This book focuses on the process of preparing raw data for analysiscommonly known as data cleaning. It covers a range of topics including data compilation, variable naming and labeling, data examination, and variable re-coding and transformations, a...Lasīt vairāk
Spline variables and their interactions play a crucial role in the field of social science. This book offers a comprehensive and detailed exploration of this method, providing valuable insights and information for researchers in the field....Lasīt vairāk
Social processes operate at many temporal scales: decades, years, months, weeks, days, hours, minutes, and even seconds. With the advent of the Internet, social media, and other technologies, long sequences of time-series data are increasingly avail...Lasīt vairāk
Approaches to Mixed Methods Research focuses on the choices social scientists make when designing a study that mixes quantitative and qualitative data. Authors Lisa D. Pearce and Jessica Halliday Hardie explore ways to weave...Lasīt vairāk
Log-linear, logit and logistic regression models are the most common ways of analyzing data when (at least) the dependent variable is categorical. This volume shows how to compare coefficient estimates from regression models for categorical dependent...Lasīt vairāk
Items with ordered response categories are common in survey research, such as when respondents are asked how much they agree with certain statements (1=strongly agree to 5=strongly disagree). But how large are the differences between categories of r...Lasīt vairāk
Although longitudinal social network data are increasingly collected, there are few guides on how to navigate the range of available tools for longitudinal network analysis. The applied social...Lasīt vairāk
Bayesian statistical analyses have become increasingly common over the last two decades. The rapid increase in computing power that facilitated their implementation coincided with major changes in the research interests of, and data availability f...Lasīt vairāk
Sequence analysis (SA) was developed to study social processes that unfold over time as sequences of events. It has gained increasing attention as the availability of longitudinal data...Lasīt vairāk
Measurement connects theoretical concepts to what is observable in the empirical world, and is fundamental to all social and behavioral research. In this volume, J. Micah Roos and Shawn Bauldry introduce a popular approach to measurement: Confirmator...Lasīt vairāk
Researchers in the social sciences and beyond are dealing more and more with massive quantities of text data requiring analysis, from historical letters to the constant stream of content in social media. Traditional texts on statistical analysis hav...Lasīt vairāk
A Mathematical Primer for Social Statistics, Second Edition presents mathematics central to learning and understanding statistical methods beyond the introductory level: the basic language...Lasīt vairāk
Correlation matrices (along with their unstandardized counterparts, covariance matrices) underlie the majority the statistical methods that researchers use today. A correlation matrix is more than a matrix filled with...Lasīt vairāk
This book introduces current perspectives on Rasch measurement theory with an emphasis on developing Rasch-based scales. Rasch measurement theory represents a paradigm shift in measurement theory away from classical test theory and creates a framewo...Lasīt vairāk
Using Time Series to Analyze Long Range Fractal Patterns presents methods for describing and analyzing dependency and irregularity in long time series. Irregularity refers to cycles that are similar in appearance, but unlike seasonal patterns more f...Lasīt vairāk
This volume helps readers understand the intuitive logic behind logistic regression through nontechnical language and simple examples. The Second Edition presents results from several statistical packages to help interpret the meaning of logistic re...Lasīt vairāk
Sample design is key to all surveys, fundamental to data collection, and to the analysis and interpretation of the data. Introduction to Survey Sampling, Second Edition provides an authoritative and accessible source on sample des...Lasīt vairāk
Agent-based simulation has become increasingly popular as a modeling approach in the social sciences because it enables researchers to build models where individual entities and their interactions are directly represented. The Second Editi...Lasīt vairāk
Multilevel Modeling is a concise, practical guide to building models for multilevel and longitudinal data. Author Douglas A. Luke begins by providing a rationale for multilevel models; outlines the basic approach to estimating and ev...Lasīt vairāk
