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Highlighting the progress made by researchers in using Web-based
surveys for data collection, this timely volume summarizes the
experiences of leading behavioral and social scientists from Europe
and the US who collected data using the Internet. Some chapters
present theory, methodology, design, and implementation, while
others focus on best practice examples and/or issues such as data
quality and understanding paradata. A number of contributors
applied innovative Web-based research methods to the LISS panel of
CentERdata collected from over 5,000 Dutch households. Their
findings are presented in the book. Some of the data is available
on the book website. The book addresses practical issues such as
data quality, how to reach difficult target groups, how to design a
survey to maximize response, and ethical issues that need to be
considered. Innovative applications such as the use of biomarkers
and eye-tracking techniques are also explored. Part 1 provides an
overview of Internet survey research including its methodologies,
strengths, challenges, and best practices. Innovative ways to
minimize sources of error are provided along with a review of
mixed-mode designs, how to design a scientifically sound
longitudinal panel and avoid sampling problems, and address ethical
requirements in Web surveys. Part 2 focuses on advanced
applications including the impact of visual design on the
interpretability of survey questions, the impact survey usability
has on respondents' answers, design features that increase
interaction, and how Internet surveys can be effectively used to
study sensitive issues. Part 3 addresses data quality, sample
selection, measurement and non-response error, and new applications
for collecting online data. The issue of underrepresentation of
certain groups in Internet research and the measures most effective
at reducing it are also addressed. The book concludes with a
discussion of the importance of paradata and the Web data
collection process in general, followed by chapters with innovative
experiments using eye-tracking techniques and biomarker data. This
practical book appeals to practitioners from market survey research
institutes and researchers in disciplines such as psychology,
education, sociology, political science, health studies, marketing,
economics, and business who use the Internet for data collection,
but is also an ideal supplement for graduate and/or upper level
undergraduate courses on (Internet) research methods and/or data
collection taught in these fields.
This book examines innovative theoretical perspectives and novel
labour market policy responses to Europe's changing work demands,
employment careers and life courses. It presents creative ideas and
recommendations for flexicurity policies at various levels and in
different social and economic contexts. The driving factors
determining the performance of dissimilar pathways in Europe are
identified in regard to their impact on the flexibility/security
nexus. Key issues in the current European policy debate are
addressed, including how innovative policies are designed in the
areas of working time, education, work-life balance, employment
relations, retirement and migration, how they are put into practice
and what determines their level of success. This volume is an
authoritative overview of innovative labour market policies and
research findings, with a strong thematic emphasis on life course,
transitional labour market and flexicurity approaches. It
encompasses a wide array of European countries and is written by a
multidisciplinary group of established scholars. This book will be
of great interest to researchers, academics and policy makers.
Highlighting the progress made by researchers in using Web-based
surveys for data collection, this timely volume summarizes the
experiences of leading behavioral and social scientists from Europe
and the US who collected data using the Internet. Some chapters
present theory, methodology, design, and implementation, while
others focus on best practice examples and/or issues such as data
quality and understanding paradata. A number of contributors
applied innovative Web-based research methods to the LISS panel of
CentERdata collected from over 5,000 Dutch households. Their
findings are presented in the book. Some of the data is available
on the book website. The book addresses practical issues such as
data quality, how to reach difficult target groups, how to design a
survey to maximize response, and ethical issues that need to be
considered. Innovative applications such as the use of biomarkers
and eye-tracking techniques are also explored. Part 1 provides an
overview of Internet survey research including its methodologies,
strengths, challenges, and best practices. Innovative ways to
minimize sources of error are provided along with a review of
mixed-mode designs, how to design a scientifically sound
longitudinal panel and avoid sampling problems, and address ethical
requirements in Web surveys. Part 2 focuses on advanced
applications including the impact of visual design on the
interpretability of survey questions, the impact survey usability
has on respondents' answers, design features that increase
interaction, and how Internet surveys can be effectively used to
study sensitive issues. Part 3 addresses data quality, sample
selection, measurement and non-response error, and new applications
for collecting online data. The issue of underrepresentation of
certain groups in Internet research and the measures most effective
at reducing it are also addressed. The book concludes with a
discussion of the importance of paradata and the Web data
collection process in general, followed by chapters with innovative
experiments using eye-tracking techniques and biomarker data. This
practical book appeals to practitioners from market survey research
institutes and researchers in disciplines such as psychology,
education, sociology, political science, health studies, marketing,
economics, and business who use the Internet for data collection,
but is also an ideal supplement for graduate and/or upper level
undergraduate courses on (Internet) research methods and/or data
collection taught in these fields.
Silicon Valley is the world's most successful innovation region.
Apple, Google, Facebook, Instagram, Twitter, WhatsApp, Uber, and
Airbnb changed our way of living. Silicon Valley has built a
brilliant ecosystem that supports startups. Its entrepreneurial
mindset fosters risk-taking, thinking big, and sharing. A fast
growing number of accelerators in Silicon Valley help startups by
bringing their product to the market, refining their business idea,
developing their product, strengthening their team, designing a
marketing strategy, getting first customers and traction, raising
funds, and coping with the hardships of startup life. In
Accelerators in Silicon Valley Peter Ester describes how these
'schools of startup entrepreneurship' operate and empower startups.
What can we learn from how Silicon Valley accelerators help
startups to become successful companies? This book gives the
answer. Accelerators in Silicon Valley is a book for those who
share a fascination for building the new startup economy.
For decades now, Silicon Valley has been the home of the future.
It's the birthplace of the world's most successful high-tech
companies-including Apple, Yahoo, Google, Facebook, Twitter, and
many more. So what's the secret? What is it about Silicon Valley
that fosters entrepreneurship and innovation? With Silicon Valley,
Planet Startup, Peter Ester and Arne Maas argue that the answer
lies in Silicon Valley's culture-a corporate culture that values
risk-taking, creativity, invention, and sharing. Through extensive
interviews with Dutch entrepreneurs working in the area, Ester and
Maas show that Silicon Valley is above all a mind-set: a belief in
thinking, with passion and ambition, far beyond the here and now.
Scholars and business people and budding entrepreneurs alike are
sure to find both inspiration and illumination in the stories and
analyses Ester and Maas have assembled here.
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