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AbstractNon‐profit organisations operate with the advantage of a generally positive social image. Workers and managerial employees of nonprofits are commonly thought of as altruistic, trustworthy and respectable actors who assist their communities. However, the non‐profit sector has faced several notable scandals and crises that have tested this positive social image. This paper reports on an analysis of the positive social image, which we call a sector 'halo' and its durability in the face of organisational crisis. Based on a sample from Amazon's Mechanical Turk, the analysis confirms the general positive social image of non‐profit organisations when compared to their private for‐profit and government sector peers, who possess lower levels of trust. However, a survey experiment reveals that given a crisis scenario regarding a data breach incident, the 'halo' entirely disappears. Our study improves on the literature regarding trust and organisational reputation and highlights the importance of sector ownership and perceived differences pre‐ and postcrisis.

Quantitative Research Methods for Political Science, Public Policy and Public Administration for Undergraduates: 1st Edition With Applications in R is an adaption of Quantitative Research Methods for Political Science, Public Policy and Public Administration (With Applications in R). The focus of this book is on using quantitative research methods to test hypotheses and build theory in political science, public policy and public administration. This new version of the text omits large portions of the original text that focused on calculus and linear algebra, expands and reorganizes the content on the software system R and includes guided study questions at the end of each chapter. ; https://dc.etsu.edu/etsu-oer/1004/thumbnail.jpg

Quantitative Research Methods for Political Science, Public Policy and Public Administration for Undergraduates: 1st Edition With Applications in Excel is an adaption of Quantitative Research Methods for Political Science, Public Policy and Public Administration (With Applications in R). The focus of this book is on using quantitative research methods to test hypotheses and build theory in political science, public policy and public administration. This new version is designed specifically for undergraduate courses. It omits large portions of the original text that focused on calculus and linear algebra, expands and reorganizes the content on the software system by shifting to Excel and includes guided study questions at the end of each chapter. ; https://dc.etsu.edu/etsu-oer/1003/thumbnail.jpg

The focus of this book is on using quantitative research methods to test hypotheses and build theory in political science, public policy and public administration. It is designed for advanced undergraduate courses, or introductory and intermediate graduate-level courses. The first part of the book introduces the scientific method, then covers research design, measurement, descriptive statistics, probability, inference, and basic measures of association. The second part of the book covers bivariate and multiple linear regression using the ordinary least squares, the calculus and matrix algebra that are necessary for understanding bivariate and multiple linear regression, the assumptions that underlie these methods, and then provides a short introduction to generalized linear models. The book fully embraces the open access and open source philosophies. The book is freely available in the SHAREOK repository; it is written in R Markdown files that are available in a public GitHub repository; it uses and teaches R and RStudio for data analysis, visualization and data management; and it uses publically available survey data (from the Meso-Scale Integrated Socio-geographic Network) to illustrate important concepts and methods. We encourage students to download the data, replicate the examples, and explore further! We also encourage instructors to download the R Markdown files and modify the text for use in different courses.