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Accessing and Organizing Data

This chapter shows you how to read common file formats such as an Excel sheet or a delimited text file to IBM SPSS Statistics. The rationale for showing the reading of these formats is that most software programs read these file formats. In addition, many analysts use Excel for simple data activities such as data handling and producing charts. However, beyond these simple activities, Excel is limited in the data analytic capabilities it provides, so researchers have turned to IBM SPSS Statistics for its extensive statistical and analytical capabilities.

In order to use IBM SPSS Statistics, you must first read your data to the IBM SPSS Statistics Data Editor window. Once you successfully read the data, you provide variable properties to enrich the description of the data. After you have established the variable properties for the variables in your...

Key benefits

Leverage the power of IBM SPSS Statistics to perform efficient statistical analysis of your data

Choose the right statistical technique to analyze different types of data and build efficient models from your data with ease

Overcome any hurdle that you might come across while learning the different SPSS Statistics concepts with clear instructions, tips and tricks

Description

SPSS Statistics is a software package used for logical batched and non-batched statistical analysis. Analytical tools such as SPSS can readily provide even a novice user with an overwhelming amount of information and a broad range of options for analyzing patterns in the data. The journey starts with installing and configuring SPSS Statistics for first use and exploring the data to understand its potential (as well as its limitations). Use the right statistical analysis technique such as regression, classification and more, and analyze your data in the best possible manner. Work with graphs and charts to visualize your findings. With this information in hand, the discovery of patterns within the data can be undertaken. Finally, the high level objective of developing predictive models that can be applied to other situations will be addressed. By the end of this book, you will have a firm understanding of the various statistical analysis techniques offered by SPSS Statistics, and be able to master its use for data analysis with ease.

Who is this book for?

This book is designed for analysts and researchers who need to work with data to discover meaningful patterns but do not have the time (or inclination) to become programmers. We assume a foundational understanding of statistics such as one would learn in a basic course or two on statistical techniques and methods.

What you will learn

Install and set up SPSS to create a working environment for analytics

Techniques for exploring data visually and statistically, assessing data quality and addressing issues related to missing data

How to import different kinds of data and work with it

Organize data for analytical purposes (create new data elements, sampling, weighting, subsetting, and restructure your data)

Discover basic relationships among data elements (bivariate data patterns, differences in means, correlations)

Explore multivariate relationships

Leverage the offerings to draw accurate insights from your research, and benefit your decision-making

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

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Meta S. Brown Dec 08, 2017

This is a top-rate book for learning introductory and intermediate SPSS skills.As a former staff trainer who taught thousands of people to use SPSS, I know what's what on this topic. These authors are real insiders, whose history with SPSS goes a long way back. They're experts whose simple and clear writing style is the best in the business.What's in the book?Absolute basics - installation, importing data, basic data organization (such as labeling), assessing data propertiesData preparation - data transformations such as computing new variables, merging and aggregationExploration - using descriptive statistics to assess the dataBasic statistics - all the things you'd cover in an introductory statistics class - descriptives, crosstabulation, chi-square, t, ANOVA, correlation and linear regressionIntermediate to advanced statistics - factor analysis and perceptual mapping, principal components analysis, clustering and discriminant analysis

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G.MARI Dec 31, 2019

Simple to understand

Inge Kurniadi Apr 29, 2019

Just starting the journey to deep dive & using stats function in IBM Statistics which sometimes not as simple as it looks.

Jean Jenkins Jan 23, 2018

When I was a rookie data analyst this book would have been perfect for me. I had a reasonable understanding of statistics from graduate school courses, but no understanding of real-life data analysis challenges, particularly involving the less-than-perfect data that is usually available. Data Analysis with IBM SPSS Statistics does an excellent job of guiding the reader through this. One learns how to use SPSS to solve data problems, and there are many tips on multiple ways to approach a problem, and how to pick the best solution for the data and the planned analysis.The emphasis the authors place on showing the reader all the ways in which SPSS can help with the complex task of data preparation is one of the best features of this book. This is an aspect of data analysis that many inexperienced analysts underestimate, and the authors not only show the reader what SPSS can do for an analyst, but why it is so important. Tips throughout point out some especially helpful features, and warn analysts about some common pitfalls.The chapters discussing SPSS statistical techniques are equally helpful and thorough. Again, there is emphasis on evaluating one’s data to make sure it is suitable for a given technique, and the data adequacy tests that are presented are explained in detail. Analytical results are discussed carefully and suggestions for further investigation are offered.

StephenSchacht Jan 06, 2018

E-book review. This book fully meets the needs of its target audience: analysts and researcher with a course of two of statistics who are new to IBM SPSS Statistics and will be using it for data analysis and statistical work. It covers all the major elements: installation; reading, defining, transforming, and combining data files; exploring data (especially commendable is the emphasis on checking data for outliers, inconsistent data, and missing values); plus examples using the analytic and statistical procedures in IBM SPSS Statistics. Strong points include the detailed coverage of the most important and the most commonly used features of SPSS, the presentation of both the menu system and command syntax for most operations and analyses, the very clear explanations of operations, the insightful interpretations of results from a variety of statistical analyses, and use of multiple datasets. The authors’ extensive experience in SPSS training and consulting pays dividends in their choices of tips and topics to emphasize, which efficiently passes, directly to the reader, knowledge usually gained through painful experience. There are a few minor instances of inconsistent usage (e.g., Output Window versus Viewer) and slight production blemishes (a reference or so to figure numbers which don’t appear in the e-book), but they do not take away from the substantial value of this work. Highly recommended for the intended audience.

Data Analysis with IBM SPSS Statistics: Implementing data modeling, descriptive statistics and ANOVA

What do you get with Print?

Data Analysis with IBM SPSS Statistics

Accessing and Organizing Data

Accessing and organizing data overview

Reading Excel files

Reading delimited text data files

Saving IBM SPSS Statistics files

Reading IBM SPSS Statistics files

Demo - first look at the data - frequencies

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Data Analysis with IBM SPSS Statistics: Implementing data modeling, descriptive statistics and ANOVA

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