I'd be careful to speak of a mixed-methods approach of data gathering since you only rely on one questionnaire. However, according to my opinion you could very well speak of a mixed methods approach of data evaluation if you analyze the open ended questions in detail and check the thereby established categories against the results from your quantitative items.

Considering 'Mixed Method' relates to the process of employing both qualitative and quantitative approaches to 'Data collection', in my opinion you could use this term in describing what you have. Other than that, I agree with Annika in terms of reference to 'Data evaluation'.

Can mix method approach be applied to a semi structured questionnaire?

Think how a single questionnaire consists of both closed & open ended questionnaire or deploy closed questionnaire then open questionnaire or vice-versa depends on your mixed method research problem, research objective(s) & research question(s).  Reason being there are different types of mixed method research designs for different purposes e.g.:

Most researchers in the field of mixed methods would have no problem accepting a study that collected both qualitative and quantitative data within the same survey. The key issue would be how you integrated the two sources of data, and Han Ping Fung gives you good advice in this regard.

Dear Abdullah

In my opinion, the answer is no. Mixed method studies are characterized by the integration of qualitative and quantitative perspectives in a synergistic way. Integration can be driven by sequential or simultaneous strategies. In your case you only have in yor questionnaire two question formats. Because of the number of participants that typically include survey methods, open-ended questions are best grouped into categories and then expressed in quantitative results.

Greetings and good luck-

To give an example of how this could indeed function as a mixed methods study, consider a sequential explanatory design of the form QUANT --> qual. In that case, you would establish a set of quantitative results, and then pursue them further using the qualitative data. This study would certainly work for that design.

It seems that you want to collect data in the quantitative and qualitative format, but you want to analysis data and report it in the format of qualitative. In this case, it could not be mixed method design. For example, you ask participants to write the barriers of clinical education and they say some factors, alongside you use the specific questionnaire on clinical education. Then you report it in the quantitative format. this is not the mixed method design. In the mixed method, you collect and analysis data using a qualitative design such as phenomenology, content analysis, grounded theory, etc.

Semi structured questionnaire is a tool for gathering qualitative data. It can be used in the conduct of mixed research. Mixed research is the combination of qualitative and quantitative research methods.

I agree with David L Morgan in saying that the key issue in the conduct of mixed method is the integration of the two sources of data

I use close ended questionnaire and three structured interview as a mix method. In data analysis i have shown the quest survey results and the interview data presented in the recomendations . is it correct way to do the mix method..........

Jude Don, one of the primary issues in mixed methods research is how you will integrate the two sets of results. Simply having qualitative and quantitative data is only the first step in doing a meaningful mixed methods study.

Colleagues, i am currently working on my PHD, I am also having a similar challenge. I would like to do mixed method by using two data gathering instruments.

Firstly, I would like to analyse secondary data using econometric models, thereafter, i use a questionnaire with both open and closed ended questionnaire. However, I will use quantitative approach to analyse data from the questionnaire.

Is this possible?

Analyzing and comparing two types of quantitative results would usually be termed "multiple methods" rather than "mixed methods." But if you were to use your open-ended questions as qualitative data, that would match the typical definition of mixed methods. For example, you could use what is known a "sequential explanatory" design (QUANT --> qual), where your qualitative data help you understand the results from your quantitative analyses.