I. Types of questionnaires

Questionnaires are categorized into two main types: scale questionnaires and non-scale questionnaires.

The scale questionnaire is usually used more for academic research, which is characterized by more attitudinal cognitive items, reflecting the sample population's attitude towards a certain thing, such as attitudinal views attitude, etc., through the study of the relationship between the research variables, to find out the connotation of the logical relationship.

The non-scale questionnaire reflects more facts and basic attitudes towards a certain status quo, such as the reasons why the samples shop online, the reasons why they don't shop online, and the status quo of the use of online shopping platforms, etc. This kind of questionnaire is more about analyzing ideas. This kind of questionnaire lies more in the logic of analyzing ideas and the understanding and analysis of the current situation, as well as the basic attitude of the sample.

Second, the analysis method

From the analysis method, the biggest feature of the scale type questionnaire is: a very large number of scale questions, and the scale questions correspond to the 'variables' or 'dimensions'. It is easy to study the relationship situation between 'variables'. As well as allowing the use of methods such as reliability, validity and factor analysis.

The most important feature of non-scale questions is that most of them are single-choice, multiple-choice, or sorted fill-in-the-blank questions, but there are very few scale questions (a scale question is a question in which the answers are "strongly disagree", "relatively disagree", "neutral", "neutral", "neutral", "neutral", "neutral" or "neutral"). "Neutral", "Comparatively Agree", and "Strongly Agree"), but rarely scale questions (scale questions are questions with answers such as "Strongly Disagree", "Comparatively Disagree", "Neutral", "Comparatively Agree", and "Strongly Agree"). .

Three, analysis results

Questionnaire data can be analyzed using SPSS in general, the basis of the analysis is relatively weak, you can use SPSSAU analysis. SPSSAU analysis results generated by the "class of the three-line table" format, the system will automatically generate the indicators of the interpretation of the report.

SPSSAU Intelligent Analysis

Four, writing research reports

According to the order of the questionnaire analysis will be analyzed into a logical report, and in the conclusions on the basis of the corresponding meaningful and valuable recommendations and measures.

On the writing of the data report, alone from the data analysis point of view, it is recommended to start with the actual needs, such as the study of the relationship between the differences, then the first thing you need to know is whether there is a difference, and then there is a difference, the specific differences in the case of how. When there is a difference or no difference, how should the corresponding recommended measures be. According to this idea, I believe that data research report writing is not difficult.