What is an example of a causal-comparative research question?
In causal-comparative research, the researcher investigates the effect of an independent variable on a dependent variable by comparing two or more groups of individuals. For example, an educational researcher may want to determine whether a computer-based ACT program has a positive effect on ACT test scores.
What is a causal-comparative design?
A causal-comparative design is a research design that seeks to find relationships between independent and dependent variables after an action or event has already occurred.
What is the difference of causal-comparative and comparative?
“An important difference between causal-comparative and correlational research is that causal-comparative studies involve two or more groups and one independent variable, while correlational studies involve two or more variables and one group.” (Gay & Airasian, 2000, 364).
What is causal-comparative research Brainly?
Answer: In causal-comparative research, the researcher investigates the effect of an independent variable on a dependent variable by comparing two or more groups of individuals. Causal-comparative research attempts to identify a cause-effect relationship between two or more groups.
Why is causal-comparative?
A causal-comparative design is a research design that seeks to find relationships between independent and dependent variables after an action or event has already occurred. It seeks to establish a cause-effect relationship between two or more variables.
What is the goal of correlational research?
The goal of correlational research is to describe the relationship between variables and to measure the strength of the relationship. A correlation describes three characteristics of a relationship.
What is correlational research one advantage and disadvantage?
It allows researchers to determine the strength and direction of a relationship so that later studies can narrow the findings down and, if possible, determine causation experimentally. Correlation research only uncovers a relationship; it cannot provide a conclusive reason for why there’s a relationship.
What increases external validity?
How can we improve external validity? One way, based on the sampling model, suggests that you do a good job of drawing a sample from a population. That is, your external validity (ability to generalize) will be stronger the more you replicate your study.
What are the types of external validity?
What are the two types of external validity? The two types of external validity are population validity (whether you can generalize to other groups of people) and ecological validity (whether you can generalize to other situations and settings).
What are the three types of external validity?
External validity refers to the extent to which the conclusions from your research study can be generalized to the people outside of your study. There are three types of generalization: population, environmental, and temporal.
What is a prerequisite for a study to have external validity?
In order to have a high external validity, a study must be able to be replicated by other researchers. In addition, a researcher must know that their independent variable and no other variables are causing the changes in their dependent variable, which is known as internal validity.