Comparing and Contrasting Experimental and Correlational Research Designs
The two research methods are both quantitative research methods. Experimental research designs are mainly used to investigate causal relationships and studying relationships between one variable and another. Correlational research designs mainly try to establish if there is a relationship between two variables. Correlational research is nonexperimental because the researcher will be measuring two variables and assessing their statistical relationship. While experimental research will make use of independent and dependent variables, correlational research will not use any of these variables. In experimental research, the researcher can manipulate one of the variables, but for correlational research, no variable is manipulated but both variables are measured. The two research designs make use of hypothesis and the difference will come out based on whether the researcher assigned the participants to particular groupings or they just asked the participants the intended questions. In essence, correlational research does not perform any random assignment.
The selected article uses experimental research design and titled Motivated Recall in the Service of the Economic System: The Case of Anthropogenic Climate Change. The researchers indicate that people are more likely to recall climate change effects when there is an economic attachment associated with the information. The researchers conducted three different studies and in all the studies the experimental group demonstrated that they would be motivated by the economic system for them to recall evidence of climate change (Hennes, Ruisch, Feygina, Monteiro, & Jost, 2016). The researchers observed that people are not merely ignorant of this information, but rather they are motivated to justify their landscape of information in order to maintain their social status quo. Using the experimental research method, the researchers were able to randomly assign participants to different groups and share different information with the selected groups. This allowed the researchers to determine if there were any differences in the participant's responses.
References
Hennes, E. P., Ruisch, B. C., Feygina, I., Monteiro, C. A., & Jost, J. T. (2016). Motivated recall in the service of the economic system: The case of anthropogenic climate change. Journal of Experimental Psychology: General, 145(6), 755.
88). To make the non-experimental anthropological study of freshman in a dorm room experimental, a study could be constructed of multiple variable factors (such as high school grades, number of roommates, major, gender) to determine what variables were present in students with higher grades. By submitting questionnaire to students in the dorm room and determining which variables, when present, seemed to correlate with higher grades and were potential 'causal' factors
new reading program on a student's ability to learn to read. Because the program is designed specifically for helping new readers learn basic reading skills the experimenter chooses only beginning first-grade students as the population of interest. Thus, as the subject variable is one that cannot be the target of random assignment (you cannot randomly assigned subjects to the first-grade) a nonequivalent control group pre-test post-test quasi-experimental design is
categories of research designs: true experiment, factorial, quasi-experiment, and ex post facto. Under each broad category, there are a number of more specific research designs. For instance, a co-relational design in which the researcher aims to determine the relationship between two or more variables falls under the category of ex post facto designs. Your research design represents the structure of your study. In other words, it reflects the number
Internal validity of any research design refers to the design's ability to make causal inferences from the data collected and the results of the study (Shadish, Cook, & Campbell, 2002). The research designs that offer the highest levels of internal validity are true experiments where the participants are randomly assigned to the conditions in the study. Quasi-experimental designs attempt to improve on the poor internal validity of correlational designs by
Non-experimental research designs is a type of study that is essentially uncontrolled. The research has little to no ability to influence the variables at work, and therefore the research cannot be considered a controlled experiment. There are several types of non-experimental research designs, including correlational, descriptive and historical. Different Types of Non-Experimental Research The different types of non-experimental research are bound by the fact that in all cases, the researcher has no
Causation cannot be inferred from non-experimental designs, only relationships. This type of design allows researchers to observe how certain factors co-exist in a natural environment, without any experimental intervention. This allows researchers a first step in testing hypotheses and theories as to what causes a certain phenomenon. When a study is lacking in internal validity, it means that confounding variables within the study were not successfully eliminated. In other words,
Our semester plans gives you unlimited, unrestricted access to our entire library of resources —writing tools, guides, example essays, tutorials, class notes, and more.
Get Started Now