International E-publication: Publish Projects, Dissertation, Theses, Books, Souvenir, Conference Proceeding with ISBN.  International E-Bulletin: Information/News regarding: Academics and Research

Planning and Standardizing of Stress Questionnaire Based Upon Transactional Model

Author Affiliations

  • 1Yazd Shahid Sadoughi University of Medical Sciences, School of Health, Yazd, IRAN
  • 2Tehran University of Medical Sciences, Tehran, IRAN
  • 3Shiraz University of medical sciences, Shiraz, IRAN
  • 4Jondishapoor University of Medical Sciences, Ahvaz, IRAN
  • 5Department of Education and Training office, Yazd, IRAN

Res. J. Recent Sci., Volume 3, Issue (6), Pages 20-25, June,2 (2014)


The importance of stress amongst the teachers, on one hand, and lake of a valid and reliable instrument to measure the stress based on Lazarus and Folkman Transactional Model, on the other hand, made us to provide a instrument for Iranian teachers to apply. The aim of this study was planning and standardizing of Stress Questionnaire Based upon Transactional Model. This survey is a descriptive- analytical one, which its sample population includes in Yazd teachers of primary schools. The total sample, 100 people, has been selected using categorical sampling. A primary 64 -questions list was provided to plan the questionnaire, first. Content validity, and CVR, CVI approaches; construct validity by confirmatory factor, criterion-related validity by Pierson Correction, Cronbach’s alpha coefficient, and correlation matrix were applied to study internal validity and adaption. SPSS 15 and Amos 21 were used to analyze the data collected. Planning 62-questions questionnaire was followed by validity and reliability processes. Content validity index appeared 0.85, which was acceptable. The results of the study of construct validity, came out of the analysis of confirmatory factor, represented relatively goodness of fit of the model used. In addition, criterion-related validity showed a significant estimation power for the instrument, r=0.75, (p0.001). Cronbach’s alpha results (=0.87) conformed the reliability of the instrument. According to the results, applying this instrument to recognize the people and their problems and removing the stress amongst them is recommended.


  1. Bennett H. and Wells A., Metacognition, memory disorganization and rumination in posttraumatic, J Anxiety Disorder, 24(3), 318-25 (2010)
  2. Sarafino E.P., Health psychology: J of Anxiety Disorder, 24(3), 318-25 (2000)
  3. Kiecolt-Glaser J.K., Glaser R., Strain E.C., Stout J.C., Tarr K.L., Holliday J.E. and Speicher C.E., J ofBehavioral Medicine, , 5-21 (1999)
  4. Krishania S. and Agarwal K., Effects of heavy metal stress on callus induction and regeneration of Finger millet (Eleusine coracana) (L.) Gaertn, Research Journal of Recent Sciences, , 24-28 (2013)
  5. ChoiSang L., Ahmad J., Musibau A. and LimCheng G., A Review on Job Stressor in the Perspective of Health Care Industry, Research Journal of Recent Sciences, 2(3), 81-86 (2013)
  6. Iyer K. and Khan Z.A. Depression – A Review, Research Journal of Recent Sciences, 1(4), 79-87 (2012)
  7. Jarvis M., Teacher stress: A critical review of recent findings and suggestions for future research directions, 14, 12-16 (2002)
  8. Kyriacou C. and Sutcliffe S.J., stress: A review, Educational Review, 29, 299-306 (1987)
  9. Glanz K., Barbara K., and Rimer K., Stress, coping and health behavior in edtors health behavior and health education theory, research and practice, Jossey-Bass Publication, 4TH ed, (2011)
  10. Flavio CV., Isabella F.G. and Joao M., Stress in Organizations: between Efficiency and the Institutionalization of Fear, Associacao Nacional De Pos-Graduacao, 5(1),37-52 (2008)
  11. Lawshe C.H., A quantitative approach to content validity, Personnel Psychology, 28, 563-575 (1995)
  12. Litze H.U. and Bentler P.M., Cutoff Criteria for Fit Indexes in Covariance Structure Analysis: Conventional Criteria Versus New Alternatives, Structural Equation Modeling: A MultidisciplinaryJournal, , 1-55 (2009)
  13. Kenny D.A. and McCoach D.B., Effect of the Number of Variables on Measures of Fit in Structural Equation Modeling, Structural Equation Modeling: A Multidisciplinary Journal, 10, 333-351 (2003)
  14. Wheaton B., Muthen B., Alwin D. and Summers G., Assessing Reliability and Stability in Panel Models, Sociological Methodology, , 84-136 (1987)
  15. Hooper D. and Coughlan J., Structural Equation Modelling: Guidelines for Determining Model Fit, The Electronic Journal of Business Research Methods,, 53-60 (2008)
  16. Kumar J.T. and Sharma A., Service Quality Model: Model Fit Indices Results, International Journal of Engineering Research and Technology, 10, 1-12 (2012)
  17. Bentler P.M., Comparative Fit Indexes in Structural Models," Psychological Bulletin, 107, 238-246 (1990)
  18. Tabachnick B.G. and Fidell L.S., Using Multivariate Statistics, Pearson Higher Ed USA Publication, 6th ed, (2007)
  19. Dillman D.A., Internet Surveys: The Tailored Design Method. 2nd ed, (2000)
  20. Cohen S., Kamarck T. and Mermelstein R.A., global measure of perceived stress, J Health Soc Behav, 24, 358-396 (1983)
  21. Robert F.D., Scale Development: Theory and Applications, SAGE Publication, 3th ed, (2008)
  22. Kyunghee H., Gray N., Nathan C., Gregory T. and Nancy K.S. Evaluation of an Observe From of the Coping Inventory for Stressful Situations, SAGE Journal, 69(4),657-695 (2009)
  23. Karin G., Natvig: Coping with ageing and failing health: A qualitative study among elderly living alone, Journal of Nursing Practice,15, 257-264 (2009)
  24. Yaghmaie F., Content validity and its estimation, Journal of Medical Education Spring, , 25-27 (2003)