An Introduction to Applied Statistics

Rezensionen / Stimmen

"Dr. Vieira's book is comprehensive, clear, and has great examples to illustrate the concepts." -- Clayton W. Barrows, Professor Emeritus of Hospitality Management, University of New Hampshire, USA

"This is a textbook that attempts to bridge areas of content that are traditionally addressed independently: a. the conceptual knowledge of technical information; b. the real-world application of such technical knowledge; and c. a leading software tool that assists a researcher in applying the conceptual knowledge of technical information to a real-world context. Vieira seems to have used the feedback he received from his students over several decades to successfully build a bridge across these three content areas. This textbook and its approach are a welcome addition for making the process of learning statistics in the social sciences a lot smoother and a lot more relevant to students." -- Michael G. Elasmar, Associate Professor and Director of the Marketing Communication Research graduate program, Boston University, USA

"Professor Vieira combines a straightforward approach to applied statistics with the most accessible statistical package, SPSS. His non-technical, clear, and concise writing style makes An Introduction to Applied Statistics a valuable handbook and reference for students and practitioners as well as an effective text for introductory statistics courses." -- John Lowe, Associate Dean Emeritus for Undergraduate Programs, Simmons University, USA

"This book serves students being introduced to quantitative research as well as research professionals seeking to add to their statistical analysis and quantitative reasoning skills. Its emphasis on providing the reasons and prerequisites for using a statistical procedure make it valuable as a book-shelf reference as well as a textbook. Integration of relevant exercises to be carried out with SPSS enhances understanding of general statistical concepts with a body of hands-on experience, and that combination results in a very valuable skill set that will serve the reader well for years." -- James H. Watt, Professor Emeritus, University of Connecticut, USA "Dr. Vieira's book is comprehensive, clear, and has great examples to illustrate the concepts." -- Clayton W. Barrows, Professor Emeritus of Hospitality Management, University of New Hampshire, USA

"This is a textbook that attempts to bridge areas of content that are traditionally addressed independently: a. the conceptual knowledge of technical information; b. the real-world application of such technical knowledge; and c. a leading software tool that assists a researcher in applying the conceptual knowledge of technical information to a real-world context. Vieira seems to have used the feedback he received from his students over several decades to successfully build a bridge across these three content areas. This textbook and its approach are a welcome addition for making the process of learning statistics in the social sciences a lot smoother and a lot more relevant to students." -- Michael G. Elasmar, Associate Professor and Director of the Marketing Communication Research graduate program, Boston University, USA

"Professor Vieira combines a straightforward approach to applied statistics with the most accessible statistical package, SPSS. His non-technical, clear, and concise writing style makes An Introduction to Applied Statistics a valuable handbook and reference for students and practitioners as well as an effective text for introductory statistics courses." -- John Lowe, Associate Dean Emeritus for Undergraduate Programs, Simmons University, USA

"This book serves students being introduced to quantitative research as well as research professionals seeking to add to their statistical analysis and quantitative reasoning skills. Its emphasis on providing the reasons and prerequisites for using a statistical procedure make it valuable as a book-shelf reference as well as a textbook. Integration of relevant exercises to be carried out with SPSS enhances understanding of general statistical concepts with a body of hands-on experience, and that combination results in a very valuable skill set that will serve the reader well for years." -- James H. Watt, Professor Emeritus, University of Connecticut, USA