Ching-Lin Shih

Management Science and Operations Research · 2009–2012

A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Management Science and Operations Research — 23 citations into it; #7,533 of 11,946 by trust here, #10,392 by citations
• Computer Networks and Communications — 22 citations into it; #6,265 of 9,886 by trust here, #8,844 by citations
• Experimental and Cognitive Psychology — 6 citations into it
• Developmental and Educational Psychology — 5 citations into it

Whom Ching-Lin Shih trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Holmes Finch
2. Wen-Chung Wang
3. Brian French
4. S. Maller
5. Ya-Hui Su
6. Carol M. Woods

Who trusts Ching-Lin Shih overall

1. Carol M. Woods
2. Kevin J. Grimm
3. Wen-Chung Wang

Papers from Ching-Lin Shih's perspective

Ordered by how strongly the researchers Ching-Lin Shih trusts endorse each paper. Same corpus, a different order for every researcher.

1. A Review and Synthesis of the Measurement Invariance Literature: Suggestions, Practices, and Recommendations for Organizational Research
2. The MIMIC Model as a Method for Detecting DIF: Comparison With Mantel-Haenszel, SIBTEST, and the IRT Likelihood Ratio
3. Empirical Selection of Anchors for Tests of Differential Item Functioning
4. Iterative Purification and Effect Size Use With Logistic Regression for Differential Item Functioning Detection
5. Obtaining a Common Scale for Item Response Theory Item Parameters Using Separate Versus Concurrent Estimation in the Common-Item Equating Design
6. Assessing Differential Step Functioning in Polytomous Items Using a Common Odds Ratio Estimator.
7. Effects of Average Signed Area Between Two Item Characteristic Curves and Test Purification Procedures on the DIF Detection via the Mantel-Haenszel Method
8. Evaluating Type I Error and Power Rates Using an Effect Size Measure With the Logistic Regression Procedure for DIF Detection
9. Statistical aspects of the analysis of data from retrospective studies of disease.
10. Tests of statistical hypotheses concerning several parameters when the number of observations is large

Their papers

• Differential Item Functioning Detection Using the Multiple Indicators, Multiple Causes Method with a Pure Short Anchor (2009) — 98 citations
• The DIF-Free-Then-DIF Strategy for the Assessment of Differential Item Functioning (2012) — 74 citations
• MIMIC Methods for Assessing Differential Item Functioning in Polytomous Items (2010) — 57 citations