Is spss difficult?

SPSS (Statistical Product and Service Solutions), "Statistical Product and Service Solutions" software.

Initially the full name of the software was "Solutions Statistical Package for the Social Sciences" (Solutions Statistical Package for the Social Sciences), but with the expansion of SPSS product service areas and the increase in service depth, SPSS Company has officially changed its full English name to "Statistical Products and Service Solutions" in 2000, which marks that SPSS is making a major adjustment in its strategic direction. SPSS is the general name for a series of software products and related services launched by IBM for statistical analysis operations, data mining, predictive analysis and decision support tasks. It is available in Windows and Mac OS X versions. (Recommended learning: PHP video tutorial)

In 1984, SPSS headquarters first launched the world's first statistical analysis software microcomputer version SPSS/PC, creating a development direction for SPSS microcomputer series products. , greatly expanding its application scope and enabling it to be quickly applied to various fields of natural science, technical science, and social science. Many influential newspapers and magazines in the world have given high praise to SPSS for its automatic statistical drawing, in-depth analysis of data, ease of use, and complete functions.

In fact, most professional courses in statistics involve mathematics and computer knowledge. SPSS is the most basic software for processing data in statistics, and it can be regarded as an introduction. But because it was the first time they came into contact with this kind of course, most students collapsed because it was too difficult.

What is the difficulty of SPSS? Let us talk about it systematically today. The first is data entry, because all operations in SPSS are based on data processing and analysis, and data entry is considered a preliminary preparation work. How difficult do you think it is to record data? You are too naive. Data entry in SPSS is not just about entering all the data into a table. It also requires defining the data, setting categories, and characters. If there is any error in any link, everything will happen. As a result, the entire later analysis results are incorrect.

After finally recording the data, we entered the more difficult analysis stage. There are many methods of statistical analysis, such as single-factor analysis of variance, multi-factor analysis of variance, single-sample T-test, multi-sample T-test, etc. Each analysis method operates differently, and each results in a large number of tables. The end of the analysis is to organize and summarize the tables. You must be able to understand the meaning of each letter and number in each table, and know whether the results of the F test and P value are significant.

In fact, when you first come into contact with it, you will find it difficult to adapt to it. Once you gradually become familiar with it and have an overall statistical thinking, even the more difficult statistical software such as STATA and Eviews will be easier to learn. It will be much easier.

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