Suitability of Event-Based Prompts in Experience Sampling Studies Focusing on Location Changes

2018 ◽  
pp. 163-168
Author(s):  
Anja Exler ◽  
Sebastian Kramer ◽  
Miguel Angel Meza Martínez ◽  
Christian Navolskyi ◽  
Michael Vogt ◽  
...  
Keyword(s):  
Experience Sampling ◽  
Sampling Studies ◽  
Event Based

scholarly journals The Incremental Validity of Average States: A Replication and Extension of Finnigan and Vazire (2018)

2021 ◽  
Author(s):  
Simon Mats Breil ◽  
Paula Schweppe ◽  
Katharina Geukes ◽  
Jeremy Charles Biesanz ◽  
Martin Quintus ◽  
...  
Keyword(s):  
Experience Sampling ◽  
Objective Measure ◽  
Multiple Time ◽  
Total N ◽  
Sampling Studies ◽  
Self Reports ◽  
Method Effects ◽  
Multiple Time Points ◽  
Event Based ◽  
Source Of Information

States refer to our momentary thoughts, feelings, and behaviors. Average states (aggregates across multiple time points) are discussed as a more accurate and objective measure of personality compared to global self-reports since they do not only rely on people’s general beliefs about themselves. Specifically, Finnigan and Vazire (2018) argued that, if average states better capture what a person is actually like, this should be reflected in their unique association with informant-reports of personality, and tested this idea based on two experience-sampling studies. Their results showed, however, that average self-reported states did not predict global informant-reported personality above and beyond global self-reports. In this research, we aimed at replicating and extending these results. We used data of five studies (total N = 806) that involved global self- and informant-reports and employed a variety of different experience-sampling methods (time-based with different sampling schedules, event-based). Across all studies, the original results (i.e., no incremental effects of average self-reported states) were replicated. Furthermore, as an extension to the original study, we found that average other-reported states (provided by peers, results based on one study) did indeed predict global informant-reports above and beyond global self-reports. These findings highlight the importance of differentiating between method effects (global reports vs. average states) from source of information effects (self vs. other). We discuss these results, focusing on the suitability of using informant-reports as a criterion variable and conceptual differences between assessment methods.

Beliefs about stressors alter stressors’ impact: Evidence from two experience-sampling studies

2006 ◽  
Vol 59 (9) ◽  
pp. 1261-1285 ◽  
Author(s):  
Kevin Daniels ◽  
Ruth Hartley ◽  
Cheryl J. Travers
Keyword(s):  
Experience Sampling ◽  
Sampling Studies

Recommendations for Reporting Sample and Measurement Information in Experience Sampling Studies

2021 ◽  
Author(s):  
Eric D. Heggestad ◽  
Liana Kreamer ◽  
Mary M. Hausfeld ◽  
Charmi Patel ◽  
Steven G. Rogelberg
Keyword(s):  
Experience Sampling ◽  
Measurement Information ◽  
Sampling Studies

scholarly journals Zooming into Real-Life Extraversion – How Personality and Situation Shape Sociability in Social Interactions

2016 ◽  
Author(s):  
Simon Mats Breil ◽  
Katharina Geukes ◽  
Robert Edmund Wilson ◽  
Steffen Nestler ◽  
Simine Vazire ◽  
...  
Keyword(s):  
Social Interactions ◽  
Specific Interaction ◽  
Real Life ◽  
Interaction Effects ◽  
Complex Interplay ◽  
Sampling Studies ◽  
Social Perspectives ◽  
Context Shape ◽  
Event Based ◽  
Main Effects

Here, we provide you with supplemental material (additional tables, data, R-Codes) and a Preprint to the manuscript "Zooming into Real-Life Extraversion - How Personality and Context Shape Sociability in Social Interactions" by Breil et al. (under review). Abstract:What predicts sociable behavior? While main effects of personality and situation characteristics on sociability are well established, the determinants of sociable behavior within real-life social interactions are understudied. Moreover, although such effects are often hypothesized, there is to date little evidence of person-situation interaction effects. Finally, previous research focused on self-reported behavior ratings, and less is known on the partner’s social perspective, i.e. how partners perceive and influence an actor’s behavior. In the current research we investigated predictors of sociable behavior in real-life social interactions across social perspectives, including person and situation main effects as well as person-situation interaction effects. In two experience-sampling studies (Study 1: N = 394, US, time-based; Study 2: N = 124, Germany, event-based), we assessed personality traits with self- and informant reports, self-reported sociable behavior during real-life social interaction, and corresponding information on the situation (dimensional ratings of situation characteristics and categorical situation classifications). In Study 2, we additionally assessed interaction partner-reported behavior. Multilevel analyses provided consistent evidence for main effects of personality and situation features, and for person-situation interaction effects. First, extraverts acted more sociable in general. Second, individuals behaved more sociable in hedonic/positive/low-duty situations (vs. eudaimonic/negative/high-duty situations). Third, the latter was particularly true for extraverts. Further specific interaction effects were found for the other social perspectives. These results are discussed regarding the complex interplay of persons and situations in shaping human behavior.

scholarly journals Zooming into Real-Life Extraversion – how Personality and Situation Shape Sociability in Social Interactions

2019 ◽  
Vol 5 (1) ◽  
Author(s):  
Simon M. Breil ◽  
Katharina Geukes ◽  
Robert E. Wilson ◽  
Steffen Nestler ◽  
Simine Vazire ◽  
...  
Keyword(s):  
Social Interactions ◽  
Specific Interaction ◽  
Real Life ◽  
Interaction Effects ◽  
Behavioral Models ◽  
Social Perspective ◽  
Sampling Studies ◽  
Social Perspectives ◽  
Event Based ◽  
Main Effects

What predicts sociable behavior? While main effects of personality and situation characteristics on sociability are well established, there is little evidence for the existence of person-situation interaction effects within real-life social interactions. Moreover, previous research has focused on self-reported behavior ratings, and less is known about the partner’s social perspective, i.e. how partners perceive and influence an actor’s behavior. In the current research, we investigated predictors of sociable behavior in real-life social interactions across social perspectives, including person and situation main effects as well as person-situation interaction effects. In two experience-sampling studies (Study 1: N = 394, US, time-based; Study 2: N = 124, Germany, event-based), we assessed personality traits with self- and informant-reports, self-reported sociable behavior during real-life social interactions, and corresponding information on the situation (categorical situation classifications and dimensional ratings of situation characteristics). In Study 2, we additionally assessed interaction partner-reported actor behavior. Multilevel analyses provided evidence for main effects of personality and situation features, as well as small but consistent evidence for person-situation interaction effects. First, extraverts acted more sociable in general. Second, individuals behaved more sociable in low-effort/positive/low-duty situations (vs. high-effort/negative/high-duty situations). Third, the latter was particularly true for extraverts. Further specific interaction effects were found for the partner’s social perspective. These results are discussed regarding their accordance with different behavioral models (e.g., Trait Activation Theory) and their transferability to other behavioral domains.

Does suppressing negative emotion impair subsequent emotions? Two experience sampling studies

2019 ◽  
Vol 44 (3) ◽  
pp. 427-435 ◽  
Author(s):  
Yan Ruan ◽  
Harry T. Reis ◽  
Wojciech Zareba ◽  
Richard D. Lane
Keyword(s):  
Negative Emotion ◽  
Experience Sampling ◽  
Sampling Studies

Differentiate to Regulate: Low Negative Emotion Differentiation Is Associated With Ineffective Use but Not Selection of Emotion-Regulation Strategies

2019 ◽  
Vol 30 (6) ◽  
pp. 863-879 ◽  
Author(s):  
Elise K. Kalokerinos ◽  
Yasemin Erbas ◽  
Eva Ceulemans ◽  
Peter Kuppens
Keyword(s):  
Emotion Regulation ◽  
Negative Emotion ◽  
Experience Sampling ◽  
Well Being ◽  
Emotion Regulation Strategies ◽  
Emotion Differentiation ◽  
Sampling Studies ◽  
Regulation Strategies ◽  
Selection Of

Emotion differentiation, which involves experiencing and labeling emotions in a granular way, has been linked with well-being. It has been theorized that differentiating between emotions facilitates effective emotion regulation, but this link has yet to be comprehensively tested. In two experience-sampling studies, we examined how negative emotion differentiation was related to (a) the selection of emotion-regulation strategies and (b) the effectiveness of these strategies in downregulating negative emotion ( Ns = 200 and 101 participants and 34,660 and 6,282 measurements, respectively). Unexpectedly, we found few relationships between differentiation and the selection of putatively adaptive or maladaptive strategies. Instead, we found interactions between differentiation and strategies in predicting negative emotion. Among low differentiators, all strategies (Study 1) and four of six strategies (Study 2) were more strongly associated with increased negative emotion than they were among high differentiators. This suggests that low differentiation may hinder successful emotion regulation, which in turn supports the idea that effective regulation may underlie differentiation benefits.

Capturing Affective Experiences using the SMS Experience Sampling (SMS-ES) method

2011 ◽  
Vol 53 (4) ◽  
pp. 479-506 ◽  
Author(s):  
Lynda Andrews ◽  
Rebekah Russell Bennett ◽  
Judy Drennan
Keyword(s):  
Repeated Measures ◽  
Experience Sampling ◽  
Practical Implementation ◽  
Short Message ◽  
Quality Of Data ◽  
Sampling Studies ◽  
For Profit ◽  
Affective Experiences ◽  
Methodological Considerations ◽  
Message System

This paper reports the feasibility and methodological considerations of using the Short Message System Experience Sampling (SMS-ES) method, which is an experience sampling research method developed to assist researchers to collect repeat measures of consumers' affective experiences. The method combines SMS with web-based technology in a simple yet effective way. It is described using a practical implementation study that collected consumers' emotions in response to using mobile phones in everyday situations. The method is further evaluated in terms of the quality of data collected in the study, as well as against the methodological considerations for experience sampling studies. These two evaluations suggest that the SMS-ES method is both a valid and reliable approach for collecting consumers' affective experiences. Moreover, the method can be applied across a range of for-profit and not-for-profit contexts where researchers want to capture repeated measures of consumers' affective experiences occurring over a period of time. The benefits of the method are discussed, to assist researchers who wish to apply the SMS-ES method in their own research designs.

scholarly journals Measuring motivational relationship processes in experience sampling: A reliability model for moments, days, and persons nested in couples

2021 ◽  
Author(s):  
Felix D. Schönbrodt ◽  
Caroline Zygar-Hoffmann ◽  
Steffen Nestler ◽  
Sebastian Pusch ◽  
Birk Hagemeyer
Keyword(s):  
Variance Components ◽  
Generalizability Theory ◽  
Relative Proportion ◽  
Experience Sampling ◽  
Process Models ◽  
Sampling Studies ◽  
Reliable Assessment ◽  
Relationship Processes ◽  
Level Scale ◽  
Variance Estimates

AbstractThe investigation of within-person process models, often done in experience sampling designs, requires a reliable assessment of within-person change. In this paper, we focus on dyadic intensive longitudinal designs where both partners of a couple are assessed multiple times each day across several days. We introduce a statistical model for variance decomposition based on generalizability theory (extending P. E. Shrout & S. P. Lane, 2012), which can estimate the relative proportion of variability on four hierarchical levels: moments within a day, days, persons, and couples. Based on these variance estimates, four reliability coefficients are derived: between-couples, between-persons, within-persons/between-days, and within-persons/between-moments. We apply the model to two dyadic intensive experience sampling studies (n1 = 130 persons, 5 surveys each day for 14 days, ≥ 7508 unique surveys; n2 = 508 persons, 5 surveys each day for 28 days, ≥ 47764 unique surveys). Five different scales in the domain of motivational processes and relationship quality were assessed with 2 to 5 items: State relationship satisfaction, communal motivation, and agentic motivation; the latter consists of two subscales, namely power and independence motivation. Largest variance components were on the level of persons, moments, couples, and days, where within-day variance was generally larger than between-day variance. Reliabilities ranged from .32 to .76 (couple level), .93 to .98 (person level), .61 to .88 (day level), and .28 to .72 (moment level). Scale intercorrelations reveal differential structures between and within persons, which has consequences for theory building and statistical modeling.

scholarly journals Recalling Experiences: Looking at Momentary, Retrospective and Global Assessments of Relationship Satisfaction

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Caroline Zygar-Hoffmann ◽  
Felix D. Schönbrodt
Keyword(s):  
Relationship Satisfaction ◽  
Experience Sampling ◽  
Global Evaluation ◽  
Summary Statistics ◽  
Recall Bias ◽  
Sampling Studies ◽  
The Mean ◽  
The Difference ◽  
The Relationship ◽  
Momentary State

Relationship satisfaction can be assessed in retrospection, as a global evaluation, or as a momentary state. In two experience sampling studies (N = 130, N = 510) the specificities of these assessment modalities are examined. We show that 1) compared to other summary statistics like the median, the mean of relationship satisfaction states describes retrospective and global evaluations best (but the difference to some other summary statistics was negligible); 2) retrospection introduces an overestimation of the average annoyance in the relationship reported on a momentary basis, which results in an overall negative mean-level bias for retrospective relationship satisfaction; 3) this bias is most strongly moderated by global relationship satisfaction at the time of retrospection; 4) snapshots of momentary relationship satisfaction get representative of global evaluations after approximately two weeks of sampling. The findings extend the recall bias reported in the literature for retrospection of negative affect to the domain of relationship evaluations and assist researchers in designing efficient experience sampling studies.

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