Analyze Non-Experimental (Non-Causal) Correlational Designs

Analyze Non-Experimental (Non-Causal) Correlational Designs

Order Description

A correlational design is one of the most often encountered non-experimental (non-causal) quantitative designs. Within correlational designs, an actual experimental
condition is non-existent; rather, relationships between variables are explored without a determination of causality. These types of studies are meant to help
researchers examine how two or more variables vary in conjunction with each other. Correlational studies can help describe complex relationships among a myriad of
variables and are often employed when attempting to determine how a change in one or more variables will co-vary with one or more other variables. Within all
correlational studies, causation cannot be assumed, regardless of how strong the correlational evidence.
Using the article by Beauvais, Steward, DeNisco, and Beauvais (2014), prepare a written analysis that addresses the following:
• Determine the general strengths and weaknesses of correlational designs. Based on your findings, identify the strengths and weaknesses of this particular study.
• Explain when a correlational design is most useful in an educational setting, and summarize whether this is an appropriate use of a correlational design in this
study. Explain why, and if it is not, recommend a more accurate research design.
• Identify and explain the types of problems correlational designs could best address. Determine if this study’s problem is best addressed by a correlational design.
• Review the research question being asked in this study, and then provide a sample research question corresponding to a different hypothetical correlational design.
Support your assignment with at least this scholarly resource. In addition to these specified resources, other appropriate scholarly resources, including older
articles, may be included.
Length: 5-7 pages, not including title and reference pages