Caretaker's Apprentice: Curse of the Pika By: Karen Lindsey Gillespie After a confrontation with a classmate results in her suspension from school, thirteen-year-old Lyric Thindrell is shipped off to her reclusive Aunt Reverie’s house for the summer. At first she believes she’s being punished—although, she insists she never fought back against her classmate’s abuse—Lyric soon discovers her mother has been hiding a myriad of secrets, including their magical heritage, the existence of supernatural creatures, and a heartbreaking family curse that spans three generations. Finding herself in a remote location removed from the comforts of technology, battling feelings of betrayal and anger against her mother, Lyric throws herself into harnessing her powers and gathering clues to break the curse and bring her family happiness and peace.
Caretaker's Apprentice: Curse of the Pika By: Karen Lindsey Gillespie After a confrontation with a classmate results in her suspension from school, thirteen-year-old Lyric Thindrell is shipped off to her reclusive Aunt Reverie’s house for the summer. At first she believes she’s being punished—although, she insists she never fought back against her classmate’s abuse—Lyric soon discovers her mother has been hiding a myriad of secrets, including their magical heritage, the existence of supernatural creatures, and a heartbreaking family curse that spans three generations. Finding herself in a remote location removed from the comforts of technology, battling feelings of betrayal and anger against her mother, Lyric throws herself into harnessing her powers and gathering clues to break the curse and bring her family happiness and peace.
A behind-the-scenes look at how digital surveillance is affecting the trucking way of life Long-haul truckers are the backbone of the American economy, transporting goods under grueling conditions and immense economic pressure. Truckers have long valued the day-to-day independence of their work, sharing a strong occupational identity rooted in a tradition of autonomy. Yet these workers increasingly find themselves under many watchful eyes. Data Driven examines how digital surveillance is upending life and work on the open road, and raises crucial questions about the role of data collection in broader systems of social control. Karen Levy takes readers inside a world few ever see, painting a bracing portrait of one of the last great American frontiers. Federal regulations now require truckers to buy and install digital monitors that capture data about their locations and behaviors. Intended to address the pervasive problem of trucker fatigue by regulating the number of hours driven each day, these devices support additional surveillance by trucking firms and other companies. Traveling from industry trade shows to law offices and truck-stop bars, Levy reveals how these invasive technologies are reconfiguring industry relationships and providing new tools for managerial and legal control—and how truckers are challenging and resisting them. Data Driven contributes to an emerging conversation about how technology affects our work, institutions, and personal lives, and helps to guide our thinking about how to protect public interests and safeguard human dignity in the digital age.
The complexity of social problems necessitates that social work researchers understand and apply multivariate statistical methods in their investigations. In this pocket guide, the authors introduce readers to three of the more frequently used multivariate methods in social work research with an emphasis on basic statistics. The primary aim is to prepare entry-level doctoral students and early career social work researchers in the use of multivariate methods by providing an easy-to-understand presentation, building on the basic statistics that inform them. The pocket guide begins with a review of basic statistics, hypothesis testing with inferential statistics, and bivariate analytic methods. Subsequent sections describe bivariate and multiple linear regression analyses, one-way and two-way analysis of variance (ANOVA) and covariance (ANCOVA), and path analysis. In each chapter, the authors introduce the various basic statistical procedures by providing definitions, formulas, descriptions of the underlying logic and assumptions of each procedure, and examples of how they have been used in social work research literature, particularly with diverse populations. They also explain estimation procedures and how to interpret results. The multivariate chapters conclude with brief step-by-step instructions for conducting multiple regression analysis and one-way ANOVA in Statistical Package for the Social Sciences (SPSS), and path analysis in Amos, using data from the National Educational Longitudinal Study of 1988 (NELS: 88). As an additional supplement, the book offers a companion website that provides more detailed instructions, as well as data sets and worked examples.
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