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处理定量资料用2类参数检验方法,即t检验和方差分析。通常情况下,比较各平均值之间的差别是否具有统计学意义,可能会用到的t检验有3种,方差分析有10种之多。它们之间的区别体现在定量资料所对应的“实验设计类型”上,讲t检验时,应注明是“单组设计定量资料的t检验”、“配对设计定量资料的t检验”还是“成组设计定量资料的t检验”;讲方差分析时,应注明是“单因素多水平设计定量资料的方差分析”、“随机区组设计定量资料的方差分析”、“拉丁方设计定量资料的方差分析”、“交叉设计定量资料的方差分析”、“×因素析因设计定量资料的方差分析”及“具有×个重复测量的,×因素设计定量资料的方差分析”等。
Quantitative data processing with two types of parameter test methods, t test and analysis of variance. In general, comparing the differences between the means is statistically significant, there are three t tests that may be used, and as many as 10 variance analyzes. The difference between them is reflected in the “experimental design type ” corresponding to the quantitative data, t-test, it should be noted that the “single-group design quantitative data t test ”, “paired design quantitative data t test ”or“ group design quantitative data t test ”variance analysis, it should be noted that ANOVA “,” Analysis of variance of Latin square design quantitative data “,” Analysis of variance of quantitative data of cross design “,” Factor analysis of quantitative analysis of factorial design “and” Repeated measurements, × factor analysis of quantitative analysis of variance "and so on.