索引值代表作用中資料集中的位置,從檔案順序中第一個變數的 0 開始。 範例 #create separate strings of numeric and string variables numericvars='' stringvars='' varcount=spss.GetVariableCount() for i in range(varcount): if spss.GetVariableType(i) > 0: stringvars=stringvars + " " + spss.G...
numeric是数值型，data是日期型，string是字符型，这是主要的也是常用的 其它用的很少，想知道意思很简单，去百度翻译查一下就知道 输入汉字选择字符，但是听到你这个问题，就立马知道，你肯定不懂统计，因为spss是计算的软件，而汉字是不能计算的 所以建议你别自己做了，请人帮你比较好 有SPSS中文版的
for i in range(varcount): if spss.GetVariableType(i) > 0: stringvars=stringvars + " " + spss.GetVariableName(i) else: numericvars=numericvars + " " + spss.GetVariableName(i)
在SPSS分析软件中,如下图所示,“Type”列是选择变量类型(Variable Type)的地方,右面“Measure”列选的是测量尺度(Measure scale)的地方,因为SPSS一般是对数值进行处理,因此一般变量的类型(Type)会选择“Numeric“【仅在于说明是一般情况】 Data->Define variable propertities就可以进行更详细的编辑,同时能够更具体看到...
比例尺度（定比尺度）具备所有特性，数值有实际意义的零点，支持加减乘除运算。在统计软件SPSS中，变量类型（Type）常选择数值型（Numeric），测量尺度（Measure）则根据变量性质选择，如名义、顺序、等距或定比尺度。SPSS用于数据处理与分析，其变量类型和测量尺度定义帮助正确执行统计分析。引用文献：Lind, D...
The SPSS compute variable window. Step 2:Give your new (target) variable name. This can be anything you like, but make sure to adhere to SPSS naming conventions for variables. Step 3:Type in your request. For example, let’s say you wanted to add two variables: ...
SPSS Statistics Example used in this guide Cholesterol has a reputation for generally being bad and being a reason for getting heart disease. However, a particular type of cholesterol called high-density lipoprotein cholesterol (HDL cholesterol, for short) is linked to good heart health. The higher...
Tip:In MAXQDA Stats variable names can be composed of any character strings up to 63 characters in length. Unlike in many statistics programs, spaces and any special characters are permitted. When working with external statistics files (.xls(x) or .sav files from SPSS, STATA, etc.). it is...
re using it. In avery general sense, the term is synonymous withmeasurement variable, although care should be taken to make sure this use is precise enough for whatever context you’re working in. For the behavioral sciences, trade and finance, and in SPSS, you’ll want to follow the ...
While we did not test the method in SPSS, our understanding is that such implementation is similar to SAS, and relatively straight forward. In R, RMANOVA is non-trivial, and we settled on a mixed model approach that is equivalent to the one presented in SAS, but with more limited ...