Survey Data Collection Methods

Ballou, Janice; Markesich, Jason

doi:10.17848/9781441612687.ch8

“…The ideal data collection approach for this study was to send out a survey to a number of participants above the age of 18 to collect information on people's behaviours and habits with food and food wastage. A survey is a quantitative approach in which a researcher asks a planned set of questions to a whole group, or sample, of people (Ballou and Markesich, 2009). When a researcher wants to characterise or explain characteristics of a big group or groups, survey research is particularly beneficial.…”

Section: Methodsmentioning

confidence: 99%

Humanoid Robot To Help Reduce Food Waste by Detecting Food Quality Using Artificial Intelligence

Khan¹,

Prasetyo²

2023

J. of App. Sci. & Adv. Eng.

2

0

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After assessing existing problems in food wastage and identifying if any solutions pre-exist, this eventually sparked the idea for developing a solution to detect food quality and reduce food waste. This was shown by doing a thorough study in order to fully comprehend the problem of food wastage. According to the study results, the leading cause/causes of food wastage are that most family members do not complete their meal and do not check the fridge, freezer, or cabinets before going shopping. In hindsight, this preliminary study aided in the creation of a solution that might aid in the reduction of food waste by identifying the food quality of fruits and vegetables and informing the person if it can be kept or should be consumed. The solution proposed was to train Pepper, a humanoid robot, to detect the food quality of fruits and vegetables using image recognition in order to decrease food waste.

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Counting Working-Age People with Disabilities: What Current Data Tell Us and Options for Improvements

Houtenville¹,

Stapleton²,

Weathers³

et al. 2009

33

0

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When you cannot measure, your knowledge is meager and unsatisfactory."-Lord Kelvin 1 "If you are not counted, you don't count."-Cyndi Jones, Center for an Accessible Society Efforts to provide statistics on the number and status of workingage people with disabilities have a history of being fragmented and sporadic. As a group, they are often overlooked in mainstream discussions of the latest statistics on employment, income, poverty, and other measures of the status of the population. In contrast, government agencies routinely compile and report such statistics for groups defi ned by sex, age, race, ethnicity, and marital status. Indeed, one of the most frequently cited statistical reports on the socioeconomic status of the U.S. population-the U.S. Census Bureau's Annual Report on Income, 2 Stapleton, Houtenville, Weathers, and Burkhauser Poverty, and Health Insurance Coverage in the United States-does not mention this group. The overarching objective of this book is to support and facilitate efforts to improve statistics and data on working-age people with disabilities. Many of the limitations with statistics and data on this population are well-known. There have been signifi cant efforts to address the limitations, and some progress has been made. That progress, however, has often been at the whim of external forces, such as the extent of support for improvements to federal data collection, advances in information technologies, concerns about privacy protection, and government expenditure priorities, rather than for the purpose of systematically capturing the size and socioeconomic characteristics of this population. As a result, statistics and data for working-age people with disabilities are not on par with those for other "at-risk" working-age populationsgroups that are more likely than others to experience adverse socioeconomic outcomes, such as some racial and ethnic minorities, children, unmarried parents, and the elderly. This book provides a systematic review of what current statistics and data on working-age people with disabilities can and cannot tell us, and how they can be improved to better inform policymakers, advocates, administrators, analysts, service providers, and others. This book will inform two broad audiences. The fi rst consists of those interested in what current data can tell us about the prevalence of disabilities among working-age people and their socioeconomic status, but who are dissatisfi ed with the limited, and often confusing, statistics cited in the mainstream press. For this audience, the book also offers the best available statistics on levels and trends in their employment, income, poverty, and health and functional status. The second audience is a more specialized group of professionals (academics, advocates, government policymakers, service providers, etc.) who require reliable information to support evidence-based public policy and administrative decisions. For them, we go beyond "facts" to 1) examine how robust these facts are across data sets, 2) consider the strengths...

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The Group Quarters Population

She¹,

Stapleton²

2009

Counting Working-Age People With Disabilities: What Current Data Tell Us and Options for Improvements

6

0

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When you cannot measure, your knowledge is meager and unsatisfactory."-Lord Kelvin 1 "If you are not counted, you don't count."-Cyndi Jones, Center for an Accessible Society Efforts to provide statistics on the number and status of workingage people with disabilities have a history of being fragmented and sporadic. As a group, they are often overlooked in mainstream discussions of the latest statistics on employment, income, poverty, and other measures of the status of the population. In contrast, government agencies routinely compile and report such statistics for groups defi ned by sex, age, race, ethnicity, and marital status. Indeed, one of the most frequently cited statistical reports on the socioeconomic status of the U.S. population-the U.S. Census Bureau's Annual Report on Income, 2 Stapleton, Houtenville, Weathers, and Burkhauser Poverty, and Health Insurance Coverage in the United States-does not mention this group. The overarching objective of this book is to support and facilitate efforts to improve statistics and data on working-age people with disabilities. Many of the limitations with statistics and data on this population are well-known. There have been signifi cant efforts to address the limitations, and some progress has been made. That progress, however, has often been at the whim of external forces, such as the extent of support for improvements to federal data collection, advances in information technologies, concerns about privacy protection, and government expenditure priorities, rather than for the purpose of systematically capturing the size and socioeconomic characteristics of this population. As a result, statistics and data for working-age people with disabilities are not on par with those for other "at-risk" working-age populationsgroups that are more likely than others to experience adverse socioeconomic outcomes, such as some racial and ethnic minorities, children, unmarried parents, and the elderly. This book provides a systematic review of what current statistics and data on working-age people with disabilities can and cannot tell us, and how they can be improved to better inform policymakers, advocates, administrators, analysts, service providers, and others. This book will inform two broad audiences. The fi rst consists of those interested in what current data can tell us about the prevalence of disabilities among working-age people and their socioeconomic status, but who are dissatisfi ed with the limited, and often confusing, statistics cited in the mainstream press. For this audience, the book also offers the best available statistics on levels and trends in their employment, income, poverty, and health and functional status. The second audience is a more specialized group of professionals (academics, advocates, government policymakers, service providers, etc.) who require reliable information to support evidence-based public policy and administrative decisions. For them, we go beyond "facts" to 1) examine how robust these facts are across data sets, 2) consider the strengths...

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Survey Data Collection Methods

Cited by 5 publications

References 4 publications

Humanoid Robot To Help Reduce Food Waste by Detecting Food Quality Using Artificial Intelligence

Humanoid Robot To Help Reduce Food Waste by Detecting Food Quality Using Artificial Intelligence

Counting Working-Age People with Disabilities: What Current Data Tell Us and Options for Improvements

The Group Quarters Population

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