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Patricia Martinkova

• Welcome
• Research
• Teaching
• Publications
• CV
• Office address
  Pod Vodarenskou vezi 2
  182 07, Praha 8, Czech Republic
  phone: +420 26605 3400
  e-mail: martinkova@cs.cas.cz

NMST 570 Selected topics in psychometrics
(Vybraná témata z psychometrie)

Tuesday 3:40PM - 5:10PM, room K11, Faculty of Mathematics and Physics, Charles University, Sokolovská 83, Praha 2.
Course description in English.
Anotace předmětu v češtině.
Older pages (winter semester 2017).


News
(Feb 26, 2018) Welcome to NMST570!
(March 25, 2018) There will be no seminar on March 27, make-up class will take place on April 3.

Lesson 1 (Tue Feb 26, 2018): Introduction

• Slides (In Czech)
• Matura examination dataset pdf wording, pdf key,
  dataMaturitaABC3tis.csv, dataMaturitaKeyABC.csv
  

Lesson 2 (Tue Mar 13, 2018): Measurement error, reliability

• Slides (recall also slides from ZS L6 seminar)
• Exercises pdf
  Grant Peer Review article by Sattler et al. (2015),
  Accompanying data and R code
• Other suggested reading:
  [1] Martinková P, Vlčková K. Hodnocení reliability znalostních a psychologických testů. (Estimation of Reliability of Educational and Psychological Measurements. In Czech.) Informační bulletin České statistické společnosti, 4, pp. 1-15, 2014. Accompanying R code
  [2] Martinková P, Goldhaber D. Improving Teacher Selection: The Effect of Inter-Rater Reliability in the Screening Process. CEDR Working Paper 2015-7. University of Washington, Seattle, WA.

Lesson 3 (Tue Apr 3, 2018): IRT models

• Slides
• Exercises pdf
  

Lesson 4 (Tue Apr 10, 2018): IRT models, Project proposals DUE

• Slides (updated from L3)
• Exercises pdf
  Neuroticism data and R code

Lesson 5 (Tue Apr 24, 2018): Value-added models, project proposals short presentations

• Slides
• Exercises R code
• Doran and Lockwood (2004)
• OECD (2008)
• Goldstein and Leckie (2008)

Lesson 6 (Tue May 22, 2018): Project presentations

Software

• R
• Psychometric libraries in R
• Martinková P, Drabinová A, et al. ShinyItemAnalysis: Test and Item Analysis via Shiny (online application). ShinyItemAnalysis R package version 1.2.3.

References:

• Martinková P, Drabinová A, Houdek J. ShinyItemAnalysis: Analýza přijímacích a jiných znalostních či psychologických testů (ShinyItemAnalysis: Analyzing admission and other educational and psychological tests. In Czech.) Testfórum, no. 9, pp.16-35, 2017.
• McFarland JL, Price RM, Wenderoth MP, Martinková P, et al. Development and validation of the Homeostasis Concept Inventory. CBE Life Sciences Education, Vol. 16 no. 2 ar35, 2017.
• Martinková P, Drabinová A, Liaw Y-L, Sanders EA, McFarland JL, Price RM. Checking equity: Why DIF analysis should be a routine part of developing conceptual assessments. CBE Life Sciences Education, vol. 16 no. 2 rm2, 2017.
• Drabinová A, Martinková P. Detection of Differential Item Functioning with Non-Linear Regression: Non-IRT Approach Accounting for Guessing. Journal of Educational Measurement, 54(4), pp. 498-517, 2017.
• Martinková P, Vlčková K. Hodnocení reliability znalostních a psychologických testů. (Estimation of Reliability of Educational and Psychological Measurements. In Czech.) Informační bulletin České statistické společnosti, 4, pp. 1-15, 2014.

© 2018 Patrícia Martinková / Template design adapted from Andreas Viklund