Short Version of the Electronic Device of the Mental Health Problems Assessment for Iranian Adolescents - Teacher Form

Authors
Saeed Akbari Zardkhaneh 1
BAHAREHALSADAT HEIDARIEHZADEH 1
Ali Mohammad zanganeh 2
nader Mansourkiaei 3
siamak Tahmasebi Garmatani 4
mohsen The glory of knowledge 2
seideinollah teimori 5
1 Shahid Beheshti University
2 Judiciary Prevention Deputy, Tehran
3 Allameh Tabatabaei University
4 University of Social Welfare and Rehabilitation Sciences, Tehran
5 Azad university
10.52547/rph.14.4.51
Abstract
Due to the great importance of mental health students screening and lack of an appropriate native tool that was prepared based on prevalent psychopathological problems in students, the aim of this study was to provide an Short Scale-Electronic Secondary Adolescent Mental Health Problems-Teacherchr('39')s Edition.The purpose of the present study was to conduct a descriptive survey in terms of purpose of applied research. The statistical population of this study was second year high school students in Sivik province in the year 1396-97 with a total of 3761 students. Results: The results of item analysis showed that most items have the necessary conditions for tool presence. Exploratory and confirmatory factor analysis showed that the eight-item 40-item model could be considered as the most appropriate scale factor structure. Factor correlation coefficients ranged from 0.7 to 0.94, and item-to-item correlation coefficients ranged from 0.63 to 0.82. Also, the coefficients of correlation between short and long-range factors were between 0.65 and 0.97. Conclusion: It can be concluded that the resulting psychometric properties indicate the suitability of the short form of psychological health questionnaire for screening practices in the student population.
Keywords
Keywords: critical thinking
teaching approaches
learning strategies
High school students
Achenbach, T. M. (1991). Manual for the Child Behavior Checklist/4-18 and 1991 Profile.Burlington, VT:
University of Vermont Department of Psychiatry.
Akbari-Zardkhaneh, S., et al. (2018). "Parent form of psychological pathology for childrenpreliminary study of
development and psychomentric properties." Quarterly Journal of Child Mental Health 4(4): 152-164.
Akbari-Zardkhaneh, S., et al. (2018). "Psychometric Properties of Electronic Mental Health Assessment Device
for High School Students: Teacher and Parent Form." Iranian Journal of Psychiatry and Clinical Psychology
24(3): 324-339.
Akbari-Zardkhaneh, S., et al. (2019). "Development and Psychometric Properties of Preliminary Ver-sion of
Mental Health Problems Scale (Self-Report form) for Youths in Iran." Journal of Research in Psycho-logical
Health 2(4): 94-109.
Akbari-Zardkhaneh, S., et al. (under judgment). Psychometric Properties of Electronic Teacher Form of
National Psychological Health Scale in High School Student: Item Analysis and Internal Structure.
Albers, C. A., Glover, T. A. (2007). Considerations for evaluating universal screening assessments. Journal of
School Psychology, 45, 117–135.
Anastasi, A. (1982). Psychological testing (5th ed) New York: Macmillan.
Bamford, J., Uus, K., Davis, A. (2005) Screening for hearing loss in childhood: issues, evidence and current
approaches in the UK. J Med Screen. 12(3):119-24.
Bar-Dayan, Y., Saed, H., Boaz, M., Misch, Y., Shahar, T., Husiascky, I., & Blumenfeld, O. (2013). Using
electronic health records to save money. Journal of the American Medical Informatics Association,
20(e1):e17-20.
Beck, A. T. (1967). Depression: Clinical, experimental and theoretical aspects. New York: Harper & Row.
Dillman, D.A., Smyth, J.D., Christian, L.M (2011). Internet, Mail, and Mixed-Mode Surveys: The Tailored Design
Method. Wiley, Hoboken, NJ.
Epstein, R., & Muzzatti, L. (2011). Preliminary Validation of an Online DSM-Based Mental Health Referral
Inventory. Journal of Technology in Human Services, 29(4), 284-295.
Gardner W, Murphy M, Childs G, Kelleher K, Pagano M, Jellinek M, McInerny TK, Wasserman RC,
Goodwin, S. W., Ferro, M. A., Speechley, K. N. (2019). Measurement equivalence of the short-form Quality of
Life in Childhood Epilepsy Questionnaire (QOLCE-16). Journal home page. Epilepsy & Behavior 90, 142-
147. www.elsevier.com/locate/yebeh.
Hair, J. F; Black, W; Babin, B. J & Anderson, R. E. (2014). Multivariate Data Analysis. England and
Associated Companies throughout the world.
Health and Human Services. http://www.surgeongeneral.gov/topics/ cmh/childreport.htm. Accessed 1 Sept
2005.
Howell, D. C. (2007). Statistical Methods for Psychology (6th Ed). Belmont, California: Duxbury Press.
Jellinek, MS., Murphy, JM., Robinson, J., Feins, A., Lamb, S., Fenton, T. (1988). Pediatric Symptom Checklist:
screening school-age children for psychosocial dysfunction. The Journal of Pediatrics. 112(2):201-9.
[PMID].
Joreskog K, Sorbom D. LISREL 8: User s reference guide. Chicago: Scientific Software International, 1996.
Julie, P. (2010). SPSS survival manual: A step by step guide to data analysis using the SPSS program.
Translated Dy: Akbar Rezaei. Tabriz: Forozesh.
Kaiser, H. F. (1974) an index of factorial simplicity. Psvchometrika, 39, 31-36.
Katie Eklund, Tyler L. Renshaw, Erin Dowdy, Shane R. Jimerson, Shelley R. Hart, Camille N. Jones, & Earha,J.
(2009). Early Identification of Behavioral and Emotional Problems in Youth: Universal screening versus
Teacher-Referral Identification, The California School Psychologist, The California School Psychologist, 14, 89-
95.
Khodayarifardm M., Akbari Zardkhaneh S., Zeinali SH. (2014). Dimensional Obsessive- Compulsive Scale:
Adaptation of Farsi version (DOCS-F). Journal of Behavioral Sciences, 7(4), 379-388.
Kiesler, S., & Sproull, L. S. (1986). Response Effects in the Electronic Survey. Public Opinion Quarterly. 50(3).
P 402–413.
Kline RB. (2005). Principles and practice of structural equation modeling. New York: Guilford.
Lane, K., Kalberg, J.R, Bruhn, A.L., Driscoll, S.A., Wehby, J.H., Elliott, S.N. (2009). Assessing social validity of
school-wide positive behavior support plans: Evidence for the reliability and structure of the primary
intervention rating scale. School Psychology Review. 38(1):135-44.
Madariaga, L., Nussbaum, M., Burq, I., Marañón, F., Salazar, D., Maldonado, L. Naranjo, M. A. (2017). Online
survey: A national study with school principals. Computers in Human Behavior, 74(Supplement C), 35-44.
Magnin, E., & Maurs, C. Attention-deficit/hyperactivity disorder during adulthood (2017). The Journal of Revue
Neurologique. 173(7–8), 506-515.
McCoy, S., & Marks, P. (2001). Using electronic surveys to collect data: Experiences from the field. AMCIS,
290.
Mohr, P.E., Feldman, J.J., Dunbar, J.L., &et al. (2000). The societal costs of severeto profound hearing loss in
the United States. Int J Technology Assess Health Care. 16(4):1120-35.
Michael J. Furlong, Sukkyung You, Tyler L. Renshaw, Douglas C. Smith, Meagan D. O’Malley. (2014).
Preliminary Development and Validation of the Social and Emotional Health Survey for Secondary School
Students, Social Indictor Research, 117, 1011-1032. DOI 10.1007/s11205-013-0373-0.
Mitchell, M. L., & Jolley, J.M. (2004). Research design explained. 5th edition.Victoria: Wadsworth Publisher.
Mitchell, M.L., & Jolley, J.M. (2004). Research design explained. 5th edition.Victoria: Wadsworth Publisher.
Muris, P., et al. (2002). "Three traditional and three new childhood anxiety questionnaires: Their reliability and
validity in a normal adolescent sample." Behaviour research and therapy 40(7): 753-772.
Nunnally, J, O. (1986). Psychometric theory. New York: McGraw- Hill.
Nutting P, Chiappetta L. (1999). The PSC-17: A brief pediatric symptom checklist including psychosocial
problem subscales: A report from PROS and ASPN. Ambulatory Child Health; 5: 225–236.
Olusanya, B. O. (2008). Priorities for early hearing detection and intervention in sub-Saharan Africa. Int J
Audiol.47 Suppl1:S3-13.
Pearson, R. H. (2008). Recommended sample size for conducting exploratory factor analysis on dichotomous
data. Colo Herit.
Renshaw, T. L. (2017). Preliminary Validation of the Subjective Academic Problems Scale: A New Tool to Aid in
Triaging School Mental Health Screening Results. Canadian Journal of School Psychology. First Published
March30.
Richardson, L., Zhou, C. H., Gersh, E., Spielvogle, H., Taylor, J. A., McCarty, C. A. (2019). Effect of Electronic
Screening with Personalized Feedback on Adolescent Health Risk Behaviors in a Primary Care Setting a
Randomized Clinical Trial. JAMA Network Open; 2(5):e193581.
Riley, M., Patterson, V., Lane, H.C McDonald Won, K., Ranalli, L. (2018). The Adolescent Champion Model:
Primary Care Becomes Adolescent-Centered via Targeted Quality Improvement. The Journal of Pediatrics,
193, (8), 229-236.
Russell, D., Peplau, L. A. &Fergusen, M. L. (1978).Developing a measure of loneliness. Journal of Personality
Assessment, Vol. 42, 290-294.
Shannon, D. M., Johnson, T. E., Searcy, S. and Lott, A. (2002). “Using electronic surveys: advice from survey
professionals”. Practical Assessment, Research & Evaluation, 8(1), [on-line].
Stiffler, M. C., & Dever, B. V. (2015). Mental health screening at school: Instrumentation, implementation, and
critical issues.
Swanston, H. Y., Parkinson, P. N., Oates, R. K., O’Toole, B. I., Plunkett, A. M., Shrimpton, S. (2002). Further
abuse of sexually abused children. Child Abuse & Neglect. 26(2):115-27.
Tukey JW. Expioratory data analysis. Reading, MA: Addison-Wesley; 1977.
United States Public Health Service (2000). Report of the Surgeon General’s Conference on Children’s Mental
Health: A national action agenda. Washington D.C.: Department of
Walker, H. M., Severson, H. (1992). Systematic Screening for Behavior Disorders (SSBD). Second Edition.
Walker, H. M., Small, J. W., Severson, H. H., Seeley, J. R., & Feil, E. G. (2014). Multiplegating approaches in
universal screening within school and community settings. In R. J.
Wallin, E. E. K., Mattsson, S., Olsson, E. M.G. (2016). The Preference for Internet-Based Psychological
Interventions by Individuals without Past or Current Use of Mental Health Treatment Delivered Online: A
Survey Study with Mixed-Methods Analysis. JMIR Mental Health; 3(2):e25.