Individual differences in strength of category-based relations vs. event-based relations

2011 ◽  
Author(s):  
D. Mirman ◽  
K. M. Graziano
2013 ◽  
Vol 38 (1) ◽  
pp. 52-61 ◽  
Author(s):  
Lavinia Cheie ◽  
Mircea Miclea ◽  
Laura Visu-Petra

Prospective memory (PM) refers to remembering to perform a previously planned action at the appropriate time or in the appropriate context. The present study investigated the effects of individual differences in age and trait anxiety on PM performance in 3–5- and 5–7-year-olds. Two types of PM measures were used: an event-based task, requiring ongoing activity interruption across two conditions (with/without memory aid), and an activity-based task, requiring PM action implementation after the main activity was finalized. On the event-based PM task, we found that: all children benefited from the external memory aid; the 5–7-year-old group outperformed the 3–5-year-olds; and higher levels of anxiety negatively affected only the younger age group. On the activity-based PM task, we found no significant age-group differences, while higher anxiety negatively predicted children’s PM performance. Findings support and extend the literature on early PM development, revealing the benefits of external cueing and the potential detrimental effects of anxiety.


2009 ◽  
Author(s):  
Gene A. Brewer ◽  
Justin B. Knight ◽  
Gregory J. Spillers ◽  
Nash Unsworth ◽  
Richard L. Marsh

2011 ◽  
Vol 219 (2) ◽  
pp. 108-116 ◽  
Author(s):  
Rebekah E. Smith ◽  
Deborah Persyn ◽  
Patrick Butler

Prospective memory (PM) involves remembering to perform an action in the future. The current study applies a multinomial model to investigate the contribution of individual differences in personality, as well as individual differences in working memory (WM) span, to performance in an event-based PM task. The model includes a parameter P that measures the prospective component, or remembering that something is to be done. The model also includes a parameter M that measures the ability to discriminate between target and non-target events, part of the retrospective component of PM tasks. The model has been applied to investigate the effects of WM variability in just one prior study, but has not been used in previous investigations of personality and PM. WM span and the personality dimension of conscientiousness showed differences between the higher and lower groups in PM performance. Modeling results showed that individuals higher in conscientiousness had higher estimate of M relative to individuals lower on the conscientiousness dimension. Conscientiousness did not affect the P parameter. In contrast, individuals with higher WM span scores had higher estimates of P relative to individuals with lower span scores, but the two WM groups did not differ in terms of parameter M.


10.2196/15430 ◽  
2020 ◽  
Vol 8 (10) ◽  
pp. e15430 ◽  
Author(s):  
Katrin Ziesemer ◽  
Laura Maria König ◽  
Carol Jo Boushey ◽  
Karoline Villinger ◽  
Deborah Ronja Wahl ◽  
...  

Background Establishing a methodology for assessing nutritional behavior comprehensively and accurately poses a great challenge. Mobile technologies such as mobile image-based food recording apps enable eating events to be assessed in the moment in real time, thereby reducing memory biases inherent in retrospective food records. However, users might find it challenging to take images of the food they consume at every eating event over an extended period, which might lead to incomplete records of eating events (missing events). Objective Analyzing data from 3 studies that used mobile image-based food recording apps and varied in their technical enrichment, this study aims to assess how often eating events (meals and snacks) were missed over a period of 8 days in a naturalistic setting by comparing the number of recorded events with the number of normative expected events, over time, and with recollections of missing events. Methods Participants in 3 event-based Ecological Momentary Assessment (EMA) studies using mobile image-based dietary assessments were asked to record all eating events (study 1, N=38, 1070 eating events; study 2, N=35, 934 eating events; study 3, N=110, 3469 eating events). Study 1 used a basic app; study 2 included 1 fixed reminder and the possibility to add meals after the actual eating events occurred instead of in the moment (addendum); and study 3 included 2 fixed reminders, an addendum feature, and the option to record skipped meals. The number of recalled missed events and their reasons were assessed by semistructured interviews after the EMA period (studies 1 and 2) and daily questionnaires (study 3). Results Overall, 183 participants reported 5473 eating events. Although the momentary adherence rate as indexed by a comparison with normative expected events was generally high across all 3 studies, a differential pattern of results emerged with a higher rate of logged meals in the more technically intensive study 3. Multilevel models for the logging trajectories of reported meals in all 3 studies showed a significant, albeit small, decline over time (b=−.11 to −.14, Ps<.001, pseudo-R²=0.04-0.06), mainly because of a drop in reported snacks between days 1 and 2. Intraclass coefficients indicated that 38% or less of the observed variance was because of individual differences. The most common reasons for missing events were competing activities and technical issues, whereas situational barriers were less important. Conclusions Three different indicators (normative, time stability, and recalled missing events) consistently indicated missing events. However, given the intensive nature of diet EMA protocols, the effect sizes were rather small and the logging trajectories over time were remarkably stable. Moreover, the individual’s actual state and context seemed to exert a greater influence on adherence rates than stable individual differences, which emphasizes the need for a more nuanced understanding of the factors that affect momentary adherence.


Author(s):  
Katrin Ziesemer ◽  
Laura Maria König ◽  
Carol Jo Boushey ◽  
Karoline Villinger ◽  
Deborah Ronja Wahl ◽  
...  

BACKGROUND Establishing a methodology for assessing nutritional behavior comprehensively and accurately poses a great challenge. Mobile technologies such as mobile image-based food recording apps enable eating events to be assessed in the moment in real time, thereby reducing memory biases inherent in retrospective food records. However, users might find it challenging to take images of the food they consume at every eating event over an extended period, which might lead to incomplete records of eating events (<i>missing events</i>). OBJECTIVE Analyzing data from 3 studies that used mobile image-based food recording apps and varied in their technical <i>enrichment</i>, this study aims to assess how often eating events (meals and snacks) were missed over a period of 8 days in a naturalistic setting by comparing the number of recorded events with the number of normative expected events, over time, and with recollections of missing events. METHODS Participants in 3 event-based Ecological Momentary Assessment (EMA) studies using mobile image-based dietary assessments were asked to record all eating events (study 1, N=38, 1070 eating events; study 2, N=35, 934 eating events; study 3, N=110, 3469 eating events). Study 1 used a <i>basic</i> app; study 2 included 1 fixed reminder and the possibility to add meals after the actual eating events occurred instead of in the moment (<i>addendum</i>); and study 3 included 2 fixed reminders, an addendum feature, and the option to record skipped meals. The number of recalled missed events and their reasons were assessed by semistructured interviews after the EMA period (studies 1 and 2) and daily questionnaires (study 3). RESULTS Overall, 183 participants reported 5473 eating events. Although the momentary adherence rate as indexed by a comparison with normative expected events was generally high across all 3 studies, a differential pattern of results emerged with a higher rate of logged meals in the more technically intensive study 3. Multilevel models for the logging trajectories of reported meals in all 3 studies showed a significant, albeit small, decline over time (b=−.11 to −.14, <i>P</i>s&lt;.001, pseudo-R²=0.04-0.06), mainly because of a drop in reported snacks between days 1 and 2. Intraclass coefficients indicated that 38% or less of the observed variance was because of individual differences. The most common reasons for missing events were competing activities and technical issues, whereas situational barriers were less important. CONCLUSIONS Three different indicators (normative, time stability, and recalled missing events) consistently indicated missing events. However, given the intensive nature of diet EMA protocols, the effect sizes were rather small and the logging trajectories over time were remarkably stable. Moreover, the individual’s actual state and context seemed to exert a greater influence on adherence rates than stable individual differences, which emphasizes the need for a more nuanced understanding of the factors that affect momentary adherence.


2018 ◽  
Vol 41 ◽  
Author(s):  
Benjamin C. Ruisch ◽  
Rajen A. Anderson ◽  
David A. Pizarro

AbstractWe argue that existing data on folk-economic beliefs (FEBs) present challenges to Boyer & Petersen's model. Specifically, the widespread individual variation in endorsement of FEBs casts doubt on the claim that humans are evolutionarily predisposed towards particular economic beliefs. Additionally, the authors' model cannot account for the systematic covariance between certain FEBs, such as those observed in distinct political ideologies.


2019 ◽  
Vol 42 ◽  
Author(s):  
Peter C. Mundy

Abstract The stereotype of people with autism as unresponsive or uninterested in other people was prominent in the 1980s. However, this view of autism has steadily given way to recognition of important individual differences in the social-emotional development of affected people and a more precise understanding of the possible role social motivation has in their early development.


2018 ◽  
Vol 41 ◽  
Author(s):  
Kevin Arceneaux

AbstractIntuitions guide decision-making, and looking to the evolutionary history of humans illuminates why some behavioral responses are more intuitive than others. Yet a place remains for cognitive processes to second-guess intuitive responses – that is, to be reflective – and individual differences abound in automatic, intuitive processing as well.


2019 ◽  
Vol 42 ◽  
Author(s):  
Emily F. Wissel ◽  
Leigh K. Smith

Abstract The target article suggests inter-individual variability is a weakness of microbiota-gut-brain (MGB) research, but we discuss why it is actually a strength. We comment on how accounting for individual differences can help researchers systematically understand the observed variance in microbiota composition, interpret null findings, and potentially improve the efficacy of therapeutic treatments in future clinical microbiome research.


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