Everything you need to know about fatherhood -- but were afraid to ask!. Why are all parenting books directed at mommies? Daddies need help, too. In fact, when you think about it, they may need more help than their naturally maternal mates do. They need guidance, comfort, and validation. They probably also need a good night's sleep, and they definitely need a good laugh. What the Heck Were You Expecting? provides month-by-month counsel for the spit-up covered, the sleep deprived, and the just plain peek-a-booed out, including such subjects as:What your wife might be complaining about (. . . anything she can think of) What your above-average child may be doing (. . . paying attention to small objects) What you might be concerned about (. . . the meaning of life) A couple of things to say to let her know that you're caring, sensitive, and up on the required reading (. . . "Listen to this one: Statistics show that attendance at work is better among married men with children and spikes even higher among fathers of newborns. Quite a coincidence, huh?") Thomas Hill, registered father and author of the best-selling What to Expect When Your Wife Is Expanding, answers every father's questions about: ESPN as Edu-tainment Horsy Knee Burn Zen and the Art of Spoon-feeding Basics of Crib Assembly Nap Time . . . and How to Hide It from Your Boss . . .among other topics.
Scored by Thomas F. Heck for solo violin with classical guitar accompaniment, this collection includes pieces from Volumes 1-3 of the Suzuki Violin School. Heck, himself a guitarist and Suzuki parent, intended the arrangements to serve as interesting alternative accompaniments to the Violin School repertoire. The contrapuntal interest and enriched timbral possibilities of the violin-with-guitar combination result in unusually appealing chamber music performance pieces suited for young musicians. The intermediate-to-advanced level classical guitar notation is supplemented by chord symbols to enable non-classically trained guitarists to accompany the violin line. Titles: * Twinkle, Twinkle, Little Star Theme and Variations (Shinichi Suzuki) * Song of the Wind (Folk Song) * Go Tell Aunt Rhody (Folk Song) * O Come, Little Children (Folk Song) * May Song (Folk Song) * Long, Long Ago (T.H. Bayly) * Allegro (Shinichi Suzuki) * Three Minuets from Notebook for Anna Magdalena Bach (J.S. Bach) * Chorus from Judas Maccabaeus (G.F. Handel) * Gavotte (F.J. Gossec) * Musette, Gavotte II or the Musette from English Suite III in G Minor for Klavier, BWV 808 (J.S. Bach) * Waltz, Op. 39, No. 15 (J. Brahms) * Theme from Witches' Dance (N. Paganini) * Minuet in G, Wo0 10, No. 2 (L. van Beethoven) * Minuet from Quintet in E (L. Boccherini) * Humoresque, Op. 101, No. 7 (A. Dvorák) * Gavotte (P. Martini) * Gavotte I and II in D from Air for the G String (J.S. Bach) * Minuets, BWV Anh. 114 & BWV Anh. 115 (J.S. Bach)
There has long been a need to introduce performing-arts enthusiasts and students to the fascinating field of iconography, both as manifested in art history and in its more pragmatic or applied forms. Yet relatively little systematic effort has been made to collect and interpret centuries of such visual evidence in the light of the best available art-historical information, combined with corroborating textual documentation and insights from the histories of performance disciplines. Aspiring iconographers of the performing arts need to be aware that there are often several levels of interpretation which great works of visual art will sustain. This book explores these levels of interpretation: a surface or literal reading, a deeper reading of the work which seeks to enter the mind of the artist and asks how and why he put a given work together, and the deepest reading of the work relating it to the artistic traditions and culture in which the artist lived. In expounding on these levels of iconographic interpretations four discourses by scholars active in the study of visual records are given in relation to traditions, techniques, and trends: performance in general (Katritzky), music (Heck), theatre (Erenstein), and dance (Smith). Effort is made to keep abreast of modern technology influencing iconographic representations as on the Internet and virtual reality.Thomas F. Heck is Professor of Musicology and Head of the Music and Dance Library at the Ohio State University.
The Penguin Classics Marvel Collection presents the origin stories, seminal tales, and characters of the Marvel Universe to explore Marvel’s transformative and timeless influence on an entire genre of fantasy Collects X-Men #1, 3, 4, 5, 7, 8, 14, 15, 16, 38, 41, 42, 44, 45, and 46. It is impossible to imagine American popular culture without Marvel Comics. For decades, Marvel has published groundbreaking visual narratives that sustain attention on multiple levels: as metaphors for the experience of difference and otherness; as meditations on the fluid nature of identity; and as high-water marks in the artistic tradition of American cartooning, to name a few. The seeds of a pop-cultural phenomenon were sown with the launch of the first X-Men comic in 1963, at the height of “the Marvel Revolution,” under the creative team of Stan Lee and Jack Kirby. The title was bookended by some of the best Super Hero comics of that era; the first issue established a creative formula that continues to inspire contemporary creators, while the final issues remain acclaimed for the groundbreaking artwork of Neal Adams. This collection gathers several key tales from the original run of the classic X-Men series. A foreword by Rainbow Rowell and scholarly introductions and apparatus by Ben Saunders offer further insight into the enduring significance of the X-Men and classic Marvel comics.
Multilevel and Longitudinal Modeling with IBM SPSS, Third Edition, demonstrates how to use the multilevel and longitudinal modeling techniques available in IBM SPSS Versions 25-27. Annotated screenshots with all relevant output provide readers with a step-by-step understanding of each technique as they are shown how to navigate the program. Throughout, diagnostic tools, data management issues, and related graphics are introduced. SPSS commands show the flow of the menu structure and how to facilitate model building, while annotated syntax is also available for those who prefer this approach. Extended examples illustrating the logic of model development and evaluation are included throughout the book, demonstrating the context and rationale of the research questions and the steps around which the analyses are structured. The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques that facilitate working with multilevel, longitudinal, or cross-classified data sets. The next few chapters introduce the basics of multilevel modeling, developing a multilevel model, extensions of the basic two-level model (e.g., three-level models, models for binary and ordinal outcomes), and troubleshooting techniques for everyday-use programming and modeling problems along with potential solutions. Models for investigating individual and organizational change are next developed, followed by models with multivariate outcomes and, finally, models with cross-classified and multiple membership data structures. The book concludes with thoughts about ways to expand on the various multilevel and longitudinal modeling techniques introduced and issues (e.g., missing data, sample weights) to keep in mind in conducting multilevel analyses. Key features of the third edition: Thoroughly updated throughout to reflect IBM SPSS Versions 26-27. Introduction to fixed-effects regression for examining change over time where random-effects modeling may not be an optimal choice. Additional treatment of key topics specifically aligned with multilevel modeling (e.g., models with binary and ordinal outcomes). Expanded coverage of models with cross-classified and multiple membership data structures. Added discussion on model checking for improvement (e.g., examining residuals, locating outliers). Further discussion of alternatives for dealing with missing data and the use of sample weights within multilevel data structures. Supported by online data sets, the book's practical approach makes it an essential text for graduate-level courses on multilevel, longitudinal, latent variable modeling, multivariate statistics, or advanced quantitative techniques taught in departments of business, education, health, psychology, and sociology. The book will also prove appealing to researchers in these fields. The book is designed to provide an excellent supplement to Heck and Thomas's An Introduction to Multilevel Modeling Techniques, Fourth Edition; however, it can also be used with any multilevel or longitudinal modeling book or as a stand-alone text.
This is the first workbook that introduces the multilevel approach to modeling with categorical outcomes using IBM SPSS Version 20. Readers learn how to develop, estimate, and interpret multilevel models with categorical outcomes. The authors walk readers through data management, diagnostic tools, model conceptualization, and model specification issues related to single-level and multilevel models with categorical outcomes. Screen shots clearly demonstrate techniques and navigation of the program. Modeling syntax is provided in the appendix. Examples of various types of categorical outcomes demonstrate how to set up each model and interpret the output. Extended examples illustrate the logic of model development, interpretation of output, the context of the research questions, and the steps around which the analyses are structured. Readers can replicate examples in each chapter by using the corresponding data and syntax files available at www.psypress.com/9781848729568. The book opens with a review of multilevel with categorical outcomes, followed by a chapter on IBM SPSS data management techniques to facilitate working with multilevel and longitudinal data sets. Chapters 3 and 4 detail the basics of the single-level and multilevel generalized linear model for various types of categorical outcomes. These chapters review underlying concepts to assist with trouble-shooting common programming and modeling problems. Next population-average and unit-specific longitudinal models for investigating individual or organizational developmental processes are developed. Chapter 6 focuses on single- and multilevel models using multinomial and ordinal data followed by a chapter on models for count data. The book concludes with additional trouble shooting techniques and tips for expanding on the modeling techniques introduced. Ideal as a supplement for graduate level courses and/or professional workshops on multilevel, longitudinal, latent variable modeling, multivariate statistics, and/or advanced quantitative techniques taught in psychology, business, education, health, and sociology, this practical workbook also appeals to researchers in these fields. An excellent follow up to the authors’ highly successful Multilevel and Longitudinal Modeling with IBM SPSS and Introduction to Multilevel Modeling Techniques, 2nd Edition, this book can also be used with any multilevel and/or longitudinal book or as a stand-alone text introducing multilevel modeling with categorical outcomes.
This book provides a broad overview of basic multilevel modeling issues and illustrates techniques building analyses around several organizational data sets. Although the focus is primarily on educational and organizational settings, the examples will help the reader discover other applications for these techniques. Two basic classes of multilevel models are developed: multilevel regression models and multilevel models for covariance structures--are used to develop the rationale behind these models and provide an introduction to the design and analysis of research studies using two multilevel analytic techniques--hierarchical linear modeling and structural equation modeling.
Univariate and multivariate multilevel models are used to understand how to design studies and analyze data in this comprehensive text distinguished by its variety of applications from the educational, behavioral, and social sciences. Basic and advanced models are developed from the multilevel regression (MLM) and latent variable (SEM) traditions within one unified analytic framework for investigating hierarchical data. The authors provide examples using each modeling approach and also explore situations where alternative approaches may be more appropriate, given the research goals. Numerous examples and exercises allow readers to test their understanding of the techniques presented. Changes to the new edition include: -The use of Mplus 7.2 for running the analyses including the input and data files at www.routledge.com/9781848725522. -Expanded discussion of MLM and SEM model-building that outlines the steps taken in the process, the relevant Mplus syntax, and tips on how to evaluate the models. -Expanded pedagogical program now with chapter objectives, boldfaced key terms, a glossary, and more tables and graphs to help students better understand key concepts and techniques. -Numerous, varied examples developed throughout which make this book appropriate for use in education, psychology, business, sociology, and the health sciences. -Expanded coverage of missing data problems in MLM using ML estimation and multiple imputation to provide currently-accepted solutions (Ch. 10). -New chapter on three-level univariate and multilevel multivariate MLM models provides greater options for investigating more complex theoretical relationships(Ch.4). -New chapter on MLM and SEM models with categorical outcomes facilitates the specification of multilevel models with observed and latent outcomes (Ch.8). -New chapter on multilevel and longitudinal mixture models provides readers with options for identifying emergent groups in hierarchical data (Ch.9). -New chapter on the utilization of sample weights, power analysis, and missing data provides guidance on technical issues of increasing concern for research publication (Ch.10). Ideal as a text for graduate courses on multilevel, longitudinal, latent variable modeling, multivariate statistics, or advanced quantitative techniques taught in psychology, business, education, health, and sociology, this book’s practical approach also appeals to researchers. Recommended prerequisites are introductory univariate and multivariate statistics.
The Justice League of America and their predecessors, the Justice Society of America, return for another collection of Bronze Age team-up stories that will set the stage for the greatest Crisis event to strike the DC Universe! This final softcover edition of the Crisis on Multiple Earths series collects Justice League of America #171-172, #183-185, #195-197, #207-209, #219-220, #231-232; All-Star Squadron #14-15; and DC Comics Presents Annual #1.
The Penguin Classics Marvel Collection presents the origin stories, seminal tales, and characters of the Marvel Universe to explore Marvel’s transformative and timeless influence on an entire genre of fantasy Collects The Avengers #1-4, 9, 16, 26, 28, 44, 57, 58, 71, 74, and 83. It is impossible to imagine American popular culture without Marvel Comics. For decades, Marvel has published groundbreaking visual narratives that sustain attention on multiple levels: as metaphors for the experience of difference and otherness; as meditations on the fluid nature of identity; and as high-water marks in the artistic tradition of American cartooning, to name a few. Starting in 1961, Stan Lee, Jack Kirby, and their collaborators transformed the Super Hero genre with a series of new creations, including the Incredible Hulk, the Mighty Thor, and the Invincible Iron Man. In 1963, Lee and Kirby brought these characters together for the first time in a new magazine called The Avengers—adding a resurrected Captain America shortly after. Over time the Avengers’ roster would frequently change, mirroring transformations in the Marvel Universe and the society that it reflected. This unique collection gathers key issues from the first few years of the series. A foreword by Leigh Bardugo, a scholarly introduction and apparatus by José Alaniz, and a general series introduction by Ben Saunders offer further insight into the enduring significance of The Avengers and classic Marvel comics.
Multilevel and Longitudinal Modeling with IBM SPSS, Third Edition, demonstrates how to use the multilevel and longitudinal modeling techniques available in IBM SPSS Versions 25-27. Annotated screenshots with all relevant output provide readers with a step-by-step understanding of each technique as they are shown how to navigate the program. Throughout, diagnostic tools, data management issues, and related graphics are introduced. SPSS commands show the flow of the menu structure and how to facilitate model building, while annotated syntax is also available for those who prefer this approach. Extended examples illustrating the logic of model development and evaluation are included throughout the book, demonstrating the context and rationale of the research questions and the steps around which the analyses are structured. The book opens with the conceptual and methodological issues associated with multilevel and longitudinal modeling, followed by a discussion of SPSS data management techniques that facilitate working with multilevel, longitudinal, or cross-classified data sets. The next few chapters introduce the basics of multilevel modeling, developing a multilevel model, extensions of the basic two-level model (e.g., three-level models, models for binary and ordinal outcomes), and troubleshooting techniques for everyday-use programming and modeling problems along with potential solutions. Models for investigating individual and organizational change are next developed, followed by models with multivariate outcomes and, finally, models with cross-classified and multiple membership data structures. The book concludes with thoughts about ways to expand on the various multilevel and longitudinal modeling techniques introduced and issues (e.g., missing data, sample weights) to keep in mind in conducting multilevel analyses. Key features of the third edition: Thoroughly updated throughout to reflect IBM SPSS Versions 26-27. Introduction to fixed-effects regression for examining change over time where random-effects modeling may not be an optimal choice. Additional treatment of key topics specifically aligned with multilevel modeling (e.g., models with binary and ordinal outcomes). Expanded coverage of models with cross-classified and multiple membership data structures. Added discussion on model checking for improvement (e.g., examining residuals, locating outliers). Further discussion of alternatives for dealing with missing data and the use of sample weights within multilevel data structures. Supported by online data sets, the book's practical approach makes it an essential text for graduate-level courses on multilevel, longitudinal, latent variable modeling, multivariate statistics, or advanced quantitative techniques taught in departments of business, education, health, psychology, and sociology. The book will also prove appealing to researchers in these fields. The book is designed to provide an excellent supplement to Heck and Thomas's An Introduction to Multilevel Modeling Techniques, Fourth Edition; however, it can also be used with any multilevel or longitudinal modeling book or as a stand-alone text.
Univariate and multivariate multilevel models are used to understand how to design studies and analyze data in this comprehensive text distinguished by its variety of applications from the educational, behavioral, and social sciences. Basic and advanced models are developed from the multilevel regression (MLM) and latent variable (SEM) traditions within one unified analytic framework for investigating hierarchical data. The authors provide examples using each modeling approach and also explore situations where alternative approaches may be more appropriate, given the research goals. Numerous examples and exercises allow readers to test their understanding of the techniques presented. Changes to the new edition include: -The use of Mplus 7.2 for running the analyses including the input and data files at www.routledge.com/9781848725522. -Expanded discussion of MLM and SEM model-building that outlines the steps taken in the process, the relevant Mplus syntax, and tips on how to evaluate the models. -Expanded pedagogical program now with chapter objectives, boldfaced key terms, a glossary, and more tables and graphs to help students better understand key concepts and techniques. -Numerous, varied examples developed throughout which make this book appropriate for use in education, psychology, business, sociology, and the health sciences. -Expanded coverage of missing data problems in MLM using ML estimation and multiple imputation to provide currently-accepted solutions (Ch. 10). -New chapter on three-level univariate and multilevel multivariate MLM models provides greater options for investigating more complex theoretical relationships(Ch.4). -New chapter on MLM and SEM models with categorical outcomes facilitates the specification of multilevel models with observed and latent outcomes (Ch.8). -New chapter on multilevel and longitudinal mixture models provides readers with options for identifying emergent groups in hierarchical data (Ch.9). -New chapter on the utilization of sample weights, power analysis, and missing data provides guidance on technical issues of increasing concern for research publication (Ch.10). Ideal as a text for graduate courses on multilevel, longitudinal, latent variable modeling, multivariate statistics, or advanced quantitative techniques taught in psychology, business, education, health, and sociology, this book's practical approach also appeals to researchers. Recommended prerequisites are introductory univariate and multivariate statistics.
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