survey validation
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2022 ◽  
pp. 41-62
Author(s):  
Colleen Halupa

The purpose of this chapter is to provide an easy-to-understand overview of several important concepts for selecting and creating survey instruments for dissertations and other types of doctoral research. This chapter includes information on instrument selection, survey validation, and survey instrument creation. A review of survey scale types and important definitions and concepts related to survey research is included. A sample conceptual framework that can be used to link research questions, relevant literature, and survey questions is also provided.


Author(s):  
EVELYN PAREDES-CORAL ◽  
TIM DEPREZ ◽  
MELITA MOKOS ◽  
ANN VANREUSEL ◽  
HENK ROOSE

Human activities have put the ocean under unprecedented pressure. Still, levels of public understanding about the ocean remain low. Ocean literacy is a global movement that aims to improve the understanding of the ocean and provide an incentive for positive change in people’s behavior. To date, there is no validated scale targeted to adults to measure ocean literacy that includes measuring people’s knowledge about the ocean, as well as surveying their attitudes and willingness to act. The Blue Survey is an online instrument meant to measure ocean literacy in adult populations developed by a multidisciplinary team of experts. Using factor analysis, we explore the validity and internal consistency of the Blue Survey in a purposive online sample of 251 adults. We found ocean literacy to consist of six sub-dimensions captured by 34 survey items, viz. knowledge of ocean-related topics, personal interest in ocean-related aspects, ocean stewardship, ocean as an economic resource, ocean-friendly behavior, and willingness to act responsibly for the ocean. Our analysis resulted in the development of a new validated instrument to measure the various dimensions of ocean literacy. It may help researchers and practitioners to better understand the factors contributing to shaping an ocean-literate person. Further research should assess the validity of the Blue Survey across different populations, including those closely related to the sea, such as maritime professionals. 


2021 ◽  
Vol 133 (1024) ◽  
pp. 064001
Author(s):  
David Rubin ◽  
Aleksandar Cikota ◽  
Greg Aldering ◽  
Andy Fruchter ◽  
Saul Perlmutter ◽  
...  

Author(s):  
Carmen L. Gálvez-Hernández ◽  
Allison Boyes ◽  
Andrea Ortega-Mondragón ◽  
Andrea G. Romo-González ◽  
Alejandro Mohar ◽  
...  

2020 ◽  
Author(s):  
Jon Leydens ◽  
Kathryn Johnson ◽  
Stephanie Claussen ◽  
Jenifer Blacklock ◽  
Barbara Moskal ◽  
...  

2020 ◽  
pp. 095148482094359
Author(s):  
Jose Hugo Arias Botero ◽  
Ruben Dario Gomez Arias ◽  
Angela Maria Segura Cardona ◽  
Fernando Acosta Rodriguez ◽  
Jose Antonio Quesada Rico ◽  
...  

Objective The measurement of patient safety climate within hospitals, and specifically in operating rooms is a basic tool for the development of the patient’s safety policy. There are no validated Spanish versions of instruments to measure safety climate. The objective of this research was to validate the Spanish version of the Hospital Survey on Patient Safety (HSOPS®), with the addition of a module for surgical units, to evaluate the patient safety climate in operating rooms. Methods Survey validation study. The Hospital Survey on Patient Safety (HSOPS®) was applied to health workers from 6 acute general hospitals, from Medellín (Colombia), with surgical procedures greater than 300 per month, 18 items were added considered specific for Operating Rooms. For construct validation, an exploratory factor analysis (EFA) was used, utilizing principal components as the extraction method. Reliability was evaluated with Cronbach’s α. Results A 10 dimensions model was obtained with EFA, most of the dimensions of the original questionnaire were conserved, although the factorial structure was not reproduced. Two new dimensions emerged from the added items. The Cronbach’s α ranged between 0.66 and 0.87. Conclusions: We found the HSOPS questionnaire is valid and reliable for measuring patient safety climate in Spanish speaking Latin American countries. Two additional dimensions are proposed for Operating Rooms.


Author(s):  
Amy C. Edmondson ◽  
Francesca Gino ◽  
Patrick J. Healy

Many scholars have proposed factors that inhibit or facilitate organizational learning, yet few of these claims have been tested empirically. To measure differences in learning across organizations or work units within the same organization, this chapters draws on existing perspectives in the organizational learning literature to create and test a Learning Organization Survey (LOS) in two studies. The LOS presents ten constructs in three clusters – learning environment, processes, and leadership. Study 1 examines the reliability and validity of the ten theory-based constructs comprising the learning organization. Study 2 provides further validation that the LOS is a reliable, stable instrument containing items that suit the theoretical criteria for components of learning organizations. Implications for research and practice are discussed.


2018 ◽  
Vol 10 (12) ◽  
pp. 4725 ◽  
Author(s):  
Hainan Huang ◽  
Yi Lin ◽  
Jiancheng Weng ◽  
Jian Rong ◽  
Xiaoming Liu

Urban rail transit has become an indispensable option for Beijing residents. Subway inelastic users (SIUs) are the main component among all users. Understanding the proportion of SIUs and their characteristics is important in developing service promotions and helpful for subway agencies in making marketing policies. This paper proposes a novel and simple identification process for identifying regular subway inelastic trips (SITs) in order to distinguish SITs and non-SITs and extract their characteristics. Weekly station sequence (WSS) is selected as the data-based format, principles of SIUs are discussed and chosen, and the framework of SIT identification is applied to a large weekly sample from the Beijing Subway. A revealed preference (RP) survey and results analysis are undertaken to estimate the performance of the proposed methods. The RP survey validation shows that accuracy reaches as high as 94%, and the distribution analysis of SITs and their origin-destinations (ODs) indicate that the SIT characteristics extracted are consistent with the situation in Beijing. The proportion of SIUs is stable on workdays and is more than 80% during rush hour. The efforts described in this paper can provide subway managers with a useful and convenient method to understand the characteristics of subway passengers and the performance of a subway system.


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