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Abstract
Using a multilevel latent growth curve modeling (LGCM) approach, this study examined longitudinal change in levels of physical fitness performance over time (i.e. four years) in young adolescents aged from 12–13 years. The sample consisted of 6622 students from 138 secondary schools in Singapore. Initial analyses found between-school variation on fitness test scores with intra-class correlations ranging from 0.02–0.19. Subsequent multilevel growth curve analyses revealed a quadratic trend of the longitudinal data across five stations of performance tests, with significant within-school student variability in change over time. The result of the multilevel LGCM showed that there were strong school effects on all of the physical fitness performances, in addition to inter- and intra-individual differences.
References
Section:
|
Bentler, PM, Wu, E (1998) EQS for Windows (Version 5.7). Encino, CA: Multivariate Software. Google Scholar | |
|
Butte, NF, Puyay, MR, Adolph, AL, Vohra, FA, Zakeri, I (2007) Physical activity in non-overweight and overweight Hispanic children and adolescent. Medicine & Science in Sports and Exercise 39(8): 1257–1266. Google Scholar | Crossref | Medline | ISI | |
|
Byrne, BM (2006) Structural Equation Modeling with EQS: Basic Concepts, Applications and Programming (2 nd ed n). Mahwah, NJ: Lawrence Erlbaum Associates. Google Scholar | |
|
Cale, L, Harris, J (2009) Fitness testing in physical education: A misdirected effort in promoting healthy lifestyles and physical activity? Physical Education and Sport Pedagogy 14(1): 89–108. Google Scholar | Crossref | |
|
Card, NA, Little, TD, Bovaird, JA (2007) Modeling ecological and contextual effects in longitudinal studies of human development. In: Little, TD, Bovaird, JA, Card, NA (eds). Modeling Contextual Effects in Longitudinal Studies. Mahwah, NJ: Lawrence Elbaum Asscoaites, Inc, pp. 1–12. Google Scholar | |
|
Corbin, CB, Pangrazi, RP, Welk, GJ (1995) A response to 'The horse is dead; let's dismount'. Pediatric Exercise Science 7(4): 347–351. Google Scholar | Crossref | |
|
Duncan, TE, Duncan, SC, Alpert, A, Hops, H, Stoolmiller, M, Muthén, B (1997) Latent variable modeling of longitudinal and multilevel substance use data. Multivariate Behavioral Research 32(2): 275–318. Google Scholar | Crossref | Medline | ISI | |
|
Duncan, TE, Duncan, SC, Strycker, LA (2006) An Introduction to Latent Variable GrowthCurve Modeling: Concepts, Issues, and Applications (2nd edn). Mahwah, NJ: Lawrence Erlbaum Associates. Google Scholar | |
|
Ellis, BJ, Shirtcliff, EA, Boyce, WT, Deardorff, J, Essex, MJ (2011) Quality of early relationships and the timing and tempo of pubert: Effects depend on biological sensitivity to context Developmental Psycholpathology 23(1): 85–99. Google Scholar | Crossref | ISI | |
|
Fan, X, Fan, X (2005) Power of latent growth modeling for detecting linear growth: Number of measurements and comoparison with other analytic approach. Journal of Experimental Education 73(2): 121–139. Google Scholar | Crossref | ISI | |
|
Giam, CK (1981) Physical fitness - Definition and assessment. Singapore Medical Journal 22: 176–181. Google Scholar | Medline | |
|
Harris, J, Cale, L (2006) A review of children’s fitness testing. European Physical Education Review 12(2): 201–225. Google Scholar | SAGE Journals | ISI | |
|
Hox, JJ (2002) Multilevel Analysis: Techniques and Applications. Mahwah, NJ: Lawrence Erlbaum Associates. Google Scholar | Crossref | |
|
Hu, L, Bentler, PM (1999) Curoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling 6(1): 1–55. Google Scholar | Crossref | ISI | |
|
Jackson, AS (2006) The evolution and validity of health-related fitness. Quest 58(1): 160–175. Google Scholar | Crossref | ISI | |
|
Jones, MA, Hitchen, PJ, Stratton, G (2000) The importance of considering biological maturity when assessing physical fitness measures in girls and boys aged 10 to 16 years. Annals of Human Biology 27(1): 57–65. Google Scholar | Crossref | Medline | ISI | |
|
Kemp, C, Pienaar, AE (2009) Effect of aerobic-based physical activity programme on physical fitness of 10 - 15 year-old girls. African Journal for Physical, Health Education, Recreation, and Dance 14(4): 527–542. Google Scholar | |
|
Lupker, RV (1999) How physically active are American children and what can we do about it? International Journal of Obesity 23(3): S12–S17. Google Scholar | Crossref | |
|
McArdle, JJ (1988) Dynamic but structural equation modeling of repeated measures data. In: Nesselroade, JR, Cattel, RB, (eds). Handbook of Multivariate Experimental Psychology (2nd edn). New York: Plenum, pp 561–614. Google Scholar | Crossref | |
|
McKenzie, TL (2001) Promoting physical activity in youth: focus on middle school environments. Quest 53(3): 326–334. Google Scholar | Crossref | ISI | |
|
Meredith, W, Tisak, J (1990) Latent curve analysis. Psychometrika 55: 107–122. Google Scholar | Crossref | ISI | |
|
Muthén, B (1991) Multilevel factor analysis of class and student achievement components. Journal of Educational Measurement 28(4): 338–354. Google Scholar | Crossref | ISI | |
|
Muthén, B (1994) Multilevel covariance structure analysis. Sociological Methods & Research 22(3): 376–398. Google Scholar | SAGE Journals | ISI | |
|
National Association for Sport and Physical Education (2005). Physical Education for Lifelong Fitness (2nd edn). Champaign, IL: Human Kinetics. Google Scholar | |
|
Park, I, Schutz, RW (2005) An introduction to latent growth models: analysis of repeated measures physical performance data. Research Quarterly for Exercise and Sport 76(2): 176–192. Google Scholar | Crossref | Medline | ISI | |
|
Park, MJ, Brindis, CD, Chang, F, Irwin, CEJ (2008) A midcourse review of the Healthy People 2010: 21 critical health objectives for adolescents and young adults. Journal of Adolescent Health 42(4): 329–334. Google Scholar | Crossref | Medline | ISI | |
|
Physical Activity Guidelines Advisory Committee . (2008). Physical Activity Guidelines Advisory Committee Report 2008. Washington, DC: U.S. Department of Health & Human Services. Google Scholar | |
|
Rao, CR (1958) Some statistical methods for comparison of growth curves. Biometrics 14: 1–17. Google Scholar | Crossref | ISI | |
|
Rovine, MJ, Molenaar, PCM (1998) A LISREL model for the analysis of repeated measures with a patterned convariance matrix. Structural Equation Modeling 5(4): 318–343. Google Scholar | Crossref | ISI | |
|
Rowland, TW (1995) The horse is dead: let's dismount. Pediatric Exercise Science 7(2): 117–120. Google Scholar | Crossref | |
|
Rowland, TW (2005) Children’s Exercise Physiology (2nd edn). Champaign, IL: Human Kinetics., Google Scholar | |
|
Silverman, S, Keating, XD, Phillips, SR (2008) A lasting impression: a pedagogical perspective on youth fitness testing. Measurement in Physical Education and Exercise Science 12: 146–166. Google Scholar | Crossref | |
|
Singer, JD, Willet, JB (2003) Applied longitudinal data analysis. New York: Oxford University Press. Google Scholar | Crossref | |
|
Stoolmiller, M (1995) Using latent growth curve models to study developmental processes. In: Gottman, JM (ed) The Analysis of Change. Mahwah, NJ: Lawrence Erlbaum, pp 103–138. Google Scholar | |
|
Tomarken, AJ, Waller, NG (2005) Structural equation modeling: strengths, limitations, and misconceptions. Annual Review of Clinical Psychology 1: 31–65. Google Scholar | Crossref | Medline | ISI | |
|
Tomkinson, GR, Olds, TS, Gulbin, J (2003) Secular trends in physical performance of Australian children. Journal of Sports Medicine and Physical Fitness 43(1): 90–98. Google Scholar | Medline | ISI | |
|
Tucker, LR (1958) Determination of parameters of a function relation by factor analysis. Psychometrika 38: 1–10. Google Scholar | Crossref | ISI | |
|
Voelkle, MC (2007) Latent growth curve modeling as an integrative approach to the analysis of change. Psychology Science 49(4): 375–414. Google Scholar | |
|
Wedderkopp, N, Froberg, K, Hansen, HS, Andersen, LB (2004) Secular trends in physical fitness and obesity in Danish 9-year-old girls and boys: odense school child study and Danish substudy of the European youth heart study. Scandinavean Journal Medicine Science and Sports 14(3): 150–155. Google Scholar | Crossref | Medline | ISI | |
|
Welk, GJ (2008) The role of physical activity assessments for school-based physical activity promotion. Measurement in Physical Education and Exercise Science 12: 184–206. Google Scholar | Crossref | |
|
Wiersma, LD, Sherman, CP (2008) The responsible use of youth fitness testing to enhance student motivation, enjoyment, and performance. Measurement in Physical Education and Exercise Science 12: 167–183. Google Scholar | Crossref |
