Discovering statistics using SPSS : (and sex, drugs and rock'n' roll)
Discovering statistics using SPSS : (and sex, drugs and rock'n' roll)
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使用 SPSS 发现统计数据：（以及性、毒品和摇滚乐）
DOI：
10.5860/choice.43-3433
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发表时间：
2005
期刊：
影响因子：
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通讯作者：
A. Field
中科院分区：
文献类型：
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作者：
A. Field
你想知道的关于统计学的一切（好吧，某种程度上）建立统计模型人口和样本简单的统计模型频率分布我的样本代表人口吗？线性模型如何判断我们的模型是否代表真实的世界？SPSS环境版本SPSS入门数据编辑器输出查看器Windows窗口保存文件检索文件探索数据参数数据绘图和筛选数据探索数据组检验分布是否正态方差齐性检验绘图均值相关性如何衡量关系？使用SPSS进行相关分析的数据输入图表关系散点图二元相关偏相关如何报告相关系数回归介绍在SPSS上进行简单回归解释简单回归多元回归基本知识我的回归模型有多准确？如何使用SPSS进行多元回归解释多元回归如何报告多元回归分类预测因子和多元回归逻辑回归背景逻辑回归背后的原理是什么？运行分析一个研究示例解释逻辑回归如何报告逻辑回归另一个示例测试多重共线性可能出错的东西比较两个平均值实验研究的修订输入数据和误差条形图的平均值测试平均值之间的差异t检验相关t检验组间或重复测量之间的独立t检验？作为一般线性模型的t检验如果我们的数据不是正态分布的呢？比较几种方法：方差分析（GLM 1）方差分析背后的理论在SPSS上运行单因素方差分析从单因素方差分析输出计算单因素独立方差分析的效应量报告结果违反单因素独立方差分析中的假设协方差分析，ANCOVA（GLM 2）什么是ANCOVA？在SPSS上进行ANCOVA解释ANCOVA的输出ANCOVA运行为多元回归ANCOVA中的附加假设计算效应量报告结果因子ANOVA（GLM 3）因子ANOVA理论（组间）析因方差分析使用SPSS从析因方差分析输出解释交互作用图计算效应量将双因素方差分析的结果报告为回归重复测量结果（GLM 4）重复测量设计简介单因素重复测量方差分析理论使用SPSS的单因素重复测量方差分析单因素重复测量方差分析的输出重复测量方差分析的效应大小重复测量方差分析报告单因素重复测量方差分析多个自变量的重复测量因变量的输出因变量重复测量方差分析的效应大小因变量重复测量方差分析报告因变量重复测量的结果测量ANOVA混合设计ANOVA（GLM 5）SPSS上的混合ANOVA混合析因ANOVA主分析输出计算效应量报告混合ANOVA结果非参数检验比较两个独立条件Wilcoxon秩和检验和Mann-Whitney检验比较两个相关条件Wilcoxon符号秩检验几个独立组之间的差异Kruskal-沃利斯检验几个相关组之间的差异Friedman方差分析多变量方差分析（MANOVA）介绍方差分析的异同MANOVA理论MANOVA的假设MANOVA对SPSS的输出MANOVA的后续MANOVA与判别分析的判别分析输出探索性因子分析因子发现因子研究示例运行分析解释SPSS的输出可靠性分析分类数据分析分类数据的理论卡方检验的假设在SPSS上进行卡方检验几个分类变量对数线性分析的假设对数线性分析使用SPSS的对数线性分析输出后续对数线性分析对数线性分析的效应大小报告对数线性分析的结果
EVERYTHING YOU WANTED TO KNOW ABOUT STATISTICS (WELL, SORT OF) Building Statistical Models Populations and Samples Simple Statistical Models Frequency Distributions Is My Sample Representative of the Population? Linear Models How Can We Tell If Our Model Represents the Real World? THE SPSS ENVIRONMENT Versions of SPSS Getting Started The Data Editor The Output Viewer The Syntax Window Saving Files Retrieving a File EXPLORING DATA Parametric Data Graphing and Screening Data Exploring Groups of Data Testing Whether a Distribution is Normal Testing for Homogeneity of Variance Graphing Means CORRELATION How Do We Measure Relationships? Data Entry for Correlation Analysis Using SPSS Graphing Relationships The Scatterplot Bivariate Correlation Partial Correlation How To Report Correlation Coefficients REGRESSION An Introduction to Regression Doing Simple Regression on SPSS Interpreting a Simple Regression Multiple Regression The Basics How Accurate Is My Regression Model? How To Do Multiple Regression Using SPSS Interpreting Multiple Regression How To Report Multiple Regression Categorical Predictors and Multiple Regression LOGISTIC REGRESSION Background to Logistic Regression What Are the Principles behind Logistic Regression? Running the Analysis A Research Example Interpreting Logistic Regression How To Report Logistic Regression Another Example Testing for Multicollinearity Things That Can Go Wrong COMPARING TWO MEANS Revision of Experimental Research Inputting Data and Displaying Means with Error Bar Charts Testing Differences between Means The t-Test The Dependent t-Test The Independent t-Test Between Groups or Repeated Measures? The t-Test as a General Linear Model What If Our Data Are Not Normally Distributed? COMPARING SEVERAL MEANS: ANOVA (GLM 1) The Theory behind ANOVA Running One-Way ANOVA on SPSS Output from One-Way ANOVA Calculating the Effect Size Reporting Results from One-Way Independent ANOVA Violations of Assumptions in One-Way Independent ANOVA ANALYSIS OF COVARIANCE, ANCOVA (GLM 2) What Is ANCOVA? Conducting ANCOVA on SPSS Interpreting the Output from ANCOVA ANCOVA Run as a Multiple Regression Additional Assumptions in ANCOVA Calculating the Effect Size Reporting Results FACTORIAL ANOVA (GLM 3) Theory of Factorial ANOVA (Between Groups) Factorial ANOVA Using SPSS Output from Factorial ANOVA Interpreting Interaction Graphs Calculating Effect Sizes Reporting the Results of Two-Way ANOVA Factorial ANOVA as Regression REPEATED-MEASURES DESIGNS (GLM 4) Introduction to Repeated-Measures Designs Theory of One-Way Repeated-Measures ANOVA One-Way Repeated-Measures ANOVA Using SPSS Output for One-Way Repeated-Measures ANOVA Effect Sizes for Repeated-Measures ANOVA Reporting One-Way Repeated-Measures ANOVA Repeated-Measures with Several Independent Variables Output for Factorial Repeated-Measures ANOVA Effect Sizes for Factorial Repeated-Measures ANOVA Reporting the Results from Factorial Repeated-Measures ANOVA MIXED DESIGN ANOVA (GLM 5) Mixed ANOVA on SPSS Output for Mixed Factorial ANOVA Main Analysis Calculating Effect Sizes Reporting the Results of Mixed ANOVA NON-PARAMETRIC TESTS Comparing Two Independent Conditions The Wilcoxon Rank-Sum Test and Mann-Whitney Test Comparing Two Related Conditions The Wilcoxon Signed-Rank Test Differences between Several Independent Groups The Kruskal-Wallis Test Differences between Several Related Groups Friedman's ANOVA MULTIVARIATE ANALYSIS OF VARIANCE (MANOVA) Introduction Similarities and Differences to ANOVA Theory of MANOVA Assumptions of MANOVA MANOVA on SPSS Output from MANOVA Following Up MANOVA with Discriminant Analysis Output from the Discriminant Analysis EXPLORATORY FACTOR ANALYSIS Factors Discovering Factors Research Example Running the Analysis Interpreting Output from SPSS Reliability Analysis CATEGORICAL DATA Theory of Analyzing Categorical Data Assumptions of the Chi-Square Test Doing Chi-Square on SPSS Several Categorical Variables Log Linear Analysis Assumptions in Loglinear Analysis Loglinear Analysis Using SPSS Output from Loglinear Analysis Following Up Loglinear Analysis Effect Sizes in Loglinear Analysis Reporting the Results of Loglinear Analysis