It examines phenomenon through the numerical representation of observations and statistical analysis. Quantitative research could also be about asking people for their opinions in a structured way in other to have hard facts and statistics to guide 3. RESEARCH PROCESS Research: is a method of describing, exploring, relating or establishing the fact of an existing concept, factors affecting the phenomena and the relationship among them. Process: collection of the activities carried out in the research is referred to as the process. Research process is an orderly and systematic process that requires more art than science through thought and patience.
In this paper the statistical model used is analysis of variance (ANOVA). Analysis of Variance (ANOVA) is a commonly statistical method that are often used in order to analyze the result of the model related to real world system. According to Burke (2001), Analysis of variance ( ANOVA) is used to compare and analyze
Look at the Udemy course Descriptive Statistics in SPSS, which shows you how to do this type of examination with PC programming. The Two Types of Descriptive Statistics There are two sorts of descriptive statistics that individuals tend to utilize when they 're investigating their information. The primary sort is the Measures of Central Tendency. This sort of statistics portrays the focal position for a recurrence appropriation with regards to a particular gathering of information. The way that you can portray this type of statistics is through finding the mean, middle, and method of the information that you 've gathered.
Additionally, both quantitative and qualitative researchers use techniques to verify their data. Quantitative investigators incorporate numerous control procedures and random sampling techniques to maximize internal and external validity. Respectively, qualitative researchers use an array of methods for assessing the auditability or credibility of qualitative research (Tuli 2010; Lincoln & Guba 1985). Lastly, Onwuegbuzie and Leech (2005) also note how both type of inquirers attempt to explain complex relationships that exist in the social science
Branches Predective analytics is one of the types of Data Analytics. The other analytics are descriptive and prescriptive analytics. The two main branches of statistics are descriptive statistics and inferential statistics. Key differences: • Predective Analytics is used to make predictions about unknown future events. Whereas statistics is the science and it’s mainly used in ‘Research’.
Research approach can be categorized into quantitative and qualitative research (Yates, 2004; Creswell, 2009). For this study, both quantitative and qualitative approaches were adopted. The adoption of each of the approaches in any research process come along with their limitations; therefore biases inherent in any of the methods could nullify or neutralize the biases of other methods (Hurmerinta – Peltomaki & Nummela, 2006). Usually, quantitative research conducts a deductive approach to the relationship between theory and research which focus on testing of theory (Bryman & Bell, 2011; Yin, 2008). Conversely, qualitative research emphasizes the words rather than quantification with data.
Quantitative research is a method to quantify data with a combination of deductive logic and empirical observations to define and identify what factors or variables in the population that influence an outcome. The data is collected by using structured data collection instruments such as content analysis, discourse analysis, questionnaires and surveys to produce a narrow-angle lens which is able to eliminate biasness. Quantitative research is an important research approach to test the hypotheses and statistical analysis is developed to support the hypotheses. (Park, 2012) It is often designs in closed-ended questions to gather and interpret the data from a large sample which will be the representative of the whole population. Qualitative research
2.1.3 Mixed Methodology Scaled survey items and reflective journals were the two interpretive and participatory sources utilized to provide contextual understanding of the impact of service learning for this study. These data sources were analyzed in both qualitative and quantitative fashion, resulting in a mixed methodology. Triangulation is employed as a means of veri¬fication in order to increase the credibility and de¬pendability of the results. In this study, the use of both quantitative and qualitative data sources allows for triangulation of results by different methods of measurement and between different sources of data. Table 2 outlines methods of measurement used for each research question under study.
This study relied on the questionnaire as another key method of data collection, because it identifies and captures questions about a subject. For this particular study, the survey consisted of both closed ended and open-ended questions. Unlike the IDIs where the researcher wanted have insights , in the survey , there were more closed ended questions to ensure only the needed information was provided. Open-ended questions served as a way of clarifying points and perceptions that were not clear enough in other studies or for the researcher. Overall, the survey questions served as a guide and to give the researcher information that will