Causal relationship It is a relationship between two variables where a change in one variable

500 WordsApr 23, 20192 Pages
Causal relationship It is a relationship between two variables where a change in one variable causes a consequence in the other variable (Cameron and Price, 2009:xvi). Causality Finding casual connections between two or more variables rather than just forming relationships between the variables (Bryman and Bell, 2003:367). Central Tendency According to Black (2010:61), the central tendency can be defined as the tendency for values in the data set being analysed, to be gathered around the middle value of the data. In other words the tendency for the values in the data set to be collected around the median. There are three main measures of central tendency namely median, mean and mode (Black, 2010:76-78). Chi-square analysis Consists of…show more content…
Confidence limits The end values of the parameters (that includes the parameters) within the confidence interval of the population included in the research data (ASQ Statistics Division, 2005:24). Confirmability The data and findings of a researcher has been tested for its accuracy, objectivity and reliability by using several different strategies (Objakor, Bakken & Rotatori 2010:28) Construct A theory behind the research conducted. This theory must be formed without bias (Burns and Burns, 2008:430). Construct validity Construct validity involves the process of linking the theory of the research with a specific method or procedure to measure the intended data (Burns and Burns, 2008: 430). Constructionism The process of proving that the theory compiled by the researcher truly exists in real world situations by finding evidence of the existence of that specific theory or idea (Holstein and Gubrium, 2008:3-9). Constructivism Another term for Constructionism and the term is usually used in mathematics, science and technology (Holstein and Gubrium, 2008:8). Content analysis The content analysis is simply the process of labelling data to retrieve later in order to analyse and interpret further in the research process (Moule and Goodman, 2013:411). Content validity The content validity is the degree to which the measurement represents the intended content that was meant to be investigated. For example noting the names, dates, times and questions
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