\u003cP\u003e\u003cEM\u003e\"Yoder and Symons bring decades of work to bear and it shows....[The book is] presented with broad scholarship and conceptual depth.\"\u003c/EM\u003e \u003cP\u003eó\u003cSTRONG\u003eRoger Bakeman,\u003c/STRONG\u003e PhD \u003cBR\u003eProfessor Emeritus \u003cBR\u003eGeorgia State University \u003cP\u003e\u003cEM\u003e\"This outstanding volume transcends the typical treatment of behavior observation methods in introductory research texts. Yoder and Symons articulate a set of measurement principles that serve as the foundation for behavior observation as a scientific tool.\"\u003c/EM\u003e \u003cP\u003eó\u003cSTRONG\u003eWilliam E. MacLean Jr., PhD\u003c/STRONG\u003e \u003cBR\u003eExecutive Director \u003cBR\u003eWyoming Institute for Disabilities University of Wyoming \u003cP\u003eThis comprehensive textbook introduces graduate students to the competent conduct of observational research methods and measurement. The unique approach of this book is that the chapters delineate not only the techniques and mechanics of observational methods, but also the theoretical and conceptual underpinnings of these methods. \u003cP\u003eThe observational methods presented can be used for both single-subject and group-design perspectives, showing students how and when to use both methodologies. In addition, the authors provide many practical exercises within chapters as well as electronic media files of a sample observation session to code with multiple behavior sampling methods. \u003cP\u003e\u003cSTRONG\u003eKey topics:\u003c/STRONG\u003e \u003cUL\u003e\u003cLI\u003eImproving measurement of generalized characteristics through direct observation and the generalizability theory\u003c/LI\u003e\u003cLI\u003eDeveloping coding schemes and designing or adapting coding manuals\u003c/LI\u003e\u003cLI\u003eDetermining sampling methods and metrics for observational variables\u003c/LI\u003e\u003cLI\u003eTraining observers and assessing their agreement\u003c/LI\u003e\u003cLI\u003ePerforming sequential analysis on observational data\u003c/LI\u003e\u003cLI\u003eAssessing the validity of observational variables \u003c/LI\u003e\u003c/UL\u003e
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