Rick H. often starts his "talk" at recovery meetings with this statement: "I come here because the Rick of old will drink again. So I need to change, and this is where my professors are." He then adds that, to live a sober, happy life, he had to find a replacement for the alcohol that he used in his struggles to cope with the realities of life. That replacement includes a set of "tools" that he relies on to contend with all of life's ups and downs They reflect a wide range of powerful insights and practical wisdom gathered over twenty years from fellow recovering addicts in countless meetings, retreats, and workshops.

Realizing the power of compiling and sharing this life-changing information in one source, and recognizing that every addict needs such a "toolkit," Rick wrote Under Construction. Its primary purpose is to provide a simple reference guide consisting of twenty-five life-recovery tools, described in a practical, easy-to-read format along with real-life stories of how these tools have been applied. In addition, he includes probing questions that will challenge the reader to explore how these areas relate to his or her personal journey of recovery.

"The tools presented in Under Construction can turn your life around--if you have the guts to follow this pragmatic book. It will give you insight into the triggers that can accelerate progress in recovery and all relationships. Prepare for hard-hitting questions and no-holds-barred action steps. The book goes straight to tackling the biggest challenges facing anyone in recovery. "-Todd S.

A portion of the proceeds from this book will be donated to organizations supporting recovery efforts.

Newer statistical models, such as structural equation modeling and hierarchical linear modeling, require large sample sizes inappropriate for many research questions or unrealistic for many research arenas. How can researchers get the sophistication and flexibility of large sample studies without the requirement of prohibitively large samples? This book describes and illustrates statistical strategies that meet the sophistication/flexibility criteria for analyzing data from small samples of fewer than 150 cases. Contributions from some of the leading researchers in the field cover the use of multiple imputation software and how it can be used profitably with small data sets and missing data; ways to increase statistical power when sample size cannot be increased; and strategies for computing effect sizes and combining effect sizes across studies. Other contributions describe how to hypothesis test using the bootstrap; methods for pooling effect size indicators from single-case studies; frameworks for drawing inferences from cross-tabulated data; how to determine whether a correlation or covariance matrix warrants structure analysis; and what conditions indicate latent variable modeling is a viable approach to correct for unreliability in the mediator. Other topics include the use of dynamic factor analysis to model temporal processes by analyzing multivariate; time-series data from small numbers of individuals; techniques for coping with estimation problems in confirmatory factor analysis in small samples; how the state space model can be used with surprising accuracy with small data samples; and the use of partial least squares as a viable alternative to covariance-based SEM when the N is small and/or the number of variables in a model is large.

H. Lang Meine sehr verehrten Damen und Herren, liebe Kolleginnen und Kollegen! 1m Namen des Sponsors begrtiBe ich Sie zum 6. Symposium unserer Reihe "Zusammenarbeit von Klinik und Klinischer Chemie". Die nach wie vor erfreuliche Resonanz auf die Einladung darf ich mit vorsichtigem Optimismus so deuten, daB diese Veranstaltungen ein Bedtirfnis der Disziplinen zur Kooperation ansprechen. Dieses Symposium ist wiederum von Herrn BUTTNER, Herrn RICK und mir organisiert worden. Wir wollen versuchen, heute und morgen die Thematik unseres letzten Treffens weiterzuftihren. Herrn BUTTNER darf ich ganz besonders danken, daB er auch diesmal die wissenschaftliche Leitung der Taqung tibernommen hat. Da die meisten der Anwesenden an den Diskussionen vor zwei Jahren teil- genommen haben, brauche ich die Grundthematik nicht im einzelnen zu wiederholen. Wir wollen den Versuch unternehmen, Bedingungen ftir den optimalen Einsatz der noch jungen Disziplin "Klinische Chemie" im Rahmen der Klinischen Medizin zu definieren. Beim letzten Symposium haben wir gemeinsam - ich glaube mit Erfol- die Kriterien herausgearbeitet, mit deren Hilfe die Validitat klinisch-chemischer Befunde gemessen werden kann. Ich erinnere an die Referate von Herrn BUTTNER, in welchem die theoretischen Grundlagen der Validierung von Labordaten dargestellt wurden, und von Herrn GROSS, in welchem der Stellenwert der Labordaten im Rahmen der Diagnose anhand eines groBen Materials aus der KaIner Klinik retrospektiv ermittelt wurde. Auf dieser Basis wollen wir nun tiber geeignete Strategien spre- chen, mit denen unsere Daten sinnvoll in das Mosaik der arztli- chen Entscheidungen einzuordnen sind.

H. Lang Sehr verehrte Gaste, liebe Kolleginnen und Kollegen, 1m Namen des Sponsors begrUBe ich Sie herzlich zum 5. Symposium unserer Reihe "Zusamrnenarbeit von Klinik und Klinischer Chemie". Wir danken Ihnen, daB Sie sich fUr zwei Tage aus Ihren Pflich- ten freigemacht haben, um hier mit uns zu diskutieren. Jedoch glauben wir, daB eine Thematik zur Debatte steht, welche diese Zusamrnenarbeit durchaus bereichern kann, wenn es uns gelingt, sie in der richtigen Weise zu diskutieren und zu verarbeiten. Da es sich um die verstarkte Aktivitat der Klinischen Chemie in neuen, mehr arztlich ausgerichteten Problemkreisen handelt, brauchen wir zur richtigen Weiterentwicklung der Denkansatze die Resonanz und den Kommentar der Kollegen aus der Klinik. Ich darf Sie nun in aller Klirze und mit der notwendigen Verein- fachung komplexer Zusamrnenhange in die Thematik des Symposiums einflihren. Mein Ziel dabei ist, den roten Faden aufzuzeigen, der alle Themen dieser Veranstaltung miteinander verbindet und der den Weg aufzeigen soll, auf welchen wir die Diskussionen zu lenken haben.

Rick H. often starts his "talk" at recovery meetings with this statement: "I come here because the Rick of old will drink again. So I need to change, and this is where my professors are." He then adds that, to live a sober, happy life, he had to find a replacement for the alcohol that he used in his struggles to cope with the realities of life. That replacement includes a set of "tools" that he relies on to contend with all of life's ups and downs They reflect a wide range of powerful insights and practical wisdom gathered over twenty years from fellow recovering addicts in countless meetings, retreats, and workshops.

Realizing the power of compiling and sharing this life-changing information in one source, and recognizing that every addict needs such a "toolkit," Rick wrote Under Construction. Its primary purpose is to provide a simple reference guide consisting of twenty-five life-recovery tools, described in a practical, easy-to-read format along with real-life stories of how these tools have been applied. In addition, he includes probing questions that will challenge the reader to explore how these areas relate to his or her personal journey of recovery.

"The tools presented in Under Construction can turn your life around--if you have the guts to follow this pragmatic book. It will give you insight into the triggers that can accelerate progress in recovery and all relationships. Prepare for hard-hitting questions and no-holds-barred action steps. The book goes straight to tackling the biggest challenges facing anyone in recovery. "-Todd S.

A portion of the proceeds from this book will be donated to organizations supporting recovery efforts.

How do individual differences interact with situational factors to shape social behavior? Are people with certain traits more likely to form lasting marriages; experience test-taking anxiety; break the law; feel optimistic about the future? This handbook provides a comprehensive, authoritative examination of the full range of personality variables associated with interpersonal judgment, behavior, and emotion. The contributors are acknowledged experts who have conducted influential research on the constructs they address. Chapters discuss how each personality attribute is conceptualized and assessed, review the strengths and limitations of available measures (including child and adolescent measures, when available), present important findings related to social behavior, and identify directions for future study.

*The unrivaled SEM handbook, significantly revised: 60% new material includes 23 new chapters and 13 new topics. *A "one-stop shop" for researchers and graduate students seeking broad and deep coverage of SEM. *Expertly balances conceptual sophistication with accessible writing. *Editor, advisory board, and contributors are a who's who of leaders in the field. *International appeal--SEM is a hot topic worldwide, and chapter authors hail from the U.S., Canada, U.K., Europe, Australia, and Singapore.

Newer statistical models, such as structural equation modeling and hierarchical linear modeling, require large sample sizes inappropriate for many research questions or unrealistic for many research arenas. How can researchers get the sophistication and flexibility of large sample studies without the requirement of prohibitively large samples? This book describes and illustrates statistical strategies that meet the sophistication/flexibility criteria for analyzing data from small samples of fewer than 150 cases. Contributions from some of the leading researchers in the field cover the use of multiple imputation software and how it can be used profitably with small data sets and missing data; ways to increase statistical power when sample size cannot be increased; and strategies for computing effect sizes and combining effect sizes across studies. Other contributions describe how to hypothesis test using the bootstrap; methods for pooling effect size indicators from single-case studies; frameworks for drawing inferences from cross-tabulated data; how to determine whether a correlation or covariance matrix warrants structure analysis; and what conditions indicate latent variable modeling is a viable approach to correct for unreliability in the mediator. Other topics include the use of dynamic factor analysis to model temporal processes by analyzing multivariate; time-series data from small numbers of individuals; techniques for coping with estimation problems in confirmatory factor analysis in small samples; how the state space model can be used with surprising accuracy with small data samples; and the use of partial least squares as a viable alternative to covariance-based SEM when the N is small and/or the number of variables in a model is large.

Practical and up-to-date, Structural Equation Modeling includes chapters on major aspects of the structural equation modeling approach to research design and data analysis. Written by internationally recognized leaders in structural equation modeling, this book targets graduate students and seasoned researchers in the social and behavioral sciences who wish to understand the basic concepts and issues associated with the structural equation modeling approach and applications to research problems. Though technically sound, the chapters are primarily nontechnical in content and stylemaking the volume an excellent introduction to the structural equation modeling approach for readers studied in traditional inferential statistics. Early chapters are devoted to fundamental concepts such as estimation, fit, assumptions, power, and inference. Later chapters address such practical issues as the use of computer programs for applying the approach to research questions in the social and behavioral sciences.