Data Analysis

How do you write the discussion chapter in a research paper? This part of the research paper requires an organized structure that summarizes the salient points of the research. These salient points are the outcomes of the results part of your research. You also need to integrate your results with the work of other researchers who worked on relevant topic. …

Bias in data analysis is the most common type of research misconduct. Therefore, the researcher has the responsibility to eliminate or minimize bias in data analysis. Bias introduces when the researcher gives preference to some data outcomes over others in this way the researcher creates biased conclusions. Sometimes, the data itself is biased and it is impossible to analyze data …

Written by Saira Naeem Data triangulation in qualitative research is used as a means to make sure that the research is AffluentRobustComprehensive and Well developed What does data triangulation mean? Data triangulation is where the researcher uses two or more methods for the verification of the findings and results. Data triangulation is also called cross examination because it double or even triple checks …

Written by Saira Naeem The data which has been collected from various primary/secondary sources is RAW in nature, this means that there are likely chances of errors and inconsistencies in it. Since data collected is of pivotal importance to policy and decision makers everywhere be it governmental departments,  business organizations, health or educational institutions etc it would be better to …

The most difficult job in using interview as a data collection instrument is to present, analyze, and interpret interview data. Interview data is qualitative and qualitative data needs to be analyzed in a manner that can prove its trustworthiness. As Anderson (2010) says “Qualitative research is often criticized as biased, small scale, anecdotal, and/or lacking rigor; however, when it is …

Thematic analysis in qualitative research is the main approach to analyze the data. Research requires rigorous methods for the data analysis, this requires a methodology that can help facilitate objectivity. Rigorous thematic analysis can bring objectivity to the data analysis in qualitative research. Some researchers believe that thematic analysis is not a separate method of data analysis but rather it …

The process of selecting a sample can be made easier if you know some sampling terminologies related to sampling. Sample is  part of the population and to draw sample from the population you need to decide about the sample size. There is a formula to decide about the sample size. To find out sample size using that formula you need …

What is the difference between quantitative and qualitative research? This is an important question for every researcher, as a researcher you should know the basic difference between the two. There is a clear and well defined divide between these two types of researches that one can easily understand. In quantitative research the type of information sought, type of data, variables, …

Data analysis in research Research analysis is one of the main steps of the research process, it is by far the most important steps of the research. How to analyze the data is an important question that every researcher asks. The researcher collects the data using one of the qualitative or quantitative methods of data collection. Data analysis highly depends …