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      Don't just tell me, show me: Impacting perceptions of organizational attraction and fit using activating LGBT diversity signals

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          Abstract

          To appeal to traditionally hard‐to‐reach populations such as the LGBT community, many organizations have made diversity and inclusion a focal point of their recruitment messaging. However, extant research provides little evidence of the effectiveness of this messaging for its intended and non‐intended targets. Building upon a proposed signaling theory typology, we suggest that activating signals—signals that show how diversity and inclusion are actively embodied or “activated” through organizational practices—are more effective than pointing signals—signals that merely tell an individual that diversity and inclusion is valued. After validating a collection of individual diversity signals using this typology, we test our theory across multiple studies. In Study 1, we focus specifically on LGBT job seekers and conduct an experiment to examine the degree to which various LGBT diversity signals on a fictional company website influence initial assessments of organizational attraction and person‐organization fit. In Study 2, we replicate and extend Study 1 by demonstrating how the positive effects of LGBT diversity signals are similar in a sample of non‐LGBT job seekers. Finally, in Study 3, we extend the generalizability of our theorizing using a sample of recent job seekers and real organizational websites.

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          Common method biases in behavioral research: A critical review of the literature and recommended remedies.

          Interest in the problem of method biases has a long history in the behavioral sciences. Despite this, a comprehensive summary of the potential sources of method biases and how to control for them does not exist. Therefore, the purpose of this article is to examine the extent to which method biases influence behavioral research results, identify potential sources of method biases, discuss the cognitive processes through which method biases influence responses to measures, evaluate the many different procedural and statistical techniques that can be used to control method biases, and provide recommendations for how to select appropriate procedural and statistical remedies for different types of research settings.
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            Job Market Signaling

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              Prolific.ac—A subject pool for online experiments

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                Author and article information

                Contributors
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                Journal
                Personnel Psychology
                Personnel Psychology
                0031-5826
                1744-6570
                June 12 2023
                Affiliations
                [1 ] College of Business, Department of Management James Madison University Harrisonburg Virginia USA
                [2 ] Ivy College of Business, Department of Management and Entrepreneurship Iowa State University Ames Iowa USA
                [3 ] School of Labor and Employment Relations The Pennsylvania State University University Park Pennsylvania USA
                [4 ] Sam M. Walton College of Business, Department of Management University of Arkansas Fayetteville Arkansas USA
                Article
                10.1111/peps.12595
                96e60a09-1921-4462-88a9-a8e2d2e60e64
                © 2023

                http://creativecommons.org/licenses/by/4.0/

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