IBM SPSS Statistics 21 Core System User’s Guide

1 IIBM spss Statistics 21 core SystemUser s GuideNote: Before using this information and the product it supports, read the general informationunder Notices on p. edition applies to IBM spss Statistics 21 and to all subsequent releases and modificationsuntil otherwise indicated in new product screenshot(s) reprinted with permission from Adobe Systems product screenshot(s) reprinted with permission from Microsoft Materials - Property of IBM Copyright IBM Corporation 1989, Government Users Restricted Rights - Use, duplication or disclosure restricted by GSA ADPS chedule Contract with IBM spss StatisticsIBM spss Statistics is a comprehensive System for analyzing data. spss Statistics can takedata from almost any type offile and use them to generate tabulated reports, charts and plots ofdistributions and trends, descriptive Statistics , and complex statistical manual , theIBM spss Statistics 21 core System user s Guide , documents the graphicaluser interface of spss Statistics .

2 Examples using the statistical procedures found in add-onoptions are provided in the Help System , installed with the addition, beneath the menus and dialog boxes, spss Statistics uses a command extended features of the System can be accessed only via command syntax. (Those featuresare not available in the Student Version.) Detailed command syntax reference information isavailable in two forms: integrated into the overall Help System and as a separate document in PDFform in theCommand Syntax Reference, also available from the Help spss Statistics OptionsThe following options are available as add-on enhancements to the full (not Student Version)IBM spss Statistics core System : Statistics Basegives you a wide range of statistical procedures for basic analyses and reports,including counts, crosstabs and descriptive Statistics , OLAP Cubes and codebook reports.

3 It alsoprovides a wide variety of dimension reduction, classification and segmentation techniques suchas factor analysis, cluster analysis, nearest neighbor analysis and discriminant function , spss Statistics Base offers a broad range of algorithms for comparing means andpredictive techniques such as t-test, analysis of variance, linear regression and ordinal Statisticsfocuses on techniques often used in sophisticated experimental and biomedicalresearch. It includes procedures for general linear models (GLM), linear mixed models, variancecomponents analysis, loglinear analysis, ordinal regression, actuarial life tables, Kaplan-Meiersurvival analysis, and basic and extended Cox a method for deriving robust estimates of standard errors and confidenceintervals for estimates such as the mean, median, proportion, odds ratio, correlation coefficient orregression optimal scaling procedures, including correspondence Samplesallows survey, market, health, and public opinion researchers, as well as socialscientists who use sample survey methodology.

4 To incorporate their complex sample designsinto data a realistic way to measure how individual product attributes affect consumer andcitizen preferences. With Conjoint, you can easily measure the trade-off effect of each productattribute in the context of a set of product attributes as consumers do when making Tablescreates a variety of presentation-quality tabular reports, including complexstub-and-banner tables and displays of multiple response data. Copyright IBM Corporation 1989, Preparationprovides a quick visual snapshot of your data. It provides the ability to applyvalidation rules that identify invalid data values. You can create rules thatflag out-of-rangevalues, missing values, or blank values.

5 You can also save variables that record individual ruleviolations and the total number of rule violations per case. A limited set of predefined rules thatyou can copy or modify is Treescreates a tree-based classification model. It classifies cases into groups or predictsvalues of a dependent (target) variable based on values of independent (predictor) variables. Theprocedure provides validation tools for exploratory and confirmatory classification Marketingallows organizations to ensure their marketing programs are as effective aspossible, through techniques specifically designed for direct Testscalculates exactpvalues for statistical tests when small or very unevenly distributedsamples could make the usual tests inaccurate.

6 This option is available only on Windowsoperating comprehensive forecasting and time series analyses with multiplecurve-fitting models, smoothing models, and methods for estimating autoregressive Valuesdescribes patterns of missing data, estimates means and other Statistics , andimputes values for missing Networkscan be used to make business decisions by forecasting demand for a product as afunction of price and other variables, or by categorizingcustomersbasedonbuyinghabits anddemographic characteristics. Neural networks are non-lineardata modeling tools. They can beused to model complex relationships between inputs and outputs or tofind patterns in techniques for analyzing data that do notfit traditional linear statisticalmodels.

7 It includes procedures for probit analysis, logistic regression, weight estimation,two-stage least-squares regression, and general nonlinear (analysis ofmomentstructures) uses structural equation modeling to confirm and explainconceptual models that involve attitudes, perceptions, and other factors that drive IBM Business AnalyticsIBM Business Analytics software delivers complete, consistent and accurate information thatdecision-makers trust to improve business performance. A comprehensive portfolio ofbusinessintelligence,predictive analytics,financial performance and strategy management,andanalyticapplicationsprovid es clear, immediate and actionable insights into current performance and theability to predict future outcomes.

8 Combined with rich industry solutions, proven practices andprofessional services, organizations of every size can drive the highest productivity, confidentlyautomate decisions and deliver better part of this portfolio, IBM spss Predictive Analytics software helps organizations predictfuture events and proactively act upon that insight to drive better business outcomes. Commercial,government and academic customers worldwide rely on IBM spss technology as a competitiveadvantage in attracting, retaining and growing customers, while reducing fraud and mitigatingrisk. By incorporating IBM spss software into their daily operations, organizations becomepredictive enterprises able to direct and automate decisions to meet business goals and achieveivmeasurable competitive advantage.

9 For further information or to reach a representative supportTechnical support is available to maintenance customers. Customers may contact TechnicalSupport for assistance in using IBM Corp. products or for installation help for one of thesupported hardware environments. To reach Technical Support, see the IBM Corp. web Be prepared to identify yourself, your organization, and yoursupport agreement when requesting Support for StudentsIf you re a student using a student, academic or grad pack version of any IBMSPSS software product, please see our special onlineSolutions for Education( )pages for students. If you re a student using auniversity-supplied copy of the IBM spss software, please contact the IBM spss productcoordinator at your ServiceIf you have any questions concerning your shipment or account, contact your local office.

10 Pleasehave your serial number ready for SeminarsIBM Corp. provides both public and onsite training seminars. All seminars feature hands-onworkshops. Seminars will be offered in major cities on a regular basis. For more information onthese seminars, go s new in version 21? models, such as linear regression, require a set of known inputs to predict anoutcome or target value. In many real world applications, however, values of inputs are allows you to account for uncertainty in the inputs to predictive models and evaluatethe likelihood of various outcomes in the presence of that descriptive variables in the Data Editor and get summary descriptivestatistics (for example, mean, median, frequency counts).