Investigating faculty familiarity with assessment terminology by applying cluster analysis to interpret survey data

Journal of Chemical Education

Volumn 91, Issue 8, 2014, Pages 1145-1151

  Raker, Jeffrey R ^a   Holme, Thomas A ^b  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

^b IOWA STATE UNIVERSITY   (United States)

Author keywords

Chemical Education Research; First Year Undergraduate General; Interdisciplinary Multidisciplinary; Professional Development; Testing Assessment

Indexed keywords

EID: 84906070211     PISSN: 00219584     EISSN: 19381328     Source Type: Journal    
DOI: 10.1021/ed500075e     Document Type: Article

References (24)

1. Bretz, S. L. Navigating the landscape of assessment J. Chem. Educ. 2012, 89, 689
2. Towns, M. H. Developing learning objectives and assessment plans at a variety of institutions: Examples and case studies J. Chem. Educ. 2010, 87, 91
3. Pienta, N. Striking a balance with assessment J. Chem. Educ. 2011, 88, 1199
4. Green, D. A. Words fail us: How academics view language and ideas in higher education research Int. J. Acad. Dev. 2010, 15, 47
5. Haviland, D.; Shin, S.; Turley, S. Now I'm ready: The impact of a professional development intiative on faculty concerns with program assessment Innovative Higher Educ. 2010, 35, 261
6. Scaife, J.; Wellington, J. Varying perspectives and practices in formative and diagnostic assessment: A case study J. Educ. Teaching 2010, 36, 137
7. ScienceGeek.net Education Jargon Generator. http://www.sciencegeek.net/ lingo.html (accessed May 2014).
8. Novak, J. D. A Theory of Education; Cornell University: Ithaca, NY, 1977.
9. Emenike, M.; Schroeder, J. D.; Murphy, K.; Holme, T. Results from a national needs assessment survey: A snapshot of assessment efforts within chemistry faculty departments J. Chem. Educ. 2013, 90, 561
10. Emenike, M. E.; Raker, J. R.; Holme, T. A. Validating chemsitry faculty members' self-reported familiarity with assessment terminology J. Chem. Educ. 2013, 90, 1130
11. Raker, J. R.; Emenike, M. E.; Murphy, K. L.; Holme, T. A. Using structural equation modeling to understand chemistry faculty familiarity of assessment terminology: Results from a national survey J. Chem. Educ. 2013, 90, 981
12. StataCorp Stata statistical software, Release 12; StataCorp LP: College Station, TX, 2011.
13. Everitt, B. S.; Landau, S.; Leese, M.; Stahl, D. Cluster Analysis, 5 th ed.; Wiley: Chichester, UK, 2011.
14. Auf der Heyde, T. P. E. Analyzing chemical data in more than two dimensions: A tutorial on factor and cluster analysis J. Chem. Educ. 1990, 67, 461
15. Kumar, V. An introduction to cluster analysis for data mining. http://www-users.cs.umn.edu/∼han/dmclass (accessed May 2014).
16. Gower, J. C.; Legendre, P. Metric and Euclidean properties of dissimilarity coefficients Journal Classif. 1986, 5, 5
17. StataCorp Stata multivariate statistics reference manual, Release 13; StataCorp LP: College Station, TX, 2013.
18. Gower, J. C. A general coefficient of similarity and some of its properties Biometrics 1971, 27, 857
19. Ward, J. H. Hierarchical groupings to optimize an objective function J. Am. Stat. Assoc. 1963, 58, 236
20. StataCorp Stata statistical software, Release 13; StataCorp LP: College Station, TX, 2013.
21. Duda, R. O.; Hart, P. E. Pattern classification and scene analysis; John Wiley & Sons, Inc.: New York, NY, 1973.
22. Kruskal, W. H.; Wallis, W. A. Use of ranks in one-criterion variance analysis J. Am. Stat. Assoc. 1952, 47, 583
23. Mann, H. B.; Whitney, D. R. On a test of whether one of two random variables is stochasitically larger than the other Ann. Math. Stat. 1947, 18, 50
24. Mathieu, R. D. Preparing the Future STEM Faculty: The Center for the Integration of Research, Teaching, and Learning. In Trajectories of Chemistry Education Innovation and Reform; Holme, T. A.; Cooper, M. M.; Varma-Nelson, P., Eds.; ACS Symposium Series 1145; American Chemical Society: Washington, DC, 2013; pp 185-196.