معرفی کتاب «طراحیهای تجربی با استفاده از ANOVA- طراحی و تحلیل تحقیق با کمک کامپیوتر» (با عنوان لاتین Experimental Designs Using ANOVA- Computer-assisted Research Design and Analysis) نوشتهٔ Barbara G. Tabachnick, Linda S. Fidell، منتشرشده توسط نشر Allyn and Bacon در سال 2001. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.
Designed for upper-level undergraduate- and graduate-level courses in research design and analysis in departments of psychology, education, sociology, anthropology, and other social and behavioral sciences. A comprehensive review of analyses of basic and complex ANOVA models through traditional approaches and multiple regression, integrating the most recent releases of MINITAB, SAS, SPSS, and SYSTAT. In all chapters of this comprehensive text, both the basic model and its numerous complexities are presented along with discussions of effect size, relative efficiency and comparisons, illustrated by numerous examples. For each major model, the text provides tests for assumptions, a hand-worked example, and an example with real data including a write-up of the results using APA format. The text also provides data sets, syntax, and output for accomplishing numerous additional analyses through recent releases of MINITAB, SAS, SPSS and SYSTAT, often neglected in software manuals. *TECHNOLOGY ADVANTAGE: Inclusion of syntax and output from MINITAB, SAS, SPSS, and SYSTAT allows students to concentrate on the research question rather than on the specifics of the software program and provides 1. Introduction. 1.1. The Nature Of Research. 1.2. Types Of Research Design. 1.3. Types Of Treatments. 1.4. Outcome Measures. 1.5. Overview Of Research Designs. 1.6. Overview Of Issues Encountered In Most Designs. 1.7. Generalizing Results. 1.8. Computer Assistance. 1.9. Organization Of The Book. 1.10. Choosing A Design: Some Guidelines -- 2. Organizing, Describing, And Screening Data. 2.1. Organizing Data For A Computer. 2.2. Describing Data From One Variable. 2.3. Describing Relationships Between Two Variables -- 3. Basic Anova: Logic Of Analysis And Tests Of Assumptions. 3.1. Introduction. 3.2. Analysis Of Variance. 3.3. The Regression Approach To Anova. 3.4. Assumptions Of Analysis. 3.5. Other Recurring Issues. Barbara G. Tabachnick, Linda S. Fidell. Includes Bibliographical References (p. 733-735) And Index. A comprehensive review of analyses of basic and complex ANOVA models through traditional approaches and multiple regression, integrating the most recent releases of MINTAB, SAS, SPSS, and SYSTAT. In each chapter, the basic model and its numerous complexities are presented along with discussions of effect size, relative efficiency and comparisons, illustrated by many examples. For each major model, the book provides tests for assumptions, a hand-worked example, and an example with real data including a write-up of the results using APA format. Also includes data sets, syntax, and output for accomplishing analyses through recent releases of MINITAB, SAS, SPSS, and SYSTAT, often neglected in software manuals. For anyone interested in research design and analysis; especially appropriate for social sciences.
Succeed in statistics with EXPERIMENTAL DESIGN USING ANOVA with accompanying STUDENT SUITE CD-ROM! With a practical approach, this statistics text provides you with instructions on how to perform both simple and complex analyses by hand, through regression, and through SPSS and SAS so that you will be prepared to effectively design and analyze research projects. Examples and exercises found throughout the text help clarify difficult concepts. Use the accompanying CD-ROM and the book-specific website to access data sets for these examples and exercises. All chapters follow a similar outline allowing you to readily and easily find the material you are looking for.
"This text reflects the practical approach of the authors. Barbara Tabachnick and Linda Fidell emphasize the use of statistical software in design and analysis of research in addition to conceptual understanding fostered by the presentation and interpretation of fundamental equations. EXPERIMENTAL DESIGN USING ANOVA includes the regression approach to ANOVA alongside the traditional approach, making it clearer and more flexible. The text includes details on how to perform both simple and complicated analyses by hand through traditional means, through regression, and through SPSS and SAS."--Publisher's website. 05142_17_IFC.pdf 05142_00_frontmatter.pdf 05142_01_ch01_p001-028.pdf 05142_02_ch02_p029-068.pdf 05142_03_ch03_p069-097.pdf 05142_04_ch04_p098-153.pdf 05142_05_ch05_p154-241.pdf 05142_06_ch06_p242-315.pdf 05142_07_ch07_p316-378.pdf 05142_08_ch08_p379-477.pdf 05142_09_ch09_p478-551.pdf 05142_10_ch10_p552-619.pdf 05142_11_ch11_p620-684.pdf 05142_12_appendixA.pdf 05142_13_appendixB.pdf 05142_14_appendixC.pdf 05142_15_references.pdf 05142_16_index.pdf 05142_18_IBC.pdf