Author: David Kremelberg
Publisher: SAGE Publications
ISBN: 150631791X
Category : Social Science
Languages : en
Pages : 529
Book Description
Making statistics—and statistical software—accessible and rewarding This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.
Practical Statistics
Author: David Kremelberg
Publisher: SAGE Publications
ISBN: 150631791X
Category : Social Science
Languages : en
Pages : 529
Book Description
Making statistics—and statistical software—accessible and rewarding This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.
Publisher: SAGE Publications
ISBN: 150631791X
Category : Social Science
Languages : en
Pages : 529
Book Description
Making statistics—and statistical software—accessible and rewarding This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.
Intersex
Author: Tiffany Jones
Publisher:
ISBN: 9781783742080
Category :
Languages : en
Pages : 272
Book Description
Sex is complex. Humans are simultaneously more similar in their sex development, and more diverse, than is commonly appreciated or understood. Females and males are not made of wildly different ingredients. The potential to have intersex variations-to be born with atypical sex characteristics-exists for all humans in the first few weeks of their prenatal development. 1.7% of people actually go on to be born intersex. However, most of us know little about intersex variations. This is only partly due to their occasional invisibility. Intersex people have historically faced deep social stigma-the assumption that they were simply bizarre aberrations from the human norm. Furthermore, intersex infants have been widely subjected to systematic institutional mistreatment, particularly within medical settings. Finally, some people with intersex variations have simply tried to integrate themselves unnoticed into the socially accepted categories of male and female. Drawing on stories and statistics from the first national study of intersex the book argues for a distinct 'Intersex Studies' framework to address intersex issues and identity-foregrounding people with intersex variations' own goals, perspectives and experiences. Collected in 2015 and arranged in thematic chapters, the data presented here on 272 individuals gives a penetrating account of historically and socially obscured experience. This book is an important and long-overdue contribution to our understanding of human sexuality and a must-read for people with intersex variations, health practitioners, psychologists, advocacy groups, students, and anybody interested in knowing more about our diverse human make-up.
Publisher:
ISBN: 9781783742080
Category :
Languages : en
Pages : 272
Book Description
Sex is complex. Humans are simultaneously more similar in their sex development, and more diverse, than is commonly appreciated or understood. Females and males are not made of wildly different ingredients. The potential to have intersex variations-to be born with atypical sex characteristics-exists for all humans in the first few weeks of their prenatal development. 1.7% of people actually go on to be born intersex. However, most of us know little about intersex variations. This is only partly due to their occasional invisibility. Intersex people have historically faced deep social stigma-the assumption that they were simply bizarre aberrations from the human norm. Furthermore, intersex infants have been widely subjected to systematic institutional mistreatment, particularly within medical settings. Finally, some people with intersex variations have simply tried to integrate themselves unnoticed into the socially accepted categories of male and female. Drawing on stories and statistics from the first national study of intersex the book argues for a distinct 'Intersex Studies' framework to address intersex issues and identity-foregrounding people with intersex variations' own goals, perspectives and experiences. Collected in 2015 and arranged in thematic chapters, the data presented here on 272 individuals gives a penetrating account of historically and socially obscured experience. This book is an important and long-overdue contribution to our understanding of human sexuality and a must-read for people with intersex variations, health practitioners, psychologists, advocacy groups, students, and anybody interested in knowing more about our diverse human make-up.
The Cambridge Handbook of Computing Education Research
Author: Sally A. Fincher
Publisher:
ISBN: 1108756212
Category : Computers
Languages : en
Pages : 924
Book Description
This is an authoritative introduction to Computing Education research written by over 50 leading researchers from academia and the industry.
Publisher:
ISBN: 1108756212
Category : Computers
Languages : en
Pages : 924
Book Description
This is an authoritative introduction to Computing Education research written by over 50 leading researchers from academia and the industry.
Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R
Author: Joseph F. Hair Jr.
Publisher: Springer Nature
ISBN: 3030805190
Category : Business & Economics
Languages : en
Pages : 208
Book Description
Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method’s flexibility in terms of data requirements and measurement specification. This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software’s SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the “how-tos” of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.
Publisher: Springer Nature
ISBN: 3030805190
Category : Business & Economics
Languages : en
Pages : 208
Book Description
Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method’s flexibility in terms of data requirements and measurement specification. This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software’s SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the “how-tos” of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.
The Medical Journal of Australia
Author:
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages : 552
Book Description
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages : 552
Book Description
Business and Consumer Analytics: New Ideas
Author: Pablo Moscato
Publisher: Springer
ISBN: 3030062228
Category : Computers
Languages : en
Pages : 1000
Book Description
This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational social science, interested in the latest applications of new computer science methodologies. The chapters are contributed by leading experts in the associated fields.The chapters cover technical aspects at different levels, some of which are introductory and could be used for teaching. Some chapters aim at building a common understanding of the methodologies and recent application areas including the introduction of new theoretical results in the complexity of core problems. Business and marketing professionals may use the book to familiarize themselves with some important foundations of data science. The work is a good starting point to establish an open dialogue of communication between professionals and researchers from different fields. Together, the two volumes present a number of different new directions in Business and Customer Analytics with an emphasis in personalization of services, the development of new mathematical models and new algorithms, heuristics and metaheuristics applied to the challenging problems in the field. Sections of the book have introductory material to more specific and advanced themes in some of the chapters, allowing the volumes to be used as an advanced textbook. Clustering, Proximity Graphs, Pattern Mining, Frequent Itemset Mining, Feature Engineering, Network and Community Detection, Network-based Recommending Systems and Visualization, are some of the topics in the first volume. Techniques on Memetic Algorithms and their applications to Business Analytics and Data Science are surveyed in the second volume; applications in Team Orienteering, Competitive Facility-location, and Visualization of Products and Consumers are also discussed. The second volume also includes an introduction to Meta-Analytics, and to the application areas of Fashion and Travel Analytics. Overall, the two-volume set helps to describe some fundamentals, acts as a bridge between different disciplines, and presents important results in a rapidly moving field combining powerful optimization techniques allied to new mathematical models critical for personalization of services. Academics and professionals working in the area of business anyalytics, data science, operations research and marketing will find this handbook valuable as a reference. Students studying these fields will find this handbook useful and helpful as a secondary textbook.
Publisher: Springer
ISBN: 3030062228
Category : Computers
Languages : en
Pages : 1000
Book Description
This two-volume handbook presents a collection of novel methodologies with applications and illustrative examples in the areas of data-driven computational social sciences. Throughout this handbook, the focus is kept specifically on business and consumer-oriented applications with interesting sections ranging from clustering and network analysis, meta-analytics, memetic algorithms, machine learning, recommender systems methodologies, parallel pattern mining and data mining to specific applications in market segmentation, travel, fashion or entertainment analytics. A must-read for anyone in data-analytics, marketing, behavior modelling and computational social science, interested in the latest applications of new computer science methodologies. The chapters are contributed by leading experts in the associated fields.The chapters cover technical aspects at different levels, some of which are introductory and could be used for teaching. Some chapters aim at building a common understanding of the methodologies and recent application areas including the introduction of new theoretical results in the complexity of core problems. Business and marketing professionals may use the book to familiarize themselves with some important foundations of data science. The work is a good starting point to establish an open dialogue of communication between professionals and researchers from different fields. Together, the two volumes present a number of different new directions in Business and Customer Analytics with an emphasis in personalization of services, the development of new mathematical models and new algorithms, heuristics and metaheuristics applied to the challenging problems in the field. Sections of the book have introductory material to more specific and advanced themes in some of the chapters, allowing the volumes to be used as an advanced textbook. Clustering, Proximity Graphs, Pattern Mining, Frequent Itemset Mining, Feature Engineering, Network and Community Detection, Network-based Recommending Systems and Visualization, are some of the topics in the first volume. Techniques on Memetic Algorithms and their applications to Business Analytics and Data Science are surveyed in the second volume; applications in Team Orienteering, Competitive Facility-location, and Visualization of Products and Consumers are also discussed. The second volume also includes an introduction to Meta-Analytics, and to the application areas of Fashion and Travel Analytics. Overall, the two-volume set helps to describe some fundamentals, acts as a bridge between different disciplines, and presents important results in a rapidly moving field combining powerful optimization techniques allied to new mathematical models critical for personalization of services. Academics and professionals working in the area of business anyalytics, data science, operations research and marketing will find this handbook valuable as a reference. Students studying these fields will find this handbook useful and helpful as a secondary textbook.
Handbook of Teaching with Technology in Management, Leadership, and Business
Author: Stuart Allen
Publisher: Edward Elgar Publishing
ISBN: 1789901650
Category : Education
Languages : en
Pages : 469
Book Description
Ever-evolving technological innovation creates both opportunities and challenges for educators aiming to achieve meaningful and effective learning in the classroom and to equip students with a well-honed set of technology skills as they enter the professional world. The Handbook of Teaching with Technology in Management, Leadership, and Business is written by experienced instructors using technology in novel and impactful ways in their undergraduate and graduate courses, as well as researchers reporting and reflecting on studies and literature that can guide them on the how and why of teaching with technology.
Publisher: Edward Elgar Publishing
ISBN: 1789901650
Category : Education
Languages : en
Pages : 469
Book Description
Ever-evolving technological innovation creates both opportunities and challenges for educators aiming to achieve meaningful and effective learning in the classroom and to equip students with a well-honed set of technology skills as they enter the professional world. The Handbook of Teaching with Technology in Management, Leadership, and Business is written by experienced instructors using technology in novel and impactful ways in their undergraduate and graduate courses, as well as researchers reporting and reflecting on studies and literature that can guide them on the how and why of teaching with technology.
Business Statistics
Author: Robert A. Donnelly, Jr.
Publisher: Prentice Hall
ISBN: 9780132145398
Category : Commercial statistics
Languages : en
Pages : 0
Book Description
The text that speaks to students. Robert A. Donnelly's new textbook Business Statistics removes the intimidation factor from learning business statistics by presenting a writing style that readers feel comfortable with. Through this straightforward, conversational approach, Donnelly effectively explains the key concepts readers need to know, and why they need to know them. Take a tour of Robert A. Donnelly's Business Statistics: http://bit.ly/tOJph9.
Publisher: Prentice Hall
ISBN: 9780132145398
Category : Commercial statistics
Languages : en
Pages : 0
Book Description
The text that speaks to students. Robert A. Donnelly's new textbook Business Statistics removes the intimidation factor from learning business statistics by presenting a writing style that readers feel comfortable with. Through this straightforward, conversational approach, Donnelly effectively explains the key concepts readers need to know, and why they need to know them. Take a tour of Robert A. Donnelly's Business Statistics: http://bit.ly/tOJph9.
Artificial Intelligence in Education
Author: Wayne Holmes
Publisher:
ISBN: 9781794293700
Category : Computers
Languages : en
Pages : 244
Book Description
"The landscape for education has been rapidly changing in the last years: demographic changes affecting the makeup of families, multiple school options available to children, wealth disparities, the global economy demanding new skills from workers, and continued breakthroughs in technology are some of the factors impacting education. Given these changes, how can schools continue to prepare students for the future? In a world where information is readily available online, how can schools continue to be relevant? The emergence of Artificial Intelligence (AI) has exacerbated the need to have these conversations. Its impact on education and the multiple possibilities that it offers are putting pressure on educational leaders to reformulate the school curriculum and the channels to deliver it. The book "Artificial Intelligence in Education, Promises and Implications for Teaching and Learning" by the Center for Curriculum Redesign immerses the reader in a discussion on what to teach students in the era of AI and examines how AI is already demanding much needed updates to the school curriculum, including modernizing its content, focusing on core concepts, and embedding interdisciplinary themes and competencies with the end goal of making learning more enjoyable and useful in students' lives. The second part of the book dives into the history of AI in education, its techniques and applications -including the way AI can help teachers be more effective, and finishes on a reflection about the social aspects of AI. This book is a must-read for educators and policy-makers who want to prepare schools to face the uncertainties of the future and keep them relevant." --Amada Torres, VP, Studies, Insights, and Research, National Association of Independent School (NAIS) "The rapid advances in technology in recent decades have already brought about substantial changes in education, opening up new opportunities to teach and learn anywhere anytime and providing new tools and methods to improve learning outcomes and support innovative teaching and learning.Research into artificial intelligence and machine learning in education goes back to the late 1970s. Artificial intelligence methods were generally employed in two ways: to design and facilitate interactive learning environments that would support learning by doing, and to design and implement tutoring systems by adapting instructions with respect to the students' knowledge state.But this is just the beginning. As Artificial Intelligence in Education shows, AI is increasingly used in education and learning contexts. The collision of three areas - data, computation and education - is set to have far-reaching consequences, raising fundamental questions about the nature of education: what is taught and how it is taught. Artificial Intelligence in Education is an important, if at times disturbing, contribution to the debate on AI and provides a detailed analysis on how it may affect the way teachers and students engage in education. The book describes how artificial intelligence may impact on curriculum design, on the individualisation of learning, and on assessment, offering some tantalising glimpses into the future (the end of exams, your very own lifelong learning companion) while not falling victim to tech-hype. The enormous ethical, technical and pedagogical challenges ahead are spelt out, and there is a real risk that the rapid advances in artificial intelligence products and services will outstrip education systems' capacity to understand, manage and integrate them appropriately. As the book concludes: "We can either leave it to others (the computer scientists, AI engineers and big tech companies) to decide how artificial intelligence in education unfolds, or we can engage in productive dialogue."I commend this book to anyone concerned with the future of education in a digital world." --Marc Durando, Executive Director, European Schoolnet
Publisher:
ISBN: 9781794293700
Category : Computers
Languages : en
Pages : 244
Book Description
"The landscape for education has been rapidly changing in the last years: demographic changes affecting the makeup of families, multiple school options available to children, wealth disparities, the global economy demanding new skills from workers, and continued breakthroughs in technology are some of the factors impacting education. Given these changes, how can schools continue to prepare students for the future? In a world where information is readily available online, how can schools continue to be relevant? The emergence of Artificial Intelligence (AI) has exacerbated the need to have these conversations. Its impact on education and the multiple possibilities that it offers are putting pressure on educational leaders to reformulate the school curriculum and the channels to deliver it. The book "Artificial Intelligence in Education, Promises and Implications for Teaching and Learning" by the Center for Curriculum Redesign immerses the reader in a discussion on what to teach students in the era of AI and examines how AI is already demanding much needed updates to the school curriculum, including modernizing its content, focusing on core concepts, and embedding interdisciplinary themes and competencies with the end goal of making learning more enjoyable and useful in students' lives. The second part of the book dives into the history of AI in education, its techniques and applications -including the way AI can help teachers be more effective, and finishes on a reflection about the social aspects of AI. This book is a must-read for educators and policy-makers who want to prepare schools to face the uncertainties of the future and keep them relevant." --Amada Torres, VP, Studies, Insights, and Research, National Association of Independent School (NAIS) "The rapid advances in technology in recent decades have already brought about substantial changes in education, opening up new opportunities to teach and learn anywhere anytime and providing new tools and methods to improve learning outcomes and support innovative teaching and learning.Research into artificial intelligence and machine learning in education goes back to the late 1970s. Artificial intelligence methods were generally employed in two ways: to design and facilitate interactive learning environments that would support learning by doing, and to design and implement tutoring systems by adapting instructions with respect to the students' knowledge state.But this is just the beginning. As Artificial Intelligence in Education shows, AI is increasingly used in education and learning contexts. The collision of three areas - data, computation and education - is set to have far-reaching consequences, raising fundamental questions about the nature of education: what is taught and how it is taught. Artificial Intelligence in Education is an important, if at times disturbing, contribution to the debate on AI and provides a detailed analysis on how it may affect the way teachers and students engage in education. The book describes how artificial intelligence may impact on curriculum design, on the individualisation of learning, and on assessment, offering some tantalising glimpses into the future (the end of exams, your very own lifelong learning companion) while not falling victim to tech-hype. The enormous ethical, technical and pedagogical challenges ahead are spelt out, and there is a real risk that the rapid advances in artificial intelligence products and services will outstrip education systems' capacity to understand, manage and integrate them appropriately. As the book concludes: "We can either leave it to others (the computer scientists, AI engineers and big tech companies) to decide how artificial intelligence in education unfolds, or we can engage in productive dialogue."I commend this book to anyone concerned with the future of education in a digital world." --Marc Durando, Executive Director, European Schoolnet
Nursing Student Retention
Author: Marianne R. Jeffreys
Publisher: Springer Publishing Company
ISBN: 9780826134455
Category : Education
Languages : en
Pages : 328
Book Description
In the current nursing shortage, student retention is a priority concern for nurse educators, health care institutions, and the patients they serve. This book presents an organizing framework for understanding student retention, identifying at-risk students, and developing both diagnostic-prescriptive strategies to facilitate success and innovations in teaching and educational research. The author's conceptual model for student retention, "Nursing Undergraduate Retention and Success," is interwoven throughout, along with essential information for developing, implementing, and evaluating retention strategies. An entire chapter is devoted to how to set up a Student Resource Center. Most chapters conclude with "Educator-in-Action" vignettes, which help illustrate practical application of strategies discussed. Nurse educators at all levels will find this an important resource.
Publisher: Springer Publishing Company
ISBN: 9780826134455
Category : Education
Languages : en
Pages : 328
Book Description
In the current nursing shortage, student retention is a priority concern for nurse educators, health care institutions, and the patients they serve. This book presents an organizing framework for understanding student retention, identifying at-risk students, and developing both diagnostic-prescriptive strategies to facilitate success and innovations in teaching and educational research. The author's conceptual model for student retention, "Nursing Undergraduate Retention and Success," is interwoven throughout, along with essential information for developing, implementing, and evaluating retention strategies. An entire chapter is devoted to how to set up a Student Resource Center. Most chapters conclude with "Educator-in-Action" vignettes, which help illustrate practical application of strategies discussed. Nurse educators at all levels will find this an important resource.