2 edition of An SPSS companion to political anlysis found in the catalog.
An SPSS companion to political anlysis
Philip H Pollock
|Other titles||Statistical package for the social sciences companion to political analysis|
|Statement||Philip H. Pollock.|
|Genre||Handbooks, manuals, etc|
|Contributions||Pollock, Philip H.|
|LC Classifications||JA86 .P64 2009|
|The Physical Object|
|Pagination||xv, 261 p. :|
|Number of Pages||261|
|LC Control Number||2009292150|
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"An IBM SPSS® Companion to Political Analysis complements The Essentials of Political Analysis and provides clear instruction for SPSS. The text is very accessible to students and uses interesting, varied, and lively examples/5(24). An IBM® SPSS® Companion to Political Analysis (NULL) $ Only 1 left in stock - order soon.
In this much-anticipated revision of Pollock′s popular SPSS workbook, students dive headfirst into actual political data and work with a software tool that prepares them for future political science research/5(22).
This SPSS companion is An SPSS companion to political anlysis book great starter book for those beginning statistical analysis. It goes step-by-step through the basics of SPSS and gives little reviews and assignments along the way. Practicing with SPSS is really the only way to learn it and this book lets you do s: “With An SPSS companion to political anlysis book focus on both the mechanics of SPSS and interpretation of data, An IBM SPSS Companion to Political Analysis provides a very useful and useable addition to a Political Science Methods course.
The chapters have engaging exercises that address many areas of the discipline and are organized to build students’ understanding of statistical interpretation and skills with SPSS.
Learn methods of data analysis and their application to real-world data sets This updated second edition serves as an introduction to data mining methods and models, including association rules, clustering, neural networks, logistic regression, and multivariate analysis. The authors apply a unified white box approach to data mining methods and models.
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Creswell and new co-author Cheryl N. Poth explore the philosophical underpinnings, history, and key elements of five qualitative inquiry approaches: narrative research, phenomenology, grounded theory, ethnography, and.
The central focus of this book is the variety and diversity of the ways of doing qualitative data analysis. Therefore it might be helpful first to outline the common core of this prac-tice by (1) giving a working definition, followed by (2) discussing the aims of quali-tative data analysis and finally by (3) looking.
Two-way or multi-way data often come from experiments with a factorial design. A factorial design has at least two factor variables for its independent variables, and multiple observation for every combination of these factors.
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For a simple logistic regression analysis with only one continuous predictor variable, you would need to know the probability of a positive outcome (i.e., the probability that the outcome equals 1) at the mean of the predictor variable and the probability of a positive. Stata is the solution for your data science needs.
Obtain and manipulate data. Explore. Visualize. Model. Make inferences. Collect your results into reproducible reports. is a powerful workbench for the qualitative analysis of large bodies of textual, graphical, audio and video data.
It offers a variety of sophisticated tools for accomplishing the tasks associated with any systematic approach to "soft" data. Decision Analysis: Making Justifiable, Defensible Decisions Decision analysis is the discipline of evaluating complex alternatives in terms of values and uncertainty.
Values are generally expressed monetarily because this is a major concern for management. Data analysis is a process of inspecting, cleansing, transforming and modeling data with the goal of discovering useful information, informing conclusions and supporting decision-making.
Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains.
Volume 1, No. 2, Art. 20 – June Qualitative Content Analysis. Philipp Mayring. Abstract: The article describes an approach of systematic, rule guided qualitative text analysis, which tries to preserve some methodological strengths of quantitative content analysis and widen them to a concept of qualitative procedure.
First the development of content analysis is delineated and .