Detecting Differential Item Functioning Using the Logistic Regression Procedure in Small Samples.

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Detecting Differential Item Functioning Using the Logistic Regression Procedure in Small Samples.

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2016 nî lūn-bûn

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2016年の論文

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2016年学术文章

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2016年学术文章

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2016年学术文章

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2016年学术文章

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2016年学术文章

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2016年學術文章

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2016年學術文章

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2016年學術文章

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Detecting Differential Item Fu ...... on Procedure in Small Samples.

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Detecting Differential Item Fu ...... on Procedure in Small Samples.

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Detecting Differential Item Fu ...... on Procedure in Small Samples.

@en

Detecting Differential Item Fu ...... on Procedure in Small Samples.

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Detecting Differential Item Fu ...... on Procedure in Small Samples.

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Detecting Differential Item Fu ...... on Procedure in Small Samples.

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P1476

Detecting Differential Item Fu ...... on Procedure in Small Samples.

@en

P2093

Sunbok Lee

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P2860

Maximum likelihood, profile likelihood, and penalized likelihood: a primer

A comparative investigation of methods for logistic regression with separated or nearly separated data.

The Large-Sample Distribution of the Likelihood Ratio for Testing Composite Hypotheses

Bootstrap Methods: Another Look at the Jackknife

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30-43

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scholarly article

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10.1177/0146621616668015

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P433

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P478

http://www.w3.org/2001/XMLSchema#string

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2016-09-24T00:00:00Z

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29881077

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P921

logistic regression model

P932

5978487

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