Anderson, A., Basilevsky, A., and Hum, D.
1983. Missing data: A review of the literature. In Handboook of survey research, eds. Rossi, P. H., Wright, J. D., and Anderson, A. B., 415–81. New York: Academic Press.
Bafumi, J., Gelman, A., Park, D. K., and Kaplan, N.
2005. Practical issues in implementing and understanding Bayesian ideal point estimation. Political Analysis
13(2): 171–87.
Bafumi, J., and Herron, M. C.
2010. Leapfrog representation and extremism: A study of American voters and their members in Congress. American Political Science Review
104(3): 519–42.
Bailey, M. A.
2007. Comparable preference estimates across time and institutions for the court, Congress, and presidency. American Journal of Political Science
51(3): 433–48.
Baker, F. B., and Kim, S.-H.
2004. Item response theory: Parameter estimation techniques. New York: Marcel Dekker.
Barabas, J.
2002. Another look at the measurement of political knowledge. Political Analysis
10(2): 209–22.
Berinsky, A. J., Huber, G. A., and Lenz, G. S.
2012. Evaluating online labor markets for experimental research: Amazon.com's Mechanical Turk. Political Analysis
20(3): 329–50.
Brewer, P. R.
2003. Values, political knowledge, and public opinion about gay rights. Public Opinion Quarterly
67(3): 173–201.
Burchell, B., and Marsh, C.
1992. The effect of questionnaire length on survey response. Quality & Quantity
26(3): 233–44.
Cacioppo, J. T., and Petty, R. E.
1984. The efficient assessment of need for cognition. Journal of Personality Assessment
48(3): 306–7.
Choi, S. W., and Swartz, R. J.
2009. Comparison of CAT item selection criteria for polytomous items. Applied Psychological Measurement
33(6): 419–40.
Clinton, J. D., and Meirowitz, A.
2001. Agenda constrained legislator ideal points and the spatial voting model. Political Analysis
9(3): 242–59.
Clinton, J. D., and Meirowitz, A.
2003. Integrating voting theory and roll call analysis: A framework. Political Analysis
11(4): 381–96.
Clinton, J., Jackman, S., and Rivers, D.
2004. The statistical analysis of roll call voting: A unified approach. American Political Science Review
98(2): 355–70.
Crawford, S. D., Couper, M. P., and Lamias, M. J.
2001. Web surveys: Perceptions of burden. Social Science Computer Review
19(2): 146–62.
DeBell, M.
2012. Harder than it looks: Coding political knowledge on the ANES. Paper presented at the 2012 meeting of the Midwest Political Science Association, Chicago, IL.
Delli Carpini, M. X., and Keeter, S.
1993. Measuring political knowledge: Putting first things first. American Journal of Political Science
37(4): 1179–206.
Delli Carpini, M. X., and Keeter, S.
1996. What Americans know about politics and why it matters. New Haven, CT: Yale University Press.
Dodd, B. G., De Ayala, R., and Koch, W. R.
1995. Computerized adaptive testing with polytomous items. Applied Psychological Measurement
19(1): 5–22.
Embretson, S. E., and Reise, S. P.
2000. Item response theory for psychologists. Mahwah, NJ: Lawrence Erlbaum.
Feldman, S., and Huddy, L.
2005. Racial resentment and white opposition to race-conscious programs: Principles or prejudice?
American Journal of Political Science
49(1): 168–83.
Forbey, J. D., and Ben-Porath, Y. S.
2007. Computerized adaptive personality testing: A review and illustration with the MMPI-2 computerized adaptive version. Psychological Assessment
19(1): 14–24.
Galesic, M., and Bosnjak, M.
2009. Effects of questionnaire length on participation and indicators of response quality in Web surveys. Public Opinion Quarterly
73(2): 349–60.
Gerber, A. S., Huber, G. A., Doherty, D., Dowling, C. M., and Ha, S. E.
2010. Personality and political attitudes: Relationships across issue domains and political contexts. American Political Science Review
104(01): 111–33.
Gibson, J. L., and Caldeira, G. A.
2009. Knowing the Supreme Court? A reconsideration of public ignorance of the high court. Journal of Politics
71(2): 429–41.
Gillion, D. Q.
2012. Re-defining political participation through item response theory. Unpublished paper.
Gomez, B. T., and Wilson, J. M.
2001. Political sophistication and economic voting in the American electorate: A theory of heterogeneous attribution. American Journal of Political Science
45(4): 899–914.
Gosling, S. D., Rentfrow, P. J., and Swann, W. B.
2003. A very brief measure of the big-five personality domains. Journal of Research in Personality
37(6): 504–28.
Heberlein, T. A., and Baumgartner, R.
1978. Factors affecting response rates to mailed questionnaires: A quantitative analysis of the published literature. American Sociological Review
43(4): 447–62.
Herzog, A. R., and Bachman, J. G.
1981. Effects of questionnaire length on response quality. Public Opinion Quarterly
45(4): 549–59.
Hol, A. M., Vorst, H. C., and Mellenbergh, G. J.
2007. Computerized adaptive testing for polytomous motivation items: Administration mode effects and a comparison with short forms. Applied Psychological Measurement
31(5): 412–29.
Jackman, S.
2001. Multidimensional analysis of roll call data via Bayesian simulation: Identification, estimation, inference, and model checking. Political Analysis
9(3): 227–41.
Kingsbury, G., and Weiss, D. J.
1983. A comparison of IRT-based adaptive mastery testing and a sequential mastery testing procedure. In New horizons in testing: Latent trait test theory and computerized adaptive testing, ed. Weiss, D. J.
New York: Academic Press.
Krosnick, J. A.
1991. Response strategies for coping with the cognitive demands of attitude measures in surveys. Applied Cognitive Psychology
5(3): 213–36.
Krosnick, J. A.
1999. Survey research. Annual Review of Psychology
50: 537–67.
Krosnick, J. A., Holbrook, A. L., Berent, M. K., Carson, R. A. B. T., Hanemann, W., Kopp, R. J., Mitchell, C., Cameron, R., Presser, S., Ruud, P. A., Smith, V., Moody, W. R., Green, M. C., and Conaway, M.
2002. The impact of “no opinion“ response options on data quality: Non-attitude reduction or an invitation to satisfice?
Public Opinion Quarterly
66(3): 371–403.
Lord, F. M.
1980. Applications of item response theory to practical testing problems. Hillsdale, NJ: L. Erlbaum Associates.
Lord, F., and Novick, M. R.
1968. Statistical theories of mental test scores. Reading, MA: Addison-Wesley.
Lupia, A.
2006. How elitism undermines the study of voter competence. Critical Review
18 (1–3): 217–32.
Lupia, A.
2008. Procedural transparency and the credibility of election surveys. Electoral Studies
27(4): 732–9.
Luskin, R. C.
1987. Measuring political sophistication. American Journal of Political Science
31(4): 856–99.
Luskin, R. C., and Bullock, J. G.
2011. “Don't know” means “don't know”: DK responses and the public's level of political knowledge. Journal of Politics
73(2): 547–57.
Martin, A. D., and Quinn, K. M.
2002. Dynamic ideal point estimation via Markov chain Monte Carlo for the US Supreme Court, 1953–1999. Political Analysis
10(2): 134–53.
Matthews, R. A., Kath, L. M., and Barnes-Farrell, J. L.
2010. A short, valid, predictive measure of work-family conflict: Item selection and scale validation. Journal of Occupational Health Psychology
15(1): 75–90.
Mondak, J. J., and Anderson, M. R.
2004. The knowledge gap: A reexamination of gender-based differences in political knowledge. Journal of Politics
66(2): 492–512.
Mondak, J. J., and Davis, B. C.
2001. Asked and answered: Knowledge levels when we will not take “don't know” for an answer. Political Behavior
23(3): 199–224.
Mondak, J. J.
2001. Developing valid knowledge scales. American Journal of Political Science
45(1): 224–38.
Montgomery, J. M., and Cutler, J.
2012. Replication data for: Computerized adaptive testing for public opinion surveys. http://hdl.handle.net/1902.1/19381 IQSS Dataverse Network.
Piazza, T., Sniderman, P. M., and Tetlock, P. E.
1989. Analysis of the dynamics of political reasoning: A general-purpose computer-assisted methodology. Political Analysis
1(1): 99–119.
Podsakoff, P. M., and MacKenzie, S. B.
1994. An examination of the psychometric properties and nomological validity of some revised and reduced substitutes for leadership scales. Journal of Applied Psychology
79(5): 702–13.
Poole, K. T.
2005. Spatial models of parliamentary voting. New York: Cambridge University Press.
Prior, M., and Lupia, A.
2008. Money, time, and political knowledge: Distinguishing quick recall and political learning skills. American Journal of Political Science
52(1): 19–183.
Prior, M.
2012. Visual political knowledge: A different road to competence. Unpublished paper.
Richins, M. L.
2004. The material values scale: Measurement properties and development of a short form. Journal of Consumer Research
31(1): 209–19.
Russell, S. S., Spitzmüller, C., Lin, L. F., Stanton, J. M., Smith, P. C., and Ironson, G. H.
2004. Shorter can also be better: The abridged job in general scale. Educational and Psychological Measurement
64(5): 878–93.
Segall, D. O.
2002. Confirmatory item factor analysis using Markov chain Monte Carlo estimation with applications to online calibration in CAT. Paper presented at the annual meeting of the National Council on Measurement in Education, New Orleans, LA.
Segall, D. O.
2005. Computerized adaptive testing. In Encyclopedia of social measurement, ed. Kempf-Leonard, K., Vol. 1, 429–38. Oxford, UK: Elsevier.
Segall, D. O.
2010. Principles of multidemensional adaptive testing. In Elements of adaptive testing, eds. van der Linden, W. J. and Glas, C. A. W., 57–76. New York: Springer.
Sheatsley, P.
1983. Questionnaire construction and item writing. In Handboook of survey research, eds. Rossi, P. H., Wright, J. D., and Anderson, A. B., 195–230. New York: Academic Press.
Singh, J., Howell, R. D., and Rhoads, G. K.
2007. Designs for Likert-type data: An approach for implementing marketing surveys. Journal of Marketing Research
19(1): 12–24.
Sniderman, P. M., Brody, R. A., and Tetlock, P. E.
1991. Reasoning and choice: Explorations in political psychology. New York: Cambridge University Press.
Sniderman, P. M., Piazza, T., Tetlock, P. E., and Kendrick, A.
1991. The new racism. American Journal of Political Science
35(2): 423–47.
Stanton, J. M., Sinar, E. F., Balzer, W. K., and Smith, P. C.
2002. Issues and strategies for reducing the length of self-report scales. Personnel Psychology
55(1): 167–94.
Thompson, E. R.
2012. A brief index of affective job satisfaction. Group & Organization Management
37(3): 275–307.
Treier, S., and Hillygus, D. S.
2009. The nature of political ideology in the contemporary electorate. Public Opinion Quarterly
73(4): 679–703.
Treier, S., and Jackman, S.
2008. Democracy as a latent variable. American Journal of Political Science
52(1): 201–17.
van der Linden, W. J.
1998. Bayesian item selection criteria for adaptive testing. Psychometrika
63(2): 201–16.
van der Linden, W. J.
1999. Empirical initialization of the trait estimator in adaptive testing. Applied Psychological Measurement
23(1): 21–29.
van der Linden, W. J.
2008. Using response times for item selection in adaptive testing. Journal of Educational and Behavioral Statistics
33(1): 5–20.
van der Linden, W. J.
2010. Constrained adaptive testing with shadow tests. In Elements of adaptive testing, eds. van der Linden, W. J. and Glas, C. A. W., 31–56. New York: Springer.
van der Linden, W. J., and Pashley, P. J.
2010. Elements of adaptive testing. New York: Springer.
Verba, S., Schlozman, K. L., and Brady, H. E.
1995. Voice and equality: Civic voluntarism in American politics. Cambridge, MA: Harvard University Press.
Wainer, H.
1990. Introduction and history. In Computerized Adaptive Testing: A Primer, ed. Wainer, H.
Hillsdale, NJ: Lawrence Erlbaum Associates.
Waller, N. G., and Reise, S. P.
1989. Computerized adaptive personality assessment: An illustration with the absorption scale. Journal of Personality and Social Psychology
57(6): 1051.
Weiss, D. J.
1982. Improving measurement quality and efficiency with adaptive testing. Applied Psychological Measurement
6(4): 473–92.
Weiss, D. J., and Kingsbury, G. G.
1984. Application of computerized adaptive testing to educational problems. Journal of Educational Measurement
21(4): 361–75.
Xu, X., and Douglas, J.
2006. Computerized adaptive testing under nonparamteric IRT models. Psychometrika
71(1): 121–37.
Yammarino, F. J., Skinner, S. J., and Childers, T. L.
1991. Understanding mail survey response behavior: A meta-analysis. Public Opinion Quarterly
55(4): 613–639.
Zaller, J. R.
1992. The nature and origins of mass opinion. New York: Cambridge University Press.
