When using educational/psychological instruments, psychometric investigations should be conducted before adopting to new environments to ensure that an instrument measures the same constructs. Exploratory structural equation modeling and confirmatory factor analysis methods were used to examine the utility of the short form of the Pediatric Symptoms Checklist (PSC-17) in the school setting. Using a sample of 836 preschool children rated by teachers, three factors were identified across both techniques, with factors matching the hypothesized structure of the instrument. The PSC-17 may be an option for use in preschool settings when conducting behavioral and emotional screening.

Achenbach, T. M., Rescorla, L. A. (2001). Manual for the ASEBA school-age forms and profiles. Burlington, VT: Research Center for Children, Youth, and Families.
Google Scholar
American Educational Research Association, American Psychological Association, National Council on Measurement in Education, Joint Committee on Standards for Educational & Psychological Testing . (2014). Standards for educational and psychological testing. Washington, DC: American Educational Research Association.
Google Scholar
American Psychiatric Association . (2013). Diagnostic and statistical manual of mental disorders (5th ed.). Arlington, VA: American Psychiatric Publishing.
Google Scholar | Crossref
Aos, S., Lieb, R., Mayfield, J., Miller, M., Pennucci, A. (2004). Benefits and costs of prevention and early intervention programs for youth. Olympia: Washington State Institute for Public Policy.
Google Scholar
Asparouhov, T., Muthén, B. (2009). Exploratory structural equation modeling. Structural Equation Modeling, 16, 397-438.
Google Scholar | Crossref | ISI
Barbarin, O. A. (2007). Mental health screening of preschool children: Validity and reliability of ABLE. American Journal of Orthopsychiatry, 77, 402-418.
Google Scholar | Crossref | Medline | ISI
Benson, J., Nasser, F. (1998). On the use of factor analysis as a research tool. Journal of Vocational Education Research, 23, 13-33.
Google Scholar
Blucker, R. T., Jackson, D., Gillaspy, J. A., Hale, J., Wolraich, M., Gillaspy, S. R. (2014). Pediatric behavioral health screening in primary care: A preliminary analysis of the Pediatric Symptom Checklist-17 with functional impairment items. Clinical Pediatrics, 53, 449-455.
Google Scholar | SAGE Journals | ISI
Booth, T., Hughes, D. J. (2014). Exploratory structural equation modeling of personality data. Assessment, 21, 260-271. doi:10.1177/1073191114528029
Google Scholar | SAGE Journals | ISI
Campaign for Mental Health Reform . (2005). Emergency response: A roadmap for federal action on America’s mental health crisis. Washington, DC: Author.
Google Scholar
DiStefano, C., Ene, M., Leighton, E. (2015). Teacher ratings of child behavior in preschool: A MIMIC investigation of the BESS TRS-P. Psychological Assessment.
Google Scholar | Medline | ISI
DiStefano, C., Greer, F. W., Kamphaus, R. W. (2013). Multifactor modeling of emotional and behavioral risk of preschool-age children. Psychological Assessment, 25, 467-476.
Google Scholar | Crossref | Medline | ISI
Finney, S. J., DiStefano, C. (2013). Nonnormal and categorical data in structural equation models. In Hancock, G. R., Mueller, R. O. (Eds.), Structural equation modeling: A second course (2nd ed., pp. 439-492). Charlotte, NC: Information Age.
Google Scholar
Flanagan, K. S., Bierman, K. L., Kam, C. M. (2003). Identifying at-risk children at school entry: The usefulness of multibehavioral problem profiles. Journal of Clinical Child & Adolescent Psychology, 32, 396-407.
Google Scholar | Crossref | Medline | ISI
Furnham, A., Guenole, N., Levine, S. Z., Chamorro-Premuzic, T. (2012). The NEO Personality Inventory–Revised: Factor structure and gender invariance from exploratory structural equation modeling analyses in a high-stakes setting. Assessment, 20(14), 14-23. doi:10.1177/1073191112448213
Google Scholar | SAGE Journals | ISI
Furr, M. (2011). Scale construction and psychometrics for social and personality psychology. London, England: Sage.
Google Scholar | Crossref
Gardner, W., Murphy, J. M., Childs, G., Kelleher, K., Pagano, M., Jellinek, M., . . . Chiappetta, L. (1999). The PSC-17: A brief Pediatric Symptom Checklist with psychosocial problem subscales. A report from PROS and ASPN. Ambulatory Child Health, 5, 225-236.
Google Scholar
Gignac, G. E. (2008). Higher-order models versus direct hierarchical models: g as superordinate or breadth factor? Psychology Science, 50, 21-43.
Google Scholar
Glover, T. A., Albers, C. A. (2007). Considerations for evaluating universal screening assessments. Journal of School Psychology, 45, 117-135.
Google Scholar | Crossref | ISI
Goodman, R. (2001). Psychometric properties of the Strengths and Difficulties Questionnaire. Journal of the American Academy of Child & Adolescent Psychiatry, 40, 1337-1345.
Google Scholar | Crossref | Medline | ISI
Gorsuch, R. L. (1983). Factor analysis (2nd ed.). Hillsdale, NJ: Lawrence Erlbaum.
Google Scholar
Guzman, J., Kessler, R. C., Squicciarini, A. M., George, M., Baer, L., Canenguez, K. M., . . . Murphy, J. M. (2015). Evidence for the effectiveness of a national school-based mental health program in Chile. Journal of the American Academy of Child & Adolescent Psychiatry, 54, 799-807.
Google Scholar | Crossref | Medline | ISI
Harrison, J. R., Vannest, K. J., Reynolds, C. R. (2013). Social validity criteria applied to a screening instrument for emotional and behavioral issues. Journal of Behavioral Disorders, 38(3), 171-182.
Google Scholar | Abstract | ISI
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.
Google Scholar | Crossref | ISI
Jellinek, M. S., Murphy, J. M. (2006). Pediatric Symptoms Checklist–17 [Instrument]. Retrieved from http://www.massgeneral.org/psychiatry/assets/PSC-17_English.pdf
Google Scholar
Jellinek, M. S., Murphy, J. M., Burns, B. J. (1986). Brief psychosocial screening in outpatient pediatric practice. Journal of Pediatrics, 109, 371-378.
Google Scholar | Crossref | Medline | ISI
Kamphaus, R. W., DiStefano, C., Dowdy, E., Eklund, K., Dunn, A. R. (2010). Determining the presence of a problem: Comparing two approaches for detecting youth behavioral risk. School Psychology Review, 39(3), 395-407.
Google Scholar | ISI
Kamphaus, R. W., Reynolds, C. R. (2007). BASC-2 Behavioral and Emotional Screening System (BESS) manual. Circle Pines, MN: Pearson.
Google Scholar
Kazdin, A. E. (1987). Conduct disorders in childhood and adolescence. Newbury Park, CA: Sage.
Google Scholar
Kline, R. B. (2010). Principles and practice of structural equation modeling (3rd ed.). New York, NY: Guilford Press.
Google Scholar
Marsh, H. W., Liem, G. A. D., Martin, A. J., Morin, A. J. S., Nagengast, B. (2011). Methodological measurement fruitfulness of exploratory structural equation modeling (ESEM): New approaches to key substantive issues in motivation and engagement. Journal of Psychoeducational Assessment, 29, 322-346. doi:10.1177/0734282911406657
Google Scholar | SAGE Journals | ISI
Marsh, H. W., Lüdtke, O., Muthén, B., Asparouhov, T., Morin, A. J. S., Trautwein, U., Nagengast, B. (2010). A new look at the Big Five factor structure through exploratory structural equation modeling. Psychological Assessment, 22, 471-491. doi:10.1037/a0019227
Google Scholar | Crossref | Medline | ISI
Marsh, H. W., Muthén, B., Asparouhov, A., Lüdtke, O., Robitzsch, A., Morin, A. J. S., Trautwein, U. (2009). Exploratory structural equation modeling, integrating CFA and EFA: Application to students’ evaluations of university teaching. Structural Equation Modeling, 16, 439-476.
Google Scholar | Crossref | ISI
Muthén, L. K., Muthén, B. O. (1998-2010). Mplus user’s guide (7th ed.). Los Angeles, CA: Author.
Google Scholar
Rubin, K. H., Hymel, S., Mills, R. S. L. (1989). Sociability and social withdrawal in childhood: Stability and outcomes. Journal of Personality, 57, 237-255.
Google Scholar | Crossref | Medline | ISI
Schermelleh-Engel, K., Moosbrugger, H., Müller, H. (2003). Evaluating the fit of structural equation models: Tests of significance and descriptive goodness-of-fit measures. Methods of Psychological Research, 8(2), 23-74.
Google Scholar
Spinrad, T. L., Eisenberg, N., Harris, E., Hanish, L., Fabes, R. A., Kupanoff, K., . . . Holmes, J. (2004). The relation of children’s everyday nonsocial peer play behavior to their emotionality, regulation, and social functioning. Developmental Psychology, 40(1), 67-80.
Google Scholar | Crossref | Medline | ISI
Stoppelbein, L., Greening, L., Moll, G., Jordann, S., Suozzi, A. (2012). Factor analyses of the Pediatric Symptom Checklist–17 with African-American and Caucasian pediatric populations. Journal of Pediatric Psychology, 37, 348-357. doi:10.1093/jpepsy/jsr103
Google Scholar | Crossref | Medline | ISI
Taylor, H. G., Anselmo, M., Foreman, A. L., Schatschneider, C., Angelopoulos, J. (2000). Utility of kindergarten teacher judgments in identifying early learning problems. Journal of Learning Disabilities, 33, 200-210.
Google Scholar | SAGE Journals | ISI
ten Holt, J. C., van Duijn, M. A. J., Boomsma, A. (2010). Scale construction and evaluation in practice: A review of factor analysis versus item response theory applications. Psychological Test and Assessment Modeling, 52, 272-297.
Google Scholar
Teo, T. (2013). Examining the psychometric properties of the Epistemic Belief Inventory (EBI). Journal of Psychoeducational Assessment, 3(1), 72-79.
Google Scholar | SAGE Journals | ISI
Velicer, W. F. (1976). Determining the number of components from the matrix of partial correlations. Psychometrika, 41, 321-327.
Google Scholar | Crossref | ISI
Webster-Stratton, C., Reid, M. J. (2008). Adapting the incredible years child dinosaur social, emotional and problem solving intervention to address co-morbid diagnoses. Journal of Children’s Services, 3(3), 17-30.
Google Scholar | Crossref
Wiesner, M., Schanding, G. T. (2013). Exploratory structural equation modeling, bifactor models, and standard confirmatory factor analysis models: Application to the BASC-2 Behavioral and Emotional Screening System Teacher Form. Journal of School Psychology, 51, 751-763.
Google Scholar | Crossref | Medline | ISI
You, S., Furlong, M. J., Dowdy, E., Renshaw, T. L., Smith, D. C., O’Malley, M. D. (2014). Further validation of the Social and Emotional Health Survey for high school students. Applied Research in Quality of Life, 9(4), 997-1015.
Google Scholar | Crossref | ISI
Zevenbergen, A. A., Ryan, M. M. (2010). Gender differences in the relationship between attention problems and expressive language and emerging academic skills in preschool-aged children. Early Child Development and Care, 180, 1337-1348.
Google Scholar | Crossref
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