Psychometric Approach of the Revised Illness Perception Questionnaire for Oral Health (IPQ-R-OH) in Patients with Periodontal Disease

Background: The purpose of this study was to evaluate the psychometric properties of the validated Spanish version of the Illness Perception Questionnaire Revised for Oral Health (IPQ-R-OH) in patients with periodontal disease. Methods: We used the IPQ-R-OH, a 36-item self-report scale. This study w...

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Autores:
Mafla Chamorro, Ana Cristina
Herrera López, Harvey M
Villalobos Galvis, Fredy
Tipo de recurso:
Article of journal
Fecha de publicación:
2019
Institución:
Universidad Cooperativa de Colombia
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Repositorio UCC
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https://hdl.handle.net/20.500.12494/16274
Palabra clave:
enfermedad periodontal
creencias
percepción
encuestas y cuestionarios
análisis factorial
periodontal disease
beliefs
perception
surveys and questionnaires
factor analysis
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openAccess
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id COOPER2_ed22ca2ae960c563ddcdc7ad0844d85b
oai_identifier_str oai:repository.ucc.edu.co:20.500.12494/16274
network_acronym_str COOPER2
network_name_str Repositorio UCC
repository_id_str
dc.title.spa.fl_str_mv Psychometric Approach of the Revised Illness Perception Questionnaire for Oral Health (IPQ-R-OH) in Patients with Periodontal Disease
title Psychometric Approach of the Revised Illness Perception Questionnaire for Oral Health (IPQ-R-OH) in Patients with Periodontal Disease
spellingShingle Psychometric Approach of the Revised Illness Perception Questionnaire for Oral Health (IPQ-R-OH) in Patients with Periodontal Disease
enfermedad periodontal
creencias
percepción
encuestas y cuestionarios
análisis factorial
periodontal disease
beliefs
perception
surveys and questionnaires
factor analysis
title_short Psychometric Approach of the Revised Illness Perception Questionnaire for Oral Health (IPQ-R-OH) in Patients with Periodontal Disease
title_full Psychometric Approach of the Revised Illness Perception Questionnaire for Oral Health (IPQ-R-OH) in Patients with Periodontal Disease
title_fullStr Psychometric Approach of the Revised Illness Perception Questionnaire for Oral Health (IPQ-R-OH) in Patients with Periodontal Disease
title_full_unstemmed Psychometric Approach of the Revised Illness Perception Questionnaire for Oral Health (IPQ-R-OH) in Patients with Periodontal Disease
title_sort Psychometric Approach of the Revised Illness Perception Questionnaire for Oral Health (IPQ-R-OH) in Patients with Periodontal Disease
dc.creator.fl_str_mv Mafla Chamorro, Ana Cristina
Herrera López, Harvey M
Villalobos Galvis, Fredy
dc.contributor.author.none.fl_str_mv Mafla Chamorro, Ana Cristina
Herrera López, Harvey M
Villalobos Galvis, Fredy
dc.subject.spa.fl_str_mv enfermedad periodontal
creencias
percepción
encuestas y cuestionarios
análisis factorial
topic enfermedad periodontal
creencias
percepción
encuestas y cuestionarios
análisis factorial
periodontal disease
beliefs
perception
surveys and questionnaires
factor analysis
dc.subject.other.spa.fl_str_mv periodontal disease
beliefs
perception
surveys and questionnaires
factor analysis
description Background: The purpose of this study was to evaluate the psychometric properties of the validated Spanish version of the Illness Perception Questionnaire Revised for Oral Health (IPQ-R-OH) in patients with periodontal disease. Methods: We used the IPQ-R-OH, a 36-item self-report scale. This study was carried out using data from 517 patients with periodontal disease attending the dental clinic at the Universidad Cooperativa de Colombia, Pasto, Colombia. A three-parameter logistic model (3PL) for polytomous response was calculated to evaluate a model of individuals' responses. The McDonald's Omega (Ω ≥ 0.60) coefficient and composite reliability were used to determine the internal consistency. Confirmatory factor analysis (CFA) was conducted to examine the fit of the hypothesized seven-factor model, and the configural invariance was tested to estimate the structure in each sex group. Results: The slope, location, and guessing parameters determined reasonable accurate items according to item response theory analysis. The internal consistency coefficients of each factor ranged from 0.62 to 0.93 (McDonald's Omega) and 0.66 to 0.87 (composite reliability). Confirmatory factor analysis indicated a seven-factor model (χ2 S-B = 2572.165; χ2 S-B /(573) = 4.489, P < 0.01; non-normed fit index = 0.950; CFI = 0.950; root means square error of approximation = 0.055 (90% confidence interval [0.052 - 0.059]); standardized root mean residual = 0.080 and Akaike information criteria = 1426.165. The seven factors loaded similarly to the original IPQ-R scale. Multigroup CFA analysis results supported factor invariance across the sex groups. Conclusion: These findings suggest that the IPQ-R-OH has adequate reliability and construct factorial validity; therefore, it could be a valuable instrument in screening illness perceptions in patients with periodontal disease.
publishDate 2019
dc.date.issued.none.fl_str_mv 2019-02-01
dc.date.accessioned.none.fl_str_mv 2020-01-23T15:50:47Z
dc.date.available.none.fl_str_mv 2020-01-23T15:50:47Z
dc.type.none.fl_str_mv Artículo
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dc.identifier.bibliographicCitation.spa.fl_str_mv Mafla, A.C., Herrera-López, H.M., Villalobos-Galvis, F.H. (2019) Psychometric approach of the revised illness perception questionnaire for oral health (IPQ-R-OH) in patients with periodontal disease. J Periodontol. 2019 Feb;90(2):177-188. Recuperado de: https://aap.onlinelibrary.wiley.com/doi/10.1002/JPER.18-0136
identifier_str_mv 1943-3670
10.1002/JPER.18-0136
Mafla, A.C., Herrera-López, H.M., Villalobos-Galvis, F.H. (2019) Psychometric approach of the revised illness perception questionnaire for oral health (IPQ-R-OH) in patients with periodontal disease. J Periodontol. 2019 Feb;90(2):177-188. Recuperado de: https://aap.onlinelibrary.wiley.com/doi/10.1002/JPER.18-0136
url https://hdl.handle.net/20.500.12494/16274
dc.relation.isversionof.spa.fl_str_mv https://aap.onlinelibrary.wiley.com/doi/10.1002/JPER.18-0136
dc.relation.ispartofjournal.spa.fl_str_mv Journal of Periodontology
dc.relation.references.spa.fl_str_mv 1. 1999 International International Workshop for a Classification of Periodontal Diseases and Conditions. Papers. Oak Brook, Illinois, October 30-November 2, 1999. Ann Periodontol. 1999;4(1):i, 1-112.
2. Mariotti A, Hefti A. Defining periodontal health. BMC Oral Health. 2015;15 (Suppl 1): S6.
3. Ministerio de Salud y Protección Social de Colombia. IV Estudio Nacional de Salud Bucal (ENSAB IV). [online] cited 2017. [accessed July 2017]. Retrieved from: https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/VS/PP/ENSAB-IV-Situacion-Bucal-Actual.pdf
4. Hoving JL, van der Meer M, Volkova AY, Frings-Dresen MH. Illness perceptions and work participation: A systematic review. Int Arch Occup Environ Health. 2010;83:595-605.
5. Llewellyn CD, McGurk M, Weinman J. Illness and treatment beliefs in head and neck cancer: Is Leventhal's common sense model a useful framework for determining changes in outcomes over time? J Psychosom Res. 2007;63:17-26.
6. Leventhal H, Phillips LA, Burns E. The common-sense model of self-regulation (CSM): A dynamic framework for understanding illness self-management. J Behav Med. 2016;39:935-946.
7. Chilcot J, Norton S, Wellsted D, Farrington K. The factor structure of the Revised Illness Perception Questionnaire (IPQ-R) in end-stage renal disease patients. Psychol Health Med. 2012;17:578-588.
8. Baines T, Wittkowski A. A systematic review of the literature exploring illness perceptions in mental health utilising the self-regulation model. J Clin Psychol Med Settings. 2013;20:263-274.
9. Aujla N, Walker M, Sprigg N, Abrams K, Massey A, Vedhara K. Can illness beliefs, from the common-sense model, prospectively predict adherence to self-management behaviours? A systematic review and meta-analysis. Psychol Health. 2016;31:931-958.
10. Popov N, Heruti I, Levy S, Lulav-Grinwald D, Bar-Sela G. Illness perception differences between Russian- and Hebrew-speaking Israeli oncology patients. J Clin Psychol Med Settings. 2014;21:33-40.
11. Bassi M, Falautano M, Cilia S, et al. Illness perception and well-being among persons with multiple sclerosis and their caregivers. J Clin Psychol Med Settings. 2016;23:33-52.
12. Weinman J, Petrie KJ, Moss-Morris R, Horne R. The illness perception questionnaire: A new method for assessing the cognitive representation of illness. Psychology and Health. 1996;11:431–445.
13. Moss-Morris R, Weinman J, Petrie KJ, Horne R, Cameron L, Buick D. The Revised Illness Perception Questionnaire (IPQ-R). Psychology and Health. 2002;17:1-16.
14. Chen S, Tsai J, Lee W. Psychometric validation of the Chinese version of the Illness Perception Questionnaire-Revised for patients with hypertension. J Adv Nurs. 2008;64:524-534.
15. Abubakari AR, Jones MC, Lauder W, Kirk A, Devendra D, Anderson J. Psychometric properties of the Revised Illness Perception Questionnaire: Factor structure and reliability among African-origin populations with type 2 diabetes. Int J Nurs Stud. 2012;49:672-681.
16. Brink E, Alsén P, Cliffordson C. Validation of the Revised Illness Perception Questionnaire (IPQ-R) in a sample of persons recovering from myocardial infarction – the Swedish version. Scand J Psychol. 2011;52:573-579.
17. Witteman C, Bolks L, Hutschemaekers G. Development of the Illness Perception Questionnaire Mental Health. J Mental Health. 2011;20:115-125.
18. Ashley L, Smith A, Keding A, Jones HV, Wright P. Psychometric evaluation of the Revised Illness Perception Questionnaire (IPQ-R) in cancer patients: Confirmatory factor analysis and Rasch analysis. J Psychosom Res. 2013;75:556-562.
19. Aberkane S. Psychometric testing of an Arabic translation of the Revised-Illness Perception Questionnaire (IPQ-R) for chronic illness patients. Malays J Med Sci. 2017;24:74-85.
20. Hagger MS, Orbell S. A confirmatory factor analysis of the Revised Illness Perception Questionnaire (IPQ-R) in a cervical screening context. Psychology & Health. 2005;20:161-173.
21. Brzoska P, Yilmaz-Aslan Y, Sultanoglu E, Sultanoglu B, Razum O. The factor structure of the Turkish version of the Revised Illness Perception Questionnaire (IPQ-R) in patients with diabetes and cardiovascular disease. BMC Public Health. 2012;12:852.
22. Dempster M, McCorry NK. The factor structure of the Revised Illness Perception Questionnaire in a population of oesophageal cancer survivors. Psychooncology. 2012;21:524-530.
23. Villalobos-Galvis FH, Mafla AC, Burbano-Trujillo WF, Sánchez-Figueroa AA. Psychometric properties of the Revised Illness Perception Questionnaire for Oral Health. Caries Res. 2017;51:244–254.
24. R Development Core Team. R: A language and environment for statistical computing (Manual & Software). Viena, Austria: R Foundation for Statistical Computing, 2008.
25. Kormaz, S, Goksuluk, D, Zararsiz, G. Mutivariate Normality Tests: Package ‘MVN’ (versión 4.0). [online] cited in 2015. [accessed August 2016]. Retrieved from: http://www.biosoft.hacettepe.edu.tr/MVN/
26. Mardia KV. Measures of multivariate skewness and kurtosis with applications. Biometrika. 1970; 57:519-530.
27. Baker F. Item Response Theory. Parameter estimation techniques. New York, USA: Marcel Dekker, Inc., 1992.
28. An Xi, Yung YF, SAS Institute Inc. Item Response Theory: What It Is and How You Can Use the IRT Procedure to Apply It. [online] cited in 2014. [accessed May 2018]. Retrieved from: https://support.sas.com/resources/papers/proceedings14/SAS364-2014.pdf
29. Muraki E. Fitting a polytomous item response model to likert-type data. Applied Psychological Measurement. 1990;14:69-71.
30. Lorenzo-Seva U, Ferrando P. Factor: A computer program to fit the exploratory factor analysis model. Behavioral Research Methods, Instruments and Computers. 2006;38:88-91.
31. Hair J, Black W, Babin B, Anderson R, Tatham R. Multivariate data analyses. 6th ed. New York (NY): Prentice-Hall, 2005.
32. Raykov T. Estimation of composite reliability for congeneric measures. Applied Psychological Measurement. 1997;21:173-184.
33. Elosua-Oliden P, Zumbo BD. Reliability coefficients for ordinal response scales. Psicothema. 2008; 20:896-901. [Article in Spanish]
34. Bentler RM, Wu EJC. EQS for Windows, version 6.2. (Statistical Program for Windows). Encino, CA: Multivariate Software, Inc., 2012.
35. Bryant F, Satorra A. Principles and practice of scaled difference chi-square testing. Structural Equation Modeling: A Multidisciplinary Journal. 2012;19:372-398.
36. Morata-Ramírez M, Holgado-Tello FP. Construct validity of likert scales through confirmatory factor analysis: A simulation study comparing different methods of estimation based on Pearson and polychoric correlations. International Journal of Social Science Studies. 2013;1:54-61.
37. Satorra A, Bentler PM. A scaled difference chi-square test statistic for moment structure analysis. Psychometrika. 2001;66:507-514.
38. Hu LT, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal. 1999;6:1-55.
39. Dimitrov DM. Testing for the factorial invariance in the context of construct validation. Measurement and Evaluation in Counseling and Development. 2010;43:121-149.
40. Bollen KA. Structural Equations with Latent Variables. New York: Wiley,1989.
41. Satorra A, Bentler PM. Ensuring positiveness of the scaled difference chi-square test statistic. Psychometrika. 2010;75:243-248.
42. Akcali A, Huck O, Tenenbaum H, Davideau JL, Buduneli N. Periodontal diseases and stress: A brief review. J Oral Rehabil. 2013;40:60-68.
43. Chiou LJ, Yang YH, Hung HC, et al. The association of psychosocial factors and smoking with periodontal health in a community population. J Periodontal Res. 2010;45:16-22.
44. Goyal S, Gupta G, Thomas B, Bhat KM, Bhat GS. Stress and periodontal disease: The link and logic!! Ind Psychiatry J. 2013;22:4-11.
45. Gaurilcikaite E, Renton T, Grant AD. The paradox of painless periodontal disease. Oral Dis. 2017;23:451-463.
46. Broadbent E, Petrie KJ, Main J, Weinman J. The brief Illness Perception Questionnaire. J Psychosom Res. 2006 ;60:631-637.
47. Samejima F. Graded Response Model. In: van der Linden WJ, Hambleton RK (eds). Handbook of modern Item Response Theory. New York, NY: Springer, 1997:85-100.
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dc.publisher.spa.fl_str_mv Kenneth S. Kornman
Universidad Cooperativa de Colombia, Facultad de Ciencias de la Salud, Odontología, Pasto
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spelling Mafla Chamorro, Ana CristinaHerrera López, Harvey MVillalobos Galvis, Fredy90 (2)2020-01-23T15:50:47Z2020-01-23T15:50:47Z2019-02-011943-367010.1002/JPER.18-0136https://hdl.handle.net/20.500.12494/16274Mafla, A.C., Herrera-López, H.M., Villalobos-Galvis, F.H. (2019) Psychometric approach of the revised illness perception questionnaire for oral health (IPQ-R-OH) in patients with periodontal disease. J Periodontol. 2019 Feb;90(2):177-188. Recuperado de: https://aap.onlinelibrary.wiley.com/doi/10.1002/JPER.18-0136Background: The purpose of this study was to evaluate the psychometric properties of the validated Spanish version of the Illness Perception Questionnaire Revised for Oral Health (IPQ-R-OH) in patients with periodontal disease. Methods: We used the IPQ-R-OH, a 36-item self-report scale. This study was carried out using data from 517 patients with periodontal disease attending the dental clinic at the Universidad Cooperativa de Colombia, Pasto, Colombia. A three-parameter logistic model (3PL) for polytomous response was calculated to evaluate a model of individuals' responses. The McDonald's Omega (Ω ≥ 0.60) coefficient and composite reliability were used to determine the internal consistency. Confirmatory factor analysis (CFA) was conducted to examine the fit of the hypothesized seven-factor model, and the configural invariance was tested to estimate the structure in each sex group. Results: The slope, location, and guessing parameters determined reasonable accurate items according to item response theory analysis. The internal consistency coefficients of each factor ranged from 0.62 to 0.93 (McDonald's Omega) and 0.66 to 0.87 (composite reliability). Confirmatory factor analysis indicated a seven-factor model (χ2 S-B = 2572.165; χ2 S-B /(573) = 4.489, P < 0.01; non-normed fit index = 0.950; CFI = 0.950; root means square error of approximation = 0.055 (90% confidence interval [0.052 - 0.059]); standardized root mean residual = 0.080 and Akaike information criteria = 1426.165. The seven factors loaded similarly to the original IPQ-R scale. Multigroup CFA analysis results supported factor invariance across the sex groups. Conclusion: These findings suggest that the IPQ-R-OH has adequate reliability and construct factorial validity; therefore, it could be a valuable instrument in screening illness perceptions in patients with periodontal disease.Introduction. -- 2. Material and Methods. -- 2.1. Participants. -- 2.2. Illness Perception Questionnaire– Revised for Oral Health (IPQ-R-OH). -- 2.3. Statistical Analysis. -- 2.3.1. Descriptive analysis. -- 2.3.2 Reliability and factor validity. -- 3. Results, 3.1. Sample description. -- 4. Discussion. -- 4.1 Strengths and limitations. -- 5. Conclusions. -- Acknowledgements. -- Referenceshttps://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=00006766160000-0002-2805-7901https://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000002911ana.mafla@campusucc.edu.cohttps://scholar.google.com/citations?user=MSFc5YoAAAAJ&hl=es177-188Kenneth S. KornmanUniversidad Cooperativa de Colombia, Facultad de Ciencias de la Salud, Odontología, PastoOdontologíaPastohttps://aap.onlinelibrary.wiley.com/doi/10.1002/JPER.18-0136Journal of Periodontology1. 1999 International International Workshop for a Classification of Periodontal Diseases and Conditions. Papers. Oak Brook, Illinois, October 30-November 2, 1999. Ann Periodontol. 1999;4(1):i, 1-112.2. Mariotti A, Hefti A. Defining periodontal health. BMC Oral Health. 2015;15 (Suppl 1): S6.3. Ministerio de Salud y Protección Social de Colombia. IV Estudio Nacional de Salud Bucal (ENSAB IV). [online] cited 2017. [accessed July 2017]. Retrieved from: https://www.minsalud.gov.co/sites/rid/Lists/BibliotecaDigital/RIDE/VS/PP/ENSAB-IV-Situacion-Bucal-Actual.pdf4. Hoving JL, van der Meer M, Volkova AY, Frings-Dresen MH. Illness perceptions and work participation: A systematic review. Int Arch Occup Environ Health. 2010;83:595-605.5. Llewellyn CD, McGurk M, Weinman J. Illness and treatment beliefs in head and neck cancer: Is Leventhal's common sense model a useful framework for determining changes in outcomes over time? J Psychosom Res. 2007;63:17-26.6. Leventhal H, Phillips LA, Burns E. The common-sense model of self-regulation (CSM): A dynamic framework for understanding illness self-management. J Behav Med. 2016;39:935-946.7. Chilcot J, Norton S, Wellsted D, Farrington K. The factor structure of the Revised Illness Perception Questionnaire (IPQ-R) in end-stage renal disease patients. Psychol Health Med. 2012;17:578-588.8. Baines T, Wittkowski A. A systematic review of the literature exploring illness perceptions in mental health utilising the self-regulation model. J Clin Psychol Med Settings. 2013;20:263-274.9. Aujla N, Walker M, Sprigg N, Abrams K, Massey A, Vedhara K. Can illness beliefs, from the common-sense model, prospectively predict adherence to self-management behaviours? A systematic review and meta-analysis. Psychol Health. 2016;31:931-958.10. Popov N, Heruti I, Levy S, Lulav-Grinwald D, Bar-Sela G. Illness perception differences between Russian- and Hebrew-speaking Israeli oncology patients. J Clin Psychol Med Settings. 2014;21:33-40.11. Bassi M, Falautano M, Cilia S, et al. Illness perception and well-being among persons with multiple sclerosis and their caregivers. J Clin Psychol Med Settings. 2016;23:33-52.12. Weinman J, Petrie KJ, Moss-Morris R, Horne R. The illness perception questionnaire: A new method for assessing the cognitive representation of illness. Psychology and Health. 1996;11:431–445.13. Moss-Morris R, Weinman J, Petrie KJ, Horne R, Cameron L, Buick D. The Revised Illness Perception Questionnaire (IPQ-R). Psychology and Health. 2002;17:1-16.14. Chen S, Tsai J, Lee W. Psychometric validation of the Chinese version of the Illness Perception Questionnaire-Revised for patients with hypertension. J Adv Nurs. 2008;64:524-534.15. Abubakari AR, Jones MC, Lauder W, Kirk A, Devendra D, Anderson J. Psychometric properties of the Revised Illness Perception Questionnaire: Factor structure and reliability among African-origin populations with type 2 diabetes. Int J Nurs Stud. 2012;49:672-681.16. Brink E, Alsén P, Cliffordson C. Validation of the Revised Illness Perception Questionnaire (IPQ-R) in a sample of persons recovering from myocardial infarction – the Swedish version. Scand J Psychol. 2011;52:573-579.17. Witteman C, Bolks L, Hutschemaekers G. Development of the Illness Perception Questionnaire Mental Health. J Mental Health. 2011;20:115-125.18. Ashley L, Smith A, Keding A, Jones HV, Wright P. Psychometric evaluation of the Revised Illness Perception Questionnaire (IPQ-R) in cancer patients: Confirmatory factor analysis and Rasch analysis. J Psychosom Res. 2013;75:556-562.19. Aberkane S. Psychometric testing of an Arabic translation of the Revised-Illness Perception Questionnaire (IPQ-R) for chronic illness patients. Malays J Med Sci. 2017;24:74-85.20. Hagger MS, Orbell S. A confirmatory factor analysis of the Revised Illness Perception Questionnaire (IPQ-R) in a cervical screening context. Psychology & Health. 2005;20:161-173.21. Brzoska P, Yilmaz-Aslan Y, Sultanoglu E, Sultanoglu B, Razum O. The factor structure of the Turkish version of the Revised Illness Perception Questionnaire (IPQ-R) in patients with diabetes and cardiovascular disease. BMC Public Health. 2012;12:852.22. Dempster M, McCorry NK. The factor structure of the Revised Illness Perception Questionnaire in a population of oesophageal cancer survivors. Psychooncology. 2012;21:524-530.23. Villalobos-Galvis FH, Mafla AC, Burbano-Trujillo WF, Sánchez-Figueroa AA. Psychometric properties of the Revised Illness Perception Questionnaire for Oral Health. Caries Res. 2017;51:244–254.24. R Development Core Team. R: A language and environment for statistical computing (Manual & Software). Viena, Austria: R Foundation for Statistical Computing, 2008.25. Kormaz, S, Goksuluk, D, Zararsiz, G. Mutivariate Normality Tests: Package ‘MVN’ (versión 4.0). [online] cited in 2015. [accessed August 2016]. Retrieved from: http://www.biosoft.hacettepe.edu.tr/MVN/26. Mardia KV. Measures of multivariate skewness and kurtosis with applications. Biometrika. 1970; 57:519-530.27. Baker F. Item Response Theory. Parameter estimation techniques. New York, USA: Marcel Dekker, Inc., 1992.28. An Xi, Yung YF, SAS Institute Inc. Item Response Theory: What It Is and How You Can Use the IRT Procedure to Apply It. [online] cited in 2014. [accessed May 2018]. Retrieved from: https://support.sas.com/resources/papers/proceedings14/SAS364-2014.pdf29. Muraki E. Fitting a polytomous item response model to likert-type data. Applied Psychological Measurement. 1990;14:69-71.30. Lorenzo-Seva U, Ferrando P. Factor: A computer program to fit the exploratory factor analysis model. Behavioral Research Methods, Instruments and Computers. 2006;38:88-91.31. Hair J, Black W, Babin B, Anderson R, Tatham R. Multivariate data analyses. 6th ed. New York (NY): Prentice-Hall, 2005.32. Raykov T. Estimation of composite reliability for congeneric measures. Applied Psychological Measurement. 1997;21:173-184.33. Elosua-Oliden P, Zumbo BD. Reliability coefficients for ordinal response scales. Psicothema. 2008; 20:896-901. [Article in Spanish]34. Bentler RM, Wu EJC. EQS for Windows, version 6.2. (Statistical Program for Windows). Encino, CA: Multivariate Software, Inc., 2012.35. Bryant F, Satorra A. Principles and practice of scaled difference chi-square testing. Structural Equation Modeling: A Multidisciplinary Journal. 2012;19:372-398.36. Morata-Ramírez M, Holgado-Tello FP. Construct validity of likert scales through confirmatory factor analysis: A simulation study comparing different methods of estimation based on Pearson and polychoric correlations. International Journal of Social Science Studies. 2013;1:54-61.37. Satorra A, Bentler PM. A scaled difference chi-square test statistic for moment structure analysis. Psychometrika. 2001;66:507-514.38. Hu LT, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal. 1999;6:1-55.39. Dimitrov DM. Testing for the factorial invariance in the context of construct validation. Measurement and Evaluation in Counseling and Development. 2010;43:121-149.40. Bollen KA. Structural Equations with Latent Variables. New York: Wiley,1989.41. Satorra A, Bentler PM. Ensuring positiveness of the scaled difference chi-square test statistic. Psychometrika. 2010;75:243-248.42. Akcali A, Huck O, Tenenbaum H, Davideau JL, Buduneli N. Periodontal diseases and stress: A brief review. J Oral Rehabil. 2013;40:60-68.43. Chiou LJ, Yang YH, Hung HC, et al. The association of psychosocial factors and smoking with periodontal health in a community population. J Periodontal Res. 2010;45:16-22.44. Goyal S, Gupta G, Thomas B, Bhat KM, Bhat GS. Stress and periodontal disease: The link and logic!! Ind Psychiatry J. 2013;22:4-11.45. Gaurilcikaite E, Renton T, Grant AD. The paradox of painless periodontal disease. Oral Dis. 2017;23:451-463.46. Broadbent E, Petrie KJ, Main J, Weinman J. The brief Illness Perception Questionnaire. J Psychosom Res. 2006 ;60:631-637.47. Samejima F. Graded Response Model. In: van der Linden WJ, Hambleton RK (eds). Handbook of modern Item Response Theory. 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