorders. Cogn Behav Ther. 2012;41(3):212222.CrossRefGoogle ScholarPubMed
Carleton, RN, Mulvogue, MK, Thibodeau, MA, McCabe, RE, Antony, MM, Asmundson GJG. Increasingly certain about uncertainty: intolerance of uncertainty across anxiety and depression. J Anxiety Disord. 2012;26(3):468479.CrossRefGoogle Scholar
Eaton, NR, Rodriguez-Seijas, C, Carragher, N, Krueger, RF. Transdiagnostic factors of psychopathology and substance use disorders: a review. Soc Psychiatry Psychiatr Epidemiol. 2015;50(2):171182.CrossRefGoogle ScholarPubMed
Fontenelle, LF, Oostermeijer, S, Harrison, BJ, Pantelis, C, Yücel, M. Obsessive-compulsive disorder, impulse control disorders and drug addiction. Drugs. 2011;71(7):827840.CrossRefGoogle ScholarPubMed
Boswell, JF, Thompson-Hollands, J, Farchione, TJ, Barlow, DH. Intolerance of uncertainty: a common factor in the treatment of emotional disorders. J Clin Psychol. 2013;69(6):630645.CrossRefGoogle ScholarPubMed
Einstein, DA. Extension of the transdiagnostic model to focus on intolerance of uncertainty: a review of the literature and implications for treatment. Clin Psychol (New York). 2014;21(3):280300.Google ScholarPubMed
Stahl, C, Voss, A, Schmitz, F,. Behavioral components of impulsivity. J Exp Psychol Gen. 2014;143(2):850886.CrossRefGoogle ScholarPubMed
Grant, JE, Kim, SW. Brain circuitry of compulsivity and impulsivity. CNS Spectr. 2013;19(1):2127.CrossRefGoogle ScholarPubMed
Bonifay, W, Lane, SP, Reise, SP. Three concerns with applying a bifactor model as a structure of psychopathology. Clinical Psychological Science. 2017;5(1):184186.CrossRefGoogle Scholar
Skrondal, A, Laake, P. Regression among factor scores. Psychometrika. 2001;66(4):563575.CrossRefGoogle Scholar
Marsh, HW, Lüdtke, O, Nagengast, B, AJS, Morin, Von Davier, M. Why item parcels are (almost) never appropriate: Two wrongs do not make a right—Camouflaging misspecification with item parcels in CFA models. Psychol Methods. 2013;18(3):257284.CrossRefGoogle Scholar
Bandalos, DL. The effects of item parceling on goodness-of-fit and parameter estimate bias in structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal. 2002;9(1):78102.CrossRefGoogle Scholar
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