The concluding paragraph of a research paper is as important as the introduction when it comes to establishing its impact. The conclusion is an author’s last chance to reaffirm whether the reader followed the study throughout.
data analysis and conclusion, research paper writingCorrelation refers to the extent of a relationship between the variables. In order to determine this relationship, it is essential to establish a correlation between the variables.
data analysis and conclusion, research data analysisIn qualitative data, grounded theory is applied for analysis. This article, explains the last two stages of grounded theory analysis, i.e. axial and selective coding.
data analysis and conclusion, qualitative analysisGrounded theory analysis in qualitative research is a type of scientific research concerned with the emerging concepts of social phenomena. It refers to situations where data collection is conducted in an unstructured way (Joubish, Khurram, Ahmed, Fatima, & Haider, 2011). The three main qualitative research methods are participant observation, in-depth interviews and focus groups (Jamshed, […]
data analysis and conclusion, qualitative analysisCorrelation is a statistical measure that helps in determining the extent of the relationship between two or more variables or factors. For example, growth in crime is positively related to growth in the sale of guns. Growth in obesity is positively correlated to growth in consumption of junk food. However, growth in environmental degradation is […]
correlation in data modelling, data analysis and conclusion, econometric tests, result interpretation, spss procedureThere different instruments to collect primary data and the most widely used is the questionnaire in a survey method. Correlation and regression tests are two of the basic statistical tools that are widely applied to analyze data.
data analysis and conclusion, Developing questionnaire, questionnaireIn continuation to my previous article, the results of multivariate analysis with more than one dependent variable have been discussed in this article.
analyse with SPSS, data analysis and conclusion, spss procedureThe normal linear regression analysis and the ANOVA test are only able to take one dependent variable at a time. So one cannot measure the true effect if there are multiple dependent variables. In such cases multivariate analysis can be used.
analyse with SPSS, data analysis and conclusion, spss procedure