2019
DOI: 10.1111/spc3.12487
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Addressing two blind spots of commonly used experimental designs: The Highly‐Repeated Within‐Person approach

Abstract: Two well documented but still neglected blind spots of often‐used study designs limit a researcher's ability to make inferences about psychological phenomenon. First, typical designs focus on effects of conditions at the group level and are not able to assess the extent to which effects characterize each participant in the study. This blind spot can lead to erroneous (or incomplete) conclusions about the effects of manipulations both for a given participant and at the group level. Second, commonly used researc… Show more

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Cited by 12 publications
(12 citation statements)
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“…Predominantly, research designs used in sport science studies focus on effects observed at the group level and are limited in their ability to identify the extent to which effects apply to each participant in the study. This approach to research design and data analysis can promote erroneous and problematic conclusions about the effects of specific variables both for an individual participant and by extension to the group 33 . Specifically, the variability of affective responses across both intra‐ and inter‐personal comparisons can increase the likelihood of incomplete deductions being made from analyses conducted solely at the group level 34 .…”
Section: Discussionmentioning
confidence: 99%
“…Predominantly, research designs used in sport science studies focus on effects observed at the group level and are limited in their ability to identify the extent to which effects apply to each participant in the study. This approach to research design and data analysis can promote erroneous and problematic conclusions about the effects of specific variables both for an individual participant and by extension to the group 33 . Specifically, the variability of affective responses across both intra‐ and inter‐personal comparisons can increase the likelihood of incomplete deductions being made from analyses conducted solely at the group level 34 .…”
Section: Discussionmentioning
confidence: 99%
“…Using repeated-measures within-person designs that collect multiple observations of the same construct (e.g., anxiety) in response to the same situational features (e.g., crowds, or economic reminders) would increase statistical power and help identify psychological triggers of the PSYCHOLOGICAL SCIENCE IN THE WAKE OF COVID-19 40 pandemic (e.g., conservatives may be more reactive to economic insecurities, and liberals more reactive to health insecurities) as well as key individual-difference factors (Zayas, et al, 2019).…”
Section: Person-environment Interactionmentioning
confidence: 99%
“…For example, whether a person feels included or excluded is a feature that may be best captured on a continuum (Löckenhoff, Cook, Anderson, & Zayas, 2012). Moreover, the effect of some features, like arousal, are nonlinear (Duffy, 1957); so simply assessing behaviors as they occur in two situations that represent the end points of this continuum (low vs. high arousal) might fail to detect important the effect of situational features on behavior (Zayas, Sridharan, R.T. Lee, & Shoda, 2019). Fourth, and not least, how exactly can researchers use observable if…then… profiles to enhance understanding of underlying psychological processes (i.e., a person's CAPS network) without falling prey to the propositional fallacy of affirming the consequent.…”
Section: A Contemporary Approach To Conceptualizing If…then… Profilesmentioning
confidence: 99%
“…Lee, 2009;LeeTiernan, 2002;Shoda, 1999Shoda, , 2004Shoda & LeeTiernan, 2002;Shoda, et al, 1994;Whitsett & Shoda, 2014;Wilson, 2008;Zayas & Shoda, 2007). For example, in one study (see Sridharan, 2015;Zayas et al, 2019), participants were presented with numerous anti-smoking messages, which had been collected from the internet, and their attitudes towards smoking were assessed after viewing each message. The anti-smoking messages were actual messages used in various anti-smoking campaigns.…”
Section: Data-driven "Bottom-up" Approachmentioning
confidence: 99%
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