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Table 1 Descri~tive Statistics of Daily Meeting Ex~eriences, Well-Being. and Work Stress

in MEETINGS AND?'HE DAILY WELL-BEING OF EMPLOYEES
by Alexandra Luong, Steven Rogelberg Advisor, Carlla Smith, William Brien, William Redmond, Steven Rogelberg Advisor
"... In PAGE 31: ... Most meetings were face-to-face interactions. Descriptive statistics for daiIy meeting experiences are shown in Table1 . Participants had, on average, three meetings per day.... In PAGE 31: ... In short, a frequency count shows that there were comparatively more scheduled than unscheduled meetings. Descriptive statistics for daily well-being are also shown in Table1 . Also shown in Table 1 are descriptive statistics for the work stress measure.... In PAGE 31: ... Descriptive statistics for daily well-being are also shown in Table 1. Also shown in Table1 are descriptive statistics for the work stress measure. Table 2 displays the intercorrelations among the dependent variables at the aggregate level.... ..."

Table 18. Mental Well-being Equations, 1996(workers only)

in Is the UK Moving Up the International Wellbeing Rankings?
by David G. Blanchflower, Andrew J. Oswald
"... In PAGE 24: ... Hence a positive coefficient is to be interpreted as showing the variable is associated with higher stress and lower mental well-being. According to the GHQ mental stress equations of Table18 , stress levels increase in age, are higher for females than males, and are strongly increased by the number of hours worked and job insecurity, and eased by a healthy financial situation. Based on the semi-GHQ score in the second column of Table 18 (where the European-15 mean GHQ = 0.... In PAGE 24: ... According to the GHQ mental stress equations of Table 18, stress levels increase in age, are higher for females than males, and are strongly increased by the number of hours worked and job insecurity, and eased by a healthy financial situation. Based on the semi-GHQ score in the second column of Table18 (where the European-15 mean GHQ = 0.95, meaning stressed on approximately one category on average), overall stress levels appear to be particularly low in Southern Ireland and especially high in Italy.... In PAGE 24: ...95, meaning stressed on approximately one category on average), overall stress levels appear to be particularly low in Southern Ireland and especially high in Italy. The third column of Table18 reports the results of estimating a probit equation where the dependent variable is set to one if the worker replied positively when asked if he or she worked under a great deal of pressure . Perceived pressure appears to be greater in the private than in the public sector, and for those... ..."

Table 14. Mental Well-being Equations, 1996(workers only)

in Well-Being, Insecurity and the Decline of American Job Satisfaction
by David G. Blanchflower, Andrew J. Oswald
"... In PAGE 16: ... Strain levels increase in age, are higher for females than males, and are strongly increased by the number of hours worked and job insecurity, and eased by a healthy financial situation. Based on the semi-GHQ score in Table14 (European-15 mean = 0.95, meaning stressed on approximately one category on average), overall stress levels appear to be particularly low in Southern Ireland and especially high in Italy.... In PAGE 16: ...95, meaning stressed on approximately one category on average), overall stress levels appear to be particularly low in Southern Ireland and especially high in Italy. The third column of Table14 reports the results of estimating a probit equation where the dependent variable is set to one if the worker replied positively when asked if he or she worked under a great deal of pressure . Perceived pressure appears to be greater in the private than in the public sector, and for those with longer hours and tenure.... ..."

Table 5: Selected Indicators of Households Well-being

in Local Institutions, Poverty and Household Welfare in Bolivia
by Christiaan Grootaert, Deepa Narayan
"... In PAGE 14: ... Household welfare is not measured only by the level of expenditures but also by various other dimensions. Table5 contains several dimensions which can be calculated from the LLI data set. Specifically, we show indicators relating to how often the ... In PAGE 15: ... The data are shown by quintiles which rank households based on household expenditure per capita. Table5 suggests that 25% of sample households indicate that they often go hungry in the course of the year. However, the rate is much higher (38.... ..."

TABLE 7: DIFFERENCES IN WELL-BEING INDICATORS BY INTERNET USAGE Internet Use Per

in THE ONLINE “D IVERSITY DIVIDE”: PUBLIC OPINION DIFFERENCES AMONG INTERNET USERS AND NONUSERS
by John P. Robinson, Alan Neustadtl, Meyer Kestnbaum

TABLE 7: DIFFERENCES IN WELL-BEING INDICATORS BY INTERNET USAGE Internet Use Per

in THE ONLINE “D IVERSITY DIVIDE”: PUBLIC OPINION DIFFERENCES AMONG INTERNET USERS AND NONUSERS
by John P. Robinson, Alan Neustadtl, Meyer Kestnbaum

Table 3: Associations Between Operator Well-Being Task Characteristics and Computer Use Intensity

in New York University
by Jon A. Turner, Robert A. Karasek, Cris R 1983

Table 1: Coefficient values used in the calculation of the well-being value. These values were selected to reflect the relative importance of the different influences.

in Learning Behavior-Selection by Emotions and Cognition in a Multi-Goal Robot Task
by Sandra Clara Gadanho 2003
"... In PAGE 7: ... The well-being value depends on the domain-dependent set of homeostatic variables (H ) in different ways: their state, their transitions and their predictions. These different influences are weighted by their respective coefficients (cs, ct(sh) and cp), presented in Table1 . Note that the value of the transition coefficient (ct(sh)) depends on the recent states (sh) of each homeostatic variable.... ..."
Cited by 10

Table 1: Coefficient values used in the calculation of the well-being value. These values were selected to reflect the relative importance of the different influences.

in Learning Behavior-Selection by Emotions and Cognition in a Multi-Goal Robot Task
by Sandra Clara Gadanho, Peter Dayan 2003
"... In PAGE 7: ... The well-being value depends on the domain-dependent set of homeostatic variables (H ) in different ways: their state, their transitions and their predictions. These different influences are weighted by their respective coefficients (cs, ct(sh) and cp), presented in Table1 . Note that the value of the transition coefficient (ct(sh)) depends on the recent states (sh) of each homeostatic variable.... ..."
Cited by 10

Table 1 Descriptive Statistics of Daily Meeting Load and Well-Being

in Meetings and More Meetings: The Relationship Between Meeting Load and the Daily Well-Being of Employees
by Alexandra Luong, Steven G. Rogelberg, Ra Luong, Department Of Psychology, Peter Warr
"... In PAGE 5: ... Most meetings were face-to-face interactions. Descriptive statistics for daily meeting load are shown in Table1 . Participants had, on average, three meetings per day.... In PAGE 5: ...94 min (slightly over two and a half hours). Descriptive statistics for daily well-being are also shown in Table1 . Table 2 displays the intercorrelations among the depen- dent variables at the aggregate level, in which each observation is the mean across the 5 days for each individual.... ..."
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