怎样利用spss比较2组数据间的差异性

以SPSS *** 作为例：

1、打开SPSS软件，在第一个变量输入数据，依次输入A组为1，B组为2。

2、选择选择上面的分析-比较均值-独立样本分析。

3、完成后出现对话框，检验变量，中第一个变量为检验变量，第二个变量为分组变量，并定义组。

4、点击之后，出现对话框，如图所示，在对话框中分别输入定义值：1、2。

5、最后，按确定并进行分析，如图所示，就可以得出最终分析结果表格，这样 *** 作即可。

当然是可以的。不知道你用的是那个版本的SPSS

在SPSS15中， *** 作步骤如下：

两个数据库（.sav文件）按照关键变量排序（关键变量必须没有重复，每个变量值能够明确的指出一个特定的Case；也可以使用一组变量作为关键变量）

两个数据库文件的变量类型和变量长度要一致！变量类型和长度可以在VARIABLES VIEW中查看和修改

然后就是菜单中选择：

Data

Merge Files

Add Variables...

之后按照你原来的 *** 作做就可以了，这样就不会出现“变量的类型或者长度不对”的错误了

具体的可以参考SPSS帮助文档

Add Variables

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Add Variables merges the active dataset with another open dataset or SPSS-format data file that contains the same cases (rows) but different variables (columns). For example, you might want to merge a data file that contains pre-test results with one that contains post-test results.

Cases must be sorted in the same order in both datasets.

If one or more key variables are used to match cases, the two datasets must be sorted by ascending order of the key variable(s).

Variable names in the second data file that duplicate variable names in the active dataset are excluded by default because Add Variables assumes that these variables contain duplicate information.

Indicate case source as variable. Indicates the source data file for each case. This variable has a value of 0 for cases from the active dataset and a value of 1 for cases from the external data file.

Excluded Variables. Variables to be excluded from the new, merged data file. By default, this list contains any variable names from the other dataset that duplicate variable names in the active dataset. Variables from the active dataset are identified with an asterisk (*). Variables from the other dataset are identified with a plus sign (+). If you want to include an excluded variable with a duplicate name in the merged file, you can rename it and add it to the list of variables to be included.

New Active Dataset. Variables to be included in the new, merged dataset. By default, all unique variable names in both datasets are included on the list.

Key Variables. If some cases in one dataset do not have matching cases in the other dataset (that is, some cases are missing in one dataset), use key variables to identify and correctly match cases from the two datasets. You can also use key variables with table lookup files.

The key variables must have the same names in both datasets.

Both datasets must be sorted by ascending order of the key variables, and the order of variables on the Key Variables list must be the same as their sort sequence.

Cases that do not match on the key variables are included in the merged file but are not merged with cases from the other file. Unmatched cases contain values for only the variables in the file from which they are takenvariables from the other file contain the system-missing value.

Non-active or active dataset is keyed table. A keyed table, or table lookup file, is a file in which data for each "case" can be applied to multiple cases in the other data file. For example, if one file contains information on individual family members (such as sex, age, education) and the other file contains overall family information (such as total income, family size, location), you can use the file of family data as a table lookup file and apply the common family data to each individual family member in the merged data file.

To Merge Files with the Same Cases but Different Variables Hide details

To Merge Files with the Same Cases but Different Variables

Open at least one of the data files that you want to merge. If you have multiple datasets open, make one of the datasets that you want to merge the active dataset.

From the menus choose:

Data

Merge Files

Add Variables...

Select the dataset or SPSS-format data file to merge with the active dataset.

To Select Key Variables

Select the variables from the external file variables (+) on the Excluded Variables list.

Select Match cases on key variables in sorted files.

Add the variables to the Key Variables list.

The key variables must exist in both the active dataset and the other dataset. Both datasets must be sorted by ascending order of the key variables, and the order of variables on the Key Variables list must be the same as their sort sequence.

如果是两组配对的定量数据研究差异性，可以用配对样本t检验。在线spssau可以使用配对t检验直接分析，得到智能文字结果。

配对t检验

SPSSAU分析结果

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