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1

Brockwell, Peter J., and Richard A. Davis. ITSM for Windows. New York, NY: Springer New York, 1994. http://dx.doi.org/10.1007/978-1-4612-2676-5.

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2

Corporation, International Business Machines, ed. Certification study guide: IBM Tivoli Storage Manager (ITSM) version 5.3. White Plains, N.Y: IBM, 2005.

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3

Brockwell, Peter J., and Richard A. Davis. ITSM: An Interactive Time Series Modelling Package for the PC. Berlin, Heidelberg: Springer Berlin Heidelberg, 1991. http://dx.doi.org/10.1007/978-3-662-39874-6.

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4

Brockwell, Peter J., and Richard A. Davis. ITSM: An Interactive Time Series Modelling Package for the PC. New York, NY: Springer New York, 1991. http://dx.doi.org/10.1007/978-1-4612-3116-5.

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5

The ITSm process design guide: Developing, reengineering, and improving IT service management. Ft. Lauderdale, FL: J. Ross Pub., 2010.

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6

The use and application of the line item veto. Washington: U.S. G.P.O., 1997.

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7

Ackerman, Terry A. A comparison study of the unidimensional IRT estimation of compensatory and noncompensatory multidimensional item response data. Iowa City, Iowa: American College Testing Program, 1988.

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8

Hariharan, Swaminathan, and Rogers H. Jane, eds. Fundamentals of item response theory. Newbury Park, Calif: Sage Publications, 1991.

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9

Multidimensional item response theory. Dordrecht: Springer, 2009.

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10

Spray, Judith A. The effect of item response dependency on trait or ability dimensionality. Iowa City, Iowa: American College Testing Program, 1988.

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11

Ackerman, Terry A. The use of unidimensional item parameter estimates of multidimensional items in adaptive testing. Iowa City, Iowa: American College Testing Program, 1988.

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12

United States. Congress. House. Committee on Rules. Providing for the consideration of S. 4, the Line Item Veto Bill: Report (to accompany H. Res. 147). [Washington, D.C.?: U.S. G.P.O., 1995.

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13

DeMars, Christine. Item response theory. Oxford: Oxford University Press, 2010.

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14

United States. Congress. House. Committee on Rules. Providing for the consideration of S. 4, the Line Item Veto Bill: Report (to accompany H. Res. 147). [Washington, D.C.?: U.S. G.P.O., 1995.

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15

Item response theory. Oxford: Oxford University Press, 2010.

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16

Spray, Judith A. The effect of item parameter estimation error on decisions made using the sequential probability ratio test. Iowa City, Iowa: American College Testing Program, 1988.

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17

Baker, Frank B. Item response theory: Parameter estimation techniques. New York: M. Dekker, 1992.

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18

Miller, Timothy R. Empirical estimation of standard errors of compensatory MIRT model parameters obtained from the NOHARM estimation program: Research report ONR91-2. Iowa City, Iowa: American College Testing Program, 1991.

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19

Woodruff, David J. Estimation of item response models using the EM algorithm for finite mixtures. Iowa City, Iowa: American College Testing Program, 1996.

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20

Ackerman, Terry A. The robustness of LOGIST and BILOG IRT estimation programs to violations of local independence. Iowa City, Iowa: American College Testing Program, 1988.

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21

Wainer, Howard. Estimating ability with the wrong model. Brooks Air Force Base, Tex: Air Force Human Resources Laboratory, Air Force Systems Command, 1985.

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22

Ackerman, Terry A. A general model for item dependency. Iowa City, Iowa: American College Testing Program, 1987.

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23

Item response theory: Parameter estimation techniques. 2nd ed. New York: Marcel Dekker, 2004.

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24

Carlson, James E. Multidimensional item response theory estimation: A computer program : version 2.01. Iowa City, Iowa: American College Testing Program, 1988.

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25

Meijer, Rob R. Simple nonparametric checks for model data fit in CAT. Newtown, PA: Law School Admission Council, 2005.

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26

Szabó, Gábor. Applying item response theory in language test item bank building. Frankfurt am Main: Peter Lang, 2008.

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27

Itsa cookbook. Dublin: Gill & Macmillan, 2010.

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28

San Francisco (Calif.). Board of Supervisors. Budget Analyst. Mayor's FY 1994-95 line item vetoes. San Francisco, CA: City and County of San Francisco, Board of Supervisors, Budget Analyst, 1994.

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29

Administration, United States Congress Senate Committee on Rules and. Line item veto: Hearings before the Committee on Rules and Administration, United States Senate, Ninety-ninth Congress, first session, on S. 43 ... May 14, 20; June 20, 1985. Washington: U.S. G.P.O., 1985.

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30

Hoijtink, Herbert. PARELLA: Measurement of latent traits by proximity items. [Leiden]: DWSO Press, Leiden University, 1991.

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31

Benson, Larry D. The presidential line-item veto: A bibliography. Monticello, Ill: Vance Bibliographies, 1989.

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32

Meijer, Rob R. Investigating the quality of items in CAT using nonparametric IRT. Newtown, PA: Law School Admission Council, 2004.

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33

Schulz, E. Matthew. A study of modified-Guttman and IRT-based level scoring procedures for Work Keys assessments. Iowa City, Iowa: ACT, Inc., 1997.

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34

Schulz, E. Matthew. A study of modified-Guttman and IRT-based level scoring procedures for work keys assessments. Iowa City, IA: ACT, Inc., 1997.

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35

Tang, K. Linda. Polytomous item response theory (IRT) models and their applications in large-scale testing programs: Review of literature. Princton, N.J: Educational Testing Service, 1996.

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36

Schulz, E. Matthew. A study of modified-Guttman and IRT-based level scoring procedures for Work Keys assessments. Iowa City, Iowa: ACT, Inc., 1997.

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37

Schulz, E. Matthew. A study of modified-Guttman and IRT-based level scoring procedures for Work Keys assessments. Iowa City, Iowa: ACT, Inc., 1997.

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38

United States. Congress. Senate. Committee on the Budget. Legislative Line Item Veto Separate Enrollment Authority Act: Report of the Committee on the Budget, United States Senate, to accompany S. 3181, together with additional and minority views. Washington: U.S. G.P.O., 1990.

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39

Allen, Nancy L. Application of the Mantel-Haenszel procedure to complex samples of items. Princeton, N.J: Educational Testing Service, 1995.

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40

Ibach, Earl W. Tulpehocken cigarama. Womelsdorf, PA: E.W. Ibach, 2006.

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41

Moe, Ronald C. Prospects for the item veto at the federal level: Lessons from the states. Washington, DC: National Academy of Public Administration, 1988.

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42

Wu, Margaret L. ACER ConQuest: Generalised item reponse modelling software. Melbourne [Australia]: ACER Press, 1998.

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43

Davey, Tim. Realistic simulation of item response data. Iowa City, Iowa: ACT, Inc., 1997.

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44

Huang, Chi-Yu. Estimating item parameters from classical indices for item pool development with a computerized classification test. Iowa City, Iowa: ACT, Inc., 2000.

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45

United States. Congress. Senate. Committee on Rules and Administration. Providing that each item of any general or special appropriation bill and any bill or joint resolution making supplemental, deficiency, or continuing appropriations that is agreed to by both houses of the Congress in the same form shall be enrolled as a separate bill or joint resolution for presentation to the President: Report together with additional views (to accompany S. 43). [Washington, D.C.?: U.S. G.P.O., 1985.

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46

United States. Congress. Senate. Committee on Rules and Administration. Providing that each item of any general or special appropriation bill and any bill or joint resolution making supplemental, deficiency, or continuing appropriations that is agreed to by both houses of the Congress in the same form shall be enrolled as a separate bill or joint resolution for presentation to the President: Report together with additional views (to accompany S. 43). [Washington, D.C.?: U.S. G.P.O., 1985.

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47

Office, General Accounting. Line item veto: Estimating potential savings : report to Congressional committees. Washington, D.C: The Office, 1992.

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48

K, Hambleton Ronald, ed. Handbook of modern item response theory. New York: Springer, 1997.

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49

Handbook of item response theory. Boca Raton, FL: CRC Press, 2015.

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50

Administration, United States Congress Senate Committee on Rules and. Providing that each item of any general or special appropriation bill and any bill or joint resolution making supplemental, deficiency, or continuing appropriations that is agreed to by both houses of the Congress in the same form shall be enrolled as a separate bill or joint resolution for presentation to the President: Report together with additional views (to accompany S. 43). [Washington, D.C.?: U.S. G.P.O., 1985.

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