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This book focuses on computer intensive statistical methods, such as validation, model selection, and bootstrap, that help... Læs mere
Provides instructions and examples for running analyses of variance and other related stitica tests of significance using SPSS Vs. 11 using pull-down menus or writing programs or syntax. Prerequisite includes a basic understanding of ANOVA techniques.
This book presents a complete exploration of statistical data analysis in R for a wide variety of social science disciplines and quantitative methods courses.
Drawing on real world data to showcase different techniques, this practical book helps you use R for data analysis in your own research.
Statistics and Data Visualization Using R: The Art and Practice of Data Analysis teaches students statistics visually, focusing on interpreting graphs and charts to learn statistical concepts, from the mean through regression.
This book constitutes the refereed proceedings of the 9th International... Læs mere
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... Læs mere
This book introduces readers to statistical methodologies used to analyze doubly truncated data. The first book exclusively dedicated to the topic, it provides likelihood-based methods, Bayesian methods, non-parametric methods, and linear regression methods.
This book presents strategies for analyzing qualitative and mixed methods data with MAXQDA software, and provides guidance on implementing a variety of research methods and approaches, e.g. grounded theory, discourse analysis and qualitative content analysis, using the software.