@inbook {2064,
	title = {Detecting Person Misfit in Adaptive Testing},
	booktitle = {Elements of Adaptive Testing},
	year = {2010},
	pages = {315-329},
	chapter = {16},
	doi = {10.1007/978-0-387-85461-8},
	author = {Meijer, R. R. and van Krimpen-Stoop, E. M. L. A.}
}
@article {113,
	title = {Detection of aberrant item score patterns in computerized adaptive testing: An empirical example using the CUSUM},
	journal = {Personality and Individual Differences},
	volume = {48},
	number = {8},
	year = {2010},
	pages = {921-925},
	abstract = {The scalability of individual trait scores on a computerized adaptive test (CAT) was assessed through investigating the consistency of individual item score patterns. A sample of N = 428 persons completed a personality CAT as part of a career development procedure. To detect inconsistent item score patterns, we used a cumulative sum (CUSUM) procedure. Combined information from the CUSUM, other personality measures, and interviews showed that similar estimated trait values may have a different interpretation.Implications for computer-based assessment are discussed.},
	keywords = {CAT, computerized adaptive testing, CUSUM approach, person Fit},
	isbn = {01918869},
	author = {Egberink, I. J. L. and Meijer, R. R. and Veldkamp, B. P. and Schakel, L. and Smid, N. G.}
}
@article {281,
	title = {The use of person-fit statistics in computerized adaptive testing},
	year = {2005},
	month = {September, 2005},
	institution = {Law School Administration Council},
	address = {Newton, PA. USA},
	isbn = {Computerized Testing Report 97-14},
	author = {Meijer, R. R. and van Krimpen-Stoop, E. M. L. A.}
}
@article {278,
	title = {Using patterns of summed scores in paper-and-pencil tests and computer-adaptive tests to detect misfitting item score patterns},
	journal = {Journal of Educational Measurement},
	volume = {41},
	number = {2},
	year = {2004},
	pages = {119-136},
	abstract = {Two new methods have been proposed to determine unexpected sum scores on subtests (testlets) both for paper-and-pencil tests and computer adaptive tests. A method based on a conservative bound using the hypergeometric distribution, denoted ρ, was compared with a method where the probability for each score combination was calculated using a highest density region (HDR). Furthermore, these methods were compared with the standardized log-likelihood statistic with and without a correction for the estimated latent trait value (denoted as l-super(*)-sub(z) and l-sub(z), respectively). Data were simulated on the basis of the one-parameter logistic model, and both parametric and nonparametric logistic regression was used to obtain estimates of the latent trait. Results showed that it is important to take the trait level into account when comparing subtest scores. In a nonparametric item response theory (IRT) context, on adapted version of the HDR method was a powerful alterative to ρ. In a parametric IRT context, results showed that l-super(*)-sub(z) had the highest power when the data were simulated conditionally on the estimated latent trait level. (PsycINFO Database Record (c) 2005 APA ) (journal abstract)},
	keywords = {Computer Assisted Testing, Item Response Theory, person Fit, Test Scores},
	author = {Meijer, R. R.}
}
@article {411,
	title = {Detection of person misfit in computerized adaptive tests with polytomous items},
	journal = {Applied Psychological Measurement},
	volume = {26},
	number = {2},
	year = {2002},
	pages = {164-180},
	abstract = {Item scores that do not fit an assumed item response theory model may cause the latent trait value to be inaccurately estimated. For a computerized adaptive test (CAT) using dichotomous items, several person-fit statistics for detecting mis.tting item score patterns have been proposed. Both for paper-and-pencil (P\&P) tests and CATs, detection ofperson mis.t with polytomous items is hardly explored. In this study, the nominal and empirical null distributions ofthe standardized log-likelihood statistic for polytomous items are compared both for P\&P tests and CATs. Results showed that the empirical distribution of this statistic differed from the assumed standard normal distribution for both P\&P tests and CATs. Second, a new person-fit statistic based on the cumulative sum (CUSUM) procedure from statistical process control was proposed. By means ofsimulated data, critical values were determined that can be used to classify a pattern as fitting or misfitting. The effectiveness of the CUSUM to detect simulees with item preknowledge was investigated. Detection rates using the CUSUM were high for realistic numbers ofdisclosed items. },
	author = {van Krimpen-Stoop, E. M. L. A. and Meijer, R. R.}
}
@article {277,
	title = {Outlier detection in high-stakes certification testing},
	journal = {Journal of Educational Measurement},
	volume = {39},
	number = {3},
	year = {2002},
	pages = {219-233},
	abstract = {Discusses recent developments of person-fit analysis in computerized adaptive testing (CAT). Methods from statistical process control are presented that have been proposed to classify an item score pattern as fitting or misfitting the underlying item response theory model in CAT Most person-fit research in CAT is restricted to simulated data. In this study, empirical data from a certification test were used. Alternatives are discussed to generate norms so that bounds can be determined to classify an item score pattern as fitting or misfitting. Using bounds determined from a sample of a high-stakes certification test, the empirical analysis showed that different types of misfit can be distinguished Further applications using statistical process control methods to detect misfitting item score patterns are discussed. (PsycINFO Database Record (c) 2005 APA )},
	keywords = {Adaptive Testing, computerized adaptive testing, Educational Measurement, Goodness of Fit, Item Analysis (Statistical), Item Response Theory, person Fit, Statistical Estimation, Statistical Power, Test Scores},
	author = {Meijer, R. R.}
}
@article {604,
	title = {CUSUM-based person-fit statistics for adaptive testing},
	journal = {Journal of Educational and Behavioral Statistics},
	volume = {26},
	year = {2001},
	pages = {199-218},
	author = {van Krimpen-Stoop, E. M. L. A. and Meijer, R. R.}
}
@conference {1064,
	title = {Methods to test invariant ability across subgroups of items in CAT},
	booktitle = {Paper presented at the Annual Meeting of the National Council on Measurement in Education},
	year = {2001},
	address = {Seattle WA},
	author = {Meijer, R. R.}
}
@article {279,
	title = {Nouveaux d{\'e}veloppements dans le domaine du testing informatis{\'e} [New developments in the area of computerized testing]},
	journal = {Psychologie Fran{\c c}aise},
	volume = {46},
	number = {3},
	year = {2001},
	pages = {221-230},
	abstract = {L{\textquoteright}usage de l{\textquoteright}{\'e}valuation assist{\'e}e par ordinateur s{\textquoteright}est fortement d{\'e}velopp{\'e} depuis la premi{\`e}re formulation de ses principes de base dans les ann{\'e}es soixante et soixante-dix. Cet article offre une introduction aux derniers d{\'e}veloppements dans le domaine de l{\textquoteright}{\'e}valuation assist{\'e}e par ordinateur, en particulier celui du testing adaptative informatis{\'e}e (TAI). L{\textquoteright}estimation de l{\textquoteright}aptitude, la s{\'e}lection des items et le d{\'e}veloppement d{\textquoteright}une base d{\textquoteright}items dans le cas du TAI sont discut{\'e}s. De plus, des exemples d{\textquoteright}utilisations innovantes de l{\textquoteright}ordinateur dans des syst{\`e}mes int{\'e}gr{\'e}s de testing et de testing via Internet sont pr{\'e}sent{\'e}s. L{\textquoteright}article se termine par quelques illustrations de nouvelles applications du testing informatis{\'e} et des suggestions pour des recherches futures.Discusses the latest developments in computerized psychological assessment, with emphasis on computerized adaptive testing (CAT). Ability estimation, item selection, and item pool development in CAT are described. Examples of some innovative approaches to CAT are presented. (PsycINFO Database Record (c) 2005 APA )},
	keywords = {Adaptive Testing, Computer Applications, Computer Assisted, Diagnosis, Psychological Assessment computerized adaptive testing},
	author = {Meijer, R. R. and Gr{\'e}goire, J.}
}
@inbook {410,
	title = {Detecting person misfit in adaptive testing using statistical process control techniques},
	booktitle = {Computer adaptive testing: Theory and practice},
	year = {2000},
	pages = {201-219},
	publisher = {Kluwer Academic.},
	organization = {Kluwer Academic.},
	address = {Dordrecht, The Netherlands},
	keywords = {person Fit},
	author = {van Krimpen-Stoop, E. M. L. A. and Meijer, R. R.}
}
@inbook {1814,
	title = {Detecting person misfit in adaptive testing using statistical process control techniques},
	year = {2000},
	address = {W. J. van der Linden, and C. A. W. Glas (Editors). Computerized Adaptive Testing: Theory and Practice. Norwell MA: Kluwer.},
	author = {van Krimpen-Stoop, E. M. L. A. and Meijer, R. R.}
}
@booklet {1543,
	title = {Detection of person misfit in computerized adaptive testing with polytomous items (Research Report 00-01)},
	year = {2000},
	address = {Enschede, The Netherlands: University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis},
	author = {van Krimpen-Stoop, E. M. L. A. and Meijer, R. R.}
}
@article {603,
	title = {The null distribution of person-fit statistics for conventional and adaptive tests},
	journal = {Applied Psychological Measurement},
	volume = {23},
	year = {2000},
	pages = {327-345},
	author = {van Krimpen-Stoop, E. M. L. A. and Meijer, R. R.}
}
@article {642,
	title = {Computerized adaptive testing: Overview and introduction},
	journal = {Applied Psychological Measurement},
	volume = {23},
	year = {1999},
	pages = {187-194},
	author = {Meijer, R. R. and Nering, M. L.}
}
@article {280,
	title = {Computerized Adaptive Testing: Overview and Introduction},
	journal = {Applied Psychological Measurement},
	volume = {23},
	number = {3},
	year = {1999},
	pages = {187-94},
	abstract = {Use of computerized adaptive testing (CAT) has increased substantially since it was first formulated in the 1970s. This paper provides an overview of CAT and introduces the contributions to this Special Issue. The elements of CAT discussed here include item selection procedures, estimation of the latent trait, item exposure, measurement precision, and item bank development. Some topics for future research are also presented. },
	keywords = {computerized adaptive testing},
	author = {Meijer, R. R. and Nering, M. L.}
}
@article {751,
	title = {CUSUM-based person-fit statistics for adaptive testing},
	journal = {Journal of Educational and Behavioral Statistics},
	volume = {26},
	year = {1999},
	pages = {199-218},
	author = {van Krimpen-Stoop, E. M. L. A. and Meijer, R. R.}
}
@booklet {1542,
	title = {CUSUM-based person-fit statistics for adaptive testing (Research Report 99-05)},
	year = {1999},
	address = {Enschede, The Netherlands: University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis},
	author = {van Krimpen-Stoop, E. M. L. A. and Meijer, R. R.}
}
@article {752,
	title = {The null distribution of person-fit statistics for conventional and adaptive tests},
	journal = {Applied Psychological Measurement},
	volume = {23},
	year = {1999},
	pages = {327-345},
	author = {van Krimpen-Stoop, E. M. L. A. and Meijer, R. R.}
}
@booklet {1541,
	title = {Person fit based on statistical process control in an adaptive testing environment (Research Report 98-13)},
	year = {1998},
	address = {Enschede, The Netherlands: University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis},
	author = {van Krimpen-Stoop, E. M. L. A. and Meijer, R. R.}
}
@booklet {1475,
	title = {Simulating the null distribution of person-fit statistics for conventional and adaptive tests (Research Report 98-02)},
	year = {1998},
	address = {Enschede, The Netherlands: University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis},
	author = {Meijer, R. R. and van Krimpen-Stoop, E. M. L. A.}
}
@article {155,
	title = {Statistical tests for person misfit in computerized adaptive testing},
	number = {98-01},
	year = {1998},
	pages = {28},
	institution = {Faculty of Educational Science and Technology, Univeersity of Twente},
	address = {Enschede, The Netherlands},
	isbn = {98-01},
	author = {Glas, C. A. W. and Meijer, R. R. and van Krimpen-Stoop, E. M.}
}
@booklet {1385,
	title = {Statistical tests for person misfit in computerized adaptive testing (Research Report 98-01)},
	year = {1998},
	address = {Enschede, The Netherlands : University of Twente, Faculty of Educational Science and Technology, Department of Measurement and Data Analysis},
	author = {Glas, C. A. W. and Meijer, R. R. and van Krimpen-Stoop, E. M. L. A.}
}
