Complexity of quantitative analyses used in mixed research articles published in a flagship mathematics education journal

International Journal of Multiple Research Approaches

Volumn 8, Issue 1, 2014, Pages 63-73

  Ross, Amanda ^a   Onwuegbuzie, Anthony J ^b  

^a A A Ross Consulting and Research   (United States)

^b SAM HOUSTON STATE UNIVERSITY   (United States)

Author keywords

Complexity; Extent; Mathematics education research; Mixed methods research; Quantitative analyses

Indexed keywords

EID: 84906824036     PISSN: 18340806     EISSN: 18340814     Source Type: Journal    
DOI: 10.5172/mra.2014.8.1.63     Document Type: Article

References (19)

1. Alise, M. A., & Teddlie, C. (2010). A continuation of the paradigm wars? Prevalence rates of methodological approaches across the social/behavioral sciences. Journal of Mixed Methods Research, 4, 103-126.
2. American Educational Research Association. (2006). Standards for reporting on empirical social science research in AERA publications. Educational Researcher, 35(6), 33-40.
3. Bazeley, P. (2010). Computer assisted integration of mixed methods data sources and analyses. In A. Tashakkori & C. Teddlie (Eds.), Handbook of mixed methods in social and behavioral research (2nd ed., pp. 431-467.). Thousand Oaks, CA: Sage.
4. Collins, K. M. T., Onwuegbuzie, A. J., & Jiao, Q. G. (2007). A mixed methods investigation of mixed methods sampling designs in social and health science research. Journal of Mixed Methods Research, 1, 267-294.
5. Greene, J. C. (2008). Is mixed methods social inquiry a distinctive methodology? Journal of Mixed Methods Research, 2, 7-22.
6. Hart, L. C., Smith, S. Z., Swars, S. L., & Smith, M. E. (2009). An examination of research methods in mathematics education. Journal of Mixed Methods Research, 3, 26-41.
7. Henson, R. K. (2000). Demystifying parametric analyses:Illustrating canonical correlation as the multivariate general linear model. Multiple Linear Regression Viewpoints, 26, 11-19.
8. Ivankova, N. V., & Kawamura, Y. (2010). Emerging trends in the utilization of integrated designs in the social, behavioral, and health sciences. In A. Tashakkori & C. Teddlie (Eds.), Sage handbook of mixed methods in social and behavioral research (2nd ed., pp. 581-611.). Thousand Oaks, CA: Sage.
9. Johnson, R. B., & Onwuegbuzie, A. J. (2004). Mixed methods research: A research paradigm whose time has come. Educational Researcher, 33(7), 14-26.
10. Knigge, L., & Cope, M. (2006). Grounded visualization:Integrating the analysis of qualitative and quantitative data through grounded theory and visualization. Environment and Planning A, 38, 2021-2037.
11. Onwuegbuzie, A. J., & Combs, J. P. (2010). Emergent data analysis techniques in mixed methods research: A synthesis. In A. Tashakkori & C. Teddlie (Eds.), Handbook of mixed methods in social and behavioral research (2nd ed., pp. 397-430.). Thousand Oaks, CA: Sage.
12. Onwuegbuzie, A. J., Johnson, R. B., & Collins, K. M. T. (2009). A call for mixed analysis: A philosophical framework for combining qualitative and quantitative. International Journal of Multiple Research Methods, 3(2), 114-139. doi:10.5172/mra.3.2.114
13. Onwuegbuzie, A. J., Leech, N. L., & Collins, K. M. T. (2011). Toward a new era for conducting mixed analyses: The role of quantitative dominant and qualitative dominant crossover mixed analyses. In M. Williams & W. P. Vogt (Eds.), The Sage handbook of innovation in social research methods (pp. 353-384.). Thousand Oaks, CA: Sage.
14. Onwuegbuzie, A. J., & Daniel, L. G. (2003, February 12). Typology of analytical and interpretational errors in quantitative and qualitative educational research [online]. Current Issues in Education, 6(2). Retrieved from http://cie.asu.edu/volume6/number2/index.html
15. Ross, A., & Onwuegbuzie, A. J. (2010). Mixed methods research design: A comparison of prevalence in JRME and AERJ. International Journal of Multiple Research Approaches, 4(3), 233-245. doi:10.5172/mra.2010.4.3.233
16. Ross, A., & Onwuegbuzie, A. J. (2012). Prevalence of mixed methods research in mathematics education. The Mathematics Educator, 22(1), 84-113.
17. Ross, A., & Onwuegbuzie, A. J. (2014). A typology of quantitative analyses (Unpublished manuscript). Sam Houston State University, Huntsville, TX.
18. Thompson, B. (1995). Stepwise regression and stepwise discriminant analysis need not apply here: A guidelines editorial. Educational and Psychological Measurement, 55, 525-534.
19. Thompson, B. (1998, April). Five methodological errors in educational research: The pantheon of statistical significance and other faux pas. Paper presented at the annual meeting of the American Educational Research Association, San Diego, CA.