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داده‌های کلان در پژوهش‌های روان‌شناختی

Big data in psychological research.

جلد کتاب داده‌های کلان در پژوهش‌های روان‌شناختی

معرفی کتاب «داده‌های کلان در پژوهش‌های روان‌شناختی» (با عنوان لاتین Big data in psychological research.) نوشتهٔ Sang Eun Woo; Louis Tay (Psychologist); Robert W. Proctor، منتشرشده توسط نشر American Psychological Association در سال 2020. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.

Technological advances have led to an abundance of widely-available data on every aspect of life today. Psychologists today have more information than ever before on human cognition, emotion, attitudes, and behavior. Big Data in Psychological Research addresses the opportunities and challenges and that this data presents to psychological researchers. This edited collection provides an overview of theoretical approaches to the utility and purpose of Big Data, approaches to research design and analysis, collection methods, applications, limitations, best practice recommendations, and key issues related to privacy, security, and ethical concerns that are essential to understand for anyone working with big data. The book also discusses potential future research directions aimed at improving the quality and interpretation of big data projects, as well as the training and evaluation of psychological science teams that conduct research using big data. Contents Contributors Introduction Part I Background and Overview Chapter 1 Big Data Science: A Philosophy of Science Perspective Chapter 2 From Small-Scale Experiments to Big Data: Challenges and Opportunities for Experimental Psychologists Chapter 3 Big Data for Enhancing Measurement Quality Part II Innovations in Large-Scale Data Collection and Analysis Techniques Chapter 4 Internet Search and Page View Behavior Scores: Validity and Usefulness as Indicators of Psychological States Chapter 5 Observing Human Behavior Through Worldwide Network Cameras Chapter 6 Wearable Cameras, Machine Vision, and Big Data Analytics: Insights Into People and the Places They Go Chapter 7 Human-Guided Visual Analytics for Big Data Chapter 8 Text Mining: A Field of Opportunities Part III Applications Chapter 9 Big Data in the Science of Learning Chapter 10 Big Data in Social Psychology Chapter 11 Big Data in Health Care Delivery Chapter 12 The Continued Importance of Theory: Lessons From Big Data Approaches to Language and Cognition Chapter 13 Big Data in Developmental Psychology Chapter 14 Applying Principles of Big Data to the Workplace and Talent Analytics Part IV Recommendations for Responsible and Rigorous Use of Big Data Chapter 15 The Belmont Report in the Age of Big Data: Ethics at the Intersection of Psychological Science and Data Science Chapter 16 Promoting Robust and Reliable Big Data Research in Psychology Chapter 17 Privacy and Cybersecurity Challenges, Opportunities, and Recommendations: Personnel Selection in an Era of Online Application Systems and Big Data Chapter 18 Privacy Enhancing Techniques for Security Part V Concluding Remarks Chapter 19 Future Research Directions for Big Data in Psychology Index About the Editors Technological advances have led to an abundance of widely availabledata on every aspect of life today. Psychologists today have moreinformation than ever before on human cognition, emotion,attitudes, and behavior. Big Data in PsychologicalResearch addresses the opportunities and challenges that thesedata present to psychological researchers. This edited collectionprovides an overview of theoretical approaches to the utility andpurpose of big data, approaches to research design and analysis,collection methods, applications, limitations, best practicerecommendations, and key issues related to privacy, security, andethical concerns that are essential to understand for anyoneworking with big data. The book also discusses potential futureresearch directions aimed at improving the quality andinterpretation of big data projects, as well as the training andevaluation of psychological science teams that conduct researchusing big data.Big Data in Psychological Researchaddresses the many new challenges and opportunities that the use oflarge data sets presents to psychological researchers. The bookprovides an overview of the theory, approaches to research designand analysis, collection methods, applications, limitations,ethical concerns, best practice recommendations, issues related toprivacy and security, and potential future research directions thatare relevant to both psychologists working with big data and thosein related fields "Technological advances have led to an abundance of widely available data on every aspect of life today. Psychologists today have more information than ever before on human cognition, emotion, attitudes, and behavior. Big Data in Psychological Research addresses the opportunities and challenges that this data presents to psychological researchers. This edited collection provides an overview of theoretical approaches to the utility and purpose of big data, approaches to research design and analysis, collection methods, applications, limitations, best practice recommendations, and key issues related to privacy, security, and ethical concerns that are essential to understand for anyone working with big data. The book also discusses potential future research directions aimed at improving the quality and interpretation of big data projects, as well as the training and evaluation of psychological science teams that conduct research using big data"-- Provided by publisher Technological advances have led to an abundance of widely available data on every aspect of life today. Psychologists today have more information than ever before on human cognition, emotion, attitudes, and behavior. Big Data in Psychological Research addresses the opportunities and challenges that these data present to psychological researchers. This edited collection provides an overview of theoretical approaches to the utility and purpose of big data, approaches to research design and analysis, collection methods, applications, limitations, best practice recommendations, and key issues related to privacy, security, and ethical concerns that are essential to understand for anyone working with big data. The book also discusses potential future research directions aimed at improving the quality and interpretation of big data projects, as well as the training and evaluation of psychological science teams that conduct research using big data. Technological advances have led to an abundance of widely-available data on every aspect of life today. Psychologists today have more information than ever before on human cognition, emotion, attitudes, and behavior. __Psychological Research__
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