How to use SPSS for reliability testing

<>2. Double-click the "SPSS" shortcut, and first set the variable nature under "Variable View".

3. Then enter the data information under the "Data View".

4. Then click "Analysis", "Metrics", "Reliability Analysis" <> in the menu bar

5. Add the variable to "Project" and click "Statistics".

6. Set it in "Statistics", click "Continue", and then confirm.

In the SPSS menu, click Analysis - Metrics - Reliability Analysis. Then select the questionnaire items to be analyzed for reliability in the box on the right, and then confirm, the default is Cronbach alpha coefficient analysis, if the alpha coefficient is not lower than, the reliability can usually be considered acceptable. The commonly used reliability index also has half-split reliability, which can also be carried out in the reliability analysis, and the default alpha coefficient can be replaced by half-and-half.

Another commonly used reliability indicator is test-retest reliability, which usually requires you to use the same questionnaire to test the same group of people successively, and after recovering the data, the average score or total score of the test on both sides of the test will be correlated and analyzed, and the correlation analysis is to click Analyze - Correlation - Bivariate in the SPSS menu. Then the mean or total score of the two columns is sorted in, and then OK, if this correlation coefficient is not lower than, it indicates that the test-retest reliability is still good.

The method of testing the reliability and validity of test papers with SPSS is as follows:

1. Import data file: Click the "Open Data Document" button in the toolbar to import the questionnaire that needs to be tested for rock destroying data. Subsequently, click on the "Analytics" tab in the menu bar.

2. Dimensionality Reduction - Factor: In the drop-down list of the "Analysis" tab, click the "Dimensionality Reduction - Factor" command in turn.

3. Enter the setting interface of factor analysis, and import all the "mathematical variables" in the document into the variable option box on the right.

4. Click to enter the "Factor Analysis: Description" interface, and you can set the relevant options of "Statistics" and "Correlation Matrix". Once the check box is complete, click "Continue" at the bottom.

Then click the "OK" button at the bottom of the "Factor Analysis" interface to start the test.

spss：

Statistical Products & Services Solutions" software. Initially, the full name of the software was "Social Science Statistical Software Package", but with the expansion of SPSS products and services and the increase of service depth, SPSS has officially changed the full name of English to "Statistical Products and Services Solutions" in 2000, which marks a major adjustment in the strategic direction of SPSS.

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. Many influential newspapers and magazines in the world have given high praise to SPSS in terms of automatic statistical drawing, in-depth analysis of data, ease of use, and complete functions.

Reasons for low reliability:1. If the reliability coefficient value is less than 0, check if there is a reverse question.

If so, the data needs to be normalized before the processed data can be used for reliability analysis.

The specific processing method is in data processing - Qingsheng - data standardization.

2. The overall reliability coefficient value is between three reasons.

Using the wrong method, the reliability analysis is only for the scale questions, but the non-scale questions are put into the analysis;

The quality of the questionnaire design is too bad, and the scale questions are designed arbitrarily without any reference at all;

If the sample size is small (e.g., less than 50) and one dimension only corresponds to 2 items, the reliability coefficient value of the sample size will be relatively low.

and 'Cronbach's coefficient after removing the width difference fiber term', it is prudent to delete the bad term first, and then repeat the cycle until the reliability coefficient is acceptable.

Ways to improve reliability:Method 1: Increase the length of the scale by adding homogeneous items appropriately.

Method 2: Set the difficulty of the questionnaire questions to be moderate.

Method 3: Sufficient time for the quiz.