Typically noted as ‘Conclusion and Recommendations for the study’ in thesis reports, the section dedicated to recommendations for the study is brief and direct. In many thesis reports it is also presented as a standalone section.
data analysis and conclusion, how to write, thesis writingThis article explains how to interpret the results derived from the MANOVA test and overcome the major issues witnessed while performing it.
analyse with SPSS, anova and manova, data analysis and conclusion, empirical analysis with econometrics, spss procedureThis article explores the concept of multivariate regression analysis along with discussing its assumptions and relevance.
correlation, data analysis and conclusion, empirical analysis with econometrics, regression analysis, regression with stataThe 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 writingIn 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.
correlation, data analysis and conclusion, data testing with spss, empirical analysis with econometrics, result interpretation, spss intermediate, spss procedureIt measures the correlations between two or more numeric variables. There are two types of correlations; bivariate and partial correlations. While Bivariate Correlations are computed using Pearson/Spearman Correlation Coefficient wherein it gives the measure of correlations between variables or rank orders.
analyse with SPSS, data analysis and conclusion, spss intermediate, spss procedure