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Hairs vs. Squares is an ode to an unforgettable season that began with the first major players’ strike in the history of North American sports and ended with a record-setting World Series played by two of the game’s greatest and most colorful dynasties. In a sign of the times it was Hippies vs. Hardhats, a clash of cultures with the hirsute, mod Mustache Gang colliding with the clean-cut, conservative Big Red Machine on the game’s grandest stage. When the Oakland A’s met the Cincinnati Reds in the 1972 Fall Classic, more than a championship was at stake. The more than two dozen interviews bring to life a time when controversy was commonplace, both inside and outside the national pastime. In baseball, Willie Mays was traded, Hank Aaron was chasing down Babe Ruth’s home run record, and Dick Allen was helping to save the Chicago White Sox franchise while winning the American League’s Most Valuable Player award. Outside the American pastime the war in Vietnam was raging, campus protests spread throughout the country, and Watergate and the Munich Olympics headlined the tumultuous year. The 1972 Major League Baseball season was marked by the rapid rise of rookies and young stars, the fall of established teams and veterans, courageous comebacks, and personal redemptions. Along with the many unforgettable and outrageous characters inside baseball, Hairs vs. Squares emphasizes the dramatic changes that took place on and off the field in the 1970s. Owners’ lockouts, on-field fights, maverick managers, controversial trades, artificial fields, the first full five-game League Championship Series, and the closest, most competitive World Series ever, combined to make the 1972 season as complex as the social and political unrest that marked the era.
Partial least squares structural equation modeling (PLS-SEM) has become a standard approach for analyzing complex inter-relationships between observed and latent variables. Researchers appreciate the many advantages of PLS-SEM such as the possibility to estimate very complex models and the method’s flexibility in terms of data requirements and measurement specification. This practical open access guide provides a step-by-step treatment of the major choices in analyzing PLS path models using R, a free software environment for statistical computing, which runs on Windows, macOS, and UNIX computer platforms. Adopting the R software’s SEMinR package, which brings a friendly syntax to creating and estimating structural equation models, each chapter offers a concise overview of relevant topics and metrics, followed by an in-depth description of a case study. Simple instructions give readers the “how-tos” of using SEMinR to obtain solutions and document their results. Rules of thumb in every chapter provide guidance on best practices in the application and interpretation of PLS-SEM.
Special edition of the Federal Register, containing a codification of documents of general applicability and future effect ... with ancillaries.
The Code of Federal Regulations is the codification of the general and permanent rules published in the Federal Register by the executive departments and agencies of the Federal Government.
A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) by Joseph F. Hair, Jr., G. Tomas M. Hult, Christian Ringle, and Marko Sarstedt is a practical guide that provides concise instructions on how to use partial least squares structural equation modeling (PLS-SEM), an evolving statistical technique, to conduct research and obtain solutions. Featuring the latest research, new examples using the SmartPLS software, and expanded discussions throughout, the Second Edition is designed to be easily understood by those with limited statistical and mathematical training who want to pursue research opportunities in new ways.