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cr unu|||||||| |
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100429s2010 txu sbm 000 0 eng d |
| 035 |
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|a (OCoLC)ocn610041863
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| 035 |
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|a (OCoLC)610041863
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| 035 |
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|a (TxCM)http://hdl.handle.net/1969.1/ETD-TAMU-1683
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| 040 |
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|a TXA
|c TXA
|d UtOrBLW
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| 049 |
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|a TXAM
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| 099 |
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|a 2007
|a Dissertation
|a 1969.1/ETD-TAMU-1683
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| 100 |
1 |
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|a Natesan, Prathiba.
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| 245 |
1 |
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|a Estimation of two-parameter multilevel item response models with predictor variables :
|b simulation and substantiation for an urban school district /
|c by Prathiba Natesan.
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| 264 |
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|a [College Station, Tex.] :
|b [Texas A&M University],
|c [2010]
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| 300 |
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|a 1 online resource.
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a computer
|b c
|2 rdamedia
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| 338 |
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|a online resource
|b cr
|2 rdacarrier
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| 500 |
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|a "Major Subject: Curriculum and Instruction"
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| 500 |
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|a Title from author supplied metadata (automated record created 2010-03-12 12:08:51).
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| 502 |
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|b Doctor of Philosophy
|c Texas A&M University
|d 2007
|o http://hdl.handle.net/1969.1/ETD-TAMU-1683
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| 504 |
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|a Includes bibliographical references.
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| 516 |
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|a Text (Dissertation)
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|a The most recent development in the field of Item Response Theory (IRT) has been the evaluation of IRT models as multilevel models, known as Multilevel IRT models (MLIRT). These models offer several statistical and practical advantages over ordinary IRT models. However, models such as 2-PL MLIRT models have not been studied yet. This dissertation consists of two studies, a simulation and a substantiation for an urban school district dataset. The simulation study tested the performance of twoparameter (2-PL) MLIRT models with predictor variables under various conditions that included 3 test lengths (15, 30, and 60 items), 4 sample sizes (200, 500, 1000, and 2000), 2 correlation conditions between the predictor variable and the ability (or attitude) parameter (rpb=.35 and .8), and 4 binomial distributions of the predictor variable (p=0.1, 0.25, 0.4, and 0.5). The bias and Root Mean Square Deviation (RMSD) values of the item parameters indicated that the distribution of the predictor variable and the correlation between the predictor and the ability (or attitude) parameter did not affect the estimates of 2-PL MLIRT models. These models performed well for sample sizes as low as 500 and test lengths as low as 15 which is lower than the required sample size for ordinary IRT models. Even for a sample size of 200, sufficiently accurate estimates were obtained with more than 300 iterations. The second study investigated the characteristics of the items that measured urban teachers⁰́₉ perceptions of cultural awareness and beliefs about teaching African American children and tested whether these perceptions were influenced by the teachers⁰́₉ gender, ethnicity, or teaching experience. Teacher beliefs about teaching African American students, culturally responsive management, and cultural awareness factors were influenced by the ethnicity of the teachers. Culturally responsive management, home and community support, and curriculum and instructional strategies factors were influenced by the teaching experience of the teachers. Items that were biased based on ethnicity or teaching experience were identified. None of the items exhibited gender bias. The study identified items that could be used over other items when the need for a shorter instrument or more informative categories arises.
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| 500 |
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|a Electronic resource.
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| 650 |
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|a Major curriculum and instruction.
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| 653 |
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|a Multilevel Item Response Theory
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| 653 |
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|a Urban education
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| 700 |
1 |
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|a Carter, Norvella P.,
|e thesis advisor.
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| 700 |
1 |
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|a Thompson, Bruce,
|e thesis advisor.
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| 856 |
4 |
0 |
|u http://hdl.handle.net/1969.1/ETD-TAMU-1683
|z Link to OAK Trust copy
|t 0
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| 994 |
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|a C0
|b TXA
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| 948 |
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|a cataloged
|b h
|c 2010/4/29
|d c
|e jlanham
|f 12:56:13 pm
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| 999 |
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|a MARS
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| 999 |
f |
f |
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|t 0
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| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
|s www_evans
|d Available Online
|t 0
|e 2007 Dissertation 1969.1/ETD-TAMU-1683
|h Other scheme
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| 998 |
f |
f |
|a 2007 Dissertation 1969.1/ETD-TAMU-1683
|t 0
|l Available Online
|