网上购物 货比三家
您现在的位置:快乐比价网 > 图书 > 计算机与网络 > 计算机/网络 > 商品详情

Essential First Steps to Data Analysis: Scenario-Based Examples Using SPSS

分享到:
Essential First Steps to Data Analysis: Scenario-Based Examples Using SPSS

最 低 价:¥432.40

定 价:¥0.00

作 者:Carol S. Parke

出 版 社:

出版时间:2012年12月11日

I S B N:9781412997515

商品详情

编辑推荐

内容简介

作者简介

Carol S. Parke, Ph.D. is an Associate Professor in the Department of Educational Foundations and Leadership at Duquesne University in Pittsburgh, PA. She teaches statistics, research, and measurement courses to students in masters and doctoral programs in the School of Education. Her educational background includes a Ph.D. in Research Methodology and an M.A. in Mathematics/Statistics from the University of Pittsburgh as well as a B.S. in Secondary Mathematics Education from Indiana University of Pennsylvania. Dr. Parke's 20 years of research spans a broad range from the design and analysis of large-scale, long-term state and national assessment projects to working intimately with teachers in the classroom to show them how to collect and use data , right now, to make decisions and real-time, real-world improvement. Her work has appeared in research and practitioner journals in measurement, assessment, mathematics education, and statistics and includes "Using Assessment to Improve Middle-Grades Mathematics Teaching and Learning", a book for teachers on using performance assessment in mathematics classrooms published by the National Council of Teachers of Mathematics.

作者简介

目录

Section 1. The Sample Module 1. Checking the Representativeness of a Sample Module 2. Splitting a File, Selecting Cases, Creating Standardized Scores and Ranks Section 2. Nature and Distribution of Variables Module 3. Recoding, Counting, and Computing Variables Module 4. Determining the Scale of a Variable Module 5. Identifying and Addressing Outliers Section 3. Model Assumptions Module 6. Evaluating Model Assumptions for Testing Mean Differences Module 7. Evaluating Model Assumptions for Multiple Regression Analysis Section 4. Missing Data Module 8. Determining the Quantity and Nature of Missing Data Module 9. Quantifying Missing Data and Diagnosing its Patterns Section 5. Working with Multiple Data Files Module 10. Merging Files Module 11. Aggregating Data and Restructuring Files Module 12. Identifying a Cohort of Students

商品评论(0条)

暂无评论!

您的浏览历史

loading 内容加载中,请稍后...