Works matching IS 10944281 AND DT 2023 AND VI 26 AND IP 4

Results: 9

Call for Papers for a Feature Topic: Having A Way with Words: Innovations and Improvements in Text Analysis Methods.

Published in:

Organizational Research Methods, 2023, v. 26, n. 4, p. 752, doi. 10.1177/10944281231195704

By:

Kiley, Jason;
McKenny, Aaron;
Short, Jeremy;
Smith, Anne

Publication type:

Article

Using CATA and Machine Learning to Operationalize Old Constructs in New Ways: An Illustration Using U.S. Governors' COVID-19 Press Briefings.

Published in:

Organizational Research Methods, 2023, v. 26, n. 4, p. 705, doi. 10.1177/10944281221098607

By:

Marshall, Jason D.;
Yammarino, Francis J.;
Parameswaran, Srikanth;
Cheong, Minyoung

Publication type:

Article

Celebrating 25 Years of ORM.

Published in:

Organizational Research Methods, 2023, v. 26, n. 4, p. 571, doi. 10.1177/10944281231195788

By:

Lambert, Lisa Schurer;
Köhler, Tine

Publication type:

Article

Reviewer Resources: Confirmatory Factor Analysis.

Published in:

Organizational Research Methods, 2023, v. 26, n. 4, p. 608, doi. 10.1177/10944281221120541

By:

Nye, Christopher D.

Publication type:

Article

Conducting and Evaluating Multilevel Studies: Recommendations, Resources, and a Checklist.

Published in:

Organizational Research Methods, 2023, v. 26, n. 4, p. 629, doi. 10.1177/10944281211060712

By:

González-Romá, Vicente;
Hernández, Ana

Publication type:

Article

Entwined Positionality and Interpretive Frames of Reference: An Autoethnographic Account.

Published in:

Organizational Research Methods, 2023, v. 26, n. 4, p. 678, doi. 10.1177/10944281221111401

By:

Bolade-Ogunfodun, Yemisi;
Richmond Soga, Lebene;
Laker, Benjamin

Publication type:

Article

How Rare Is Rare? How Common Is Common? Empirical Issues Associated With Binary Dependent Variables With Rare Or Common Event Rates.

Published in:

2023

By:

Woo, Hyun-Soo;
Berns, John P.;
Solanelles, Pol

Publication type:

Literature Review

Construct Development and Validation in Three Practical Steps: Recommendations for Reviewers, Editors, and Authors.

Published in:

Organizational Research Methods, 2023, v. 26, n. 4, p. 574, doi. 10.1177/10944281221115374

By:

Lambert, Lisa Schurer;
Newman, Daniel A.

Publication type:

Article

Corrigendum to Using CATA and Machine Learning to Operationalize Old Constructs in New Ways: An Illustration Using U.S. Governors' COVID-19 Press Briefings.

Published in:: 2023
Publication type:: Correction Notice