I haven t studied statistics, and the foundation is zero, can I learn SPSS software on my own and fi

Through software operation and practical case teaching, the commonly used statistical analysis methods of scientific research are explained, and the SPSS software operation is taught hand-in-hand. Students no longer have a headache for statistics, and can independently solve common statistical problems in clinical research.

You will gain from this course.

1.Master the core basic theories of statistics;

2.SPSS database construction and data management;

3.Descriptive analysis of data using SPSS;

4.Master the analysis and interpretation of the results of the four major tests: t-test, analysis of variance, chi-square test and non-parametric test;

5.Master the drawing and interpretation of ROC curves.

Course Catalog: The Beauty of Data Analytics.

Why study statistics and the current state of statistical misuse.

Core Concepts of Statistics.

Statistical description of metrological data.

Statistical description of the count data.

Interpretation of the core ideas of statistics.

SPSS is a data statistics and data analysis tool, which is easy to operate and is an introductory tool for data analysis.

1. Data analysis.

Before using data analysis tools, you must first understand the idea of data analysis, some people just get the data and can't wait to throw the data into the SPSS, and then find that they don't know anything, don't know what to do, and don't know how to do it. So the core is to have a data analysis mindset.

2 SPSS operation.

Once you've mastered the core mindset of data analysis, it's much simpler. To learn the use of a tool, it is mainly to rely on two words to use more, practice more to find some data to practice, and explore while operating, and you can quickly master it.

SPSSAU (SPSS) provides a variety of data cases that can be manipulated on either SPSS or SPSSAU. Students who want to save time are also recommended to use SPSSAU, which can be analyzed, the operation is more concise than SPSS, easier to get started, and the results can be generated with a drag and click and intelligent analysis suggestions.

1. The data window is also known as the data machine, which is similar to the Excel window, and the main work of SPSS processing data is carried out in this window.

It is divided into two views: the data view is used to display specific data, one row represents the observed individual (called case in SPSS), and one column represents one attribute (called variable in SPSS); The variable view is dedicated to displaying information about the variable: variable name, type, format, and so on.

2. The output window is also known as the result viewer, which is used to output the analysis results. The whole window is divided into two areas: the left is the directory area, which is a directory of SPSS analysis results; On the right is the content area, which corresponds to the content of the table of contents.

3. The grammatical window is also known as the grammar machine. The biggest advantage of SPSS is its ease of use, i.e., menu-dialog-style operation. Grammar editing is intended for advanced analysts.

4. Script window SPSS script is a program written in SAX Basic language, which can build some new custom dialog boxes. Scripts can be used to automate SPSS internal operations, customize the format of results, implement new SPSS features, and integrate SPSS with VB and VBA compatible applications.

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<>It is not difficult to study SPSS on its own, but it is difficult to understand its statistical significance.

It's all difficult to learn, only a few you want to use, and if it's important, the difficulty will be reduced.

The original full name of SPSS was "Social Science Statistical Software Package". Compared with other software, SPSS is the easiest to use and the most foolish statistical entry software. Touch-based operation, you don't need to write ** yourself, as long as you can operate it with "dots".

And SPSS is also great for handling surveys.

data, so many social science researchers will prefer to learn and use.

SPSS is relatively simple, but at the end of the day it is just a form of data analysis.

Tools are the carriers of various statistical analysis methods, and each analysis method has relatively strict application conditions, and there are many specific options involved, so how to make the banquet fit the actual research needs to select the appropriate analysis method, and according to the specific situation, the corresponding options are correctly set in the operation window, and the analysis results are correctly and completely interpreted, which is quite difficult to achieve.

Can you send me your tutorial on learning SPSS, my email is.

No matter what kind of data (including panel data), the entropy method can be carried out normally, and generally does not need to be processed. Of course, when the panel data is analyzed by the entropy method, it is also prudent to judge that different years can be screened out first, and the entropy method can be repeated multiple times.

SPSS is the general name of a series of software products and related services launched by IBM for statistical analysis operations, data mining, analysis and decision support tasks, including Windows and Mac OS X.

SPSS Features:

1. It integrates data entry, data compilation, data management, statistical analysis, report making, and graphic drawing. Theoretically, as long as the computer's hard disk and memory are large enough, SPSS can handle data files of any size, regardless of the number of variables contained in the case, and no matter how many cases the data contains.

2. The statistical function includes all the items in Educational Statistics, including the conventional concentration and difference, correlation analysis, regression analysis, analysis of variance, chi-square test, t-test and non-parametric test.

1. First of all, we open the SPSS analysis software, and after opening the software, there is a blank**, and we can also add local data and data**.

2. After opening the software, the first thing we can see is the data view, which is composed of variables one by one.

3. Next, let's look at the variable view, the variable view is to control the variables one by one, and the types of control include name, width, decimals, labels and other variable regulations.

4. In order to do data analysis, we first need to define the variables, which define the names of three variables, gender and sports performance. Name variable, each person has a different name, we can select the character data, <>

5. Then set the gender variable and the sports performance variable, the gender variable, 0 for women, 1 for men. For sports results, we choose numerical data.

6. After setting the variables, we enter a few columns of data. Each set of data includes name, gender, gender** and sports scores, and we can write nine pieces of data.

7. After setting the data, we select all the data and click on the analysis - non-parametric test - chi-square test above. Examine the relationship between gender and sports performance.

8. After inspection, the software outputs the results of chi-square inspection. According to Chi-square analysis, gender and sports performance are not independent. Gender influences athletic performance.

It is best to have case ** explanation examples for data analysis, detailed operation steps and should be simple, you can use spssau **spss one-click generation of intelligent report text and interpretation, drag and drop to complete the results, and also provide complete case description and interpretation.

SPSSAU dashboard.

SPSS is a statistical information analysis and processing software, the statistical analysis process includes descriptive statistics, mean comparison, general linear model, correlation analysis, regression analysis, loglinear model, cluster analysis, data simplification, survival analysis, time series analysis, multiple responses and other categories, each class is divided into several statistical processes, such as linear regression analysis, curve estimation, logistic regression, probit regression, weighted estimation, two-stage least squares method, Nonlinear regression and other statistical processes, each of which allows the user to choose different methods and parameters. SPSS also has a specialized plotting system that can draw a variety of graphs based on the data.

You don't need much computer knowledge to learn SPSS. The key is to have a foundation in statistics and mathematics.