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The VERY Worst Man
Alexandra Bromley loves her brother. She can't believe he's guilty of the crime he's accused of--murdering his own wife. Her biggest problem? When she gets to know the lawyer who prosecuted him and convinced a jury to send him to prison, she begins to fall for him. Lawyer Hayden Wells is a fine man, the kind she'd be proud to spend her life with. If he wasn't so hard-hearted. Hayden knows he did the right thing, prosecuting Stan Bromley. But when he witnesses the sister's intense loyalty, he wonders if Alexandra truly believes Stan innocent, or simply excuses his actions. She'd be the perfect woman, if she wasn't so soft-hearted. Can this couple ever get past their conflicting loyalties? Or are they doomed before their love story begins?
Advances in Multilevel Modeling for Educational Research
The significance that practitioners are placing on the use of multilevel models is undeniable as researchers want to both accurately partition variance stemming from complex sampling designs and understand relations within and between variables describing the hierarchical levels of these nested data structures. Simply scan the applied literature and one can see evidence of this trend by noticing the number of articles adopting multilevel models as their primary modeling framework. Helping to drive the popularity of their use, governmental funding agencies continue to advocate the use of multilevel models as part of a comprehensive analytic strategy for conducting rigorous and relevant resear...
The Reviewer’s Guide to Quantitative Methods in the Social Sciences
The Reviewer’s Guide to Quantitative Methods in the Social Sciences provides evaluators of research manuscripts and proposals in the social and behavioral sciences with the resources they need to read, understand, and assess quantitative work. 35 uniquely structured chapters cover both traditional and emerging methods of quantitative data analysis, which neither junior nor veteran reviewers can be expected to know in detail. The second edition of this valuable resource updates readers on each technique’s key principles, appropriate usage, underlying assumptions and limitations, providing reviewers with the information they need to offer constructive commentary on works they evaluate. Written by methodological and applied scholars, this volume is also an indispensable author’s reference for preparing sound research manuscripts and proposals.
The Reviewer’s Guide to Quantitative Methods in the Social Sciences
Designed for reviewers of research manuscripts and proposals in the social and behavioral sciences, and beyond, this title includes chapters that address traditional and emerging quantitative methods of data analysis.
The Reviewer's Guide to Quantitative Methods in the Social Sciences
The Reviewer’s Guide to Quantitative Methods in the Social Sciences is designed for evaluators of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its thirty-one uniquely structured chapters cover both traditional and emerging methods of quantitative data analysis, which neither junior nor veteran reviewers can be expected to know in detail. The book updates readers on each technique’s key principles, appropriate usage, underlying assumptions, and limitations. It thereby assists reviewers to offer constructive commentary on works they evaluate, and also serves as an indispensable author’s reference for preparing sound research manuscripts and propos...
Handbook of Multilevel Analysis
This book presents the state of the art in multilevel analysis, with an emphasis on more advanced topics. These topics are discussed conceptually, analyzed mathematically, and illustrated by empirical examples. Multilevel analysis is the statistical analysis of hierarchically and non-hierarchically nested data. The simplest example is clustered data, such as a sample of students clustered within schools. Multilevel data are especially prevalent in the social and behavioral sciences and in the biomedical sciences. The chapter authors are all leading experts in the field. Given the omnipresence of multilevel data in the social, behavioral, and biomedical sciences, this book is essential for empirical researchers in these fields.
Methods of the Policy Process
The increasingly global study of policy processes faces challenges with scholars applying theories in radically different national and cultural contexts. Questions frequently arise about how to conduct policy process research comparatively and among this global community of scholars. Methods of the Policy Process is the first book to remedy this situation, not by establishing an orthodoxy or imposing upon the policy process community a rigid way of conducting research but, instead, by allowing the leading researchers in the different theoretical traditions a space to share the means by which they put their research into action. This edited volume serves as a companion volume and supplemental...
Undeniable
Beth Ann Roberts made her father a deathbed promise to be a wife to her deceased sister's husband, Daggart Bartlett. When Daggart sells the farm to join the Gold Rush, Beth must go with him, never expecting how much her life will change. Nicholas Granville is forced by his brother to help a group as they travel the Oregon Trail from Missouri to Oregon. Mourning his late wife, Nick's heart began healing the moment he saw Beth. Now, the couple must find a way to fight a love that is undeniable.
Structural Equation Modeling
Sponsored by the American Educational Research Association's Special Interest Group for Educational Statisticians This volume is the second edition of Hancock and Mueller’s highly-successful 2006 volume, with all of the original chapters updated as well as four new chapters. The second edition, like the first, is intended to serve as a didactically-oriented resource for graduate students and research professionals, covering a broad range of advanced topics often not discussed in introductory courses on structural equation modeling (SEM). Such topics are important in furthering the understanding of foundations and assumptions underlying SEM as well as in exploring SEM, as a potential tool to address new types of research questions that might not have arisen during a first course. Chapters focus on the clear explanation and application of topics, rather than on analytical derivations, and contain materials from popular SEM software.
