Foreword:
The reference textbook for this column is "SPSS22.0 From Beginner to Master". Due to the software version, part of the content has changed. In order to adapt to the changes in the software version, this column is created to facilitate everyone's learning. The software used in this column is:SPSS25.0
Please click this link to download all the data files in this column:SPSS data analysis column attachment!
Table of contents
1. Reliability analysis
Reliability analysis is a statistical analysis method used to evaluate the stability and consistency of research results or measurement tools. It is mainly used to determine the reliability and consistency of measurement results to determine whether they can be trusted.
Reliability analysis generally includes the following commonly used methods:
1. Test-retest reliability: This method evaluates the stability and consistency of the same measurement tool by repeatedly applying it in the same sample. By comparing the results obtained from two tests, the reliability of the measurement tool can be determined.
2. Internal consistency reliability: This method evaluates the consistency of the measurement tool by analyzing the correlation between various indicators within it. Common internal consistency reliability testing methods include Cronbach's alpha coefficient, Kuder-Richardson formula20, etc.
3. Split half-reliability: This method evaluates the reliability of a measurement tool by dividing it into two or more independent parts and then comparing their measurement results. Split half-reliability is commonly used to evaluate measurement tools such as questionnaires.
4. Intra-large group reliability: This method is used to evaluate the consistency of assessments by different evaluators on the same measurement tool. It is often used to evaluate objective measurement tools such as observation scales, scoring tools, etc.
5. External consistency reliability: This method is used to assess the consistency between different measurement tools. It is usually evaluated by comparing the results of different measurement tools when measuring the same concept or variable.
The results of reliability analysis can tell researchers or users of measurement tools how stable and consistent the tool is when measuring the same concept or variable, thereby affecting the interpretation of results and the reliability of conclusions.
2.SPSS implementation
(1) Open the "data14-01" data file, select "Analysis" - "Scale" - "Reliability Analysis", and the dialog box as shown in the figure will pop up.
(2) Select all the variables on the left, move them to the list box on the right, then click the drop-down menu behind "Model" and select "Gutterman".
(3) Click the "Statistics" button, the dialog box as shown in the figure will pop up, check the correlation, and then click Continue to return to the main dialog box.
(4) After completing all settings, click OK.
(5) Repeat steps 2-4 above, select alpha in step 2, re-analyze, and compare the similarities and differences between the two models.
3. Result analysis
Guttman model:
alpha model:
