types_of_variables
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| Please focus on dependent and independent variable first. You should be able to distinguish them. This is a good material to see if you understand the textbook alright. | Please focus on dependent and independent variable first. You should be able to distinguish them. This is a good material to see if you understand the textbook alright. | ||
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| ====== Dependent ====== | ====== Dependent ====== | ||
| A variable assumed to be dependent or be affected or caused by another (called the independent variable). If A is the result of the function of B, A is dependent variable. We can think A is a dependent variable because A is caused by the B('s function); A depends upon B('s function); A is affected by B('s function); A is effected by B('s function). | A variable assumed to be dependent or be affected or caused by another (called the independent variable). If A is the result of the function of B, A is dependent variable. We can think A is a dependent variable because A is caused by the B('s function); A depends upon B('s function); A is affected by B('s function); A is effected by B('s function). | ||
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| The aggressive response (hone honking response) is the dependent variable, here. But, by using two types of cars, the researcher went further. He assumed that the degree of aggressive responses are affected by the status of the source of the frustration . That is, the researcher assumes that more aggressive responses will be observed when the frustrator' | The aggressive response (hone honking response) is the dependent variable, here. But, by using two types of cars, the researcher went further. He assumed that the degree of aggressive responses are affected by the status of the source of the frustration . That is, the researcher assumes that more aggressive responses will be observed when the frustrator' | ||
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| ====== Independent ====== | ====== Independent ====== | ||
| -- An independent variable is presumed to cause or determine a dependent variable. B is an independent variable, if B causes A, B affects A, B has an impact on A, B has effects on A. In the above case, the frustration causes aggressive responses. Therefore, frustration is the independent variable. | -- An independent variable is presumed to cause or determine a dependent variable. B is an independent variable, if B causes A, B affects A, B has an impact on A, B has effects on A. In the above case, the frustration causes aggressive responses. Therefore, frustration is the independent variable. | ||
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| There is another opinion though! As mentioned, the researcher tweaked the situation by using two cars. He assumed that the status of the frustration sources will affect the aggressive responses -- if the status of the frustration source is high, less aggressive responses will occur, and vice versa. So, in this case, the independent variable is the status of frustrator. Why is that so (having two kinds of independent variables)? It has something to do with the control variable, which is explained below. | There is another opinion though! As mentioned, the researcher tweaked the situation by using two cars. He assumed that the status of the frustration sources will affect the aggressive responses -- if the status of the frustration source is high, less aggressive responses will occur, and vice versa. So, in this case, the independent variable is the status of frustrator. Why is that so (having two kinds of independent variables)? It has something to do with the control variable, which is explained below. | ||
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| ====== Control ====== | ====== Control ====== | ||
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| Another example. What if the researcher wants to choose only male subjects to see how they responded to the independent variable (Note that the researcher wanted to see only male)? In this case, the variable gender is a controlled (being held constant) variable. But, what if the researcher wanted to see the difference between male and female regardless the (high and low) status? In this case, the variable gender becomes a moderator (intervening) variable which will be explained the below. | Another example. What if the researcher wants to choose only male subjects to see how they responded to the independent variable (Note that the researcher wanted to see only male)? In this case, the variable gender is a controlled (being held constant) variable. But, what if the researcher wanted to see the difference between male and female regardless the (high and low) status? In this case, the variable gender becomes a moderator (intervening) variable which will be explained the below. | ||
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| ====== Moderator (intervening) ====== | ====== Moderator (intervening) ====== | ||
types_of_variables.1701212379.txt.gz · Last modified: 2023/11/29 07:59 by hkimscil