A no-nonsense, entertaining guide to developing successful research proposals and grant applications from an author team with the inside track on what works.

Using concise and direct language, Betsy McCoach's book imparts a wide range of modeling techniques for use with quantitative data, including: From 2-level multilevel models to longitudinal modeling using multilevel and stuctural equation modeling (SEM) techniques. Part of The SAGE Quantitative Research Kit, this book offers the know-how and confidence needed to succeed on your quantitative research journey.

This edited volume explores significant themes in modern, global sociology, including inequality, structures of power, conceptions of justice and sustainable futures.

This edited volume explores significant themes in modern, global sociology, including inequality, structures of power, conceptions of justice and sustainable futures.

Heavily grounded in theory and context, this book explores the philosophical issues and debates surrounding social science research to help build solid, logical proposals and move from research concepts to fully realized designs.

Qualitative and Mixed Methods Data Analysis Using Dedoose®: A Practical Approach for Research Across the Social Sciences provides both new and experienced researchers with a guided introduction to dealing with the methodological complexity of mixed methods and qualitative inquiry using Dedoose® software.

This book provides a conceptual systematization and a practical tool for the randomization of between-subjects and within-subjects experimental designs.

Written by award-winning scholar Jonathan H Turner, this is a comprehensive, in-depth and detailed review of present-day theory in sociology.

A comprehensive exploration of classical social theory portraying the historical context (Renaissance Europe to the Industrial Age), covering all major developments in sociological theory (the Enlightenment to George Herbert Mead) and focusing on all the key figures you would expect: Comte, Spencer, Marx, Weber, Simmel, Durkheim and Mead.

This handy guide can be used in conjunction with any introductory or intermediate statistics book where the focus is on in-depth presentation of how graphs are used.