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IBM SPSS for Intermediate Statistics.pdf
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旨在帮助学生学习使用的中间统计数据来分析和解释研究数据，这个新版本功能SPSS 20.0软件适用于Windows ，但也可以与早期版本中使用。每章都介绍了几个相关的统计数据，并提供有关如何运行它们和解释输出指令。作者描述了用户友好的，非技术性语言的使用和这些统计数据的解释。作者展示了如何选择的基础上，研究设计，如何使用SPSS来回答研究问题，以及如何解释和写SPSS输出相应的统计信息。 SPSS中级统计， 2 / E提供独特的学习工具。
*所需的关键SPSS的窗口进行分析;
*完整的学生有什么期望能产生与呼出框来突出什么重点输出;
*解释部分和问题，帮助学生更好地理解输出;
*流程图和表格，以帮助选择合适的统计量;
*组织类似于学生，当他们准备他们的数据的研究项目进行的方式的方式实验作业;
*用于实践运行SPSS新的额外的SPSS问题;
*快速参考指南SPSS程序和开始使用SPSS和创建阿帕表和数字附录。新功能此版本包括：
*规模效应，以及在解释部分，与新的预约定价安排指南一致统计学意义的讨论;
*新的和更深入的讨论探索性数据分析，检验假设，可靠性评估，主成分和因子分析，多元回归，logistic回归，因子重复测量的方差分析，多元方差分析和典型相关;
*两个数据集现在可以在本书的光盘上;并随附书;和
*语法，随着输出，对于那些谁喜欢这种格式。这本书是一个理想的补充高级课程中间统计或研究方法在心理学，教育和其他社会和健康科学部门发现。
Designed to help students learn to analyze and interpret research data using intermediate statistics, this new edition features SPSS 20.0 for Windows, but can also be used with earlier versions. Each chapter introduces several related statistics and provides instructions on how to run them and interpret the outputs. The authors describe the use and interpretation of these statistics in user-friendly, non-technical language. The authors demonstrate how to choose the appropriate statistic based on the research design, how to use SPSS to answer research questions, and how to interpret and write about SPSS outputs. SPSS for Intermediate Statistics, 2/e provides unique learning tools.
* the key SPSS windows needed to perform the analyses;
* complete outputs of what students can expect to produce with call-out boxes to highlight what to focus on;
* interpretation sections and questions to help students better understand the output;
* flow charts and tables to help select an appropriate statistic;
* lab assignments organized in a manner similar to the way in which students proceed when they prepare their data for a research project;
* new extra SPSS problems for practice in running SPSS;
* a quick reference guide to SPSS procedure and appendices on getting started with SPSS and creating APA tables and figures.Features new to this edition include:
* a discussion of effect size, as well as statistical significance in the interpretation sections, consistent with the new APA guidelines;
* new and more in-depth discussion of exploratory data analysis, testing assumptions, reliability assessment, principal components and factor analysis, multiple regression, logistic regression, factorial repeated measures ANOVA, MANOVA, and canonical correlation;
* two data sets now available on the book's CD; and enclosed with the book; and
* syntax, along with the outputs, for those who prefer this format. This book is an ideal supplement for advanced courses in intermediate statistics or research methods found in departments of psychology, education, and other social and health sciences.
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