THE ADOLESCENTS’ PSYCHOSOCIAL FUNCTIONING INVENTORY (APFI): SCALE DEVELOPMENT AND INITIAL VALIDATION USING EXPLORATORY AND CONFIRMATORY FACTOR ANALYSIS

Onoja Matthew AKPA, Elijah Afolabi BAMGBOYE, Olusegun BAIYEWU

Abstract



Most of the existing measures of psychosocial functioning among adolescents are developed outside Lower-middle-income countries (LMIC). Measures relevant to the LMIC setting will provide opportunity to assess the functioning of adolescents in these settings based on their background or context. The Adolescents’ Psychosocial Functioning Inventory (APFI) which addresses relevant challenges and expectations of adolescents in the LMIC settings was developed to bridge this gap in knowledge. A total of 753 adolescents from purposively selected secondary schools participated in this study. Preliminary analyses were performed using descriptive statistics. The underlying factor structure of the APFI was explored using Exploratory and confirmatory Factor Analysis. Chi-square Goodness of Fit (CGF) and other fit indices were used to assess model fit. Cronbachs alpha was used to assess the reliability of the items and subscales of the APFI. The final model derived from the factor analyses yielded a 23-item three-factor model that provided the best fit to the data. Estimate of overall reliability of the APFI scale was while all three factors/subscales: Optimism and Coping Strategy (OCS), Behaviour and Relationship Problems (BRP), and General Psychosocial Dysfunctions (GPD) had moderate to high reliability ( for OCS, for BRP and for GPD). The CGF yielded =1.58 while all other fit indices were in the acceptable range. The three-factor model APFI is a reliable measure for assessing psychosocial functioning among adolescents in the LMIC.


Keywords


Psychosocial functioning, Children and Adolescents, Scale development, Initial Reliability and Validity, Exploratory Factor analysis, Confirmatory Factor analysis

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References


Akpa, O.M., & Unuabonah, E.I. (2011). Small-Sample Corrected Akaike Information Criterion: An Appropriate

Statistical tool for ranking of adsorption isotherm models. Desalination, 272, 20-26

Akpan, M.U., Ojinnaka, N.C. & Ekanem, E. (2010). Behavioural problems among schoolchildren in Nigeria. South

African Journal of Psychology, 16, 50-55

Bailey, T.M., Chung, Y.B., Terrell, H.K., Williams, W.S., & Singh, A.A. (2011). Development and Validation of the

Internalized Racial Oppression Scale for Black Individuals. Journal of Counseling Psychology, 58, 481–493

Brown, L., Rice, J., Boris, N., Thurman, T.R., Snider, L., Ntaganira, J., Nyirazinyoye, L., Kalisa, E.,& Nshizirungu, E.

(2007). Psychosocial benefits of a mentoring program for youth-headed households in Rwanda. Horizons

Research Summary (Washington, D.C.: Population Council); Retrived from

www.popcouncil.org/pdfs/horizons/RwandaPsychOVCImpactSum.pdf ‎

Buckner, J.C., Mezzacappa, E. & Beardslee, W.R. (2003). Characteristics of resilient youths living in poverty: the role

of self-regulatory processes. Developmental Psychopathology, 15, 139–162.

Doku, P.N. (2009). Parental HIV/AIDS status and death, and children's psychological wellbeing. International Journal

of Mental Health Systems, 3, 26 doi:10.1186/1752-4458-3-26

Gibbs, J.C., Potter, G.B., Barriga, A.Q., & Liau, A.K. (1996). Developing the helping skills and Prosocial motivation of

aggressive adolescents in peer group programs. Aggression and Violent Behavior, 1, 283-305.

Gilborn, L., Apicella, L., Brakarsh, J., Dube, L., Jemison, K., Kluckow, M., Smith, T., & Snider, L. (2006). Orphans and

vulnerable youth in Bulawayo, Zimbabwe: An exploratory study of psychosocial well-being and psychosocial

support programs. Horizons Final Report (Washington, D.C.: Population Council). Retrieved from

www.popcouncil.org/pdfs/horizons/zimorphans.pdf

Goodman, R. (1997). The Strengths and Difficulties Questionnaire: A Research Note. Journal of Child Psychology

and Psychiatry, 38, 581-586.

Hu, L., & Bentler, P.M. (2000). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria

versus new alternatives. Structural Equation Modeling, 6, 1-55.

IBM Statistics (2013). Satorra-Bentler Scaled Chi-square test statistic. Retrieved from http://www-01.ibm.com/support/docview.wss?uid=swg21476184

King, E., De Silva, M., Stein, A., & Patel, V. (2009). Interventions for improving the psychosocial well-being of children

affected by HIV and AIDS. Cochrane Database of Systematic Reviews, 2. Retrieved from

www.onlinelibrary.wiley.com/doi/10.1002/14651858.CD006733.pub2/pdf

Kovacs, M. (1992). Manual of the Children’s Depression Inventory. Toronto: Multi-Heath Systems. Retrieved from

http://www.acer.edu.au/documents/CDI-2-Parent-Assessment- Report-SAMPLE.pdf

Lange, J., Geiser, C., Wiedl, K.H. & Schöttke, H. (2012). Screening for personality disorders: A new questionnaire

and its validation using Latent Class Analysis. Psychological Test and Assessment Modeling, 54, 323-342

Liau, A.K,, Chow, D., Tan, T.K. & Senf, K. (2011). Development and Validation of the Personal Strengths Inventory

Using Exploratory and Confirmatory Factor Analyses. Journal of Psychoeducational Assessment, 29, 14-26

Lyubomirsky, S. (2001). Why are some people happier than others? American Psychologist, 56, 239-249.

Moberg, D.P., & Hahn, L. (1991). The Adolescent Drug Involvement Scale. Journal of Adolescent Chemical

Dependency, 2, 75-88

Moime, W.M. (2009). The effect of Orphanhood On The Psychosocial Development Of Pre-Primary And Primary

School Learners. PhD Thesis. University of South Africa, Psychology of Education Department. Retrieved

From http://uir.unisa.ac.za/bitstream/handle/10500/2694/dissertation_moime_%20w.pdf?sequence=1

Mugisha, F., Arinaitwe-Mugisha, J. & Hagembe, B.O.N. (2005). Alcohol, substance and drug use among urban slum

adolescents in Nairobi, Kenya. Cities. 2003, 20, 231–240.

Mullick, M.S.I., & Goodman, R. (2011). Questionnaire screening for mental health problems in Bangladeshi children:

a preliminary study. Social Psychiatry and Psychiatric Epidemiology, 36, 94-99

Ndugwa, R., Kabiru, C., Cleland, J., Beguy, D., Egondi, T., Zulu, E. & Jessor, R. (2011). Adolescent problem behavior

in Nairobi’s informal settlements: applying problem behavior theory in sub-Saharan Africa. Journal of Urban

Health, 88, s298–s317.

Negovan, V. (2010). Dimensions of students’ psychosocial well-being and their measurement: Validation of a

students’ Psychosocial Well Being Inventory. Europe’s Journal of Psychology, 2, 85-104

Norman, G.J., Carlson, J.A., Sallis, J.F., Wagner, N., Calfas, K.J., & Patrick, K. (2010). Reliability and validity of brief

psychosocial measures related to dietary behaviours. International Journal of Behavioural Nutrition and Physical

Activity ,7, 56.

O'Connor, B.P. (2000). SPSS and SAS programs for determining the number of components using parallel analysis

and Velicer's MAP test. Behavior Research Methods, Instrumentation, and Computers, 32, 396-402.

Pinterits, E.J., Poteat, V.P., & Spanierman, L.B. (2009). The White Privilege Attitudes Scale: Development and Initial

Validation. Journal of Counseling Psychology, 56, 417–429

Roberts, B., Odong, V.N., Browne, J., Ocaka, K.F., Geissler, W., & Sondorp, E. (2009). An exploration of social

determinants of health amongst internally displaced persons in northern Uganda. Conflict and Health, 3, 10.

doi:10.1186/1752-1505-3-10

Schmitt, T.A. (2011). Current Methodological Considerations in Exploratory and Confirmatory Factor Analysis.

Journal of Psychoeducational Assessment, 29, 304-321

Shilubane1, H.N., Ruiter, R.A.C., Borne, B., Sewpaul, R., James, S., & Reddy, P.S. (2013). Suicide and related

health risk behaviours among school learners in South Africa: Results from the 2002 and 2008 national youth

risk behaviour Surveys. BMC Public Health, 13, 926

Silk, J.S., Steinberg, L., & Morris, A.S. (2003). Adolescents’ emotion regulation in daily life: Links to depressive

symptoms and problem behavior. Child Development, 74, 1869-1880.

Spanierman, L.B., & Heppner, M.J. (2004). Psychosocial Costs of Racism to Whites Scale (PCRW): Construction and

Initial Validation. Journal of Counseling Psychology, 51, 249-262

The World Bank (2013). Country and lending group. Retrieved from http://data.worldbank.org/about/country-and-lending-groups

Vermaak, K., Mavimbela, N., Chege, J., & Esu-Williams, E. (2010). Vulnerability and intervention opportunities:

Research findings on youth and HIV/AIDS in South Africa. Horizons Research Update (Washington, D.C.:

Population Council. Retrieved from www.popcouncil.org/pdfs/horizons/nmcfythsum.pdf ‎

Warnick, E., Bracken, M., & Kasl, S. (2008). Screening efficiency of the Child Behavior Checklist and Strengths and

Difficulties Questionnaire: a systematic review. Child and Adolescent Mental Health, 13,140–147

Wei, M., Alvarez, A.N., Ku, T., Russell, D.W., & Bonett, D.G. (2010). Development and Validation of a Coping with

Discrimination Scale: Factor Structure, Reliability, and Validity. Journal of Counseling Psychology, 57, 328–344

Wren, D.G., & Benson, J. (2004). Measuring test anxiety in children: scale Development an internal construct

validation. Anxiety, Stress, and Coping, 17, 227-240

Yang, Y. & Montgomery, D. (2011). Exploratory and Confirmatory Factor Analyses of the Multicultural Teaching

Scale. Journal of Psychoeducational Assessment, 29, 261-272

Zhou, G. (2012). Understanding the Psychosocial Well-being of Orphans and Vulnerable Children (OVC): The

Intersection of Research and Policy. Undergraduate Thesis. Duke University-Durham, Sanford Institute of Public

Policy Studies. Retrieved from http://dukespace.lib.duke.edu/dspace/bitstream/handle/10161/5386/Grace%20Zhou%20F INAL.pdf?sequence=1


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