Table of Contents
- 1 Can you have multiple dependent variables?
- 2 Can you have more dependent variables than independent variables?
- 3 Can you have two dependent variables in a study?
- 4 Why should only one dependent variable only have one independent variable?
- 5 Why would a researcher have more than 2 levels of an independent variable in an experiment?
- 6 Why can’t you have more than one independent variable in an experimental design?
- 7 Is it wasteful to measure only one dependent variable?
- 8 Can you include more than one independent variable in a study?
Can you have multiple dependent variables?
No. The value of a dependent variable depends on an independent variable, so a variable cannot be both independent and dependent at the same time.
Why can you have more than one dependent variable quizlet?
to prove/disprove an issue with just the one independent variable. If you had several variables in the experiment, you would not know which variable really caused the end result.
Can you have more dependent variables than independent variables?
For example, if the data were from a randomized controlled trial, then it is certainly possible to have more dependent variables than independent variables. In this case, it would be equivalent to running multiple t-tests with a continuous DV and a binary IV (representing the treatment variable).
Can we include more than one independent or dependent variable in a study?
Can I include more than one independent or dependent variable in a study? Yes, but including more than one of either type requires multiple research questions. Each of these is a separate independent variable. To ensure the internal validity of an experiment, you should only change one independent variable at a time.
Can you have two dependent variables in a study?
It is possible to have experiments in which you have multiple variables. There may be more than one dependent variable and/or independent variable. This is especially true if you are conducting an experiment with multiple stages or sets of procedures.
Why would a researcher have more than two levels of the independent variable in an experiment?
But including multiple independent variables also allows the researcher to answer questions about whether the effect of one independent variable depends on the level of another. This is referred to as an interaction between the independent variables.
Why should only one dependent variable only have one independent variable?
Testing only one variable at a time lets you analyze the results of your experiment to see how much a single change affected the result.
What happens when you have two dependent variables?
When multiple dependent variables are different measures of the same construct—especially if they are measured on the same scale—researchers have the option of combining them into a single measure of that construct. If they have poor internal consistency, then they should be treated as separate dependent variables.
Why would a researcher have more than 2 levels of an independent variable in an experiment?
Just as including multiple dependent variables in the same experiment allows one to answer more research questions, so too does including multiple independent variables in the same experiment.
When using more than one dependent measure in a study the researcher should?
how should a researcher plan for the order effect when using multiple dependent measures? present most important measures first and else important ones last.
Why can’t you have more than one independent variable in an experimental design?
Testing only one variable at a time lets you analyze the results of your experiment to see how much a single change affected the result. If you’re testing two variables at a time, you won’t be able to tell which variable was responsible for the result.
Is it possible to have more than one dependent variable?
It is possible to have experiments in which you have multiple variables. There may be more than one dependent variable and/or independent variable. This is especially true if you are conducting an experiment with multiple stages or sets of procedures.
Is it wasteful to measure only one dependent variable?
It would seem almost wasteful to measure a single dependent variable. Even if you are primarily interested in the relationship between an independent variable and one primary dependent variable, there are usually several more questions that you can answer easily by including multiple dependent variables.
Which is an example of a dependent variable?
The dependent variable responds to the independent variable. It is called dependent because it “depends” on the independent variable. In a scientific experiment, you cannot have a dependent variable without an independent variable. Example: You are interested in how stress affects heart rate in humans.
Can you include more than one independent variable in a study?
Can I include more than one independent or dependent variable in a study? Yes, but including more than one of either type requires multiple research questions. For example, if you are interested in the effect of a diet on health, you can use multiple measures of health: blood sugar, blood pressure, weight, pulse, and many more.