May 14, 2019
On Saturday, 11th May 2019, the DoctorateHub provided an introduction to the principles and application of quantitative research to a receptive group of doctoral students and post-doctoral participants.
We were taken through the quantitative research method, where the research aims to determine the relationship between an independent variable/s and dependent or an outcome variable in a population. Quantitative research is often used for a descriptive or explanatory or a combination of in the research design and seeks to test theories or hypothesis, although it could also generate theories, addressing the basic principle of realworld = model + error
Practical examples were provided, referencing quantitative and mixed-method articles. We were guided through the use of Excel’s statistical analysis capabilities and the SPSS package in undertaking data analysis. Data analysis examples ranged from simple, such undertaking descriptive statistical analysis and extended to more complex analysis such as using structural equation modelling (SEM). Examples of these included: mode, median, mean, range, interquartile range, standard deviation, and z-scores.
We moved on to discuss the use of hypotheses, then liner and multiple regression, dissecting the multiple regression equation used to better understand the beta values and their influence. This was followed by the straightforward assumptions of variable type, non-zero variance, linearity and independence. Then onto the more tricky assumptions of no mulutcollinearity, homoscendasticity, independent errors and normally-distributed errors.
Exploring the analysis of the variance, the ANOVA, we looked at the F-test and how it tells us whether using the regression model is significantly better at predicting values of the outcome than using the mean. Discussion moved on to the experimental design to ensure enough control variables are used to draw cause-and-effect conclusions in the research; then onto discussing the cross-section design that is common in social sciences and market research, and rounding out with the conceptual diagram.
Overall, the participants, found the webinar practicality of great interest and assistance in understanding the nuances of quantitative study; with the DoctorateHub offering assistance availability in the design and analysis of those undertaking quantitative studies.
Following is a sample of the slides from the webinar. The full slide set is available here.