Making statistics—and statistical software—accessible and rewarding This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.
Prepared by David Kremelberg (University of Connecticut, Storrs), this study guide offers additional review and practice to help you succeed in your statistics class. Each chapter corresponds to the appropriate chapter in Neil Salkind's Statistics for People Who (Think They) Hate Statistics, Fourth Edition, and contains the following: a chapter outline; learning objectives; key terms; a chapter summary; true/false, short-answer, and essay questions; and exercises.
Introduction to Research in Leadership examines the process and skills required for effectively conducting research on the concept of leadership. Its authors employ a microscope for close analysis and build balconies to see trends and gain perspective. Designed to be imminently practical, it employs concrete examples of fictional graduate students, faculty, and professionals struggling with their own issues to help readers make sense of the world of research and all of its complexities. Filled with personal anecdotes, stories, and even a touch of humor and sarcasm, each chapter weaves in relevant concepts so that those beginning the process of producing scholarship can get started on a productive path and with a positive attitude. This introductory textbook reviews the core philosophies employed in creating new knowledge within a field of research. It describes quantitative, qualitative, and mixed methods, as well as several concepts that are common across these. The text concludes with chapters focused on critical scholarship in leadership and creating habits that lead to a lifetime of learning.
Making statistics—and statistical software—accessible and rewarding This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in IBM® SPSS® Statistics, Stata, and other programs. Author David Kremelberg begins his user-friendly text by covering charts and graphs through regression, time-series analysis, and factor analysis. He provides a background of the method, then explains how to run these tests in IBM SPSS and Stata. He then progresses to more advanced kinds of statistics such as HLM and SEM, where he describes the tests and explains how to run these tests in their appropriate software including HLM and AMOS. This is an invaluable guide for upper-level undergraduate and graduate students across the social and behavioral sciences who need assistance in understanding the various statistical packages.
This book provides readers with step-by-step guidance on running a wide variety of statistical analyses in SPSS, Stata, & other programmes. David Kremelberg begins his user-friendly text by covering charts & graphs through regression, time-series analysis, & factor analysis.
Prepared by David Kremelberg (University of Connecticut, Storrs), this study guide offers additional review and practice to help you succeed in your statistics class. Each chapter corresponds to the appropriate chapter in Neil Salkind's Statistics for People Who (Think They) Hate Statistics, Fourth Edition, and contains the following: a chapter outline; learning objectives; key terms; a chapter summary; true/false, short-answer, and essay questions; and exercises.
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