References - Measuring the User Experience: Collecting, Analyzing, and Presenting Usability Metrics - page 290

Card, S. K., Moran, T. P., & Newell, A. (1983). The psychology of human-computer interaction .
London: Lawrence Erlbaum Associates.
Catani, M., & Biers, D. (1998).Usability evaluation and prototype fidelity. In Proceedings
of the human factors and ergonomic society .
Chadwick-Dias, A., McNulty, M., & Tullis, T. (2003). Web usability and age: how design
changes can improve performance. Proceedings of the 2003 ACM conference on univer-
sal usability , Vancouver, BC, Canada.
Chin, J. P., Diehl, V. A., & Norman, K. L. (1988). Development of an instrument mea-
suring user satisfaction of the human-computer interface. ACM CHI'88 proceedings ,
213-218.
Clifton, B. (2012). Advanced web metrics with Google analytics . Indianapolis, IN: Sybex.
Cockton, G., & Woolrych, A. (2001). Understanding inspection methods: lessons from
an assessment of heuristic evaluation. Joint Proceedings of HCI and IHM: people and
computers, XV.
Cox, E. P. (1980). The optimal number of response alternatives for a scale: a review.
Journal of Marketing Research , 17 (4), 407-422.
Cunningham, K. (2012). The accessibility handbook . Sebastopol, CA: O'Reilly Media.
Dennerlein, J., Becker, T., Johnson, P., Reynolds, C. J., & Picard, R. W. (2003). Frustrating
computer users increases exposure to physical factors. In Proceedings of the interna-
tional ergonomics association , August 24-29 , Seoul.
Dillman, D. A., Phelps, G., Tortora, R., Swift, K., Kohrell, J., Berck, J., et al. (2008).
Response rate and measurement differences in mixed mode surveys using mail, tele-
phone, interactive voice response, and the internet. Available at < http://www.sesrc.
wsu.edu/dillman/papers/2008/ResponseRateandMeasurement.pdf > .
Ekman, P., & Friesen, W. (1975). Unmasking the face . Englewood Cliffs, NJ: Prentice-Hall.
Everett, S. P., Byrne, M. D., & Greene, K. K. (2006). Measuring the usability of paper
ballots: efficiency, effectiveness, and satisfaction. P roceedings of the human factors
and ergonomics society 50th annual meeting . Santa Monica, CA: Human Factors and
Ergonomics Society.
Few, S. (2006). Information dashboard design: the effective visual communication of data .
Sebastopol, CA: O'Reilly Media, Inc.
Few, S. (2009). Now you see it: simple visualization techniques for quantitative analysis .
Oakland, CA: Analytics Press.
Few, S. (2012). Show me the numbers: designing tables and graphs to enlighten (2nd ed.).
Oakland, CA: Analytics Press.
Finstad, K. (2010). Response interpolation and scale sensitivity: evidence against 5-point
scales. Journal of Usability Studies , 5 (3), 104-110.
Fogg, B. J., Marshall, J., Laraki, O., Osipovich, A., Varma, C., Fang, N., et al. (2001). What
makes web sites credible? a report on a large quantitative study. Proceedings of CHI'01,
human factors in computing systems , 61-68.
Foraker. (2010). Usability ROI case study: breastcancer.org discussion forums. Retrieved
4/18/2013 from < http://www.usabilityfirst.com/documents/U1st_BCO_CaseStudy.
pdf >.
Foresee. (2012). ACSI e-government satisfaction index (Q4 2012). < http://www.forese-
eresults.com/research-white-papers/_downloads/acsi-egov-q4-2012-foresee.pdf >.
Friedman, H. H., & Friedman, L. W. (1986). On the danger of using too few points in a
rating scale: a test of validity. Journal of Data Collection , 26 (2), 60-63.
Garland, R. (1991). The mid-point on a rating scale: is it desirable? Marketing Bulletin (2),
66-70. Research Note 3.