SEO: A Scientific Events Data Model

Effects of Momentary Affect on Satisfaction Judgments

Journal of Individual Differences ◽

10.1027/1614-0001/a000304 ◽

2020 ◽

Vol 41 (2) ◽

pp. 61-67

Author(s):

Marko Tončić ◽

Petra Anić

Keyword(s):

Linear Models ◽

Time Frame ◽

Hierarchical Linear Models ◽

Curvilinear Relationship ◽

Positive And Negative Affect ◽

Transient Events ◽

Time Frames ◽

Events Data ◽

Level Satisfaction ◽

Source Of Information

Abstract. This study aims to examine the effect of affect on satisfaction, both at the between- and the within-person level for momentary assessments. Affect is regarded as an important source of information for life satisfaction judgments. This affective effect on satisfaction is well established at the dispositional level, while at the within-person level it is heavily under-researched. This is true especially for momentary assessments. In this experience sampling study both mood and satisfaction scales were administered five times a day for 7 days via hand-held devices ( N = 74 with 2,122 assessments). Several hierarchical linear models were fitted to the data. Even though the amount of between-person variance was relatively low, both positive and negative affect had substantial effects on momentary satisfaction on the between- and the within-person level as well. The within-person effects of affect on satisfaction appear to be more pronounced than the between-person ones. At the momentary level, the amount of between-person variance is lower than in studies with longer time-frames. The affect-related effects on satisfaction possibly have a curvilinear relationship with the time-frame used, increasing in intensity up to a point and then decreasing again. Such a relationship suggests that, at the momentary level, satisfaction might behave in a more stochastic manner, allowing for transient events/data which are not necessarily affect-related to affect it.

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Decision Making in Team Sports: Data, model and applied perspective

PsycEXTRA Dataset ◽

10.1037/e509992008-001 ◽

2008 ◽

Author(s):

Pedro J. M. Passos ◽

Duarte Araujo ◽

Keith Davids ◽

Ana Diniz ◽

Luis Gouveia ◽

...

Keyword(s):

Decision Making ◽

Data Model ◽

Team Sports ◽

Sports Data

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A Qualified Assertion Database for the History of Places

International Journal of Humanities and Arts Computing ◽

10.3366/ijhac.2019.0233 ◽

2019 ◽

Vol 13 (1-2) ◽

pp. 95-115

Author(s):

Brandon Plewe

Keyword(s):

Data Model ◽

Temporal Change ◽

Religious Congregations ◽

Historical Gis ◽

The Past ◽

Model Based ◽

Complex Information ◽

Invaluable Tool ◽

History Of ◽

The Rich

Historical place databases can be an invaluable tool for capturing the rich meaning of past places. However, this richness presents obstacles to success: the daunting need to simultaneously represent complex information such as temporal change, uncertainty, relationships, and thorough sourcing has been an obstacle to historical GIS in the past. The Qualified Assertion Model developed in this paper can represent a variety of historical complexities using a single, simple, flexible data model based on a) documenting assertions of the past world rather than claiming to know the exact truth, and b) qualifying the scope, provenance, quality, and syntactics of those assertions. This model was successfully implemented in a production-strength historical gazetteer of religious congregations, demonstrating its effectiveness and some challenges.

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