Variable

Research design explains the process of the variables to the research question. The question is does electoral system have an effect on voter turnout? The research will be looking at members of OCED pre-2010. OCED offers a structure for governments to consult and co-operate with each other in order to develop and refine economic and social policy. The first part of the question is why were these thirty countries chosen and not the other countries; who became part of OCED after 2010. The…

Chapter Ten Analyzing and Reporting Qualitative Research Qualitative data analysis has it is own nature which is different than the quantitative data. Qualitative and quantitative data are different in the process of both the analysis and interpretation. Mostly qualitative data is textual the goal of which is to deeply understand the relationships rather than just explaining. Qualitative data analysis is iterative and involves member checking asking experienced informants to assure the…

of a variable to see if corresponding changes in behavior result, allowing the determination of cause and effect relationships”. To put this term in simple terms, we use experiments to purposely make changes in a study to get accurate results. In the hypothesis talking on a cell phone impairs driving skill it is highly important to follow the crucial protocol to make an efficient experiment. In an experiment there are two variables: the independent variable (cause) and the dependent variable…

through questionnaire, the data will analyzed by using Statistical Software (SPSS) to ensure the relevant issues was examined in a comprehensive manner. Statistical tools and methods used where appropriate for analyzing the relationship among the variables and the model. 3.8.1) Descriptive statistics analysis The data that had collected will analyze based on the descriptive statistics analysis. According to You, Chen and Liu (2014), descriptive analysis technique is used to collect actual…

They are records of measurement, counts or observations. Examples of data are body weights of calves [3]. There are four types of data: nominal, ordinal, interval and ratio. Qualitative variables are measured with nominal and ordinal, while quantitative variables are measured with interval and ratio scale of measurement [5].The type of data is an important factor in determining which computations are suitable. Descriptive statistics Data collected and organized by the experimenters…

specifically look for causes and effects (Kovera,2010). It focuses only on whether there is a correlation between the x factors, y factors, and how strong that relationship is to the y variable output in your business process (Kovera,2010). In a scatter diagram that indicates a positive correlation of x and y variables, the data points fall to either side of a best-fit line that rises steadily from left to right (Summer, & Dehaney, 1943). In a scatter diagram that indicates a negative…

Question Three Descriptive data The following is a discussion of the descriptive data for the variables systolic blood pressure , diastiloc blood pressure, gender and nationtonal insitute of health hypertension category used to decribe the sample. Within this sample of 50 particpants, the average systolic blood pressure obtained was 135.88. This average takes into consideration all scores obtained within this sample population (Loiselle et al., 2011). If the scores were rearrange from the…

important that you keep two variables constant (such as light level and color) while you are testing how a third variable (CO2 level) affects photosynthesis? It is important that you keep the two variables that you are not testing constant while testing the other variable to isolate the variable you are testing. This will show you how much the variable that you are testing affects photosynthesis. It will show you this because since you are keeping the other variables constant, then you can…

how limited or scarce resources are used so as to give us the maximum profit, limited resources like labour, machines, money etc. Structure of Linear Programming Model: Generally, a Linear programming method has three necessary components: 1- The variables and their relationship 2- The Objective function 3- The…

would be used in our research because the dependent variable is a categorical variable which is define at two levels (vaccination behaviors). The Logistic Regression model is defined as a statistical analysis that used to measure the risk or odds of an event between the categorical dependent variable (vaccination behaviors in children of age 6 years or less) and one or more independent variables after controlling for number of confounding variables. For logistic regression model there are some…