Computational procedures for probing interactions in OLS and logistic regression: SPSS and SAS implementations

By Andrew F. Hayes, Jörg Matthes. Behavior Research Methods, 2009

2,468 citations recorded by the source corpus.

Subfields: Experimental and Cognitive Psychology, Food Science

View Paper: https://www.semanticscholar.org/paper/c982a3523a31f6ed6b363bb81078322c71a9edb0

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In Experimental and Cognitive Psychology

In Food Science

Citations in the corpus

Exploring Beliefs About Bottled Water and Intentions to Reduce Consumption The Dual-Effect of Social Norm Activation and Persuasive Information (2015, methodology): “Johnson-Neyman (J-N) procedure (Huitema, 1980; Hayes and Matthes, 2009).”
On the Psychology of Scarcity: When Reminders of Resource Scarcity Promote Selfish (and Generous) Behavior (2015, background): “…of social value orientation on the effect of reminders of resource scarcity on allocation behavior, we regressed the amount of money allocated to the other player on (i) scarcity (dummy coded: -1¼ control, 1¼ scarcity), (ii) SVO (continuous measure), and their interaction (Hayes and Matthes 2009).”
All That Glitters Is Not Gold: How Others’ Status Influences the Effect of Power Distance Belief on Status Consumption (2016, positive): “Additionally, to identify the range of PDB for which the simple effect of other’s status was significant, we used the Johnson-Neyman technique (MPDB ¼ 3.89, SD¼ 1.03; Hayes and Matthes 2009).”
The Median Split: Robust, Refined, and Revived (2015, background): “…Fitzsimons, Lynch, and McClelland (2013) showed how to use the broader logic of confidence regions (geometric-based confidence intervals, also see Hayes & Matthes, 2009), and Fitzsimons (2008) performed a valuable service by reminding researchers of the utility of regression when considering…”
Positive and extensive intergroup contact in the past buffers against the disproportionate impact of negative contact in the present (2014, methodology): “The MODPROBE computational procedure (Hayes & Matthes, 2009) was used again to test for basic valence-salience effects and for moderation by past outgroup contact—this analytical approach was used in all remaining experiments.”
Consumers' green involvement and the persuasive effects of emotional versus functional ads (2014, neutral): “…this interaction, an additional analysis probes the effect of functional appeals at low (one SD below the mean), moderate (at the mean) and high (one SD above the mean) levels of green purchase behavior using manifest variables (i.e., not by splitting the sample, see Hayes & Matthes, 2009).”
Spotlights, Floodlights, and the Magic Number Zero: Simple Effects Tests in Moderated Regression (2012, positive): “Now macros for SPSS, SAS, and R (Hayes 2012; Hayes and Matthes 2009; Preacher et al. 2006)4 make computing Johnson–Neyman points feasible for any researcher.”
Who or What to Believe: Trust and the Differential Persuasiveness of Human and Anthropomorphized Messengers (2015, background): “…or floodlight analysis, for identifying regions in the range of the moderator variable (interpersonal trust) in which the effect of the independent variable (messenger type) on the dependent variable (persuasion) is significant (Hayes and Matthes 2009; Johnson and Neyman 1936; Spiller et al. 2013).”
The Effects of Environmental Brand Attributes and Nature Imagery in Green Advertising (2018, methodology): “To further analyse this interaction, the effect of the combined nature ad at all levels of environmental concern (i.e. not by splitting the sample) was investigated (see Hayes & Matthes, 2009).”
Gratitude and Well‐Being: Who Benefits the Most from a Gratitude Intervention? (2011, methodology): “Using the MODPROBE macro for SPSS (see Hayes & Matthes, 2009), we found an interaction effect, b = 3.18, t(42) = 2.34, p = .02, for Satisfaction with Life (see Figure 1).”
Self-Critical Perfectionism, Acculturative Stress, and Depression Among International Students (2012, methodology): “We used the MODPROBE SPSS macro developed by Hayes and Matthes (2009) to explore the significant interaction effect.”