In the study about the new therapy technique for depression, the confounds that might have impacted the findings were maturation and mortality effect. The mortality effect refers to any loss of participants from your sample. The health magazine state that out of the 50 subjects, only 29 were left after nine months. It would be difficult to determine the impact of the technique on the subjects, because the people that dropped out may have represented an important subgroup in a larger population (Jackson, 2012). Given the length of the study, the participants may have been affected by the maturation effect confounding factor (Jackson, 2012). It is possible that the changes recorded in the study represent the passage of time and not the effect
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It involves addressing the following questions such as does a relationship exist and if it does, how strong is that relationship? Correlation doesn 't 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 correlation, the data points fall to either side of a best-fit line that moves steadily downward from left to right (Summer, & Dehaney, …show more content…
Due to the random assignment of subjects it is assumed that the two groups are equivalent, and allow for comparison of results, in order to determine if there is a positive effect when one smiles. Between- subjects design is advantageous because it allows each individual score to be independent of the other scores (Son, & Lee, 2015). However, the design requires a large group of the population in order to be effective and it is also affected by individual differences such as attitude or past
It involves addressing the following questions such as does a relationship exist and if it does, how strong is that relationship? Correlation doesn 't 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 correlation, the data points fall to either side of a best-fit line that moves steadily downward from left to right (Summer, & Dehaney, …show more content…
Due to the random assignment of subjects it is assumed that the two groups are equivalent, and allow for comparison of results, in order to determine if there is a positive effect when one smiles. Between- subjects design is advantageous because it allows each individual score to be independent of the other scores (Son, & Lee, 2015). However, the design requires a large group of the population in order to be effective and it is also affected by individual differences such as attitude or past