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Provides the knowledge and tools needed for the future of survey research The survey research discipline faces unprecedented challenges, such as falling response rates, inadequate sampling frames, and antiquated approaches and tools. Addressing this changing landscape, Social Media, Sociality, and Survey Research introduces readers to a multitude of new techniques in data collection in one of the fastest developing areas of survey research. The book is organized around the central idea of a ""sociality hierarchy"" in social media interactions, comprised of three le

ABSTRACTThe article describes a multi‐phase, in‐class simulation that employs problem‐based learning to teach operations and process‐improvement concepts as part of an undergraduate or graduate business course. The simulation is derived from a corporate Lean Six Sigma training activity and has been modified to introduce, demonstrate, and apply a wide range of business concepts relevant to operations and supply chain management, including the use of operational and financial performance measures in decision making. The activity is scalable for small‐ to medium‐size classes with multiple student groups and may be deployed as a stand‐alone, in‐class exercise spread over several class meetings or incorporated into a larger, semester‐long process‐improvement project for multiple student groups. The simulation emphasizes problem‐solving, teamwork, and intra‐firm cooperation in addition to 20–30 other business concepts, tools, and measures that may be incorporated.

ABSTRACTThe article describes a project that employs problem‐based learning (PBL) to teach the Lean Six Sigma (LSS) methodology as part of an undergraduate or graduate business course. It is scalable to a variety of course delivery and schedule formats, and uses data sets that can create distinct problem‐solving scenarios for up to 16 student teams. It exploits available internet resources for supplemental information, thus requiring no physical setup or experimentation, and eliminating material costs. The project provides a complex business problem in a familiar setting, allowing students to focus their learning efforts on technical mastery of concepts and tools rather than underlying business descriptions. It emphasizes critical thinking, team work, and project management, in addition to the fundamental concepts and supporting tools of the process improvement method.

AbstractThe purpose of the study was to examine the frequency of experiencing passionate love during adolescence and young adulthood as recalled by young adults, and to examine gender differences in this frequency. Female and male US. introductory psychology students, several of whom were of nontraditional age, responded to a questionnaire that asked about the frequency of their mutual and unrequited love experiences. Respondents provided information for four age periods ranging from childhood to age 25 years. Although the frequency of recalled mutual love experiences increased for both genders from childhood through the 16‐to‐20‐year‐age period, men reported more episodes or unrequited love during the 16‐to‐20‐year‐age period compared to (a) other age periods, (b) their reports of mutual love during that age period, and (c) the reports of unrequited love for 16‐to‐20‐year‐old women.

"Written and painstakingly edited by leading experts in their respective fields, this volume offers a state-of-the-art overview of Big Data issues, concerns, and responses in survey methodology. Like several other books in the Wiley Series in Survey Methodology, this work has been prepared in conjunction with an international conference on the topic by the Survey Research Methods Section of the American Statistical Association. The conference and book constitute part of an ongoing effort by a group of international researchers to promote quality in Big Data and to raise the level of methodological expertise in various applied fields. The basic content, in light of emerging techniques and technologies, includes in-depth coverage of topics such as combining Big Data with traditional data sources; multiplicity; data sparseness; data streams; using Big Data for reducing, controlling, and evaluating total survey error; handling confidentiality and privacy; and ethical concerns and the concept of harm; among a host of others. The editors and contributors are eminent, varied, and reflective of the international marketplace. Copious tables, figures, and references, as well as an extensive glossary, supplement the high quality discussion throughout the text"--