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Research Article

Undergraduate Students’ Attitudes toward Statistics: How Excel Makes a Student’s Life Easier

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References

  • American Statistical Association. (2005). Guidelines for assessment and instruction in statistics education. http://www.amstat.org/education/gaise/GAISECollege.htm
  • Askeland, G. A. (2003). Reality-play–experiential learning in social work training. Social Work Education, 22(4), 351–362. https://doi.org/10.1080/02615470309145
  • Baglin, J., Bedford, A., & Bulmer, M. (2013). Students’ experiences and perceptions of using a virtual environment for project-based assessment in an online introductory statistics course. Technology Innovations in Statistics Education, 7(2). https://escholarship.org/uc/item/137120mt
  • Bayer, T. J. (2016). Effects of guided project-based learning activities on students’ attitudes toward statistics in an introductory statistics course. [ Doctoral dissertation, STEM and Professional Studies, Old Dominion University], https://doi.org/10.25777/9g35-yy29
  • Calderwood, K. A. (2012). Teaching inferential statistics to social work students: A decision-making flow chart. Journal of Teaching in Social Work, 32(2), 133–147. https://doi.org/10.1080/08841233.2012.670065
  • Carlson, K. A., & Winquist, J. R. (2011). Evaluating an active learning approach to teaching introductory statistics: A classroom workbook approach. Journal of Statistics Education, 19(1), 1–22. https://doi.org/10.1080/10691898.2011.11889596
  • Carter, J. (2012). How OERs can help a strategically important and vulnerable subject area-quantitative social science. Journal of Interactive Media in Education 2012 2 ,(2). https://doi.org/10.5334/2012-16
  • Carter, J., & Nicholson, J. (Eds.). (2016). Teaching statistical literacy by getting students to use real world data: 40 years worth of experience in 40 minutes. The International Association of Statistics Education. http://www.un.org/sustainabledevelopment/sustainable-development-goals/
  • Cheung, M., & Delavega, E. (2014). Five-way experiential learning model for social work education. Social Work Education, 33(8), 1070–1087. https://doi.org/10.1080/02615479.2014.925538
  • Council on Social Work Education (2022). Educational policy and accreditation standards for baccalaureate and master’s social work programs. https://www.cswe.org/Accreditation/Information/2022-EPAS/Draft-2-of-2022-EPAS
  • Dauphinee, T. L., Schau, C., & Stevens, J. J. (1997). Survey of attitudes toward statistics: Factor structure and factorial invariance for women and men. Structural Equation Modeling: A Multidisciplinary Journal, 4(2), 129–141. https://doi.org/10.1080/10705519709540066
  • Dewy, J. (1938). Experience and education by John Dewey: The Kappa Delta Pi Lecture Series. Simon & Schuster.
  • Elliott, W., Choi, E., & Friedline, T. (2013). Online statistics labs in MSW research methods courses: Reducing reluctance toward statistics. Journal of Social Work Education, 49(1), 81–95. https://doi.org/10.1080/10437797.2013.755095
  • Frank, J. M., Granruth, L. B., Girvin, H., & VanBuskirk, A. (2020). Bridging the gap together: Utilizing experiential pedagogy to teach poverty and empathy. Journal of Social Work Education, 56(4), 779–792. https://doi.org/10.1080/10437797.2019.1661904
  • Hakeem, S. A. (2001). Effect of experiential learning in business statistics. Journal of Education for Business, 77(2), 95–98. https://doi.org/10.1080/08832320109599056
  • Hitchcock, L. I., Sage, T., Lynch, M., & Sage, M. (2021). Podcasting as a pedagogical tool for experiential learning in social work education. Journal of Teaching in Social Work, 41(2), 172–191. https://doi.org/10.1080/08841233.2021.1897923
  • Huerta-Wong, J. E., & Schoech, R. (2010). Experiential learning and learning environments: The case of active listening skills. Journal of Social Work Education, 46(1), 85–101. https://doi.org/10.5175/JSWE.2010.200800105
  • Kolb, A. Y., & Kolb, D. A. (2006). Learning styles and learning spaces: A review of the multidisciplinary application of experiential learning theory in higher education Sims, R. P.,, and Sims, S. J. In Learning styles and learning: A key to meeting the accountability demands in education (pp. 45–91). Nova Science Publishers.
  • Kolb, D. A. (1984). Experiential learning: Experience as the source of learning and development. Prentice Hall.
  • Lalayants, M. (2012). Overcoming graduate students’ negative perceptions of statistics. Journal of Teaching in Social Work, 32(4), 356–375. https://doi.org/10.1080/08841233.2012.705259
  • Marson, S. M. (2007). Three empirical strategies for teaching statistics. Journal of Teaching in Social Work, 27(3–4), 199–213. https://doi.org/10.1300/J067v27n03_13
  • Massey, M. G., Kim, S. H., & Mitchell, C. (2011). A study of the learning styles of undergraduate social work students. Journal of Evidence-based Social Work, 8(3), 294–303. https://doi.org/10.1080/15433714.2011.557977
  • Perron, B. E., Victor, B. G., Hiltz, B. S., & Ryan, J. (2020). Teaching note—Data science in the MSW curriculum: Innovating training in statistics and research methods. Journal of Social Work Education. Advance online publication. https://doi.org/10.1080/10437797.2020.176489
  • Sanchez, N., Norka, A., Corbin, M., & Peters, C. (2019). Use of experiential learning, reflective writing, and metacognition to develop cultural humility among undergraduate students. Journal of Social Work Education, 55(1), 75–88. https://doi.org/10.1080/10437797.2018.1498418
  • Taylor, P., & Cheung, M. (2010). Integration of Personal/Professional Self (IPPS) through reflective/experiential learning. Journal of Teaching in Social Work, 30 (2) , 159–174 . https://doi.org/10.1080/08841231003705248
  • Teater, B., Roy, J., Carpenter, J., Forrester, D., Devaney, J., & Scourfield, J. (2017). Making social work count: A curriculum innovation to teach quantitative research methods and statistical analysis to undergraduate social work students in the United Kingdom. Journal of Teaching in Social Work, 37(5), 422–437. https://doi.org/10.1080/08841233.2017.1381216
  • Tsao, Y. (2006). Teaching statistics with constructivist-based learning method to describe student attitudes toward statistics. Journal of College Teaching and Learning, 3(4), 59–64. https://doi.org/10.19030/tlc.v3i4.1728
  • Waring, M. K. (2021). Teaching note—The Stats requirement: Statistical thinking as social work. Journal of Social Work Education, 57(1), 205–210. https://doi.org/10.1080/10437797.2019.1662864
  • Zimprich, D. (2012). Attitudes toward statistics among Swiss psychology students. Swiss Journal of Psychology, 71(3), 149. https://doi.org/10.1024/1421-0185/a000082

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