Workshop: Development of Questionnaires and Survey Instruments

2008 ◽  
pp. 203-203-14 ◽  
Author(s):  
MD Lebowitz ◽  
JJ Quackenboss ◽  
ML Soczek ◽  
SD Colome ◽  
PJ Lioy
Keyword(s):  
Survey Instruments

Designing and Evaluating Survey Instruments for Research in Human Issues in Horticulture

HortScience ◽  
1998 ◽  
Vol 33 (3) ◽  
pp. 554c-554
Author(s):  
Sonja M. Skelly ◽  
Jennifer Campbell Bradley
Keyword(s):  
Survey Research ◽  
Survey Methodology ◽  
Human Subjects ◽  
Social Science Research ◽  
Reliability And Validity ◽  
Science Research ◽  
Survey Instrument ◽  
Measurement Tool ◽  
The Social ◽  
Survey Instruments

Survey research has a long precedence of use in the social sciences. With a growing interest in the area of social science research in horticulture, survey methodology needs to be explored. In order to conduct proper and accurate survey research, a valid and reliable instrument must be used. In many cases, however, an existing measurement tool that is designed for specific research variables is unavailable thus, an understanding of how to design and evaluate a survey instrument is necessary. Currently, there are no guidelines in horticulture research for developing survey instruments for use with human subjects. This presents a problem when attempting to compare and reference similar research. This workshop will explore the methodology involved in preparing a survey instrument; topics covered will include defining objectives for the survey, constructing questions, pilot testing the survey, and obtaining reliability and validity information. In addition to these topics some examples will be provided which will illustrate how to complete these steps. At the conclusion of this session a discussion will be initiated for others to share information and experiences dealing with creating survey instruments.

scholarly journals An Egocentric Network Contact Tracing Experiment: Testing Different Procedures to Elicit Contacts and Places

2021 ◽  
Vol 18 (4) ◽  
pp. 1466
Author(s):  
Andrew Pilny ◽  
C. Joseph Huber
Keyword(s):  
Social Network ◽  
Infectious Diseases ◽  
Effect Size ◽  
Survey Methods ◽  
Contact Tracing ◽  
Medium Effect ◽  
Physiological Variables ◽  
Medium Effect Size ◽  
Egocentric Network ◽  
Survey Instruments

Contact tracing is one of the oldest social network health interventions used to reduce the diffusion of various infectious diseases. However, some infectious diseases like COVID-19 amass at such a great scope that traditional methods of conducting contact tracing (e.g., face-to-face interviews) remain difficult to implement, pointing to the need to develop reliable and valid survey approaches. The purpose of this research is to test the effectiveness of three different egocentric survey methods for extracting contact tracing data: (1) a baseline approach, (2) a retrieval cue approach, and (3) a context-based approach. A sample of 397 college students were randomized into one condition each. They were prompted to anonymously provide contacts and populated places visited from the past four days depending on what condition they were given. After controlling for various demographic, social identity, psychological, and physiological variables, participants in the context-based condition were significantly more likely to recall more contacts (medium effect size) and places (large effect size) than the other two conditions. Theoretically, the research supports suggestions by field theory that assume network recall can be significantly improved by activating relevant activity foci. Practically, the research contributes to the development of innovative social network data collection methods for contract tracing survey instruments.

scholarly journals Suitability of Measurement Tools for Assessing the Prevalence of Child Domestic Work: A Rapid Systematic Review

2021 ◽  
Vol 18 (5) ◽  
pp. 2357
Author(s):  
Nicola S. Pocock ◽  
Clara W. Chan ◽  
Cathy Zimmerman
Keyword(s):  
Systematic Review ◽  
Domestic Work ◽  
Quality Measurement ◽  
Measurement Tool ◽  
Current Standard ◽  
Middle Income ◽  
Middle Income Countries ◽  
Measurement Tools ◽  
Survey Instruments ◽  
Nationally Representative

Child domestic work (CDW) is a hidden form of child labour. Globally, there were an estimated 17.2 million CDWs aged 5–17 in 2012, but there has been little critical analysis of methods and survey instruments used to capture prevalence of CDW. This rapid systematic review identified and critically reviewed the measurement tools used to estimate CDWs in Low- and Middle-Income Countries, following PRISMA guidelines (PROSPERO registration: CRD42019148702). Fourteen studies were included. In nationally representative surveys, CDW prevalence ranged from 17% among 13–24-year-old females in Haiti to 2% of children aged 10–17 in Brazil. Two good quality studies and one good quality measurement tool were identified. CDW prevalence was assessed using occupation-based methods (n = 9/14), household roster (n = 7) and industry methods (n = 4). Six studies combined approaches. Four studies included task-based questions; one study used this method to formally calculate prevalence. The task-based study estimated 30,000 more CDWs compared to other methods. CDWs are probably being undercounted, based on current standard measurement approaches. We recommend use of more sensitive, task-based methods for inclusion in household surveys. The cognitive and pilot testing of newly developed task-based questions is essential to ensure comprehension. In analyses, researchers should consider CDWs who may be disguised as distant or non-relatives.

Temperature performance of portable radiation survey instruments used for environmental monitoring and clean-up activities in Fukushima

2017 ◽  
Vol 137 ◽  
pp. 210-215
Author(s):  
Jun Saegusa ◽  
Kayo Yanagisawa ◽  
Atsushi Hasumi ◽  
Takenori Shimizu ◽  
Yoshiaki Uchita
Keyword(s):  
Environmental Monitoring ◽  
Temperature Performance ◽  
Survey Instruments

The Effect of the Static Magnetic Field on the Response of Radiation Survey Instruments

1993 ◽  
Vol 64 (1) ◽  
pp. 59-63 ◽  
Author(s):  
J. C. Liu ◽  
Stan Mao ◽  
R. C. McCall ◽  
R. Donahue
Keyword(s):  
Magnetic Field ◽  
Static Magnetic Field ◽  
Survey Instruments

Destination images of visitors attending to travel expo in key markets of Turkey

2010 ◽  
Vol 16 (2) ◽  
pp. 229-241
Author(s):  
Volkan Altintas ◽  
Ercan Sirakaya-Turk ◽  
Serkan Bertan
Keyword(s):  
Survey Instrument ◽  
Demographic Characteristics ◽  
Education Levels ◽  
Relevant Variables ◽  
Survey Instruments ◽  
People’S Perceptions

The objective of the current study was to assess how the origin, education levels, gender, ages and income of expo visitors affected their perceptions of Turkey and what could be done to improve visitors’ perception of Turkey. Data were collected in three expos held in three countries via self-reported survey instruments. Survey instrument included scale items which probed people’s perceptions and images of Turkey along with other relevant variables. There were 264 Germans participants, 332 Dubains, and 94 Russians. Profiles of markets were analyzed using t-tests. The result of this study showed that demographic characteristics of participants affected their perceptions of the destination differently.

Exploring the Effects of Individual Differences in Function Structure Modeling Behaviors

2021 ◽  
Author(s):  
Apurva Patel ◽  
Joshua D. Summers
Keyword(s):  
Individual Differences ◽  
Goal Orientation ◽  
Structure Modeling ◽  
Risk Propensity ◽  
Input Process ◽  
Function Structure ◽  
Modeling Process ◽  
Survey Instruments ◽  
Process Output ◽  
Protocol Study

Abstract This paper presents an exploratory study conducted to understand the role of individual differences between designers in the function modeling process and with respect to final models. An input-process-output framework of function modeling is proposed to systematically approach this theory building and discovery research study. Four measures of individual differences are identified of interest. These include the systemizing quotient, goal orientation, risk propensity, and concept design thinking style. Each metric is composed of multiple items that can be assessed through survey instruments. A previously developed protocol study is used to capture function modeling behaviors and a final function structure model. Data collected from the survey instruments and protocol study is processed to generate input, process, and output measures. A regression-based analysis is used to identify correlations in three groups: input-process, input-output, and process-output. Potential correlations of interest are identified within each group. Implications of these correlations are discussed from a function structure modeling perspective and hypotheses for future research are identified based on the patterns observed in this study. Three testable hypotheses are proposed for future investigation: (1) Goal orientation has no effect on activity distribution in the function modeling process, (2) Thinking style has no effect on the function modeling process, and (3) Risk propensity has no effect on element distribution in the function modeling process. Finally, an anticipated experiment is outlined to investigate one of the potential relationships discovered in this study.

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