Most often, in experimental research, when a researcher wants to compare groups in a more natural way, the approach used is causal design. On the other hand, in a non-experimental setting, if a researcher wants to identify consequences or causes of differences between groups of individuals, then typically causal-comparative design is deployed. Show Causal-comparative, also known as ex post facto (after the fact) research design, is an approach that attempts to figure out a causative relationship between an independent variable & a dependent variable. It must be noted that the relationship between the independent variable and dependent variable is a suggested relationship and not proven as the researcher do not have complete control over the independent variable. This method seeks to build causal relationships between events and circumstances. Simply said, it determines to find out the reasons/causes of specific occurrences or non-occurrences. Based on Mill’s canon of agreement and disagreement, causal-comparative research involves comparison in contrast to correlation studies which looks at relationships. For example, you may wish to compare the body composition of individuals who are trained with exercise machines versus individuals trained only free weights. Here you will not be manipulating any variables, but only investigating the impact of exercise machines and free weights on body composition. However, since factors such as training programs, diet, aerobic conditioning affects the body composition, causal-comparative research will be assessed scrupulously to determine how the other factors were controlled. This research design is further segregated into:
How to conduct causal-comparative research? The basic outline for performing this type of research is similar to other researches. The steps involved in this process are:
Flow chart So, when should one consider using this research design? Typically, causal-comparative research design can be considered as an alternative to experimental design due to its feasibility, cost-affordability and easy to perform the research. However, in causal-comparative design, the independent variables cannot be manipulated, unlike experimental research. For example, if you want to investigate if ethnicity affects self-esteem, you cannot manipulate the self-esteem of the participants’. The independent variable here is already selected, and hence, some other method needs to be utilised to determine the cause. Threats to the internal validity of the research In this type of research, since the participants are not randomly selected and placed in the groups, there is a threat to internal validity. Another threat to internal validity is its inability to manipulate the independent variable. In order to counter the threats and strengthen the research, impose selection strategies of matching utilising ANCOVA or homogeneous subgroups. Causal-comparative design includes basic features such as:
Although this approach gives an opportunity to analyse data on the basis of your personal opinion and come out with the best conclusion, while predicting the relationship, you might fall to post hoc fallacy. Therefore, pay extra attention while predicting the relationship and then arrive at a conclusion.
Within the field of research, there are multiple methodologies and ways to find answers to your needs, in this article we will address everything you need to know about Causal Comparative Research, a methodology with many advantages and applications. What Is Causal Comparative Research?Causal-comparative research is a methodology used to identify cause-effect relationships between independent and dependent variables. Researchers can study cause and effect in retrospect. This can help determine the consequences or causes of differences already existing among or between different groups of people. When you think of Casual Comparative Research, it will almost always consist of the following:
Types of Casual Comparative ResearchCasual Comparative Research is broken down into two types:
Retrospective Comparative Research: Involves investigating a particular question…. after the effects have occurred. As an attempt to see if a specific variable does influence another variable. Prospective Comparative Research: This type of Casual Comparative Research is characterized by being initiated by the researcher and starting with the causes and determined to analyze the effects of a given condition. This type of investigation is much less common than the Retrospective type of investigation. Causal Comparative Research vs Correlation ResearchThe universal rule of statistics… correlation is NOT causation! Casual Comparative Research does not rely on relationships. Instead, they’re comparing two groups to find out whether the independent variable affected the outcome of the dependent variable When running a Causal Comparative Research, none of the variables can be influenced, and a cause-effect relationship has to be established with a persuasive, logical argument; otherwise, it’s a correlation. Another significant difference between both methodologies is their analysis of the data collected. In the case of Causal Comparative Research, the results are usually analyzed using cross-break tables and comparing the averages obtained. At the same time, in Causal Comparative Research, Correlation Analysis typically uses scatter charts and correlation coefficients. Advantages and Disadvantages of Causal Comparative ResearchLike any research methodology, causal comparative research has a specific use and limitations to consider when considering them in your next project. Below we list some of the main advantages and disadvantages. Advantages
Disadvantages
Finally, it is important to remember that the results of this type of causal research should be interpreted with caution since a common mistake is to think that although there is a relationship between the two variables analyzed, this does not necessarily guarantee that the variable influences or is the main factor to influence in the second variable. QuestionPro can be your ally in your next Causal Comparative ResearchQuestionPro is one of the platforms most used by the world’s leading research agencies, thanks to its diverse functions and versatility when collecting and analyzing data. With QuestionPro you will not only be able to collect the necessary data to carry out your causal comparative research, you will also have access to a series of advanced reports and analyses to obtain valuable insights for your research project. We invite you to learn more about our Research Suite, schedule a free demo of our main features today, and clarify all your doubts about our solutions. Author: John Oppenhimer |