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Community engagement and subgroup meta-knowledge: some factors in the soul of a community. (English) Zbl 1505.62285

Summary: The Knight Foundation collects data to determine what factors impact community satisfaction, local GDP growth, and interest in Knight news publications. For the 2013 Data Expo at the Joint Statistical Meetings, participants created graphical explorations of these data. This article focuses on the idea of community meta-knowledge, which is essentially majority group empathy or understanding of how minorities experience their community. For example, the survey asks participants to rate their community “as a place for senior citizens”, on a 5-point Likert scale. A city where seniors rated their community in the same way as non-seniors is defined as a community with high meta-knowledge about conditions for seniors. Three minority groups were explored: seniors, families with young children, and racial minorities. In most communities, people outside the minority group tended to under-rate their community, compared to those in the minority group. However, meta knowledge about racial minorities stood out as an exception.

MSC:

62-08 Computational methods for problems pertaining to statistics
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References:

[1] Gallup Consulting (2008) Soul of the community: Presentation to the program directors
[2] Gallup Poll (2009) Soul of the community Knight communities overall
[3] Gallup Poll (2010) Soul of the community Knight communities overall
[4] Heiberger RM, Robbins NB (2014) Design of diverging stacked bar charts for Likert scales and other applications. J Stat Softw 57(5):1-32
[5] Hofmann H, Wickham H, Cook D (2019) The 2013 data expo of the American Statistical Association. Computat Stat (forthcoming) · Zbl 1505.62188
[6] Jacoby J, Mattel MS (1971) Three-point Likert scales are enough. J Mark Res 8(4):495-500
[7] Knight Foundation (2010) Knight soul of the community 2010: Why people love where they live and why it matters: A national perspective
[8] Likert R (1932) A technique for the measurement of attitudes. Arch Psychol 140:1-55
[9] McNamara A (2019) COSTDataExpo2013/AmeliaMN. https://github.com/COSTDataExpo2013/AmeliaHrBMNHrB
[10] R Core Team (2014) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org
[11] Robbins NB, Heiberger RM (2011) Plotting Likert and other rating scales. In: Section on survey research methods—JSM 2011
[12] Stephan WG, Finlay K (1999) The role of empathy in improving intergroup relations. J Soc Issues 55(4):729-743
[13] Ushey K, McPherson J, Cheng J, Allaire JJ (2014) packrat: a dependency management system for projects and their R package dependencies. http://CRAN.R-project.org/package=packrat. R package version 0.4.1-1
[14] Wickham H (2009) ggplot2: Elegant graphics for data analysis. Springer, New York · Zbl 1170.62004
[15] Wickham H (2011) The split-apply-combine strategy for data analysis. J Stat Softw 40(1):1-29
[16] Wickham H, Francois R (2015) dplyr: A grammar of data manipulation. http://CRAN.R-project.org/package=dplyr. R package version 0.4.1
[17] Wickham H, Cook D, Hofmann H, Buja A (2010) Graphical inference for infovis. IEEE Trans Vis Comput Graph 16(6):973-979
[18] Wilkinson L (2005) The grammar of graphics. Springer, Berlin · Zbl 1080.68107
[19] Xie Y (2014) Implementing reproducible research, chapter knitr: a comprehensive tool for reproducible research in R. Chapman & Hall/CRC, London
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