Interaction effects in logistic regression
By James Jaccard. 2001
870 citations recorded by the source corpus.
Subfields: Management Science and Operations Research, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/163d61769f18644c784f275c939c7bb6dd896583
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In Management Science and Operations Research
- R. Gottfredson
- Herman Aguinis
- Jessica M. Craig
- Lars Hinrichs
- Nathan Epps
- Marsha B. Keune
- Bennet A. Zelner
- Rong Chen
In Statistics and Probability
- Yaping Gong
- Shui‐fong Lam
- Herman Aguinis
- R. Cheng
- R. Gottfredson
- Jessica M. Craig
- Lars Hinrichs
- Nathan Epps
Citations in the corpus
- Subsidiary Staffing in Multinational Enterprises: Agency, Resources, and Performance (2003, background): “Most researchers rely on the concept of odds to interpret logistic regression results (Jaccard, 2001), with odds calculated as P/(1 - P), 3 I did not control for country because doing so might have washed out too much of the cultural distance mea-”
- The interaction between social goals and self-construal on achievement motivation (2013, methodology): “As course choice was a dichotomous outcome variable, logistic regression analysis was conducted (Jaccard, 2001).”
- Thinking about commitment: Accessibility of commitment and prediction of relationship persistence, accommodation, and willingness to sacrifice (2005, neutral): “Before conducting the multiple regression, both commitment and accessibility of commitment scores were centered (Aiken & West, 1991; Jaccard, 2001).”
- Do Social Bonds Buffer the Impact of Adverse Childhood Experiences on Reoffending? (2017, methodology): “A supplemental moderation analysis was also estimated where an interaction of the mean-centered social bond and ACE score measures was used in the logistic regression (Jaccard, 2001).”
- Recent changes in the function and frequency of Standard English genitive constructions: a multivariate analysis of tagged corpora (2007, methodology): “In regression analysis, interaction terms (cf. Jaccard 2001) are used to determine how strongly the influence of a particular independent variable (the ‘focal’ independent) depends on the value of a second independent variable (the ‘moderator’ independent).”
- Materiality Judgments and the Resolution of Detected Misstatements: The Role of Managers, Auditors, and Audit Committees (2012, methodology): “12 Our dichotomous measurement is consistent with Johnson et al. (2002) and Carcello and Nagy (2004).”
- Inmate Social Ties and the Transition to Society (2008, methodology): “In these instances, we conducted interactional analyses to assess whether such effects were statistically significant (Jaccard 2001).”
- Do protest responses to a contingent valuation question and a choice experiment differ? (2008, methodology): “Therefore, we estimated a single logit equation additionally including the main effect of METHOD (valuation method used with 1 = choice experiment, 0 = contingent valuation) and the interaction term “METHOD * PROTEST” (see, for example, Jaccard 2001 ).”
- You've got mail: Using e-mail to examine the effect of prejudiced attitudes on discrimination against Arabs (2004, methodology): “Three-way interaction The three-way interaction involves a focal independent variable, a first-order moderator, and a secondorder moderator (Jaccard, 2001).”
- Why Do More Women than Men Want to Earn a Four-Year Degree? Exploring the Effects of Gender, Social Origin, and Social Capital on Educational Expectations (2011, background): “The “main” effects in Table 3, however, are actually conditioned effects rather than true overall main effects, due to the inclusion of interaction terms (see Jaccard, 2001).”
- Effects of Firm R&D Investment and Environment on Acquisition Likelihood* (2006, neutral): “To further interpret the interaction effects (see Jaccard, 2001), we consider how the effect of R&D stock on the predicted odds of being acquired changes given a one standard deviation increase in the environment scores.”
- PROCESS : A Versatile Computational Tool for Observed Variable Mediation , Moderation , and Conditional Process Modeling 1 (2012, background): “, Aiken & West, 1991; Jaccard & Turrisi, 2003). The goal of mediation analysis is to establish the extent to which some putative causal variable X influences some outcome Y through one or more mediator variables. For example, there is evidence that violent video game play can enhance the likelihood ”
- Stepping Stones to a Degree: The Impact of Enrollment Pathways and Milestones on Community College Student Outcomes (2007, methodology): “We used the coefficient on older students and the interaction term to compute the impact of the milestone that is specific to older students (Jaccard, 2001).”
- Financial Aid and Student Dropout in Higher Education: A Heterogeneous Research Approach (2008, methodology): “In order to avoid a “main effects” bias, researchers need to incorporate a formal statistical test for the difference between the coefficients for different groups (Jaccard, 2001).”