Regression analysis for categorical moderators

By K. V. Petrides. 2006

325 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/a55fda9800a74b62bdbaa826ff803b23edbe8ada

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Citations in the corpus

Corporate social responsibility and employee engagement: The moderating role of CSR‐specific relative autonomy and individualism (2018, methodology): “Following Aguinis (2004) and Aiken and West (1991), we centered all continuous predictor variables before entering them into the regression equation and before creating the interaction terms.”
Detecting Interaction Effects in Moderated Multiple Regression With Continuous Variables Power and Sample Size Considerations (2009, background): “To address this problem, various studies identified the conditions and factors pertaining to the power issues in moderated multiple regression, see Aguinis (1995, 2004) and the references therein.”
Human Capital Measurement: A Survey (2010, background): “It can be opportune to introduce these kinds of indicators also as moderator indicators that interact with formative indicators, changing the direction and the strength of their relationship with the LV HC (Aguinis, 2004).”
Best-Practice Recommendations for Defining, Identifying, and Handling Outliers (2013, background): “, squared terms; Pierce & Aguinis, 2013) or moderating effects (i.e., product terms; Aguinis, 2004; Cohen et al., 2003).”
Response Rates in Organizational Science, 1995–2008: A Meta-analytic Review and Guidelines for Survey Researchers (2010, background): “As recommended by Aguinis (2004), the specific regression coefficients corresponding to hypothesized interactions were interpreted only when the omnibus test of the family of interactions (e.”
Revisiting How and When Perceived Organizational Support Enhances Taking Charge (2015, methodology): “Our theorizing this threshold effect of the “good thing” we call POS is consistent with recent propositions by Grant and Schwartz (2011) and by Pierce and Aguinis (2013), all of whom argue there is likely a maximum optimum level of”
Trait emotional intelligence, psychological well‐being and peer‐rated social competence in adolescence (2007, background): “This is because analyses with categorical moderators have a high likelihood of producing spurious results, especially when the data at hand do not meet certain data analytic assumptions (Aguinis, 2004).”
12 Structural Equation Modeling in Management Research: A Guide for Improved Analysis (2009, methodology): “…with multiple regression are well established and involve the use of product variables created by multiplying the two variables involved in the interaction to create another variable that is used to test the interaction hypothesis (Aguinis, 2003; Aiken & West, 1991; Jaccard, Turrisi, & Wan, 1990).”
The Presence of Something or the Absence of Nothing: Increasing Theoretical Precision in Management Research (2010, background): “This reasoning can be extended to categorical moderators with more than two levels (Aguinis, 2003) and can also be extended to continuous moderators, in which case the expressions for simple slopes such as those in Equations 4 and 5 can be written as b1 þ b3ZL and b1 þ b3ZH, where ZL and ZH are low…”
Customer-Centric Science: Reporting Significant Research Results With Rigor, Relevance, and Practical Impact in Mind (2010, methodology): “Second, scholars still write for a scholarly audience and practitioners still write for a practitioner audience (Cascio & Aguinis, 2008). For example, about 94% of articles published in HRMagazine, which is a practitioner publication, are written by practitioner authors (Rynes et al., 2002). Convers”
Improving Our Understanding of Moderation and Mediation in Strategic Management Research (2017, background): “Another important issue is statistical power, or the probability of finding moderating effects in a sample when they exist in the population (Aguinis, 2004; Aguinis et al., 2001).”
The Too-Much-of-a-Good-Thing Effect in Management (2013, background): “A moderating, or interaction, effect implies that the relation between two variables depends on the value of a third (i.e., moderator) variable (Aguinis, 2004).”
The ABC for Studying the Too-Much-of-a-Good-Thing Effect (2016, methodology): “Applying the ABC Framework to the TMGT Effect The TMGT effect permeates numerous research domains, such as organizational behavior, human resource management, entrepreneurship, and strategic management (Pierce & Aguinis, 2013). In each of those domains, Pierce and Aguinis (2013) identified multiple ”
Review and Recommendations for Integrating Mediation and Moderation (2017, methodology): “…1986; James & Brett, 1984; Ledgerwood & Shrout, 2011; MacKinnon, Lockwood, Hoffman, West, & Sheets, 2002; Shrout & Bolger, 2002) and moderation (Aguinis, 2004; Cohen, Cohen, West, & Aiken, 2003; Frazier, Tix, & Barron, 2004), there exists very little guidance regarding the conceptual…”
The Curvilinear Relationship between Work Passion and Organizational Citizenship Behavior (2014, unknown): “Aguinis (2004) fairly noted, interaction effects are notoriously difficult to detect because the methodological and statistical artifacts typically observed in management research decrease statistical power (Aguinis 2004).”
Phonological Skills Are (Probably) One Cause of Success in Learning to Read: A Comment on Castles and Coltheart (2005, background): “Statistically this would be an example of a moderator effect (Aguinis, 2004).”
Cautions Regarding the Interpretation of Regression Coefficients and Hypothesis Tests in Linear Models with Interactions (2012, background): “…texts (e.g., Cohen, Cohen, West, & Aiken, 2003, chapters 7 and 9; Darlington, 1990, chapter 13; Hayes, 2005, chapter 16) and even entire books are devoted to the topic of interactions in multiple regression (e.g., Aguinis, 2003; Aiken & West, 1991; Jaccard & Turrisi, 2003; Kam & Franzese, 2007).”
Interpersonal Justice and Deviance (2013, background): “Delineating boundary conditions for theoretical relationships is critical for scientific progress and the development of effective practical interventions (Aguinis, 2004).”