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Viser treff 1-21 av 21

2021
1 Steinmann, Isa; Rutkowski, Leslie.
The Link between Gender Gaps in Secondary School Enrollment and Achievement. College for Interdisciplinary Educational Research (CIDER) Spring Workshop 2021; 2021-05-05 - 2021-05-07
UiO Untitled
 
2019
2 Rutkowski, Leslie; Svetina, Dubravka; Liaw, Yuan-Ling.
Collapsing Categorical Variables and Measurement Invariance. Structural Equation Modeling 2019
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3 Svetina, Dubravka; Liaw, Yuan-Ling; Rutkowski, Leslie; Rutkowski, David.
Routing Strategies and Optimizing Design for Multistage Testing in International Large-Scale Assessments. Journal of Educational Measurement 2019 ;Volum 56.(1) s. 192-213
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2018
4 Liaw, Yuan-Ling; Wu, Yuanyue; Rutkowski, David; Rutkowski, Leslie.
Evaluating PISA scales across Chinese economies. Asia Pacific Journal of Education 2018 ;Volum 38.(3) s. 432-451
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5 Matta, Tyler; Rutkowski, Leslie; Rutkowski, David; Liaw, Yuan-Ling.
lsasim: an R package for simulating large‑scale assessment data. Large-scale Assessments in Education 2018 ;Volum 6:15.(15) s. 1-33
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6 Rutkowski, David; Rutkowski, Leslie; Liaw, Yuan-Ling.
Measuring Widening Proficiency Differences in International Assessments: Are Current Approaches Enough?. Educational Measurement: Issues and Practice 2018 ;Volum 37.(4) s. 40-48
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7 Rutkowski, Leslie; Rutkowski, David.
Improving the Comparability and Local Usefulness of International Assessments: A Look Back and A Way Forward. Scandinavian Journal of Educational Research 2018 ;Volum 62.(3) s. 354-367
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2017
8 Rutkowski, David; Rutkowski, Leslie; Wild, J.; Burroughs, N..
Poverty and educational achievement in the U.S.: A less biased estimate using PISA 2012 data. Journal of Children and Poverty 2017 ;Volum 24.(1) s. 47-67
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9 Rutkowski, Leslie.
Design considerations for planned missing auxiliary data in a latent regression context. Psychological Test and Assessment Modeling 2017 ;Volum 59.(1) s. 55-70
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10 Rutkowski, Leslie; Svetina, Dubravka.
Measurement Invariance in International Surveys: Categorical Indicators and Fit Measure Performance. Applied Measurement in Education 2017 ;Volum 30.(1) s. 39-51
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11 Svetina, Dubravka; Rutkowski, Leslie.
Multidimensional measurement invariance in an international context: Fit measure performance with many groups. Journal of Cross-Cultural Psychology 2017 ;Volum 48.(7) s. 991-1008
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2016
12 Rutkowski, David; Rutkowski, Leslie.
What teachers can’t and can learn from international assessments. CEMO white paper.
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13 Rutkowski, Leslie.
A look at the most pressing methodological issues in international assessment.. Washington, DC: US National Academy of Education 2016 38 s.
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14 Rutkowski, Leslie.
Causal inferences with cross-sectional large scale assessment data. Large-scale Assessments in Education 2016 ;Volum 4. s. -
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15 Rutkowski, Leslie.
Introduction to special issue on quasi-causal methods. Large-scale Assessments in Education 2016 ;Volum 4. s. 1-6
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16 Rutkowski, Leslie; Rutkowski, David.
A call for a more measured approach to reporting and interpreting PISA results. Educational Researcher 2016 ;Volum 45.(4) s. 252-257
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17 Rutkowski, Leslie; Rutkowski, David.
International surveys, educational ISBN: 9780470670590 DOI: 10.1002/9780470670590.wbeog949. : Wiley 2016
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18 Rutkowski, Leslie; Rutkowski, David.
The relation between students’ perception of InQua and bullying victimization. I: Teacher Quality, Instructional Quality and Student Outcome. Relationships Across Countries, Cohorts and Time.. Springer 2016 ISBN 978-3-319-41251-1. s. 103-120
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19 Rutkowski, Leslie; Rutkowski, David; Zhou, Yan.
Item Calibration Samples and the Stability of Achievement Estimates and System Rankings: Another Look at the PISA Model. International Journal of Testing 2016 ;Volum 16.(1) s. 1-20
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2015
20 Rutkowski, Leslie; Zhou, Yan.
Correcting Measurement Error in Latent Regression Covariates via the MC-SIMEX Method. Journal of Educational Measurement 2015 ;Volum 52.(4) s. 359-375
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21 Rutkowski, Leslie; Zhou, Yan.
The impact of missing and error-prone auxiliary information on sparse-matrix sub-population parameter estimates. Methodology: European Journal of Research Methods for the Behavioral and Social Sciences 2015 ;Volum 11.(3) s. 89-99
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