What moderates implicit—explicit consistency?
By Wilhelm Hofmann, Tobias Gschwendner, Brian A. Nosek, Manfred J. Schmitt. 2005
214 citations recorded by the source corpus.
Subfields: Gender Studies, Social Psychology, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/6c01a8e2c4a380002041aaa7ac1afdee976a72b1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Gender Studies
- Bertram Gawronski
- Etienne P LeBel
- Brian A. Nosek
- Jonathon D. Brown
- A. Greenwald
- Jordan R. Axt
- Brian K. Payne
- Peter Vorderer
In Social Psychology
- Bertram Gawronski
- Brian A. Nosek
- A. Greenwald
- Brian K. Payne
- Etienne P LeBel
- Jordan R. Axt
- Nilanjana Dasgupta
- J. Hansen
In Sociology and Political Science
- Bertram Gawronski
- Brian A. Nosek
- A. Greenwald
- Brian K. Payne
- Jordan R. Axt
- Etienne P LeBel
- J. Hansen
- Jonathon D. Brown
Citations in the corpus
- The effects of an imagery intervention on implicit and explicit exercise attitudes (2015, background): “The expected corresponding effect for implicit and explicit affective attitudes was based on the findings of greater consistency between explicit measures and IAT scores when the explicit measures assess affective rather than cognitive evaluations (Hofmann et al., 2005a).”
- Implicit and explicit prejudice in the 2008 American presidential election (2010, unknown): “Although early studies often showed small or absent implicit–explicit correlations, later studies using highly reliable measures and well-powered studies have tended to find significant relationships, although the size of the correlation varies dramatically based on a variety of moderators (e.g., H”
- The Best Way to Measure Explicit Racial Attitudes Is to Ask About Them (2018, background): “Indeed, meta-analyses have found that increased conceptual correspondence between measures was associated with larger correlations between implicit and explicit attitudes (Hofmann et al., 2005) and between implicit attitudes and behavior (Greenwald, Poehlman, Uhlmann, & Banaji, 2009).”
- A History of Implicit Social Cognition Where Is It Coming From? Where Is It Now? Where Is It Going? (2010, background): “Cunningham, Preacher, and Banaji (2001) demonstrated that when latent variable analyses were used to correct for measurement error, the correlation between directly and indirectly assessed racial attitudes was quite substantial (see also Hofmann et al., 2005b ).”
- High self-esteem buffers negative feedback: Once more with feeling (2010, background): “Several researchers have considered this issue and concluded that implicit attitude measures more reliably assess affective associations than cognitive ones (Gawronski & Bodenhausen, 2006 ; Hofmann, Gawronski, Gschwendner, Le, & Schmitt, 2005 ; Hofmann, Gschwendner, Nosek, & Schmitt, 2005 ).”
- Identification With Video Game Characters as Automatic Shift of Self-Perceptions (2010, background): “Hofmann et al. (2005) provide an extensive review of factors that can moderate the implicit– explicit relationship and can deplete correlations among according measures.”
- Ten Frequently Asked Questions About Implicit Measures and Their Frequently Supposed, But Not Entirely Correct Answers (2009, background): “However, low correlations to selfreport measures can be due to a number of reasons other than lack of introspective access, including measurement error (e.g., Cunningham et al., 2001), lack of conceptual correspondence (e.g., Hofmann et al. 2005a; see also Payne, Burkley, & Stokes, 2008), self-prese”
- Will the Real Moral Judgment Please Stand Up? (2009, background): “example, Hofmann et al. 2005; Nosek 2007, for data and discussions of the parameters that influence discrepancy between the two types of measure).”
- Understanding patterns of attitude change: When implicit measures show change, but explicit measures do not ☆ (2008, methodology): “Similarly, Karpinski and Hilton (2001) found that repetitive combinations of the words youth and elderly with positive and negative words influenced only implicit but not explicit measures of preferences for young over old.”
- The associations in our heads belong to us: Searching for attitudes and knowledge in implicit evaluation (2008, background): “…Greenwald, & Banaji, 2006a; Nosek & Smyth, 2007), there appear to be multiple moderating influences on the relationship between implicit and explicit evaluation (Hofmann et al., 2005; Nosek, 2005), and they appear to have distinct predictive validity (Poehlman, Uhlmann, Greenwald, & Banaji, 2007).”
- How to find what's in a name: Scrutinizing the optimality of five scoring algorithms for the name‐letter task (2009, background): “Alternatively, one could investigate whether previously identified moderators of explicit–implicit relations (see Hofmann et al., 2005b) influence the relation between I-scored NLT and RSES scores in a more consistent fashion.”