Skip to main content
Log in

A New Look on the Representation and Criterion Validity of Need Fulfillment: Application of the Bifactor Exploratory Structural Equation Modeling Framework

  • Research Paper
  • Published:
Journal of Happiness Studies Aims and scope Submit manuscript

Abstract

The present study re-investigated whether need satisfaction and frustration are better represented as two opposite ends of the same continuum or two distinct constructs through the application of the bifactor exploratory structural equation modeling (bifactor-ESEM) framework. Also, the criterion-related validity of the final representation was tested in relation to indicators of wellbeing. Using a sample of 774 participants (501 females, Mage = 27.86, SDage = 9.52), several alternative models were contrasted. The results supported the multidimensional bifactor-ESEM representation including one global factor of need fulfillment and the six specific factors being the combination of satisfaction and frustration with autonomy, competence, and relatedness. Most items tapped into meaningful specificity once the global factor was accounted for. Finally, the global factor was substantially and positively related to positive affect and negatively to negative affect. Competence satisfaction further predicted positive affect, while competence and relatedness frustration predicted negative affect.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Notes

  1. In the case of omega indices for the bifactor-ESEM model, it has to be noted that the reliability of the S-factors in this particular model is generally lower than in the case of first-order model. Also, the lower levels of reliability are less problematic due to the use of fully latent variables which are controlled for measurement errors.

  2. The fit of the PANAS model was adequate (χ2 = 141.216, df = 32, p < .001; CFI = .930; TLI = .902; RMSEA = .066 [90% CI .055–.078]) and included two correlated uniquenesses between items 3–5 and 2–8. The two factors also showed adequate model-based reliabilities (ωpositive = .740; ωnegative = .696).

References

  • Adie, J. W., Duda, J. L., & Ntoumanis, N. (2008). Autonomy support, basic need satisfaction and the optimal functioning of adult male and female sport participants: A test of basic needs theory. Motivation and Emotion, 32, 189–199.

    Article  Google Scholar 

  • Arens, A. K., & Morin, A. J. S. (2016). Examination of the structure and grade-related differentiation of multidimensional self-concept instruments for children using ESEM. The Journal of Experimental Education, 84, 330–355.

    Article  Google Scholar 

  • Asparouhov, T., & Muthén, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling, 16, 397–438.

    Article  Google Scholar 

  • Asparouhov, T., Muthén, B., Morin, A. J. S., et al. (2015). Bayesian structural equation modeling with cross-loadings and residual covariances: Comments on Stromeyer. Journal of Management, 41, 1561–1577.

    Article  Google Scholar 

  • Baard, P. P., Deci, E. L., & Ryan, R. M. (2004). Intrinsic need satisfaction: A motivational basis of performance and well-being in two work settings. Journal of Applied Social Psychology, 34, 2045–2068.

    Article  Google Scholar 

  • Bidee, J., Vantilborgh, T., Pepermans, R., Griep, Y., & Hofmans, J. (2016). Temporal dynamics of need satisfaction and need frustration: Two sides of the same coin? European Journal of Work and Organizational Psychology, 25, 900–913.

    Article  Google Scholar 

  • Browne, M. (2001). An overview of analytic rotation in exploratory factor analysis. Multivariate Behavioral Research, 36, 111–150.

    Article  Google Scholar 

  • Brunet, J., Gunnel, K. E., Teixeira, P., Sabiston, C. M., & Bélanger, M. (2016). Should we be looking at the forest or the trees? Overall psychological need satisfaction and individual needs as predictors of physical activity. Journal of Sport & Exercise Psychology, 38, 317–330.

    Article  Google Scholar 

  • Campbell, R., Tobback, E., Delesie, L., Vogelaers, D., Mariman, A., & Vansteenkiste, M. (2017). Basic psychological need experiences, fatigue, and sleep in individuals with unexplained chronic fatigue. Stress & Health, 33, 645–655.

    Article  Google Scholar 

  • Campbell, R., Vansteenkiste, M., Delesie, L. M., Mariman, A. N., Soenens, B., Tobback, E., et al. (2015). Examining the role of psychological need satisfaction in sleep: A self-determination theory perspective. Personality and Individual Differences, 77, 199–204.

    Article  Google Scholar 

  • Chen, B., Vansteenkiste, M., Beyers, W., Boone, L., Deci, E. L., Van der Kaap-Deeder, J., et al. (2015). Basic psychological need satisfaction, need frustration, and need strength across four cultures. Motivation and Emotion, 39, 216–236.

    Article  Google Scholar 

  • Cordeiro, P., Paixão, P., Lens, W., Lacante, M., & Luyckx, K. (2016). The Portuguese Validation of the Basic Psychological Need Satisfaction and Frustration Scale: Concurrent and longitudinal relations to well-being and ill-being. Psychologica Belgica, 56, 193–209.

    Article  Google Scholar 

  • Costa, S., Gugliandolo, M. C., Barberis, N., & Larcan, R. (2016). The mediational role of psychological basic needs in the relation between conception of god and psychological outcomes. Journal of Religion and Health, 55, 1–15.

    Article  Google Scholar 

  • Cox, A., & Williams, L. (2008). The roles of perceived teacher support, motivational climate, and psychological need satisfaction in students’ physical education motivation. Journal of Sport and Exercise Psychology, 30, 222–239.

    Article  Google Scholar 

  • Deci, E. L., & Ryan, R. M. (2000). The “what” and “why” of goal pursuits: Human needs and the self-determination of behavior. Psychological Inquiry, 11, 227–268.

    Article  Google Scholar 

  • Deci, E. L., Ryan, R. M., Gagné, M., Leone, D. R., Usunov, J., & Kornazheva, B. P. (2001). Need satisfaction, motivation, and well-being in the work organizations of a former eastern bloc country: A cross-cultural study of self-determination. Personality and Social Psychology Bulletin, 27, 930–942.

    Article  Google Scholar 

  • Dunn, T., Baguley, T., & Brunsden, V. (2014). From alpha to omega: A practical solution to the pervasive problem of internal consistency. British Journal of Psychology, 105, 399–412.

    Article  Google Scholar 

  • Fadda, D., Scalas, L. F., Meleddu, M., & Morin, A. J. S. (2017). A bifactor-ESEM representation of the questionnaire for Eudaimonic wellbeing. Personality and Individual Differences, 116, 216–222.

    Article  Google Scholar 

  • Garn, A. C., Morin, A. J. S., & Lonsdale, C. (2018). Basic psychological need satisfaction toward learning: A longitudinal test of mediation using bifactor exploratory structural equation modeling. Journal of Educational Psychology. https://doi.org/10.1037/edu0000283.

    Google Scholar 

  • Gignac, G. E. (2016). The higher-order model imposes a proportionality constraint: That is why the bifactor model tends to fit better. Intelligence, 55, 57–68.

    Article  Google Scholar 

  • Gillet, N., Morin, A. J. S., Huyghebaert, T., Burger, L., Maillot, A., Poulin, A., et al. (2017). University students’ need satisfaction trajectories: A growth mixture analysis. Learning and Instruction. https://doi.org/10.1016/j.learninstruc.2017.11.003.

    Google Scholar 

  • Gilman, R., & Huebner, E. S. (2006). Characteristics of adolescents who report very high life satisfaction. Journal of Youth and Adolescence, 35, 293–301.

    Article  Google Scholar 

  • Guay, F., Morin, A. J. S., Litalien, D., Valois, P., & Vallerand, R. J. (2015). Application of exploratory structural equation modeling to evaluate the academic motivation scale. Journal of Experimental Education, 83, 51–82.

    Article  Google Scholar 

  • Gunnel, K. E., & Gaudreau, P. (2015). Testing a bi-factor model to disentangle general and specific motivation in self-determination theory. Personality and Individual Differences, 81, 35–40.

    Article  Google Scholar 

  • Gunnell, K. E., Crocker, P. R., Mack, D. E., Wilson, P. M., & Zumbo, B. D. (2014). Goal contents, motivation, psychological need satisfaction, well-being and physical activity: A test of self-determination theory over 6 months. Psychology of Sport and Exercise, 15, 19–29.

    Article  Google Scholar 

  • Gyollai, Á., Simor, P., Köteles, F., & Demetrovics, Zs. (2011). Psychometric properties of the Hungarian version of the original and the short form of the Positive and Negative Affect Schedule (PANAS). Neuropsychopharmacologia Hungarica, 13, 73–79.

    Google Scholar 

  • Hofstede, G. (2001). Culture’s consequences: Comparing values, behaviors, institutions, and organizations across nations. Thousand Oaks, CA: Sage Publications.

    Google Scholar 

  • Hofstede, G., Hofstede, G. J., & Minkov, M. (2010). Cultures and organizations: Software of the mind (Revised and expanded 3 ed.). New York, NY: McGraw-Hill.

    Google Scholar 

  • Howard, J. L., Gagné, M., Morin, A. J. S., & Forest, J. (2017). Using bifactor exploratory structural equation modeling to test for a continuum structure of motivation. Journal of Management. https://doi.org/10.1177/0149206316645653.

    Google Scholar 

  • Hu, L., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling, 6, 1–55.

    Article  Google Scholar 

  • Kim, J., LaRose, R., & Peng, W. (2009). Loneliness as the cause and the effect of problematic Internet use: The relationship between Internet use and psychological well-being. CyberPsychology & Behavior, 12, 451–455.

    Article  Google Scholar 

  • Krijgsman, C., Vansteenkiste, M., van Tartwijk, J., Maes, J., Borghouts, L., Cardon, G., et al. (2017). Performance grading and motivational functioning and fear in physical education: A self-determination theory perspective. Learning and Individual Differences, 55, 202–211.

    Article  Google Scholar 

  • Landry, A. T., Kindlein, J., Trépanier, S. G., Forest, J., Zigarmi, D., Houson, D., et al. (2016). Why individuals want money is what matters: Using self-determination theory to explain the differential relationship between motives for making money and employee psychological health. Motivation and Emotion, 40, 226–242.

    Article  Google Scholar 

  • Litalien, D., Guay, F., & Morin, A. J. S. (2015). Motivation for Ph.D. studies: Scale development and validation. Learning and Individual Differences, 41, 1–13.

    Article  Google Scholar 

  • Litalien, D., Morin, A. J. S., Gagné, M., Vallerand, R. J., Losier, G. F., & Ryan, R. M. (2017). Evidence of a continuum structure of academic self-determination: A two-study test using a bifactor-ESEM representation of academic motivation. Contemporary Educational Psychology, 51, 67–82.

    Article  Google Scholar 

  • Longo, Y., Alcaraz-Ibáñez, M., & Sicilia, A. (2018). Evidence supporting need satisfaction and frustration as two distinguishable constructs. Psicothema, 30(1), 74–81.

    Google Scholar 

  • Marsh, H. W., Hau, K.-T., & Grayson, D. (2005). Goodness of fit evaluation in structural equation modeling. In A. Maydeu-Olivares & J. McArdle (Eds.), Contemporary psychometrics. A Festschrift for Roderick P. McDonald (pp. 275–340). Mahwah, NJ: Erlbaum.

    Google Scholar 

  • Marsh, H. W., Hau, K.-T., & Wen, Z. (2004). In search of golden rules: Comment on hypothesis-testing approaches to cutoff values for fit indexes and dangers in overgeneralizing Hu & Bentler’s (1999). Structural Equation Modeling, 11, 320–341.

    Article  Google Scholar 

  • Marsh, H. W., Morin, A. J. S., Parker, P., & Kaur, G. (2014). Exploratory structural equation modeling: An integration of the best features of exploratory and confirmatory factor analysis. Annual Review of Clinical Psychology, 10, 85–110.

    Article  Google Scholar 

  • McDonald, R. P. (1970). Theoretical foundations of principal factor analysis, canonical factor analysis, and alpha factor analysis. British Journal of Mathematical and Statistical Psychology, 23, 1–21.

    Article  Google Scholar 

  • Mellor, D., Stokes, M., Firth, L., Hayashi, Y., & Cummins, R. (2008). Need for belonging, relationship satisfaction, loneliness, and life satisfaction. Personality and Individual Differences, 45, 213–218.

    Article  Google Scholar 

  • Morin, A. J. S., Arens, A., & Marsh, H. (2016a). A bifactor exploratory structural equation modeling framework for the identification of distinct sources of construct-relevant psychometric multidimensionality. Structural Equation Modeling, 23, 116–139.

    Article  Google Scholar 

  • Morin, A. J. S., Arens, K., Tran, A., & Caci, H. (2016b). Exploring sources of construct-relevant multidimensionality in psychiatric measurement: A tutorial and illustration using the Composite Scale of Morningness. International Journal of Methods in Psychiatric Research, 25, 277–288.

    Article  Google Scholar 

  • Morin, A. J. S., Boudrias, J. S., Marsh, H. W., Madore, I., & Desrumaux, P. (2016c). Further reflections on disentangling shape and level effects in person-centered analyses: An illustration exploring the dimensionality of psychological health. Structural Equation Modeling, 23, 438–454.

    Article  Google Scholar 

  • Morin, A. J. S., Marsh, H. W., & Nagengast, B. (2013). Exploratory structural equation modeling. In G. R. Hancock & R. O. Mueller (Eds.), Structural equation modeling: A second course (pp. 395–436). Charlotte, NC: Information Age.

    Google Scholar 

  • Morin, A. J. S., Myers, N. D., & Lee, S. (2018). Modern factor analytic techniques: Bifactor models, exploratory structural equation modeling (ESEM) and bifactor-ESEM. In G. Tenenbaum & R. C. Eklund (Eds.), Handbook of sport psychology (4th ed.). Hoboken, NJ: Wiley.

    Google Scholar 

  • Muthén, L. K., & Muthén, B. O. (1998–2017). Mplus user’s guide, 8th edn. Los Angeles, CA: Muthén & Muthén.

  • Myers, N. D., Martin, J. J., Ntoumanis, N., Celimli, S., & Bartholomew, K. J. (2014). Exploratory bifactor analysis in sport, exercise, and performance psychology: A substantive-methodological synergy. Sport, Exercice, & Performance Psychology, 3, 258–272.

    Article  Google Scholar 

  • Neff, K., Tóth-Király, I., & Colosimo, K. (2018). Self-compassion is best measured as a global construct and is overlapping with but distinct from neuroticism: A response to Pfattheicher, Geiger, Hartung, Weiss, and Schindler (2017). European Journal of Psychology. https://doi.org/10.1002/per.2148.

    Google Scholar 

  • Quiroga, C. V., Janosz, M., Bisset, S., & Morin, A. J. S. (2013). Early adolescent depression symptoms and school dropout: Mediating processes involving self-reported academic competence and achievement. Journal of Educational Psychology, 105, 552–560.

    Article  Google Scholar 

  • Reis, H. T., Sheldon, K. M., Gable, S. L., Roscoe, J., & Ryan, R. M. (2000). Daily well-being: The role of autonomy, competence, and relatedness. Personality and Social Psychology Bulletin, 26, 419–435.

    Article  Google Scholar 

  • Reise, S. P. (2012). The rediscovery of bifactor measurement models. Multivariate Behavioral Research, 47, 667–696.

    Article  Google Scholar 

  • Rodriguez, A., Reise, S. P., & Haviland, M. G. (2016). Evaluating bifactor models: Calculating and interpreting statistical indices. Psychological Methods, 21, 137–150.

    Article  Google Scholar 

  • Ryan, R. M., & Deci, E. L. (2017). Self-determination theory. Basic psychological needs in motivation, development, and wellness. New York, NY: Guildford Press.

    Google Scholar 

  • Ryan, R. M., Huta, V., & Deci, E. (2008). Living well: A self-determination theory perspective on eudaimonia. Journal of Happiness Studies, 9, 139–170.

    Article  Google Scholar 

  • Ryff, C. D. (1989). Happiness is everything, or is it? Explorations on the meaning of eudaimonic well-being. Journal of Personality and Social Psychology, 57, 1069–1081.

    Article  Google Scholar 

  • Sánchez-Oliva, D., Morin, A. J. S., Teixeira, P. J., Carraça, E. V., Palmeira, A. L., & Silva, M. N. (2017). A bifactor-exploratory structural equation modeling representation of the structure of basic psychological needs at work scale. Journal of Vocational Behavior, 98, 173–187.

    Article  Google Scholar 

  • Schultz, P. P., Ryan, R. M., Niemiec, C. P., Legate, N., & Williams, G. C. (2015). Mindfulness, work climate, and psychological need satisfaction in employee well-being. Mindfulness, 6, 971–985.

    Article  Google Scholar 

  • Sheldon, K. M., Ryan, R., & Reis, H. T. (1996). What makes for a good day? Competence and autonomy in the day and in the person. Personality and Social Psychology Bulletin, 22, 1270–1279.

    Article  Google Scholar 

  • Sijtsma, K. (2009). On the use, misuse, and the very limited usefulness of Cronbach’s alpha. Psychometrika, 74, 107–120.

    Article  Google Scholar 

  • Simor, P., Harsányi, A., Csigó, K., Miklós, G., Lázár, A. S., & Demeter, G. (2018). Eveningness is associated with poor sleep quality and negative affect in obsessive–compulsive disorder. Journal of Behavioral Addictions, 7, 10–20.

    Article  Google Scholar 

  • Thompson, E. R. (2007). Development and validation of an internationally reliable short-form of the positive and negative affect schedule (PANAS). Journal of Cross-Cultural Psychology, 38, 227–242.

    Article  Google Scholar 

  • Tóth-Király, I., Bőthe, B., & Orosz, G. (2017a). Exploratory structural equation modeling analysis of the self-compassion scale. Mindfulness, 8, 881–892.

    Article  Google Scholar 

  • Tóth-Király, I., Bőthe, B., Rigó, A., & Orosz, G. (2017b). An illustration of the exploratory structural equation modeling (ESEM) framework on the passion scale. Frontiers in Psychology, 8, 1968.

    Article  Google Scholar 

  • Tóth-Király, I., Morin, A. J. S., Bőthe, B., Orosz, G., & Rigó, A. (2018). Investigating the multidimensionality of need fulfillment: A bifactor exploratory structural equation modeling representation. Structural Equation Modeling, 25, 267–286.

    Article  Google Scholar 

  • Tóth-Király, I., Orosz, G., Dombi, E., Jagodics, B., Farkas, D., & Amoura, C. (2017c). Cross-cultural comparative examination of the Academic Motivation Scale using exploratory structural equation modeling. Personality and Individual Differences, 106, 130–135.

    Article  Google Scholar 

  • Vallerand, R. J. (1997). Toward a hierarchical model of intrinsic and extrinsic motivation. Advances in Experimental Social Psychology, 29, 271–360.

    Google Scholar 

  • Vansteenkiste, M., & Ryan, R. M. (2013). On psychological growth and vulnerability: Basic psychological need satisfaction and need frustration as a unifying principle. Journal of Psychotherapy Integration, 23, 263–280.

    Article  Google Scholar 

  • Walton, G. M., & Cohen, G. L. (2011). A brief social-belonging intervention improves academic and health outcomes of minority students. Science, 331, 1447–1451.

    Article  Google Scholar 

  • Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54, 1063–1070.

    Article  Google Scholar 

Download references

Funding

The first author was supported by the ÚNKP-17-3 New National Excellence Program of the Ministry of Human Capacities. The first three authors were supported by the Hungarian Research Fund (NKFI FK 124225), and the third author was also supported by the Hungarian Academy of Sciences (Lendület Project LP2012-36).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to István Tóth-Király.

Ethics declarations

Conflict of interest

The authors declare no conflict of interest.

Electronic supplementary material

Below is the link to the electronic supplementary material.

Supplementary material 1 (DOCX 54 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Tóth-Király, I., Bőthe, B., Orosz, G. et al. A New Look on the Representation and Criterion Validity of Need Fulfillment: Application of the Bifactor Exploratory Structural Equation Modeling Framework. J Happiness Stud 20, 1609–1626 (2019). https://doi.org/10.1007/s10902-018-0015-y

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10902-018-0015-y

Keywords

Navigation