issues of validity and reliability in quantitative research

Quantitative analysis type research are more evaluate the effect of development and also created strong response from the other sectors. In concomitant data both data are collected at a time, where as in sequential approach variables and attributes data collection follow one another. In mixed method study engage data collection or analysis of both numerical and / or qualitative data can be used in at a time in the study for this data are collected concomitantly or serially based on the objective. To design mixed methods, researcher must know the clear cut of their objects, carefully design each dimension of the study and more particular about the validity of the study. Primary data gets through direct questionnaire or interview methods where as secondary data gets from different sources like companies, survey agencies, local bodies or agencies, non- government and government organizations. This information can be collected through primary or secondary data.

For any research information is the main content to get the accurate results. Mixed method approach is fundamentally difficult task it requires professional in that area. When the research is extended from cost to other qualitative components then it will be difficult to analyze the facts and hence, results may not be accurate and exact. Mixed methods conveys more informative and effective. Most of the researchers thinking that qualitative methodology and quantitative research methodology are argued in different manner. The research data can be get in four ways 1. Therefore the study or research becomes more reliable. By using the this mixed methodology we can draw a valid conclusions based on the quantitative and qualitative data analysis. The key concepts in this mixed methodology research is simultaneously study about the measurable units (quantitative) and attributes (qualitative) variables. In recent trends mixed methodology research is carried out on qualitative and quantitative accepts by collecting data, analyzing, interpreting and inferences.

Issues of validity and reliability in quantitative research