feremid.blogg.se

In this research the application that used is social and online media monitoring at PT. Human becomes dependent on variety of applications, ranging from small scale application for entertaining user to large scale web application for one or multiple businesses work. Keywords: algorithm, data analysis, ethics, quantitative data, qualitative data, statistics.Along with the rapid growing world of technology nowadays, application becomes an important requirement for every human in person. The paper provides Brief information on the use of computer technology in form of online services and computer software for data analysis. These are organizing the data, finding and organizing ideas and concepts, building overarching themes in the data, ensuring reliability and validity in the data analysis and in the findings, finding possible and plausible explanations for findings and the final steps.

Under qualitative data analysis, the paper provided a six-stage general procedure for analyzing qualitative data.

It covers certain foundational concepts germane to the field of numerical analysis including scales of data, parametric and non-parametric data, descriptive and inferential statistics, kinds of variables, hypotheses, one-tailed and two-tailed tests, and statistical significance. Under quantitative data analysis it provides basic information to understand the logic behind the main statistical tools and appreciate how and when to use them in actual research situations. Analyses of quantitative and qualitative data are treated separately. These issues are the role of research questions in analyzing data, developing data analysis algorithm, ethics of data analysis.

The paper treats some crosscutting issues in the analysis of data from social research. Using simple terms, as much as possible, it briefly traces the epistemological roots of the qualitative and quantitative data to subjectivism and positivism respectively.

Considering its primary audience-project students at the undergraduate level-the paper covers the basics approaches to analyzing data from social research. Data analysis is a critical stage in social research.