CLC Estimator
A Tool for Latent Construct Estimation via Congeneric Approaches in Survey Research
Bibliographic Data
| ID | 19290686 |
|---|---|
| Authors | Giacomo Marzi (0000-0002-8769-2462, IMT School for Advanced Studies Lucca), Marco Balzano (0000-0002-2452-631X, Department of Management, Ca’ Foscari University of Venice & Knowledge, Technology, and Organisation Research Center, SKEMA Business School), Leonardo Egidi (0000-0003-3211-905X, University of Trieste, corresponding author), Alessandro Magrini (0000-0002-7278-5332, University of Florence) |
| Year | 2023 |
| Volume | 58 |
| Issue | 6 |
| Pages | 1160-1164 |
| Publication date | 2023-11-02 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Multivariate Behavioral Research (JOURNAL) |
| Journal identifiers | ISSN: 0027-3171 • E-ISSN: 1532-7906 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/00273171.2023.2193718 |
| PMID | 37038660 |
| OpenAlex | W4364354367 |
| Language | EN |
| Citations received | 3 |
| References cited | 8 |
This article proposes the Shiny app 'CLC Estimator' -Congeneric Latent Construct Estimator- to address the problem of estimating latent unidimensional constructs via congeneric approaches. While congeneric approaches provide more rigorous results than suboptimal parallel-based scoring methods, most statistical packages do not provide easy access to congeneric approaches. To address this issue, the CLC Estimator allows social scientists to use congeneric approaches to estimate latent unidimensional constructs smoothly. The present app provides a novel solution to the challenge of limited access to congeneric estimation methods in survey research
Construct (python library) · Data mining · Data science · Estimation · Estimator · Machine learning · Statistics · Artificial Intelligence · Bayesian Methods and Mixture Models · Computer Science · Engineering · Mathematics · Statistical Methods and Bayesian Inference · Statistical Methods and Inference
Exploratory and confirmatory factor analysis
Computing and evaluating factor scores.
Statistical Analysis of Sets of Congeneric Tests
Marginal Maximum Likelihood Estimation of Item Parameters
Thinking twice about sum scores
Congeneric and (Essentially) Tau-Equivalent Estimates of Score Reliability
Confirmatory Measurement Model Comparisons Using Latent Means
| Unique citing works | 3 |
|---|---|
| Citations per year | 1 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |