Skip to main content

Advertisement

Log in

Developing a Monitoring System for Indicators in Middle Childhood: Identifying Measures

  • Published:
Child Indicators Research Aims and scope Submit manuscript

Abstract

This paper builds on an initial paper (Moore and Theokas, Child Indicators Research, 2008 DOI 10.1007/s12187-008-9011-9) that conceptualizes elements of well-being relevant for the middle childhood period, identifies potential constructs and develops criteria for indicators. Here, we follow up by identifying a set of 20 indicator constructs, half positive and half negative. Of these 20, half measure child well-being and half measure contexts that affect child development. For each construct, we discuss evidence of importance and provide, where possible, examples of measures from US surveys.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

Notes

  1. In the USA, middle childhood is commonly defined as ages 6–11. These ages encompass the years that US children generally attend elementary school. In addition, this 6-year age span meshes well with other six-year age groupings – 0–5 for early childhood and 12–17 for adolescence. Of course, each of these periods can be sub-divided, and other age categories are sometimes used as well.

  2. In addition, information on the indicator’s malleability and usefulness in looking at trends is available from the authors in the full version of this paper. Malleability refers to the extent to which change is possible. This is relevant because there is greater value in monitoring indicators that are likely to change over time. Evidence of malleability was found for all 20 indicators discussed here.

References

  • Achenbach, T. M., & Rescorla, L. A. (2000). Manual for the ASEBA preschool form & profiles. Burlington, VT: University of Vermont, Research Center for Children, Youth, & Families.

    Google Scholar 

  • Alaimo, K., Olson, C. M., & Frongillo, E. A. (2001). Food insufficiency and American school-aged children’s cognitive, academic, and psychosocial development. Pediatrics, 108(1), 44–53.

    Google Scholar 

  • Angold, A., Costello, E. J., Messer, S. C., Pickles, A., Winder, F., & Silver, D. (1995). The development of a short questionnaire for use in epidemiological studies of depression in children and adolescents. International Journal of Methods in Psychiatric Research, 5, 1–12.

    Google Scholar 

  • Asher, S. R., Hymel, S., & Renshaw, P. D. (1984). Loneliness in Children. Child Development, 55(4), 1456.

    Article  Google Scholar 

  • Asher, S. R., & Paquette, J. A. (2003). Loneliness and peer relations in childhood. Current Directions in Psychological Science, 12(3), 75–78.

    Article  Google Scholar 

  • Asher, S. R., & Wheeler, V. A. (1985). Children’s loneliness: a comparison of rejected and neglected peer status. Journal of Consulting and Clinical Psychology, 53, 500–505.

    Article  Google Scholar 

  • Ben-Arieh, A. (1999). Monitoring and measuring child well-being: The international project. Washington, DC: Child Trends.

    Google Scholar 

  • Ben-Arieh, A., Aber, J. L., Andrews, A. B., Goerge, R. M., Kaufman, N. H., & Lee, B. J. (Eds.). (2001). Measuring and monitoring children’s well-being. Norwell, MA: Kluwer.

  • Billings, A. G., & Moos, R. H. (1983). Comparisons of children of depressed and nondepressed parents: A social-environmental perspective. Journal of Abnormal Child Psychology, 11(4), 463–485.

    Article  Google Scholar 

  • Blumberg, S. J., Carle, A. C., O’Connor, K. S., Moore, K. A., & Lippman, L. H. (2008). Social competence: Development of an indicator for children and adolescents. Child Indicators Research DOI 10.1007/s12187-007-9007-x.

  • Brown, B. B., Lohr, M. J., & McClenahan, E. L. (1986). Early adolescents’ perceptions of peer pressure. Journal of Early Adolescence, 6(2), 139–154.

    Article  Google Scholar 

  • Chambers, C. T., & Johnston, C. (2002). Developmental differences in children’s use of rating scales. Journal of Pediatric Psychology, 27(1), 27–36.

    Article  Google Scholar 

  • Chen, C., & Stevenson, H. W. (1995). Motivation and mathematics achievement: A comparative study of Asian-American, Caucasian-American, and East Asian high school students motivation and mathematics achievement. Child Development, 66(4), 1215–1234.

    Article  Google Scholar 

  • Child and Adolescent Health Measurement Initiative. (2005). National survey of children’s health. Retrieved April 13, 2007 from www.nschdata.org

  • Collins, W. A. (1984). Development during middle childhood: The years from six to twelve. Washington, DC: National Academies Press.

    Google Scholar 

  • Collins, W. A., Maccoby, E. E., & Steinberg, L. (2000). Contemporary research on parenting: the case for nature and nurture. American Psychologist, 55(2), 218–232.

    Article  Google Scholar 

  • Colman, R. A., Hardy, S. A., Albert, M., Raffaelli, M., & Crockett, L. (2006). Early predictors of self-regulation in middle childhood. Infant & Child Development, 15(4), 421–437.

    Article  Google Scholar 

  • Cummings, E. M., & Davies, P. T. (1994). Maternal depression and child development. Journal of Child Psychology & Psychiatry & Allied Disciplines, 35(1), 73–112.

    Article  Google Scholar 

  • Department of Health and Human Services, & Centers for Disease Control and Prevention. (2006). About BMI for children. Retrieved from http://www.cdc.gov/nccdphp/dna/bmi/childrens_BMI/about_childrens_BMI.htm

  • Dietz, W. H. (1998). Health consequences of obesity in youth: Childhood predictors of adult disease. Pediatrics, 101(3), 518–525.

    Google Scholar 

  • Downey, G., & Coyne, J. C. (1990). Children of depressed parents: an integrative review. Psychological Bulletin, 108, 50–76.

    Article  Google Scholar 

  • Durlak, J. A., & Weissberg, R. P. (2007). The impact of after-school programs that promote personal and social skills. Chicago: Collaborative for Academic, Social, and Emotional Learning (CASEL).

    Google Scholar 

  • Eccles, J. S. (1999). The development of children ages 6 to 14. The Future of Children, 9(2), 30–44.

    Article  Google Scholar 

  • Ehrle, J., & Moore, K. A. (1999). 1997 NSAF benchmarking measures of child and family well-being: Report No. 6. Washington, DC: Urban Institute.

    Google Scholar 

  • Erikson, E. (1968). Identity, youth, and crisis. New York: Norton.

    Google Scholar 

  • Finn, J. D. (1989). Withdrawing from school. Review of Educational Research, 59(2), 117–142.

    Google Scholar 

  • Finn, J. D. (1993). School engagement and students at risk. Washington, DC: National Center for Education Statistics.

    Google Scholar 

  • Fletcher, A. C., Nickerson, P., & Wright, K. L. (2003). Structured leisure activities in middle childhood: Links to well-being. Journal of Community Psychology, 31(6), 641–659.

    Article  Google Scholar 

  • Fredricks, J. A., Blumenfeld, P., & Friedel, J. (2005). School engagement. In K. A. Moore, & L. Lippman (Eds.) What do children need to flourish? (pp. 305–321). New York: Springer Science.

    Google Scholar 

  • Goossens, L., & Beyers, W. (2002). Comparing measures of childhood loneliness: Internal consistency and confirmatory factor analysis. Journal of Clinical Child and Adolescent Psychology, 31(2), 252–262.

    Article  Google Scholar 

  • Goslin, D. A. (2003). Engaging minds: motivation & learning in America's schools. Lanham, MD: Scarecrow Education.

    Google Scholar 

  • Greenbaum, P. E., & Dedrick, R. F. (1998). Hierarchical confirmatory factor analysis of the Child Behavior Checklist/4–18. Psychological Assessment, 10(2), 149–155.

    Article  Google Scholar 

  • Hair, E. C., Jager, J., & Garrett, S. B. (2002). Background for community-level work on social competency in adolescence: reviewing the literature on contributing factors. Washington, DC: Child Trends.

    Google Scholar 

  • Hair, E. C., Moore, K. A., Garrett, S. B., Kinukawa, A., Lippman, L., & Michelsen, E. (2005). The parent–adolescent relationship scale. In K. A. Moore, & L. Lippman (Eds.) What do children need to flourish? Conceptualizing and measuring indicators (pp. 183–202). New York: Springer.

    Chapter  Google Scholar 

  • Harrington, R., Bredenkamp, D., Groothues, C., Rutter, M., Fudge, H., & Pickles, A. (1994). Adult outcomes of childhood and adolescent depression. III Links with suicidal behaviours. Journal of Child Psychology & Psychiatry & Allied Disciplines, 35(7), 1309–1319.

    Article  Google Scholar 

  • Hatcher, J., & Cochran, S. (2002). Good Health and Health Habits. In E. C. Hair, K. A. Moore, D. Hunter, & J. W. Kaye (Eds.) Clark youth outcomes compendium (pp. 104–151). Washington, DC: Edna McConnell Clark Foundation.

    Google Scholar 

  • Hauser, R. M., Brown, B. V., & Prosser, W. R. (1997). Indicators of children's well-being. New York: Sage.

    Google Scholar 

  • Hauser-Cram, P., Warfield, M. E., Stadler, J., Sirin, S. R., Huston, A. C., & Ripke, M. N. (2006). School environments and the diverging pathways of students living in poverty. In A. C. Huston, & M. N. Ripke (Eds.) Developmental contexts in middle childhood: Bridges to adolescence and adulthood (pp. 198–216). Cambridge: Cambridge University Press.

    Google Scholar 

  • Heinrich, L. M., & Gullone, E. (2006). The clinical significance of loneliness: A literature review. Clinical Psychology Review, 26(6), 695–718.

    Article  Google Scholar 

  • Hofferth, S. L., & Sandberg, J. F. (2001). How American children spent their time. Journal of Marriage and the Family, 65, 295–308.

    Google Scholar 

  • Huston, A. C., & Ripke, M. N. (2006a). Experiences in middle childhood and children’s development: A summary and integration of research. In A. C. Huston, & M. N. Ripke (Eds.) Developmental contexts in middle childhood: Bridges to adolescence and adulthood (pp. 409–434). Cambridge: Cambridge University Press.

    Google Scholar 

  • Huston, A. C., & Ripke, M. N. (Eds.). (2006b). Developmental contexts in middle childhood: bridges to adolescence and adulthood. Cambridge: Cambridge University Press.

  • Kannapel, P. J., & Clements, S. K. (2005). Inside the black box of high-performing high-poverty schools. Lexington, KY: Prichard Committee for Academic Excellence.

    Google Scholar 

  • Kerrebrock, N., & Lewit, E. M. (1999). Children in self-care. Future of Children, 9(2), 151–160.

    Article  Google Scholar 

  • Klein, D. N., Doughtery, L. R., & Olino, T. M. (2005). Toward guidelines for evidence-based assessment of depression in children and adolescents. Journal of Clinical Child and Adolescent Psychology, 34(3), 412–432.

    Article  Google Scholar 

  • Klem, A. M., & Connell, J. P. (2004). Relationships matter: Linking teacher support to student engagement and achievement. Journal of School Health, 74(7), 262–273.

    Article  Google Scholar 

  • Knowles, K. T. (1999). The effect of teacher engagement on student achievement and motivation. (NELS:88, eighth-grade, tenth-grade). ProQuest Information & Learning.

  • Lennon, M. C., Blome, J., & English, K. (2001). Depression and low-income women: Challenges for TANF and welfare-to-work policies and programs. New York: National Center for Children in Poverty.

    Google Scholar 

  • Luoma, I., Tamminen, T., & Kaukonen, P. (2001). Longitudinal study of maternal depressive symptoms and child well-being. J Am Acad Child Adolesc Psychiatry, 40(12), 1367–1374.

    Article  Google Scholar 

  • Malecki, C. K., & Elliot, S. N. (2002). Children’s social behaviors as predictors of academic achievement: A longitudinal analysis. School Psychology Quarterly, 17(1), 1–23.

    Article  Google Scholar 

  • Moore, K. A. (1997). Criteria for indicators of child well-being. In R. M. Hauser, B. V. Brown, & W. R. Prosser (Eds.) Indicators of children’s well-being (pp. 36–44). New York: Russell State Foundation.

    Google Scholar 

  • Moore, K. A., & Theokas, C. (2008). Conceptualizing a monitoring system for indicators in middle childhood. Child Indicators Research DOI 10.1007/s12187-008-9011-9.

  • Moore, K. A., Brown, B. V., & Scarupa, M. S. (2003). The uses (and misuses) of social indicators: Implications for public policy. Washington, DC: Child Trends.

    Google Scholar 

  • Moore, K. A., & Halle, T. G. (2000). Preventing Problems vs. Promoting the Positive: What do we want for our children? Washington, DC: Child Trends.

    Google Scholar 

  • Moore, M. R., & Chase-Lansdale, P. L. (2001). Sexual intercourse and pregnancy among African American girls in high-poverty neighborhoods: the role of family and perceived community environment. Journal of Marriage and Family, 63(4), 1146–1157.

    Article  Google Scholar 

  • Moore, K. A., Hair, E., Vandivere, S., McPhee, C., McNamara, M., & Ling, T. (2006). Depression among moms. Child Trends Research Brief #2006-19. pp. 1–8.

  • National Center for Health Statistics. (2006). Health, United States, 2006: With Chartbook on Trends in the Health of Americans. Hyattsville, MD.

  • National Institute for Child Health and Human Development (NICHD) Early Child Care Research Network. (2006). The relations of classroom contexts in the early elementary years to children’s classroom and social behavior. In A. C. Huston, & M. N. Ripke (Eds.) Development contexts in middle childhood (pp. 217–236). New York, NY: Cambridge University Press.

    Google Scholar 

  • National Institutes of Mental Health. (2000). Depression: NIMH Publication #00-3561.

  • National Research Council and Institute of Medicine. (2003). Engaging schools: Fostering high school students’ motivation to learn. Washington, DC: The National Academies Press.

    Google Scholar 

  • Overholser, J. C., Brinkman, D. C., & Lehnert, K. L. (1995). Children’s depression rating scale – revised: Development of a short form. Journal of Clinical Child Psychology, 24, 443–452.

    Article  Google Scholar 

  • Peterson, J. L., & Zill, N. (1986). Marital disruption, parent–child relationships, and behavior problems in children. Journal of Marriage and the Family, 48, 295–307.

    Article  Google Scholar 

  • Renshaw, P. D., & Brown, P. J. (1993). Loneliness in middle childhood: concurrent and longitudinal predictors. Child Development, 64, 1271–1284.

    Article  Google Scholar 

  • Reschly, A. L., & Christenson, S. L. (2006). Prediction of dropout among students with mild disabilities: A case for the inclusion of student engagement variables. Remedial & Special Education, 27(5), 276–292.

    Article  Google Scholar 

  • Russell, D., Peplau, L. A., & Cutrona, C. E. (1980). The revised UCLA Loneliness Scale: Concurrent and discriminant validity evidence. Journal of Personality and Social Psychology, 39(3), 472–480.

    Article  Google Scholar 

  • Russell, D., Peplau, L. A., & Ferguson, M. L. (1978). Developing a measure of loneliness. Journal of Personality Assessment, 42(3), 290.

    Article  Google Scholar 

  • Rutter, M. (1979). Protective factors in children’s responses to stress and disadvantage. In M. W. Kent, & J. Rolf (Eds.) Primary prevention of psychopathology (pp. 49–74). Hanover, NH: University Press of New England.

    Google Scholar 

  • Rychen, D. S., & Salganik, L. H. (2001). Defining and selecting key competencies. Berne: Hogrefe & Huber.

    Google Scholar 

  • Sampson, R. J., Raudenbush, S. W., & Earls, F. (1997). Neighborhood and violent crime: A multilevel study of collective efficacy. Science, 277, 918–924.

    Article  Google Scholar 

  • Scales, P. C., Benson, P. L., Bartig, K., Streit, K., Moore, K. A., Lippman, L., et al. (2006). Keeping America's promises to child and youth. Washington, DC: Search Institute & Child Trends.

    Google Scholar 

  • Scales, P. C., Sesma Jr., A., & Bolstrom, B. J. (2004). Me and my world – A Search Institute survey of developmental assets for grades 4 through 6. Minneapolis: Search Institute.

    Google Scholar 

  • Shafi, S., Gilbert, J., Loghmanee, F., Allen, J. E., Caty, M. G., Glick, P. L., et al. (1998). Impact of bicycle helmet safety legislation on children admitted to a regional pediatric trauma center. Journal of Pediatric Surgery, 33(2), 317–321.

    Article  Google Scholar 

  • Shonkoff, J. P., & Phillips, D. A. (2002). From neurons to neighborhoods: The science of early childhood development. Journal of the American Academy of Child & Adolescent Psychiatry, 41(5), 625–626.

    Article  Google Scholar 

  • Sjoberg, R. L., Nilsson, K. W., & Leppert, J. (2005). Obesity, shame, and depression in school-aged children: A population-based study [Electronic Version]. Pediatrics, 116, e389–e392. Retrieved from http://pediatrics.aappublications.org/cgi/content/abstract/116/3/e389.

  • Stewart, A. L., Hays, R. D., & Ware, J. E., Jr. (1988). The MOS short-form general health survey: Reliability and validity in a patient population. Medical Care, 26(7), 724–735.

    Google Scholar 

  • Strauss, R. S. (2000). Childhood obesity and self-esteem. Pediatrics, 105(1), 15–20.

    Article  Google Scholar 

  • Strauss, R. S., & Pollack, H. A. (2003). Social marginalization of overweight children. Pediatrics and Adolescent Medicine, 157(8), 746–752.

    Article  Google Scholar 

  • U.S. Department of Health and Human Services, Health Resources and Services Administration, & Maternal and Child Health Bureau. (2005). The national survey of children's health 2003. Rockville, MD: US Department of Health and Human Services.

    Google Scholar 

  • Vandivere, S., Tout, K., Zaslow, M., Calkins, J., & Capizzano, J. (2003). Unsupervised time: Family and child factors associated with self care. Washington, DC: The Urban Institute.

    Google Scholar 

  • Wang, G., & Dietz, W. H. (2002). Economic burden of obesity in youths aged 6 to 17 years: 1979–1999. Pediatrics, 109(5), 81–87.

    Article  Google Scholar 

  • Ware, J. E., & Sherbourne, C. D. (1992). The MOS 36-item short-form health survey (SF-36): I. Conceptual framework and item selection. Medical Care, 30(6), 473–483.

    Article  Google Scholar 

  • Weissman, M. M., Wickramaratne, P., Nomura, Y., Warner, V., Pilowsky, D., & Verdeli, H. (2006). Offspring of depressed parents: 20 years later. American Journal of Psychiatry, 163(6), 1001–1008.

    Article  Google Scholar 

  • Wentzel, K. R. (1993). Does being good make the grade? Social behavior and academic competence in middle school. Journal of Educational Psychology, 85(2), 357–364.

    Article  Google Scholar 

  • World Health Organization. (2003). Diet, nutrition and the prevention of chronic diseases. Geneva: WHO.

  • Zaff, J., Moore, K., Papillo, A. R., & Williams, S. (2003). Implications of extracurricular activity participation during adolescence on positive outcomes. Journal of Adolescent Research, 18(6), 599–630.

    Article  Google Scholar 

  • Zaff, J., & Redd, Z. (2002). Productive use of non-school time. Washington, DC: Child Trends, Produced for Edna McConnell Clark Foundation.

  • Zielewski, E. H., Malm, K., & Geen, R. (2006). Children caring for themselves and child neglect: Do they overlap? Washington, DC: The Urban Institute.

    Google Scholar 

  • Zill, N. (1990). Behavior problems index based on parent report. Washington, DC: Child Trends.

    Google Scholar 

  • Zill, N. (1999). Setting an example: The health, medical care, and health-related behavior of American parents. Washington, DC: Child Trends.

    Google Scholar 

Download references

Acknowledgements

This project was completed under Subcontract Agreement Number 388sc, for Grant Number U45 MC00023 to UCSF from the Maternal and Child Health Bureau, US Department of Health and Human Services.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Kristin Anderson Moore.

Appendix

Appendix

1.1 Data sources

The America’s Promise Survey (AP) is the Every Child, Every Promise poll developed for The National Promises Study conducted in partnership with Search Institute, Child Trends, and the Gallup Organization. More than 6,000 US-nationwide interviews where collected from three nationally represented telephone surveys: (1) more than 2,000 12- to 17-year-olds; (2) the parents of these 12- to 17-year-olds; and (3) the parents of more than 2,000 children ages 6- to 11-years-old. http://www.americaspromise.org/APA.aspx.

The Early Childhood Longitudinal Study, Kindergarten Class of 1998–99 (ECLS-K) is a nationally representative, longitudinal survey of kindergartners, teachers, and schools administrators across the USA. www.ed.gov.

The National Health Interview Survey (NHIS) is a comprehensive health survey conducted by the National Center for Health Statistics that targets households in the USA and allows for data on children and their parents. NHIS data are collected annually from approximately 43,000 households with information from about 106,000 individuals. http://www.cdc.gov/nchs/nhis.htm.

The National Longitudinal Survey of Youth, 1979 (NLSY97) has a nationally representative sample of 12,686 young men and women in the USA who were 14–22 years old at their first interview in 1979. These individuals were interviewed annually through 1994 and are currently interviewed biennially. www.dol.gov.

The National Survey of America’s Families (NSAF) is a nationally representative, cross-sectional survey of approximately 40,000 households in the United States conducted in 1997, 1999, and 2002 by the Urban Institute and Child Trends. www.urban.org.

The National Survey of Children’s Health (NSCH) is a nationally representative, cross-sectional survey conducted by the Center for Disease Control and Prevention’s (CDC) National Center for Health Statistics. A total of 102,353 interviews were completed from January 2003 to July 2004 with approximately 2,000 interviews in each of the 50 USA and the District of Columbia. www.nschdata.org/

The Panel Study of Income Dynamics (PSID), begun in 1968, is a longitudinal study conducted at the Survey Research Center, Institute for Social Research, University of Michigan. A representative sample of US individuals (men, women, and children) and the family units in which they reside is surveys on aspects of economic and demographic behavior, as well as some sociological and psychological measures. The initial sample size was 4,800 families in 1968 and has grown since then. http://psidonline.isr.umich.edu/.

The Program on International Student Assessment (PISA) is an internationally standardized assessment administered to 15-year-olds in schools in participating countries around the world. The tests are typically administered to between 4,500 and 10,000 students in each country. www.pisa.oecd.org/.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Moore, K.A., Vandivere, S., Atienza, A. et al. Developing a Monitoring System for Indicators in Middle Childhood: Identifying Measures. Child Ind Res 1, 129–155 (2008). https://doi.org/10.1007/s12187-008-9010-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12187-008-9010-x

Keywords

Navigation