Data Analysis

  • Yvette C. Latunde


This chapter starts by defining data analysis. It covers some of the issues, challenges, and considerations for the process, while providing concrete examples of how other researchers have analyzed their data. We will discuss some issues with context and biases, as well as strategies for analyzing qualitative data and determining statistical significance.


Parental Involvement Grade Point Average Qualitative Data Analysis Parental Warmth Emergent Literacy Skill 
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  1. Baran, B. (2014). What is statistical significance? Retrieved from
  2. Caesar, L. G., & Nelson, N. W. (2014). Parental involvement in language and literacy acquisition: A bilingual journaling approach. Child Language Teaching and Therapy, 30(3), 317–336.CrossRefGoogle Scholar
  3. Cheadle, J. (2007). Early literacy skills assessment psychometric report: For both English and Spanish versions. Ypsilanti, MI: High/Scope Press. Retrieved from
  4. Cook, T., Furstenberg, F. F., Eccles, J., Elder, G. H., & Sameroff, A. (1999). Successful adolescence in high risk settings: Cumulative influence of family, peer, neighborhood and school factors. In A. J. Sameroff, M. Lewis, & S. M. Miller (Eds.), Handbook of developmental psychopathology (pp. 34–43). New York, NY: Springer Science & Business Media.Google Scholar
  5. Creswell, J. (2004). Educational research: Planning, conducting, and evaluating quantitative and qualitative research (2nd ed.). Upper Saddle River, NJ: Prentice.Google Scholar
  6. Creswell, J. W. (2012). Qualitative inquiry and research design: Choosing among five approaches. Thousand Oaks, CA: Sage.Google Scholar
  7. Dubose, C., Barymon, D., Vanderford, V., Hensley, C., & Shaford, G. (2014). Radiologic science students’ perceptions of parental involvement. Radiologic Technology, 86(2), 132–143. Retrieved from
  8. Filho, D. B. F., Paranhos, R., da Rocha, E. C., Batista, M., da Silva, J.A., Santos, W.D., & Marino, J. G. (2013). The Journal of the Brazilian Political Science Association, 7(1), 1–25. Retrieved from
  9. Gerber, A., Green, D. P., & Nickerson, D. (2001). Testing for publication bias in political science. Political Analysis, 9(4), 385–392.CrossRefGoogle Scholar
  10. Gibbs, G. R., Taylor, C., & Lewins, A. (2005). Software tools. Retrieved from
  11. Hox, J., & Stoel, R. D. (2005). Multilevel and SEM approaches to growth curve modeling. In B. S. Everitt & D. C. Howell (Eds.), Encyclopedia of statistics in behavioral science (pp. 1296–1305). Hoboken, NJ: John Wiley & Sons.Google Scholar
  12. Latunde, Y., & Louque, A. C. (2012). Investing in collaboration: Preservice special educators and their readiness for home-school collaboration. Retrieved from
  13. Qualitative Data Analysis. (n.d.). Introduction to CAQDAS. Retrieved from
  14. Richards, L. (2005). Handling qualitative data: A practical guide. Thousand Oaks, CA: Sage Publications.Google Scholar
  15. Rossman, G. B., & Rallis, S. F. (2003). Learning in the field (2nd ed.). Thousand Oaks, CA: Sage Publications.Google Scholar
  16. Stake, R. E. (1995). The art of case study research. Thousand Oaks, CA: Sage.Google Scholar
  17. Wang, M., Hofkens, T., & Hill, N. (2014). Parental involvement and African American and European American adolescents’ academic, behaviors, and emotional development in secondary school. Child Development, 85(6), 2151–2168.Google Scholar

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© The Author(s) 2017

Authors and Affiliations

  • Yvette C. Latunde
    • 1
  1. 1.Teacher EducationAzusa Pacific UniversityAzusaUSA

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