Edward T. Vieira, Jr. - Böcker

Public Relations Planning: A Practical Guide for Strategic Communication provides students with an in-depth understanding of the steps involved in planning and executing a successful PR campaign. Taking a strategic approach to the subject, the authors bring years of practical experience to the project, helping students see how theoretical elements fit together in reality, and preparing them for the workplace. At the same time, the book goes beyond an introductory discussion of the theory of PR planning, incorporating material from cutting-edge research in the field.This fully updated second edition explores current trends and consequences surrounding the COVID-19 pandemic; covers the latest technological tools and techniques, as well as the ever-changing landscape of social media; and examines the role of data analytics in the PR decision-making process. Examples and vignettes have been updated so that they reflect the current state of the global PR environment, whilst learning objectives, key term definitions, and chapter exercises facilitate comprehension.Providing a solid foundation to the PR planning process, this text is core reading for advanced undergraduate, postgraduate, and executive education students studying Public Relations Strategy, Public Relations Campaigns, and Strategic Communications.Online resources include PowerPoint lecture slides, a test bank, answers for end-of-chapter questions, and instructor notes for the case studies.Public Relations Planning is featured on the International Public Relations Association website.

Public Relations Planning: A Practical Guide for Strategic Communication provides students with an in-depth understanding of the steps involved in planning and executing a successful PR campaign. Taking a strategic approach to the subject, the authors bring years of practical experience to the project, helping students see how theoretical elements fit together in reality, and preparing them for the workplace. At the same time, the book goes beyond an introductory discussion of the theory of PR planning, incorporating material from cutting-edge research in the field.This fully updated second edition explores current trends and consequences surrounding the COVID-19 pandemic; covers the latest technological tools and techniques, as well as the ever-changing landscape of social media; and examines the role of data analytics in the PR decision-making process. Examples and vignettes have been updated so that they reflect the current state of the global PR environment, whilst learning objectives, key term definitions, and chapter exercises facilitate comprehension.Providing a solid foundation to the PR planning process, this text is core reading for advanced undergraduate, postgraduate, and executive education students studying Public Relations Strategy, Public Relations Campaigns, and Strategic Communications.Online resources include PowerPoint lecture slides, a test bank, answers for end-of-chapter questions, and instructor notes for the case studies.Public Relations Planning is featured on the International Public Relations Association website.

An Introduction to Applied Statistics offers a comprehensive and accessible foundation in applied statistics, empowering students with the essential concepts and practical skills necessary for data-driven decision-making in today's world. Thoroughly covering key topics – including data management, probability fundamentals, data screening, descriptive statistics, and a broad spectrum of inferential analysis techniques – this indispensable guide demystifies statistical concepts and equips students to confidently apply statistical analysis in real-world contexts.With a systematic, beginner-friendly approach, the author assumes no prior knowledge, making complex statistical foundations accessible to students from a variety of disciplines. Concise, digestible chapters build statistical competencies within a practical, evidence-based framework, minimizing technical jargon to facilitate comprehension. Now in its latest edition, the book is fully updated with SPSS v29.0 instructions and screenshots, ensuring compatibility with the most recent software developments. It also includes expanded content on addressing nonrandom sampling issues, such as case weighting, and delves into advanced topics like factor analysis, logistic regression, cluster analysis, and discriminant analysis, catering to the evolving needs of students and professionals alike.An invaluable resource for introductory quantitative research methods courses in psychology, social sciences, business, and marketing, this text combines practical examples, online resources, and an approachable format to support both learning and application.Key Features:Concise chapters integrating real-world applications: Seamlessly blends statistical skills with practical scenarios, illustrating the flexible use of statistics in evidence-based decision-making.Accessible presentation: Offers practical explanations of statistical procedures with minimal technical jargon, enhancing understanding and retention.Foundational preparation: Early chapters are designed to equip students for advanced statistical procedures, building a strong foundational knowledge.Step-by-step SPSS instructions: Provides detailed SPSS v29.0 guidance with screenshots to reinforce comprehension and hands-on skills.Real-world exercises with answers: Includes practical exercises complete with solutions to facilitate active learning and application.Comprehensive instructor resources: Offers extensive teaching support with chapter PowerPoints and test banks to enhance the educational experience.

An Introduction to Applied Statistics offers a comprehensive and accessible foundation in applied statistics, empowering students with the essential concepts and practical skills necessary for data-driven decision-making in today's world. Thoroughly covering key topics – including data management, probability fundamentals, data screening, descriptive statistics, and a broad spectrum of inferential analysis techniques – this indispensable guide demystifies statistical concepts and equips students to confidently apply statistical analysis in real-world contexts.With a systematic, beginner-friendly approach, the author assumes no prior knowledge, making complex statistical foundations accessible to students from a variety of disciplines. Concise, digestible chapters build statistical competencies within a practical, evidence-based framework, minimizing technical jargon to facilitate comprehension. Now in its latest edition, the book is fully updated with SPSS v29.0 instructions and screenshots, ensuring compatibility with the most recent software developments. It also includes expanded content on addressing nonrandom sampling issues, such as case weighting, and delves into advanced topics like factor analysis, logistic regression, cluster analysis, and discriminant analysis, catering to the evolving needs of students and professionals alike.An invaluable resource for introductory quantitative research methods courses in psychology, social sciences, business, and marketing, this text combines practical examples, online resources, and an approachable format to support both learning and application.Key Features:Concise chapters integrating real-world applications: Seamlessly blends statistical skills with practical scenarios, illustrating the flexible use of statistics in evidence-based decision-making.Accessible presentation: Offers practical explanations of statistical procedures with minimal technical jargon, enhancing understanding and retention.Foundational preparation: Early chapters are designed to equip students for advanced statistical procedures, building a strong foundational knowledge.Step-by-step SPSS instructions: Provides detailed SPSS v29.0 guidance with screenshots to reinforce comprehension and hands-on skills.Real-world exercises with answers: Includes practical exercises complete with solutions to facilitate active learning and application.Comprehensive instructor resources: Offers extensive teaching support with chapter PowerPoints and test banks to enhance the educational experience.

Introduction to Real World Statistics provides students with the basic concepts and practices of applied statistics, including data management and preparation; an introduction to the concept of probability; data screening and descriptive statistics; various inferential analysis techniques; and a series of exercises that are designed to integrate core statistical concepts. The author’s systematic approach, which assumes no prior knowledge of the subject, equips student practitioners with a fundamental understanding of applied statistics that can be deployed across a wide variety of disciplines and professions. Notable features include: short, digestible chapters that build and integrate statistical skills with real-world applications, demonstrating the flexible usage of statistics for evidence-based decision-making statistical procedures presented in a practical context with less emphasis on technical jargon early chapters that build a foundation before presenting statistical procedures SPSS step-by-step detailed instructions designed to reinforce student understanding real world exercises complete with answers chapter PowerPoints and test banks for instructors.

Introduction to Real World Statistics provides students with the basic concepts and practices of applied statistics, including data management and preparation; an introduction to the concept of probability; data screening and descriptive statistics; various inferential analysis techniques; and a series of exercises that are designed to integrate core statistical concepts. The author’s systematic approach, which assumes no prior knowledge of the subject, equips student practitioners with a fundamental understanding of applied statistics that can be deployed across a wide variety of disciplines and professions. Notable features include: short, digestible chapters that build and integrate statistical skills with real-world applications, demonstrating the flexible usage of statistics for evidence-based decision-making statistical procedures presented in a practical context with less emphasis on technical jargon early chapters that build a foundation before presenting statistical procedures SPSS step-by-step detailed instructions designed to reinforce student understanding real world exercises complete with answers chapter PowerPoints and test banks for instructors.