Examining Sources Of Self-Informant Agreement In Life-Satisfaction Judgments
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More data would be better and available, but the goal was to combine the wellness model with a model of personality assessments available for only three waves (2005, 2009 and 2013). Thus, the same three waves were used to create an inclusive bottom-up ascending model, which also studied how domain satisfaction is related to the satisfaction of global life over time. It is true that there is little debate, but that does not mean that there is solid evidence of the construction of the SWLS. The outstanding question is to what extent interviewees actually search for information on key areas of life, assess these areas on the basis of subjective criteria, and then report an overall summary of these assessments. If so, subjective weightings of meaning should improve forecasts, but often they do not. In addition, in regression models, certain aspects of life often contribute to small amounts of unique variance (Andrews-Withey, 1976) and some important aspects, such as health, often account for almost zero percent of variance in life satisfaction judgments. In the last study, we examined the extent to which assessments of life satisfaction with weather fluctuate. Previous research has shown that different social behaviors can be influenced by weather, and the mechanism adopted, which is the basis of many of these effects, is that weather influences mood and mood in turn behavior. It is therefore not unreasonable to think that time can influence assessments of life satisfaction through the same process. Although a small number of studies have studied the link between weather and life satisfaction, the exact effects that developed were quite inconsistent.
In fact, even the more fundamental links between weather and mood are not robust between studies. However, the impact of weather on mood or life satisfaction may vary depending on the context, and many existing studies have been conducted in limited geographic areas or at a relatively narrow time of year. Therefore, while the impact of the weather varies depending on the season or region, significant weather effects may have been overlooked. The theory behind the use of life satisfaction judgments as a measure of well-being is based on the premise that well-being is subjective and that individuals (healthy, adult) are able to compare their real life to their ideal life and report on the results of these comparison processes (Andrews-Whithey, 1973; Servant, Lucas, Schimmack, Helliwell, 2009). In addition to testing the effects of daily weather conditions, we also tested whether extreme weather conditions are related to differences in life satisfaction assessments. It is possible that normal fluctuations in weather conditions do not affect judgments, but that extreme events do. Therefore, for each weather, we created “extreme” dichotomized weather variables coded as “1” when a threshold was reached (and otherwise “0”). We then replaced the daily weather variable with this dichotomous “extreme weather” variable in each model. Especially for temperature, we coded days at least 10 degrees Fahrenheit above the monthly average as being “extremely hot” and days at least 10 degrees below the monthly average, “extremely cold”. Both variables were tested in separate models.