From R1 Without question, statistics is one of the most challenging courses for students in the social and behavioral sciences. Enrolling in their first statistics course, students are often apprehensive or extremely anxious toward. This book contains everything you need to know to get. Brand: For Dummies. Model: For Dummies Spss Statistics.
A Conceptual Guide to Statistics Using SPSS
Statistical analysis skills can give you an edge in todays job market. With SPSS SPSS Model: Spss New 2nd Edition Now Available! The second edition of A Student Guide to SPSS provides easy to follow step-by-step instructions on how to compute introductory and advanced level statistics using one of the.
SPSS is, essentially, a visually-driven program, but most texts rely primarily on a verbal approach to describe its use. Throughout the book, data. What is unique about Eelko Huizingh's approach is that this. Designed to reduce fear. Jacqueline Collier's book is primarily aimed at people who have never used the syntax. This unique text helps students develop a conceptual understanding of a variety of statistical tests by linking the ideas learned in a statistics class from.
Pollock III gets students using actual political data and working with a software tool that prepares them for future political. Brand: Cq Press. From R This is a complete guide to statistics and SPSS for social science students. Statistics with SPSS for Social Science provides a step-by-step explanation of all the important statistical concepts, tests and procedures. It is. Brand: Routledge. For courses in Statistics and Research Methods. Student Friendly, Step-by-Step Approach. Designed to be hands-on with the user performing the analyses alongside on their computer as they read through each chapter.
Without question, statistics. The book does a very good job presenting the challenge of data analysis and the experience of being a serious researcher looking at important problems; it illustrates how a variety of quantitative methods can be applied to real data to tease out and evaluate the inferences suggested by that data. I strongly recommend this book to instructors of a one- or two-semester introductory statistics course.
Lissitz, University of Maryland "This text by Weinberg and Abramowitz is an excellent choice for an undergraduate or elementary graduate course for non-majors. Stressing concepts over computation, it focuses on essential material for students in education and the social sciences. The book reads easily, like a set of well-constructed lectures that begin with simple fundamental concepts. Yet modern and relatively advanced topics, such as uses of the bootstrap, are also treated. Rather than focusing on hand calculations, the book integrates instruction on using SPSS directly into the text.
This enables student exploration of actual research data sets, beginning in the first chapters. Corter, Columbia University "This book covers a broad range of topics in introductory statistics, employing a hands-on, problem-based approach. The latest edition expands an already long list of topics to include bootstrap techniques and experimental design considerations. By providing detailed, worked-through examples based on real data and substantive research questions, the authors guide the student through the data analysis process from beginning to end.
However, this is no 'cookbook' — each section builds on the concepts and techniques established previously, and the reader is encouraged to explore the nuances involved in effective statistical analysis. What is particularly unique about the authors' exposition is that it can be read on many levels; this book will serve well as a course textbook or as a handy reference for the applied researcher. Scott, New York University. Newsletter Google 4. Help pages. Prothero Michael J. Benton Richard Fortey View All.
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About this book Written in a clear and lively tone, Statistics Using IBM SPSS: An Integrative Approach provides a data-centric approach to statistics with integrated SPSS version 22 commands, ensuring that students gain both a deep conceptual understanding of statistics and practical facility with the leading statistical software package. Contents 1. Nonparametric methods Customer Reviews Review this book.
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It covers all of the major statistical analyses anyone would need to know about. I found it difficult to read at times because I was not given the figures to see in order to understand better the text. There are not many texts like this available so it would allow instructors some flexibility in choosing a text appropriate for their needs. At this point it is too advanced for my students but I might buy a personal edition as a reference for myself. Increasingly there are non-traditional students who are entering the education pipelines who need precise resources to guide them in accomplishing the tasks they need to without going through.
The author has done a nice job with this. I believe these two things distinguish it from other like texts.
Adopt: Very likely. So, it would definitely go further than any other book I know in fulfilling that need. Clear explanations and nice visuals. This book would possibly serve as a nice supplementary text in a course in which another book with more theoretical information about the methods. I didn't adopt because the book doesn't include the nonparametric methods I am required to teach.
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Compared to other potential texts, this book is an easy read that is less intimidating, but contains much of the same information. The availability of data files and PowerPoint slides from the author's website facilitated the understanding of complex numerical concepts that can be somewhat challenging. Request e-review copy. If you require a print review copy, please call: ext. Skip to main content.
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