Order ID | 9994173582 |
Subject | Management |
Topic | Relationships and Causation / Reliability and Validity in Measurement |
Type | Discussion Board Post |
Writer level | Master’s |
Style | APA |
Sources / references | 3 |
Language | English(U.S.) |
Description / paper instructions
Discussion 1: Relationships and Causation
When considering the world of relationships between variables, it is a common mistake to assume causation when a correlation is present. A high correlation between variables does not necessarily indicate causation. While strong correlations prompt researchers to take notice of possible causality, researchers must also be aware of attentional bias and prior beliefs when interpreting correlations. It is, therefore, important to examine how causation is established. In this Discussion, you will distinguish between the two concepts of causation and correlation and apply them to your potential Doctoral Study. Post an analysis of the difference between causation and correlation within the context of your DBA doctoral research study. In your analysis, do the following: Discussion 2: Reliability and Validity in Measurement (Separate Page) Post an explanation of the importance of psychometrically (reliability and validity) sound instruments to measure constructs within quantitative business research. In your explanation, do the following: 3 references including (Green, S. B., & Salkind, N. J. (2017). Using SPSS for Windows and Macintosh: Analyzing and understanding data (8th ed.). Upper Saddle River, NJ: Pearson.) |