This book helps students develop a conceptual understanding of a variety of statistical tests by linking the statistics with the computational steps and output from SPSS. Learning how statistical ideas map onto computation in SPSS will help students build a better understanding of both. For example, seeing exactly how the concept of variance is used in SPSS-how it is converted into a number based on real data, which other concepts it is associated with, and where it appears in various statistical tests-will not only help students understand how to use statistical tests in SPSS and how to interpret their output, but will also teach them about the concept of variance itself. Each chapter begins with a student-friendly explanation of the concept behind each statistical test and how the test relates to that concept. The authors then walk through the steps to compute the test in SPSS and the output, pointing out wherever possible how the SPSS procedure and output connects back to the conceptual underpinnings of the test. Each of the steps is accompanied by annotated screen shots from SPSS, and relevant components of output are highlighted in both the text and in the figures. Sections explain the conceptual machinery underlying the statistical tests. In contrast to merely presenting the equations for computing the statistic, these sections describe the idea behind each test in plain language and help students make the connection between the ideas and SPSS procedures. These include extensive treatment of custom hypothesis testing in ANOVA, MANOVA, ANCOVA, and regression, and an entire chapter on the advanced matrix algebra functions available only through syntax in SPSS. The book will be appropriate for both advanced undergraduate and graduate level courses in statistics.
The book's companion website (see link above) provides students with a wide range of invented and real published research datasets. Lecturers can find multiple choice questions and PowerPoint slides for each chapter to support their teaching.
The book's companion website (see link above) provides students with a wide range of invented and real published research datasets. Lecturers can find multiple choice questions and PowerPoint slides for each chapter to support their teaching.
A Quick and Easy Guide to IBM (R) SPSS (R) Statistics, STATA, and Other Statistical Software
This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in SPSS, Stata, and other programmes. 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 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. Key Features: - Step-by-step instructions on how to run statistical tests enables students to run complex statistical tests quickly, efficiently, and accurately. - Clear explanations of the tests allow students to better understand the theory behind the tests and their proper use. - Includes instructions using both the menus and syntax beginners need. - Provides more advanced students the direction to run quick and efficient analyses (syntax). This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioural sciences who need assistance in understanding the various statistical packages.
Introductory Statistics for Health & Nursing using SPSS is an impressive introductory statistics text ideal for all health science and nursing students. Health and nursing students can be anxious and lacking in confidence when it comes to handling statistics. This book has been developed with this readership in mind. This accessible text eschews long and off-putting statistical formulae in favour of non-daunting practical and SPSS-based examples. What's more, its content will fit ideally with the common course content of stats courses in the field. Introductory Statistics for Health & Nursing using SPSS is also accompanied by a companion website containing data-sets and examples for use by lecturers with their students. The inclusion of real-world data and a host of health-related examples should make this an ideal core text for any introductory statistics course in the field.
Introductory Statistics for Health & Nursing using SPSS is an impressive introductory statistics text ideal for all health science and nursing students. Health and nursing students can be anxious and lacking in confidence when it comes to handling statistics. This book has been developed with this readership in mind. This accessible text eschews long and off-putting statistical formulae in favour of non-daunting practical and SPSS-based examples. What's more, its content will fit ideally with the common course content of stats courses in the field. Introductory Statistics for Health & Nursing using SPSS is also accompanied by a companion website containing data-sets and examples for use by lecturers with their students. The inclusion of real-world data and a host of health-related examples should make this an ideal core text for any introductory statistics course in the field.
SPSS syntax is the command language used by SPSS to carry out all of its commands and functions. Jacqueline Collier's book is primarily aimed at people who have never used the syntax option in SPSS, or have just started to use it. This is a genuinely introductory text designed to show readers how to try using syntax themselves and to then support them through its use. It is ideal for those who are experienced in using SPSS through the usual button menu-driven graphical interface (GIF), but who are novices regarding syntax. This book supports the use of SPSS syntax in addition to the usual button and menu-driven graphical interface (GIF) using the two methods together, in a complementary way. The book is written in such a way as to enable you to pick and choose how much you rely on one method over the other, encouraging you to use them side-by-side, with a gradual increase in use of syntax as the knowledge, skills and confidence develop. The text outlines: - how to become familiar with the syntax commands through the use of the log; - how to create and manage the SPSS journal and syntax files; - and how to use them throughout the data entry, management and analysis process. Collier covers all aspects of data management from data entry through to data analysis and even includes managing the errors and the error messages created by SPSS. Syntax commands are presented with explanations of what each of the lines contributes and the value of syntax is clearly demonstrated through examples and explanation of their use. This book is of great benefit for all those carrying out quantitative research in the health and social sciences, who can benefit from SPSS syntax's capacity to save time, reduce errors, allow a data audit trail and, perhaps best of all, which will not actually require any initial knowledge of programming.
SPSS syntax is the command language used by SPSS to carry out all of its commands and functions. Jacqueline Collier's book is primarily aimed at people who have never used the syntax option in SPSS, or have just started to use it. This is a genuinely introductory text designed to show readers how to try using syntax themselves and to then support them through its use. It is ideal for those who are experienced in using SPSS through the usual button menu-driven graphical interface (GIF), but who are novices regarding syntax. This book supports the use of SPSS syntax in addition to the usual button and menu-driven graphical interface (GIF) using the two methods together, in a complementary way. The book is written in such a way as to enable you to pick and choose how much you rely on one method over the other, encouraging you to use them side-by-side, with a gradual increase in use of syntax as the knowledge, skills and confidence develop. The text outlines: - how to become familiar with the syntax commands through the use of the log; - how to create and manage the SPSS journal and syntax files; - and how to use them throughout the data entry, management and analysis process. Collier covers all aspects of data management from data entry through to data analysis and even includes managing the errors and the error messages created by SPSS. Syntax commands are presented with explanations of what each of the lines contributes and the value of syntax is clearly demonstrated through examples and explanation of their use. This book is of great benefit for all those carrying out quantitative research in the health and social sciences, who can benefit from SPSS syntax's capacity to save time, reduce errors, allow a data audit trail and, perhaps best of all, which will not actually require any initial knowledge of programming.
Accessibly written and easy to use, Applied Statistics Using SPSS is an all-in-one self-study guide to SPSS and do-it-yourself guide to statistics. Based around the needs of undergraduate students embarking on their own research project, the text's self-help style is designed to boost the skills and confidence of those that will need to use SPSS in the course of doing their research project. The book is pedagogically well developed and contains many screen dumps and exercises, glossary terms and worked examples. Divided into two parts, Applied Statistics Using SPSS covers : 1. A self-study guide for learning how to use SPSS. 2. A reference guide for selecting the appropriate statistical technique and a stepwise do-it-yourself guide for analysing data and interpreting the results. 3. Readers of the book can download the SPSS data file that is used for most of the examples throughout the book. Geared explicitly for undergraduate needs, this is an easy to follow SPSS book that should provide a step-by-step guide to research design and data analysis using SPSS.
