Cogitations on Power and Consequences of Measurement

References

• American Educational Research Association, American Psychological Association, and National Council on Measurement in Education. (2014). Standards for educational and psychological testing. Washington, DC: AERA.
   Google Scholar
• Andrich, D. (1989). Distinctions between assumptions and requirements in measurement in the social sciences. In J. A. Keats, R. Taft, R. A. Heath, & S. H. Lovibond (Eds.), Mathematical and theoretical systems (pp. 7–16). North Holland, The Netherlands: Elsevier Science.
   Google Scholar
• Behizadeh, N. (2014). Mitigating the dangers of a single story: Creating large-scale writing assessments aligned with sociocultural theory. Educational Researcher, 43(3), 125–136. doi:10.3102/0013189X14529604
   Web of Science ®Google Scholar
• Behizadeh, N., & Engelhard, G. (2014). Development and validation of a scale to measure perceived authenticity in writing. Assessing Writing, 21, 18–36. doi:10.1016/j.asw.2014.02.001
   Web of Science ®Google Scholar
• Behizadeh, N., & Engelhard, G. (2015). Involving diverse communities of practice to minimize unintended consequences of test-based accountability systems. Measurement: Interdisciplinary Research and Perspectives, 13, 26–30.
   Web of Science ®Google Scholar
• Behizadeh, N., & Lynch, T. L. (in press). Righting technologies: How large-scale assessments can foster a more equitable education system through negotiated control. Berkeley Review of Education.
   Google Scholar
• Bloom, B. S. (1970). Toward a theory of testing which includes measurement-evaluation-assessment. In M. C. Wittrock & D. Wiley (Eds.), Evaluation of instruction: Issues and practices (pp. 25–50). New York, NY: Holt, Rhinehart and Winston.
   Google Scholar
• Campbell, D. T. (1976). Assessing the impact of planned social change. Evaluation and Program Planning, 2(1), 67–90. doi:10.1016/0149-7189(79)90048-X
   Google Scholar
• Engelhard, G. (2013). Invariant measurement: Using Rasch models in the social, behavioral, and health sciences. New York, NY: Routledge.
   Google Scholar
• Engelhard, G., Engelhard, E., & Rabbitt, M. P. (2016). Measurement of household food insecurity: Two decades of invariant measurement. Rasch Measurement Transactions, 30(3), 1598–1599.
   Google Scholar
• Giordano, S. (2017). Feminists increasing public understandings of science: A feminist approach to developing critical science literacy skills. Frontiers: A Journal of Women Studies, 38(1), 100–123. doi:10.5250/fronjwomestud.38.1.0100
   Web of Science ®Google Scholar
• Haertel, E. H., Moss, P. A., Pullin, D. C., & Gee, J. P. (2008). Introduction. In P. A. Moss, D. C. Pullin, J. P. Gee, E. H. Haertel, & L. J. Young (Eds.), Assessment, equity, and opportunity to learn (pp. 1–16). Cambridge, UK: Cambridge University Press.
   Google Scholar
• Hand, D. J. (2016). Measurement: A very short introduction. Oxford, UK: Oxford University Press.
   Google Scholar
• Jewett, A. (2017, April). How the march for science misunderstands politics. Retrieved from https://www.theatlantic.com/politics/archive/2017/04/march-for-science/523803/
   Google Scholar
• Jordan, W. (2010). Defining equity: Multiple perspectives to analyzing the performance of diverse learners. Review of Research in Education, 34, 142–178. doi:10.3102/0091732X09352898
   Web of Science ®Google Scholar
• Messick, S. (1995). Validity of psychological assessment: Validation of inferences from persons’ responses and performances as scientific inquiry into score meaning. American Psychologist, 50(9), 741–749.
   Web of Science ®Google Scholar
• Mintrop, H., & Sunderman, G. L. (2009). Predictable failure of federal sanctions-driven accountability for school improvement: And why we may retain it anyway. Educational Researcher, 38(5), 353–364. doi:10.3102/0013189X09339055
   Web of Science ®Google Scholar
• Oxford University Press. (2017). Very short introductions (homepage). Retrieved from https://global.oup.com/academic/content/series/v/very-short-introductions-vsi/?cc=us&lang=en&)
   Google Scholar
• Porter, T. M. (1995). Trust in numbers: The pursuit of objectivity in science and public life. Princeton, NJ: Princeton University Press.
   Google Scholar
• Rasch. (1960/1980). Probabilistic models for some intelligence and attainment tests. Copenhagen: Danish Institute for Educational Research. (Expanded ed., Chicago, IL: University of Chicago Press, 1980).
   Google Scholar
• Stevens, S.S. (1946). On the theory of scales of measurement. Science 103 (2684), 677–680.
   Google Scholar
• Van der Linden, W. J. (Ed.). (2016). Handbook of item response theory. Boca Raton, FL: CRC Press.
   Google Scholar
• Wenger, E. (1998). Communities of practice: Learning, meaning, and identity. Cambridge, UK: Cambridge University Press.
   Google Scholar
• Wilson, M. (2005). Constructing measures: An item response modeling approach (2nd ed.). Mahwah, NJ: Erlbaum.
   Google Scholar
• Wilson, M. (2011). Some notes on the term: “Wright Map”. Rasch Measurement Transactions, 25(3), 1331.
   Google Scholar