There are various methods for conducting data analysis, including manual calculation, mental calculation, abacus calculation, digital software assistance, and so on. These methods are all created to help us enhance the efficiency of data analysis. Different statistical methods have their respective application scenarios. Next, I will introduce to you several frequently used data analysis methods in statistics using SPSS.

1. The first method is sample test analysis. We will select some variables and analyze their mean values, then compare the analysis results with the mean value of the overall data. Using this method, we can observe the magnitude of fluctuation between a single set of data and the overall data.

Figure 1: Sample inspection and analysis method

2. The second method is linear analysis. Using this tool, we can conduct a spot check on the raw data that is about to be analyzed to determine whether the data conforms to basic linear regression patterns. Most analysis models in SPSS require the use of linear analysis to be executed.

Figure 2: Linear Analysis Method

3. The third method is regression analysis, encompassing multiple regression, binary regression, probability regression, etc. The primary difference among these regression methods lies in the selection of variables. However, their ultimate goal is to examine the relationship between variables and the dependent variable.

Figure 3: Regression Analysis Method

4. The fourth method is graphical analysis. We can input different variables into a graphical table and visualize them in the form of a table, which makes it easier for us to observe the overall fluctuation and future trend of the data.

Figure 4: Graphical Analysis Method

What are the main types of SPSS files?

In addition to possessing various statistical analysis models, SPSS also boasts strong compatibility, capable of recognizing the vast majority of data files available in the market.

1. After analyzing a certain set of data using SPSS, if we want to export it, we can click on the "File" tab on the top left and use the "Export" command. We can see that options include "Excel File", "CSV Data", "SAS File", and so on, which are all common data formats in the field of statistics.

Figure 5: Exporting Data

2. After entering the Save As setting interface, we can directly select the default file format of SPSS, which is the SAV file. After setting, click the [Variable] button on the right side.

Figure 6: Save As Settings

3. In the variable setting window, we can select the variables we want to export. After checking the corresponding variables, we can click the [Continue] and [Save] commands in sequence to export the analyzed data.

Figure 7: Selecting Variables

4. Of course, besides the default SAV file format of SPSS, we can also save the data as [sys, dat, csv] and common [Excel] files. The specific file format can be flexibly chosen based on subsequent processing needs.。

Figure 8: Other data types