Respuesta :
Answer:
Example 1:
Independent variable = The brand of fertilizer
Dependent variable = The height of the chimney bellflower measured (in cm or m) using a ruler or metre stick or measuring tape etc
Control variable = The type of flower used i.e., chimney bellflower
Example 2:
Independent variable = The percentage/concentration of vinegar
Dependent variable = The (change in) mass of the limestone chips measured (in g or kg) using a scale
Control variable = The initial mass of the limestone chips
Example 3:
Independent variable = The temperature of the seawater
Dependent variable = The quantity of algae in a specific ocean site
Control variable = The ocean site and the starting amount of algae in it
Explanation:
The independent variable is the variable in an experiment that it changed e.g., in example 1 the test was about which brand of fertilizer would produce the tallest bellflowers. Therefore, to test this, you would have to experiment with different brands of fertilizers thus constantly changing it in the experiment.
The dependent variable is the variable in an experiment that is measured e.g., in experiment 2 the test was about if the mass of the limestone chips would change with different concentrations of vinegar. Therefore, to test this, you would have to measure if there was a change in the mass of the limestone chips thus making it the dependent variable
The control variable is the variable in an experiment that you keep the same e.g., in experiment 1, in order to test which brand of fertilizer produced the tallest bellflowers, you would have to keep the type of flower the same (i.e. chimney bellflowers) because that is the flower you are experimenting. It would not make sense to use a different flower since that could produce different, incorrect data
Variables are an important part of an eye tracking experiment. A variable is anything that can change or be changed. In other words, it is any factor that can be manipulated, controlled for, or measured in an experiment.
Experiments contain different types of variables. We will present you with some of the main types of experimental variables, their definitions and give you examples containing all variable types.
Types of experimental variables:
Independent variables (IV): These are the factors or conditions that you manipulate in an experiment. Your hypothesis is that this variable causes a direct effect on the dependent variable.
Dependent variables (DV): These are the factor that you observe or measure. As you vary your independent variable you watch what happens to your dependent variable.
Figure 1. Shows the relationship between the independent and dependent variable.
Extraneous variable: An extraneous varable is any extra factor that may influence the outcome of an experiment, even though it is not the focus of the experiment. Ideally, these variables won’t affect the conclusions drawn from the results as a careful experimental design should equally spread influence across your test conditions and stimuli. Nevertheless, extraneous variables should always be considered and controlled when possible as they may introduce unwanted variation in your data. In this case, you need to tweak your design and procedure to be able to keep the variation constant or find a strategy to monitor its influence (constant or controlled variables). All experiments have extraneous variables. Here are some examples of different types of extraneous variables:
aspects of the environment where the data collection will take place, e.g., room temperature, background noise level, light levels;
differences in participant characteristics (participant variables); and
test operator, or experimenter behavior during the test, i.e., their instructions to the test participants are not consistent or they give unintentional clues of the goal of the experiment to the participants.
Experiments contain different types of variables. We will present you with some of the main types of experimental variables, their definitions and give you examples containing all variable types.
Types of experimental variables:
Independent variables (IV): These are the factors or conditions that you manipulate in an experiment. Your hypothesis is that this variable causes a direct effect on the dependent variable.
Dependent variables (DV): These are the factor that you observe or measure. As you vary your independent variable you watch what happens to your dependent variable.
Figure 1. Shows the relationship between the independent and dependent variable.
Extraneous variable: An extraneous varable is any extra factor that may influence the outcome of an experiment, even though it is not the focus of the experiment. Ideally, these variables won’t affect the conclusions drawn from the results as a careful experimental design should equally spread influence across your test conditions and stimuli. Nevertheless, extraneous variables should always be considered and controlled when possible as they may introduce unwanted variation in your data. In this case, you need to tweak your design and procedure to be able to keep the variation constant or find a strategy to monitor its influence (constant or controlled variables). All experiments have extraneous variables. Here are some examples of different types of extraneous variables:
aspects of the environment where the data collection will take place, e.g., room temperature, background noise level, light levels;
differences in participant characteristics (participant variables); and
test operator, or experimenter behavior during the test, i.e., their instructions to the test participants are not consistent or they give unintentional clues of the goal of the experiment to the participants.
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