D. Dimitrov
Education · with Raykov · 2003–2018
A researcher in the Science corpus: 7 papers; trusts 27 researchers and is trusted by 40 researchers here, as inferred from the citation graph.
Subfields
- Education — 26 citations into it
- Management Science and Operations Research — 19 citations into it; #2,278 of 11,946 by trust here, #4,602 by citations
- Statistics and Probability — 16 citations into it; #1,322 of 12,932 by trust here, #3,703 by citations
- Developmental and Educational Psychology — 14 citations into it
- Computer Networks and Communications — 7 citations into it; #699 of 9,886 by trust here, #4,277 by citations
- Artificial Intelligence — 6 citations into it
- Experimental and Cognitive Psychology — 6 citations into it
- Organizational Behavior and Human Resource Management — 5 citations into it
Whom D. Dimitrov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- R. Millsap
- Barbara M. Byrne
- Gordon W. Cheung
- Adam W. Meade
- Myeongsun Yoon
- F. Nasser
- Richard D. Gonzalez
- Tenko Raykov
- F. Chen
- Roger B. Rensvold
Who trusts D. Dimitrov overall
- Daniel A. Sass
- N. Bowen
- Florian Arendt
- Tenko Raykov
- Jesus Alfonso D. Datu
- Susanne Miesera
- Chunqing Zhang
- Peter Sommerauer
- M. Rudnev
- Sam Wass
Papers from D. Dimitrov's perspective
Ordered by how strongly the researchers D. Dimitrov trusts endorse each paper. Same corpus, a different order for every researcher.
- Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance
- A Review and Synthesis of the Measurement Invariance Literature: Suggestions, Practices, and Recommendations for Organizational Research
- Book Review : Structural Equations with Latent Variables Kenneth A. Bollen New York: Wiley, 1989, 514 pp., approx. $44.95
- Detecting Violations of Factorial Invariance Using Data-Based Specification Searches: A Monte Carlo Study
- Statistical Analysis with Missing Data: Little/Statistical Analysis with Missing Data
- A Monte Carlo Study Investigating the Impact of Item Parceling on Measures of Fit in Confirmatory Factor Analysis
- Problems With Item Parceling for Confirmatory Factor Analytic Tests of Measurement Invariance
- BEYOND SEM: GENERAL LATENT VARIABLE MODELING
- A Monte-Carlo Study of Confirmatory Factor Analytic Tests of Measurement Equivalence/Invariance
- An Essay on Measurement and Factorial Invariance (Medical Care)
Their papers
- Marginal True-Score Measures and Reliability for Binary Items as a Function of Their IRT Parameters (2003) — 51 citations
- Testing for Factorial Invariance in the Context of Construct Validation (2010) — 1,147 citations
- Pretest-posttest designs and measurement of change (2003) — 1,066 citations
- Revising the Metacognitive Awareness of Reading Strategies Inventory (MARSI) and testing for factorial invariance (2018) — 121 citations
- Maximal Reliability and Composite Reliability: Examining Their Difference for Multicomponent Measuring Instruments Using Latent Variable Modeling (2016) — 56 citations
- The Teacher Efficacy for Inclusive Practices (TEIP) Scale: Dimensionality and Factor Structure. (2016) — 89 citations
- Evaluation of Scale Reliability With Binary Measures Using Latent Variable Modeling (2010) — 129 citations