While, the Factor Analysis is the approach that is used for data reduction in different way than principal component analysis. It is the measurement model of latent variable. This cannot be measured directly with one variable rather, it is observed through the relationship between x and y variables. 2. “Explain
No analysis is better than the assumptions on which it is based and, in the interest of ‘quality control’, assumptions should always be made explicit. So the limitation, in a sense, is that the analyst can, if he or she chooses and if readers are not alert, take advantage of the user’s interest in the outcome of the analysis to conceal doubtful or fl awed assumptions. Finally, it should be noted that, in cost-benefit analysis, a project scenario is compared with an alternative scenario based on estimates of what would have happened in the absence
4.1 Introduction An analysis is usually done with the direct purpose of not only coming to a conclusion but also supporting it and the assumption presented in the dissertation. Divided into two parts, the two main features of data analysis are the
Another disadvantage to longitudinal research is the possibility of participants dropping out of the study due to the length of the study. 4 / 6 Cross-sectional research involves looking at specific traits or characteristics of different groups. Cross-sectional research can be done quickly; all research is gathered at the same time. This type of research methodology signifies developmental differences and similarities between groups. However, determining the cause and effect of outcomes is not an easy task, as there may be confounding variables influencing the outcome.
But, a little more detail about the participants’ backgrounds would have added on as a reliable factor. Despite that, they specify why there may be a difference and how it would have been difficult for them to access such information without the use of email; conforming to specification of task. On the whole, the article managed to explain the purpose of the study and showed the results that were achieved and clarified. The topic of study is one that is relatable to people of all ages and keeps the reader engaged. The data is very well presented and clear to
The data was then analyzed with focus on detailed narratives that explore patterns of the responses from the interviews. The patterns were then used to identify specific themes that were necessary to address the research questions qualitative content analysis results in unique themes that illustrate the range of the meanings of particular texts or concepts (Vaismoradi et al., 2013). The first step in the qualitative content analysis was preparing the data. The narrative data from interviews were transformed into written text before analysis starts. When transcribing interviews, all the questions of the interviewer were
Methodology In order to analyze the distributional effects of access to basic services on household welfare, we use Benefit Incidence Analysis (BIA) method (see Demery, 2000 and Davoodi et al., 2003 for the description of the BIA method). In order to take account of the multidimensional character of the well-being and the simultaneous nature of its dimensions, we use the Structural Equations Model (SEM) with latent variables. This section describes the SEM and the data sources used. 3.1. The Structural Equations Model (SEM) Our goal here is to provide a measurement of well-being using the capability approach.
In analysing data, it is paramount to know the nature of the data to be analyzed because the credibility of the results and its interpretations are greatly influenced by the distribution assumed in the analysis. There seems to be this basic assumption that all data follow the normal distribution (that is having a continuous underlying distribution), but this is not a valid statement as there are other types of data. In modelling count data (non-negative integer values, often skewed with zero as the most common value) which doesn’t meet the normality condition, the use of the ordinary least squares regression model fails. The Poisson regression model is popularly used in modelling count data  as it shares the characteristics of count data
The open-ended questions to the participants would be of the nature of, “What have you experienced in context of distance and being friends with someone?” or “What were the factors that caused the resulted experience?”The structural and descriptive information of the experiences would ultimately provide an understanding of the common experiences of the participants. Content analysis would be the basic approach of the study.Content analysis is a method for summarizing any form of content by counting various aspects of the content. This enables a more objective evaluation than comparing content based on the impressions of a listener. The data collected will be then developed into clusters of meaning from the significant statements and then translated into themes.Other than that Diction will be used to identify the themes and the general tone of the narratives.The Diction software allows us to score various attributions of content analysis such as Insistence,Embellishment,Variety and Complexity. Broad