Intermediate Statistics: A Conceptual Course

A student-friendly text which enables students to appreciate the logic of descriptive and inferential statistics, and understand which techniques are best suited to which kinds of data or research questions “The text is highly readable, and the author has done a good job making difficult topics like path analysis easy for students to comprehend. As much as possible, the author uses simple language and explains things in ways that students would be able to grasp. His incorporation of numerous examples helps to facilitate this goal as well.” “The key strengths of this text are is applied perspective, focusing on conceptual understanding of data analyses rather than arcane statistical proofs. It finds just the right balance of technical, conceptual and practical perspectives. In addition, the heavy reliance on real-world examples and supplemental information in appendices will render it an invaluable resource for young graduate students as they progress in their research training.” “This is a breath of fresh air compared to most statistics texts—rigorous but highly readable. The author does an impressive job of making statistical concepts feel intuitive. In addition, the integration of datasets and SPSS problems to solve make this book unique.” Intermediate Statistics: A Conceptual Course is a student-friendly text for advanced undergraduate and graduate courses. It begins with an introductory chapter that reviews descriptive and inferential statistics in plain language, avoiding extensive emphasis on complex formulas. The remainder of the text covers 13 different statistical topics ranging from descriptive statistics to advanced multiple regression analysis and path analysis. Each chapter contains a description of the logic of each set of statistical tests or procedures and then introduces students to a series of data sets using SPSS, with screen captures and detailed step-by-step instructions. Students acquire an appreciation of the logic of descriptive and inferential statistics, and an understanding of which techniques are best suited to which kinds of data or research questions.

• | Author: Brett W. Pelham
• | Publisher: SAGE Publications Inc
• | Publication Date: Oct 23, 2012
• | Number of Pages:
• | Language:
• | Binding: Hardback
• | ISBN-13: 9781412994989
• | ISBN-10: 1412994985