Conditional Measure

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Michelle Jeong - One of the best experts on this subject based on the ideXlab platform.

  • comparison of a general and Conditional Measure of e cigarette harm perceptions
    International Journal of Environmental Research and Public Health, 2020
    Co-Authors: Olivia A Wackowski, Michelle Jeong
    Abstract:

    Measures of tobacco product harm perceptions are important in research, given their association with tobacco use. Despite recommendations to use more specific harm and risk perception Measures, limited research exists comparing different wordings. We present exploratory survey data comparing young adults' (ages 18-29) responses to a general e-cigarette harm perception Measure ("How harmful, if at all, do you think vaping/using an e-cigarette is to a user's health?") with a more specific Conditional Measure, which personalized the behavior/harm ("imagine you vaped," "your health") and presented a specific use condition (exclusive daily vaping) and timeframe (10 years). Data were collected in January 2019 (n = 1006). Measures were highly correlated (r = 0.76, Cronbach's α = 0.86), and most (65%) provided consistent responses, although more participants rated e-cigarettes as very or extremely harmful using the Conditional (51.6%) versus the general (43.9%) harm Measure. However, significant differences in harm ratings were not observed among young adults who currently vaped. Correlations between each harm perception Measure and Measures of e-cigarette use intentions were similar. More specifically worded harm perception Measures may result in somewhat higher e-cigarette harm ratings than general Measures for some young adults. Additional research on best practices for measuring e-cigarette and other tobacco harm perceptions is warranted.

Olivia A Wackowski - One of the best experts on this subject based on the ideXlab platform.

  • comparison of a general and Conditional Measure of e cigarette harm perceptions
    International Journal of Environmental Research and Public Health, 2020
    Co-Authors: Olivia A Wackowski, Michelle Jeong
    Abstract:

    Measures of tobacco product harm perceptions are important in research, given their association with tobacco use. Despite recommendations to use more specific harm and risk perception Measures, limited research exists comparing different wordings. We present exploratory survey data comparing young adults' (ages 18-29) responses to a general e-cigarette harm perception Measure ("How harmful, if at all, do you think vaping/using an e-cigarette is to a user's health?") with a more specific Conditional Measure, which personalized the behavior/harm ("imagine you vaped," "your health") and presented a specific use condition (exclusive daily vaping) and timeframe (10 years). Data were collected in January 2019 (n = 1006). Measures were highly correlated (r = 0.76, Cronbach's α = 0.86), and most (65%) provided consistent responses, although more participants rated e-cigarettes as very or extremely harmful using the Conditional (51.6%) versus the general (43.9%) harm Measure. However, significant differences in harm ratings were not observed among young adults who currently vaped. Correlations between each harm perception Measure and Measures of e-cigarette use intentions were similar. More specifically worded harm perception Measures may result in somewhat higher e-cigarette harm ratings than general Measures for some young adults. Additional research on best practices for measuring e-cigarette and other tobacco harm perceptions is warranted.

Vadim Platonov - One of the best experts on this subject based on the ideXlab platform.

Sara Daneri - One of the best experts on this subject based on the ideXlab platform.

  • The disintegration of the Lebesgue Measure on the faces of a convex function
    Journal of Functional Analysis, 2010
    Co-Authors: Laura Caravenna, Sara Daneri
    Abstract:

    We consider the disintegration of the Lebesgue Measure on the graph of a convex function f:Rn→R w.r.t. the partition into its faces, which are convex sets and therefore have a well defined linear dimension, and we prove that each Conditional Measure is equivalent to the k-dimensional Hausdorff Measure on the k-dimensional face on which it is concentrated. The remarkable fact is that a priori the directions of the faces are just Borel and no Lipschitz regularity is known. Notwithstanding that, we also prove that a Green–Gauss formula for these directions holds on special sets.

Goncalo Dos Reis - One of the best experts on this subject based on the ideXlab platform.