Applied Linear Statistical Models 5e is the long established leading authoritative text and reference on statistical modeling. For students in most any discipline where statistical analysis or interpretation is used, ALSM serves as the standard work. The text includes brief introductory and review material, and then proceeds through regression and modeling for the first half, and through ANOVA and Experimental Design in the second half. All topics are presented in a precise and clear style supported with solved examples, numbered formulae, graphic illustrations, and "Notes" to provide depth and statistical accuracy and precision. Applications used within the text and the hallmark problems, exercises, and projects are drawn from virtually all disciplines and fields providing motivation for students in virtually any college. The Fifth edition provides an increased use of computing and graphical analysis throughout, without sacrificing concepts or rigor. In general, the 5e uses larger data sets in examples and exercises, and where methods can be automated within software without loss of understanding, it is so done.
A non-technical guide, introducing social science students to the most widely used computer package for analyzing quantitative data, the Statistical Package for the Social Sciences (SPSS).
Sage University Papers Series: Quantitative applications in the social sciences
Iames A. Davis, Torn W. Smith, and Peter V. Marsden. General Social Surveys, 197242008 [Cumulative File] [Computer file]. ICPSR25962-v2. Chicago: Storrs, CT: Roper Center for Public Opinion Research, University of Connecticut/Ann Arbor, ...
A concise, introductory text, Propensity Score Methods and Applications describes propensity score methods (PSM) and how they are used to balance the distributions of observed covariates between treatment conditions as a means to reduce ...
Multivariate Data Analysis
A Course in Business Statistics
Stat2: Building Models for a World of Data (Preliminary Edition)
Applied Linear Statistical Models
This volume provides an introduction to multilevel analysis for applied researchers. The book presents two types of multilevel models: the multilevel regression model; and a model for multilevel covariance structures.
That's where Stats with Cats can help you out. The book will show you: How to decide what you should put in your dataset and how to arrange the data. How to decide what graphs and statistics to produce for your data.