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Master data management & analysis techniques with IBM SPSS Statistics 24 About This Book 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 Who This Book Is 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 In Detail 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...

Statistics --- Computer programs. --- SPSS (Computer file)

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Clearly explains how to use SPSS statistical software, including tests and worked examples.

Mathematical statistics --- Social sciences --- Computer programs. --- Statistical methods --- SPSS (Computer file) --- Statistical package for the social sciences

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Faherty provides a comprehensive, yet pragmatic resource for social service professionals to use standard descriptive and inferential statistical techniques in ways that are meaningful to them, to their social agencies, to their funding sources and, ultimately, to their clients.

Evaluation research (Social action programs) --- Social service --- Evaluation of social action programs --- Evaluative research (Social action programs) --- Evaluation --- Social action --- Social sciences --- Statistical methods. --- Research --- SPSS (Computer file) --- Statistical package for the social sciences --- Statistical methods --- Computer programs.

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Quantitative methods in social research --- Social sciences --- Longitudinal studies. --- Statistical methods. --- PASW (Computer file) --- SPSS (Computer file) --- #SBIB:303H4 --- #SBIB:303H520 --- #KVHB:Statistiek --- #KVHB:SPSS --- 303 --- 303 Methoden bij sociaalwetenschappelijk onderzoek --- Methoden bij sociaalwetenschappelijk onderzoek --- Informatica in de sociale wetenschappen --- Methoden sociale wetenschappen: techniek van de analyse, algemeen --- PASW (Computer file). --- SPSS (Computer file). --- Behavioral sciences --- Human sciences --- Sciences, Social --- Social science --- Social studies --- Civilization --- Longitudinal studies --- Statistical methods --- Statistical package for the social sciences --- Predictive analytical software

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The first part of this title contained all statistical tests that are relevant for starters on SPSS, and included standard parametric and non-parametric tests for continuous and binary variables, regression methods, trend tests, and reliability and validity assessments of diagnostic tests. The current part 2 of this title reviews multistep methods, multivariate models, assessments of missing data, performance of diagnostic tests, meta-regression, Poisson regression, confounding  and interaction, and survival analyses using log tests and segmented time-dependent Cox regression. Methods for assessing non linear models, data seasonality, distribution free methods, including Monte Carlo methods and artificial intelligence, and robust tests are also covered. Each method of testing is explained using a data example from clinical practice,including every step in SPSS, and a text with interpretations of the results and hints convenient for data reporting. In order to facilitate the use of this cookbook the data files of the examples is made available by the editor through extras.springer.com. Both part 1 and 2 of this title contain a minima amount of text and maximal technical details, but we believe that this property will not refrain students from mastering the SPSS software systematics, and that, instead, it will be a help to that aim. Yet, we recommend that it will used together with the textbook "Statistics Applied to Clinical Trials" (5th edition, Springer, Dordrecht 2012) and the e-books "Statistics on a Pocket Calculator Part 1 and 2 (Springer, Dordrecht, 2011 and 2012) from the same authors.

Methodology. --- Statistics --- Computer programs. --- SPSS (Computer file) --- Statistical package for the social sciences --- Medicine. --- Biostatistics. --- Statistics. --- Medicine & Public Health. --- Medicine/Public Health, general. --- Statistics for Life Sciences, Medicine, Health Sciences. --- Statistical methods. --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Mathematics --- Econometrics --- Clinical sciences --- Medical profession --- Human biology --- Life sciences --- Medical sciences --- Pathology --- Physicians --- Health Workforce --- Statistics . --- Biological statistics --- Biology --- Biometrics (Biology) --- Biostatistics --- Biomathematics