本例采用Welch方差分析,结果见Robust Tests of Equality of Means表格: 可以报告:不同水平的体力活动组间,应对职场压力的能力(CWWS得分)差异具有统计学意义,Welch F(3,14.574)=14.821,P<0.0005。 结果叙述里的指标与Robust Tests of Equality of Means表格对应如...
本例采用Welch方差分析,结果见Robust Tests of Equality of Means表格: 可以报告:不同水平的体力活动组间,应对职场压力的能力(CWWS得分)差异具有统计学意义,Welch F(3,14.574)=14.821, P<0.0005。 结果叙述里的指标与Robust Tests of Equality of Means表格对应如下: 每部分的含义如下: 当差异无统计学意义时,我们...
it is also one of the most difficult to learn. To use SAS, you write SAS programs that manipulate your data and perform your data analyses. If you make a mistake in a SAS program, it can be hard to see where the error occurred
14、regression,regressionwithrobuststandarderrors,andmanyotherestimationcommandsincluderobuststandarderrorsaswell.stataalsoexcelsintheareaofsurveydataanalysisofferingtheabilitytoanalyzesurveydataforregression,logisticregression,poissonregression,probitregression,etc.).thegreatestweaknessesin thisareawou 15、ldprobablybe in...
Stata also has a very nice array of robust methods that are very easy to use, including robust regression, regression with robust standard errors, and many other estimation commands include robust standard errors as well. Stata also excels in the area of survey data analysis offering the ...
(e.g. manova, factor analysis, discriminant analysis) and SPSS 11 has added some capabilities for analyzing mixed models. The greatest weakness of SPSS are probably in the absence of robust methods (we know of no abilities to perform robust regression or to obtain robust standard errors), the...
可以想到，每个软件都有自己独特的风格，有自己的优缺点。本文对此做了概述，但并不是一个综合的比较。人们时常会对自己所使用的统计软件有特别的偏好，希望大多数人都能认同这是对这些软件真实而公允的一个对比分析。SAS、SPSS 和Stata的比较 Special Issue Comparison Between SAS,SPSS and Stata www.epiman.cn ...
Stata also has a very nice array of robust methods that are very easy t 23、o use, including robust regression, regression with robust standard errors, and many other estimation commands include robust standard errors as well. Stata also excels in the area of survey data analysis offering the...
共變數矩陣:如果個案數夠多可以選擇穩健估計式(Robust),如果過少的話可以選擇模式估計式(Model-based estimator) 結構:選非結構化。當你不知道你的資料共變結構的時候,可以先考慮使用非結構化(Unstructured correlation, UN),如果重複量測次數多之後,可以選擇一階自迴歸模型(First-order autoregressive correlation, AR...
. 00 0 表12-3(练习) Brown-Forsythe 检验与Welch 检验的结果 Robust Test s of Equalit y of Means 平时一天上网打游戏时间 St a t ist ica df1 We lch 2. 1 34 2 Bro wn-Fo rs yt he 2. 8 32 2 a. Asymptotically F distributed. df2 69 . 254 51 . 707 Sig. . 12 6 . 06 8 表...