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Performing Data Analysis Using IBM SPSS

Features easy-to-follow insight and clear guidelines to perform data analysis using IBM SPSS® Performing Data Analysis Using IBM SPSS® uniquely addresses the presented statistical procedures with an example problem, detailed analysis, and the related data sets. Data entry procedures, variable naming, and step-by-step instructions for all analyses are provided in addition to IBM SPSS point-and-click methods, including details on how to view and manipulate output. Designed as a user’s guide for students and other interested readers to perform statistical data analysis with IBM SPSS, this book addresses the needs, level of sophistication, and interest in introductory statistical methodology on the part of readers in social and behavioral science, business, health-related, and education programs. Each chapter of Performing Data Analysis Using IBM SPSS covers a particular statistical procedure and offers the following: an example problem or analysis goal, together with a data set; IBM SPSS analysis with step-by-step analysis setup and accompanying screen shots; and IBM SPSS output with screen shots and narrative on how to read or interpret the results of the analysis. The book provides in-depth chapter coverage of: IBM SPSS statistical output Descriptive statistics procedures Score distribution assumption evaluations Bivariate correlation Regressing (predicting) quantitative and categorical variables Survival analysis t Test ANOVA and ANCOVA Multivariate group differences Multidimensional scaling Cluster analysis Nonparametric procedures for frequency data Performing Data Analysis Using IBM SPSS is an excellent text for upper-undergraduate and graduate-level students in courses on social, behavioral, and health sciences as well as secondary education, research design, and statistics. Also an excellent reference, the book is ideal for professionals and researchers in the social, behavioral, and health sciences; applied statisticians; and practitioners working in industry.

The book provides in-depth chapter coverage of: IBM SPSS statistical output Descriptive statistics procedures Score distribution assumption evaluations Bivariate correlation Regressing (predicting) quantitative and categorical variables ...

Quantitative Analysis and IBM® SPSS® Statistics

A Guide for Business and Finance

This guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance. This is the first of a two-part guide to SPSS for Windows, introducing data entry into SPSS, along with elementary statistical and graphical methods for summarizing and presenting data. Part I also covers the rudiments of hypothesis testing and business forecasting while Part II will present multivariate statistical methods, more advanced forecasting methods, and multivariate methods. IBM SPSS Statistics offers a powerful set of statistical and information analysis systems that run on a wide variety of personal computers. The software is built around routines that have been developed, tested, and widely used for more than 20 years. As such, IBM SPSS Statistics is extensively used in industry, commerce, banking, local and national governments, and education. Just a small subset of users of the package include the major clearing banks, the BBC, British Gas, British Airways, British Telecom, the Consumer Association, Eurotunnel, GSK, TfL, the NHS, Shell, Unilever, and W.H.S. Although the emphasis in this guide is on applications of IBM SPSS Statistics, there is a need for users to be aware of the statistical assumptions and rationales underpinning correct and meaningful application of the techniques available in the package; therefore, such assumptions are discussed, and methods of assessing their validity are described. Also presented is the logic underlying the computation of the more commonly used test statistics in the area of hypothesis testing. Mathematical background is kept to a minimum.

This guide is for practicing statisticians and data scientists who use IBM SPSS for statistical analysis of big data in business and finance.

An Introduction to Secondary Data Analysis with IBM SPSS Statistics

Many professional, high-quality surveys collect data on people's behaviour, experiences, lifestyles and attitudes. The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in their own research projects. Here you will find all you need to know about locating, accessing, preparing and analysing secondary data, along with step-by-step instructions for using IBM SPSS Statistics. You will learn how to: Create a robust research question and design that suits secondary analysis Locate, access and explore data online Understand data documentation Check and 'clean' secondary data Manage and analyse your data to produce meaningful results Replicate analyses of data in published articles and books Using case studies and video animations to illustrate each step of your research, this book provides you with the quantitative analysis skills you'll need to pass your course, complete your research project and compete in the job market. Exercises throughout the book and on the book's companion website give you an opportunity to practice, check your understanding and work hands on with real data as you're learning.

The data they produce is more accessible than ever before. This book provides students with a comprehensive introduction to using this data, as well as transactional data and big data sources, in their own research projects.

Doing Data Analysis with SPSS: Version 16.0

Now updated for SPSS 16.0, this book is an excellent supplement to any introductory statistics course. It provides a practical and useful introduction to SPSS 16.0 and enables students to work independently to learn helpful software skills outside of class. By using SPSS to handle complex computations, students can focus on and gain an understanding of the underlying statistical concepts and techniques in the introductory statistics course. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Now updated for SPSS 16.0, this book is an excellent supplement to any introductory statistics course.

SPSS Statistics for Data Analysis and Visualization

Dive deeper into SPSS Statistics for more efficient, accurate, and sophisticated data analysis and visualization SPSS Statistics for Data Analysis and Visualization goes beyond the basics of SPSS Statistics to show you advanced techniques that exploit the full capabilities of SPSS. The authors explain when and why to use each technique, and then walk you through the execution with a pragmatic, nuts and bolts example. Coverage includes extensive, in-depth discussion of advanced statistical techniques, data visualization, predictive analytics, and SPSS programming, including automation and integration with other languages like R and Python. You'll learn the best methods to power through an analysis, with more efficient, elegant, and accurate code. IBM SPSS Statistics is complex: true mastery requires a deep understanding of statistical theory, the user interface, and programming. Most users don't encounter all of the methods SPSS offers, leaving many little-known modules undiscovered. This book walks you through tools you may have never noticed, and shows you how they can be used to streamline your workflow and enable you to produce more accurate results. Conduct a more efficient and accurate analysis Display complex relationships and create better visualizations Model complex interactions and master predictive analytics Integrate R and Python with SPSS Statistics for more efficient, more powerful code These "hidden tools" can help you produce charts that simply wouldn't be possible any other way, and the support for other programming languages gives you better options for solving complex problems. If you're ready to take advantage of everything this powerful software package has to offer, SPSS Statistics for Data Analysis and Visualization is the expert-led training you need.

This book walks you through tools you may have never noticed, and shows you how they can be used to streamline your workflow and enable you to produce more accurate results.

Practical Numerical Analysis Using Microsoft Excel

This text presents numerical analysis in an easy and lucid manner requiring no prior knowledge of computer programming or intricacies of mathematics using MS-EXCEL 2000 through built in functions of MS-Excel depicting with ease various analysis. The analysis used can also be done using earlier versions of MS-Excel. The majority of numerical analysis needs fall into the curve fitting, interpolation, solutions of equations, integration methods. For these Excel's features provide a very easy and inexpensive way to get the job done.

Here we consider more rigorous and fundamental techniques of interpolation
and their applications through Excel. Thus interpolation is important as a means
to approximate functions known only at a finite set of points. It appears that
ancient ...

Financial Analysis with Microsoft Excel 2007

Help your students master THE calculating tool of choice for today’s financial professionals -- Excel -- while gaining a strong foundation in corporate finance. With Mayes/Shank’s FINANCIAL ANALYSIS WITH MICROSOFT EXCEL 2007, 5th Edition, you can take your students to a new level of proficiency in using Excel 2007 to solve real financial problems. The book’s solid content covers all of the topics from today’s corporate finance course, including financial statements, budgets, the Market Security Line, pro forma statements, cost of capital, equities, and debt. A reader-friendly, self-directed learning approach and numerous study tools make this book an ideal resource for independent learning as well as a valuable long-term reference tool. Because today’s typical students enter college with basic spreadsheet skills, this new edition takes learning to a new level -- covering the basics early and moving quickly into many of the more advanced and most powerful features of Excel. The book’s easy-to-understand presentation helps students build upon or transfer skills from other spreadsheet programs as they establish a strong understand of contemporary corporate finance. Give your students the valuable, highly marketable skills in Excel and corporate finance that they need to succeed now and throughout their careers with the latest in Mayes/Shank’s FINANCIAL ANALYSIS WITH MICROSOFT EXCEL 2007, 5th Edition. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Creating Common-Size Income Statements A common-size income statement is
one that shows all of the data as a percentage of the firm's total revenues. Before
beginning, remember that we want to make full use of Excel's capabilities to be ...

Division of Harta Sepencarian in the Malaysian Syariah Courts : an Analysis of the Judicial Approaches

Division of matrimonial assets is often associated with unfairness to the parties due to the failure of the existing provision to provide appropriate and fair methods to be used in the division. The current provision does not appear practical as it causes the court to adopt different interpretations in ascertaining allocated shares to the parties involved. The Malaysian family law for Muslim regulates, among others, the right for the husband and wife to apply for division of matrimonial assets which is normally claimable after the divorce or death of a spouse including during polygamous marriage. This provision aims to protect the interest of the wife and children. Thus, this study is undertaken to examine the effectiveness of the law in dividing assets through court practices. For that purpose, the study adopts a qualitative method by using both library research and field work to collect data. The analysis was conducted on a carefully selected sample of 215 decided cases within the period of 2000-2012. Data were collected from six zones representing Syariah Courts in Malaysia. Data were analysed based on several variables such as types of matrimonial property, factors for consideration and proportion of distribution of assets. The sampling shows that the direction of provision emphasises the contribution of a spouse as the sole determinator when dividing the assets thus, causing uncertainty and encouraging litigation. The study discloses that a loose draft of the provisions has caused various discrepancies in applying the law into practice. Other problems include the ambiguity in defining the scope of matrimonial assets and the role of the homemaker which has also not been properly addressed. Thus, this study suggests that the courts adopt more discretion when dealing with a division and take into account general considerations and factors including length of marriage, welfare of parties and other forms of contributions other than that of financial aspects. The use of sulh as a mode of dividing matrimonial asset is suggested to be widely practised when dealing with the division of matrimonial assets to prevent a costly and lengthy litigation process. Serious attention should, therefore, be given to reform the existing provision in order to make possible a just and equitable division of matrimonial assets.

Division of matrimonial assets is often associated with unfairness to the parties due to the failure of the existing provision to provide appropriate and fair methods to be used in the division.