Which research strategies attempt to address the same question about the relationship between variables?
Correlational research is a type of nonexperimental research in which the researcher measures two variables and assesses the statistical relationship (i.e., the correlation) between them with little or no effort to control extraneous variables.
Which type of study tends to have the highest level of internal validity?
Which research strategy attempts to address questions about cause and effect relationships but fails to produce an unambiguous answer because the study contains a flaw quizlet?
Which research strategy attempts to address questions about cause-and-effect relationships but fails to produce an unambiguous answer because the study contains a flaw? internal validity.
In which research situation below would an extraneous variable become a confounding variable group of answer choices?
An extraneous variable can become a confounding variable if it changes systematically along with the other variables being examined in a research study.
What problems do extraneous variables present in research?
Extraneous variables can threaten the internal validity of your study by providing alternative explanations for your results. In an experiment, you manipulate an independent variable to study its effects on a dependent variable.
How do you identify a confounding variable in an experiment?
What is a confounding variable?
- It must be correlated with the independent variable. This may be a causal relationship, but it does not have to be.
- It must be causally related to the dependent variable.
What is an example of a confounding variable in psychology?
Confounding variables are factors other than the independent variable that may cause a result. In your caffeine study, for example, it is possible that the students who received caffeine also had more sleep than the control group. Or, the experimental group may have spent more time overall preparing for the exam.
What is a confounding variable in biology?
A confounding variable is a variable, other than the independent variable that you’re interested in, that may affect the dependent variable. This can lead to erroneous conclusions about the relationship between the independent and dependent variables.
What are the effects of confounding variables?
Confounding variables are those that may compete with the exposure of interest (eg, treatment) in explaining the outcome of a study. The amount of association “above and beyond” that which can be explained by confounding factors provides a more appropriate estimate of the true association which is due to the exposure.
What is meant by confounding?
Confounding occurs when the experimental controls do not allow the experimenter to reasonably eliminate plausible alternative explanations for an observed relationship between independent and dependent variables. For example, gender is confounded with drug use. …
How confounding variable affect the validity of the study?
Confounding variables are common in research and can affect the outcome of your study. This is because the external influence from the confounding variable or third factor can ruin your research outcome and produce useless results by suggesting a non-existent connection between variables.
How do I control a confounding variable in SPSS?
How to Adjust for Confounding Variables Using SPSS
- Enter Data. Go to “Datasheet” in SPSS and double click on “var0001.” In the dialog box, enter the name of your first variable, for example the sex (of the defendant) and hit “OK.” Enter the data under that variable.
- Analyze the Data. Click on “Analyze” at the top of the SPSS screen.
- Read the Ouput.
Do confounding variables reduce internal validity?
Confounding variables (aka third variables) are variables that the researcher failed to control, or eliminate, damaging the internal validity of an experiment.