Coding Variables In Spss
Coding Variables In Spss
How to Recode Categorical Variables in SPSS
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 An Intermediate Guide to SPSS Programming Using Syntax  US $67.24
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 NEW An Intermediate Guide To Spss Programming Boslaug US $51.25
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 SPSS PASW statistics base 19 modules Amos 19 NEW US $600.00 |
 Research Methods in Applied Settings An Integrated App US $128.98
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 Research Methods for Everyday Life Blending Qualitativ US $72.94
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 SPSS PASW statistics base 18 modules dimensions 45 US $390.00 |
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IBM SPSS Statistics Base v19 GradPack Academic $65.95 IBM SPSS Statistics Base (formerly PASW Statistics Base) is easy to use and forms the foundation for many types of statistical analyses.The procedures within IBM SPSS Statistics Base will enable you to get a quick look at your data, formulate hypotheses for additional testing, and then carry out a number of statistical and analytic procedures to help clarify relationships between variables, create clusters, identify trends and make predictions.IBM SPSS Statistics Base GradPack - includes:IBM SPSS Statistics Base, the comprehensive data analysis workbench |
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SPSS 15.0 Brief Guide by SPSS Inc Edition , 1 $18.99 SPSS 15.0 Brief Guide provides a set of tutorials to acquaint you with the components of the SPSS system. Topics include using the help system and Data Editor, reading data, examining summary statistics for individual variables, working with output, creating and editing charts, working with syntax, modifying data values, sorting and selecting data, and performing additional statistical procedures. |
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An SPSS Companion to Political Analysis $30.28 In his popular workbook, An SPSS Companion to Political Analysis, Philip H. Pollock III gets students using actual political data and working with a software tool that prepares them for future political science courses. Now updated using SPSS 16.0, the new third edition is a no-nonsense and friendly introduction to using SPSS: students learn through a series of guided examples, reference 120 screenshots, and can count on step-by-step instructions to all procedures. As in previous editions, the workbook covers the full array of data analysis procedures from introductory to advanced, including descriptive statistics and data transformations, to dummy variables and interaction effects. A final chapter shows students how to code data and how to read it into SPSS.With 50% more exercises than in the previous edition, students not only interact with a range of substantive political science questions, but encounter more exercises on comparative and international politics, investigating such topics as the relative importance of cultural and institutional factors in shaping political parties or the extent to which wealth is equally distributed within countries. The third edition also delves deeper into the use of graphic display to complement empirical results. Students learn state of the art editing techniques using SPSS Chart Editor, while following protocols described by leading experts in the graphic display of quantitative information. In addition to creating simple bar charts and line graphs, students will learn to produce scatterplots and logistic regression curves. |
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IBM SPSS Statistics Base v20 GradPack Academic $64.95 IBM SPSS Statistics Base V20 enables you to get a quick look at your data, formulate hypotheses for additional testing, and then carry out statistical and analytic procedures to help clarify relationships between variables, create clusters, identify trends and make predictions. |
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SPSS for Dummies $19.18 SPSS for Dummies |
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Using SPSS for Windows and Macintosh: Analyzing and Understanding Data (5th Edition) $48.5 Will help anyone use SPSS to successfully analyze data, interpret results, and describe findings. This complete introductory guide to SPSS has been thoroughly updated for the software's latest versions for Windows andMacintosh. It has also been revised throughout for greater accessibility, simplicity, and ease of use. The book provides step-by-step walkthroughs of every basic SPSS and statistical technique, along with tips, examples, exercises, and extensive pedagogical support designed to promote rapid learning. Coverage includes: mastering the SPSS interface; creating and working with data files; defining and creating variables; working with data, charts, and output; univariate descriptive statistics; univariate and multivariate analyses; correlation, regression, and discriminate analysis; scaling and nonparametric procedures; and more. For everyone who wants to master the latest versions of SPSS. SPSS is used in a wide range of markets, including psychology and other areas of scientific research; marketing and surveys; financial services and insurance; education; government; telecommunications; and beyond. |
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IBM SPSS Exact Tests 19 (Win) for Win $648 IBM SPSS Exact Tests (formerly PASW Exact Tests) gives you what's needed to more accurately work with small samples and analyze rare occurrences in large datasets. IBM SPSS Exact Tests enables you to use small samples and still feel confident about the results. With the money saved using smaller sample sizes, you can conduct surveys or test direct marketing programs more often. Stay ahead of the competition by using these resources to find new opportunities. Easily Interpret and Apply Exact Tests IBM SPSS Exact Tests is easy to use. You can perform a test any time, with just a click of a button – during your original analysis or when you rerun it. With IBM SPSS Exact Tests, there is no steep learning curve, because you don't need to learn any new statistical theories or procedures. You simply interpret the exact tests results the same way you already interpret the results in IBM SPSS Statistics Base. You'll always have the right statistical test for your data situation. IBM SPSS Exact Tests provides more than 30 exact tests, which cover the entire spectrum of nonparametric and categorical data problems for small or large datasets. These tests include one sample, two sample and K sample tests on independent or related samples, goodness of fit tests, tests of independence in RxC contingency tables and on measures of association. And, with the release of IBM SPSS Statistics 19, both the client and server versions of IBM SPSS Exact Tests are available on Mac and Linux, as well as on Windows operating systems. Features & Benefits: More Statistics for Data Analysis Expand the capabilities of IBM SPSS Statistics Base for the data analysis stage in the analytical process. Using IBM SPSS Exact Tests with IBM SPSS Statistics Base gives you an even wider range of statistics, so you can get the most accurate response when: Working with a small number of cases Working with variables that have a high percentage of response in one category Dividing your data into fine breakdowns Searching for rare occurrences in large datasets (such as sales above $1 million) IBM SPSS Exact Tests easily plugs into other IBM SPSS Statistics modules so you can seamlessly work in the IBM SPSS Statistics environment. Get greater value from your data: with IBM SPSS Exact Tests, you can slice and dice your data into breakdowns, which can be as fine as you want, so you learn more by extending your analysis to subgroups. You aren't limited by required expected counts of five or more per cell for correct results. And you can even rely on IBM SPSS Exact Tests when you're searching for rare occurrences within large datasets. Keep your original categories: don't lose valuable information by collapsing categories to meet the assumptions of traditional tests. With IBM SPSS Exact Tests, you can keep your original design or natural categories—for example, regions, income, or age groups—and analyze what you intended to analyze. IBM SPSS Exact Tests has the tests and stat |
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Using SPSS for Windows and Macintosh: Analyzing and Understanding Data (6th Edition) $37.94 For courses in Introductory Statistics and Research Methods courses using SPSS. Using SPSS guides students through the most basic of SPSS techniques usingstep-by-step descriptions, presents statistical techniques andinstruction on how to conduct statistical analyses, and explains in detail how to avoid all theobstacles common in the study of statistics. The development of easy-to-use statistical software like SPSS has changed the way statistics is being taught and learned. Students can make transformations of variables, creategraphs of distributions of variables,and select among statistical analyses all at the click of a button. However, even with these advancements,students sometimes still find statistics to be an arduous task. Theycontinue to befaced with many potential obstacles and they might feel overwhelmed and stressed rather than challenged and excited about the potential for mastering these important skills. Samuel Green and Neil Salkind have written a text to specifically address these issues. |
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IBM SPSS Amos v19 GradPack Academic $39.95 Build structural equation models with more accuracy than standard multivariate statistics models using intuitive drag-and-drop functionalityIBM SPSS Amos (formerly Amos) gives you the power to easily perform structural equation modeling (SEM). Using SEM, you can quickly create models to test hypotheses and confirm relationships among observed and latent variables – moving beyond regression to gain additional insight. |
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IBM SPSS Categories 19 (Win, Mac, Linux) $514 IBM SPSS Categories (formerly PASW Categories) provides you with all the tools you need to obtain clear insight into complex categorical and numeric data, as well as high dimensional data. Use IBM SPSS Categories to understand which characteristics consumers relate most closely to your brand, or to determine customer perception of your products compared to other products you or your competitors offer. Discover underlying relationships through perceptual maps, bi plots and tri plots Work with and understand nominal (e.g. salary) and ordinal (e.g. education level) data with procedures similar to conventional regression, principal components and canonical correlation to predict outcomes and reveal relationships Visually interpret datasets and see how rows and columns relate in large tables of scores, counts, ratings, rankings or similarities Deal with non normal residuals in numeric data or nonlinear relationships between predictor variables (e.g. customer or product attributes) and the outcome variable (e.g. purchase/non purchase) Use Ridge Regression, the Lasso, the Elastic Net, variable selection and model selection for both numeric and categorical data Features & Benefits: Unleash the full potential of your data through predictive analysis, statistical learning, perceptual mapping, preference scaling and dimension reduction techniques –including optimal scaling of your variables. Graphically display underlying relationships IBM SPSS Categories' dimension reduction techniques enable you to clarify relationships in your data by using perceptual maps and biplots: Perceptual maps are high resolution summary charts that graphically display similar variables or categories close to each other. They provide you with unique insight into relationships between more than two categorical variables. Biplots and triplots enable you to look at the relationships among cases, variables and categories. For example, you can define relationships between products, customers and demographic characteristics. By using the preference scaling feature, you can further visualize relationships among objects. The breakthrough algorithm on which this procedure is based enables you to perform non metric analyses for ordinal data and obtain meaningful results. The proximities scaling procedure allows you to analyze similarities between objects, and incorporate characteristics for objects in the same analysis. Turn qualitative variables into quantitative ones Perform additional statistical operations on categorical data with the advanced procedures available in IBM SPSS Categories: Use optimal scaling procedures to assign units of measurement and zero points to your categorical data Choose from state of the art procedures for model selection and regularization vPerform correspondence and multiple correspondence analyses to numerically evaluate similarities between two or more nominal variables in your dataset Summarize your data according to important componen |
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Complex Variables $12.8 Complex Variables |
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Using SPSS for Windows and Macintosh: Analyzing and Understanding Data, Sixth Edition $44.99 For courses in Introductory Statistics and Research Methods in the department of Psychology.Using SPSS guides students through the most basic of SPSS techniques using step-by-step descriptions, presents statistical techniques and instruction on how to conduct statistical analyses, and explains in detail how to avoid all the obstacles common in the study of statistics.The development of easy-to-use statistical software like SPSS has changed the way statistics is being taught and learned. Students can make transformations of variables, create graphs of distributions of variables, and select among statistical analyses all at the click of a button. However, even with these advancements, students sometimes still find statistics to be an arduous task. They continue to be faced with many potential obstacles and they might feel overwhelmed and stressed rather than challenged and excited about the potential for mastering these important skills. Here, in Using SPSS for Windows and Macintosh 5e, Samuel Green and Neil Salkind have written a text to specifically address these issues. Using SPSS guides students through the most basic of SPSS techniques using step-by-step descriptions, presents statistical techniques and instruction on how to conduct statistical analyses, and explains in detail how to avoid all the obstacles common in the study of statistics. |
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IBM SPSS Forecasting 19 (Win, Mac, Linux) $618 IBM SPSS Forecasting (formerly PASW Forecasting), enables analysts to predict trends and develop forecasts quickly and easily without being an expert statistician. Reliable forecasts can have a major impact on your organization's ability to develop and implement successful strategies. Unlike spreadsheet programs, IBM SPSS Forecasting has the advanced statistical techniques needed to work with time series data regardless of your level of expertise. Analyze historical data and predict trends faster, and deliver information in ways that your organization's decision makers can understand and use Automatically determine the best fitting ARIMA or exponential smoothing model to analyze your historic data Model hundreds of different time series at once, rather than having to run the procedure for one variable at a time Save models to a central file so that forecasts can be updated when data changes, without having to re set parameters or re estimate models Write scripts so that models can be updated with new data automatically Features & Benefits: IBM SPSS Forecasting offers a number of capabilities that enable both novice and experienced users to quickly develop reliable forecasts using time series data. It is a fully integrated module of IBM SPSS Statistics, giving you all of IBM SPSS Statistics' capabilities plus features specifically designed to support forecasting. New to Building Models from Time series Data? IBM SPSS Forecasting helps you by: Generating reliable models, even if you're not sure how to choose exponential smoothing parameters or ARIMA orders, or how to achieve stationarity Automatically testing your data for seasonality, intermittency and missing values, and selecting appropriate models Detecting outliers and preventing them from influencing parameter estimates Generating graphs showing confidence intervals and the model's goodness of fit You're an Experienced IBM SPSS Statistics User? IBM SPSS Forecasting allows you to: Control every parameter when building your data model Use IBM SPSS Forecasting Expert Modeler recommendations as a starting point or to check your work Procedures and Statistics for Analyzing Time series Data Using IBM SPSS Forecasting with IBM SPSS Statistics Base gives you a selection of statistical techniques for analyzing time series data and developing reliable forecasts. Techniques Tailored to Time series Analysis IBM SPSS Statistics has the procedures you need to realize the most benefit from your time series analysis. It generates statistics and normal probability plots so that you can easily judge model fit. You can even limit output to see only the worst fitting models those that require further examination. Automatically generated high resolution charts enhance your output. Procedures available in IBM SPSS Forecasting include: TSMODEL Use the Expert Modeler to model a set of time series variables, using either ARIMA or exponential smoothing techniques TSAPPLY Apply save |
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IBM SPSS Regression 19 (Win, Mac, Linux) $599 BM SPSS Regression (formerly, PASW Regression) enables you to predict categorical outcomes and apply a wide range of nonlinear regression procedures. You can apply IBM SPSS Regression to many business and analysis projects where ordinary regression techniques are limiting or inappropriate: for example, studying consumer buying habits or responses to treatments, measuring academic achievement, and analyzing credit risks. IBM SPSS Regression includes the following procedures: Multinomial logistic regression: Predict categorical outcomes with more than two categories Binary logistic regression: Easily classify your data into two groups Nonlinear regression and constrained nonlinear regression (CNLR): Estimate parameters of nonlinear models Weighted least squares: Gives more weight to measurements within a series Two stage least squares: Helps control for correlations between predictor variables and error terms Probit analysis: Evaluate the value of stimuli using a logit or probit transformation of the proportion responding Features & Benefits: More Statistics for Data Analysis Expand the capabilities of IBM SPSS Statistics Base for the data analysis stage in the analytical process. Using IBM SPSS Regression with IBM SPSS Statistics Base gives you an even wider range of statistics so you can get the most accurate response for specific data types. IBM SPSS Regression includes: Multinomial logistic regression (MLR): Regress a categorical dependent variable with more than two categories on a set of independent variables. This procedure helps you accurately predict group membership within key groups. You can also use stepwise functionality, including forward entry, backward elimination, forward stepwise or backward stepwise, to find the best predictor from dozens of possible predictors. If you have a large number of predictors, Score and Wald methods can help you more quickly reach results. You can access your model fit using Akaike information criterion (AIC) and Bayesian information criterion (BIC; also called Schwarz Bayesian criterion, or SBC). Binary logistic regression: Group people with respect to their predicted action. Use this procedure if you need to build models in which the dependent variable is dichotomous (for example, buy versus not buy, pay versus default, graduate versus not graduate). You can also use binary logistic regression to predict the probability of events such as solicitation responses or program participation. With binary logistic regression, you can select variables using six types of stepwise methods, including forward (the procedure selects the strongest variables until there are no more significant predictors in the dataset) and backward (at each step, the procedure removes the least significant predictor in the dataset) methods. You can also set inclusion or exclusion criteria. The procedure produces a report telling you the action it took at each step to determine your variables. Nonlinear regressi |
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SPSS for Windows Step by Step: A Simple Guide and Reference, 17.0 Update, Tenth Edition $27.6 SPSS for Windows Step by Step: A Simple Guide and Reference, 17.0 Update makes data analysis and SPSS procedures clear and accessible.  Presents straightforward âstep by stepâ instructions in each analysis chapter to clarify procedures. Hundreds of screen shots and âStep by Stepâ boxes guide the student through the program. All of the datasets used in the book are available for download on the text website. Exercises at the end of each chapter and selected answers on the website give students an opportunity to practice using SPSS. Updated to reflect SPSS Version 17.0If you'd like to bundle this text with SPSS 17.0*, please order ISBN: 9780205712427.*The SPSS Integrated Student Version of the software operates on the same systems and has the same functionality as the SPSS for Windows 17.0 commercial English version except for the following limitations: The CD expires thirteen (13) months from the date that the student first installs the software on his or her computer. Data files cannot contain more than 50 variables. Data files cannot contain more than 1500 cases. SPSS add-on modules cannot be used with the Integrated Student Version. SPSS command syntax is not available to the user. Scripting and automation are not available to the user. |
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IBM SPSS Custom Tables 19 (Win, Mac, Linux) $599 IBM SPSS Custom Tables (formerly PASW Custom Tables) helps you easily understand your data and quickly summarize your results in different styles for different audiences. More than a simple reporting tool, IBM SPSS Custom Tables combines comprehensive analytical capabilities with interactive table building features to help you learn from your data and communicate the results of your analyses as professional looking tables that are easy to read and interpret. Compare means or proportions for demographic groups, customer segments, time periods or other categorical variables when you include inferential statistics Select summary statistics from simple counts for categorical variables to measures of dispersion and sort categories by any summary statistic used Choose from three significance tests: Chi square test of independence, comparison of column means (t test), or comparison of column proportions (z test) Drag and drop variables onto the interactive table builder to create results as pivot tables Preview tables in real time and modify them as you create them Exclude specific categories, display missing value cells and add subtotals to your tables Export tables to Microsoft Word, Excel, PowerPoint or HTML for use in reports Features & Benefits: IBM SPSS Custom Tables is an analytical tool that helps you augment your reports with information your readers need to make more informed decisions. Use inferential statistics—also known as significance testing—in your tables to perform common analyses: Compare means or proportions for demographic groups, customer segments, time periods, or other categorical variables; and identify trends, changes, or major differences in your data. IBM SPSS Custom Tables includes the following significance tests: Chi square test of independence Comparison of column means (t test) Comparison of column proportions (z test) You can also choose from a variety of summary statistics, which include everything from simple counts for categorical variables to measures of dispersion. Summary statistics are included for: Categorical variables Multiple response sets Scale variables Custom total summaries for categorical variables When your analysis is complete, you can use IBM SPSS Custom Tables to create customized tabular reports suitable for a variety of audiences—including those without a technical background. Choose from a variety of summary statistics and link multiple tables together. In this example, preference by gender and region are quickly extracted from survey data with IBM SPSS Custom Tables. Preview your tables during production With IBM SPSS Custom Tables' interactive table preview builder (see the figure below), you see how your tables look as you create or modify them. You can make adjustments along the way, ensuring that your final table is exactly what you need. For example, you can: Move variables from row to column Collapse large or complex tables for a more concise view View variable c |
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SPSS for Windows Step by Step: A Simple Guide and Reference 16.0 Update, Ninth Edition $37.99 SPSS for Windows Step by Step: A Simple Guide and Reference, 16.0 Update makes data analysis and SPSS procedures clear and accessible.  Presents straightforward âstep by stepâ instructions in each analysis chapter to clarify procedures. Hundreds of screen shots and âStep by Stepâ boxes guide the student through the program. All of the datasets used in the book are available for download on the text website. Exercises at the end of each chapter and selected answers on the website give students an opportunity to practice using SPSS. Updated to reflect SPSS Version 16.0If you'd like to bundle this text with SPSS 16.0*, please order the following ISBN: 0205664482.*The SPSS Integrated Student Version of the software operates on the same systems and has the same functionality as the SPSS for Windows 16.0 commercial English version except for the following limitations: The CD expires thirteen (13) months from the date that the student first installs the software on his or her computer. Data files cannot contain more than 50 variables. Data files cannot contain more than 1500 cases. SPSS add-on modules cannot be used with the Integrated Student Version. SPSS command syntax is not available to the user. Scripting and automation are not available to the user. PLEASE NOTE: There is a hotfix for SPSS for Windows Student Version 16.0.  This fix will enable chart creation using the Chart Builder or Interactive Graphs procedures in the SPSS Student Version 16.0.  Please download the hotfix from: http://support.spss.com/Student/Patches/SPSS/Windows/16.0.1.1/16.0.1.1_Readme.html. This is not an installer, so therefore no update information is available to indicate the hotfix has been applied. SPSS.exe is replaced with a version modified on 01/14/2008. Note: This is not a patch, you just need to save the file into your SPSS directory, C:Program FilesSPSSIncSPSS16Student, and replace the current spss.exe file.PLEASE NOTE: If you are using Microsoft Vista, there is a patch available at http://support.spss.com/ that you will need to download to get SPSS to run on Microsoft Vista. Please note that you will need to register at the tech Support website in order to download the patch. You will need to apply the patch before you authorize the software. |
May 19th, 2009 in
Programming | tags: and, coding variables in spss, contrastcoding, dummy coding variables in spss, dummycoding, plannedcontrast, reverse coding variables in spss, spss, statistics