Question

Hanley (2012) - BAP: What are some of the likely reasons for different outcomes across a DA and FA?

a) Methodological differences

b) Similarities in study design

c) Consistency in data collection

d) Lack of variation in intervention

Answer 1

Different outcomes across a DA and FA can be attributed to methodological differences, similarities in study design, consistency in data collection, and lack of variation in intervention.

Step-by-step explanation:

When comparing outcomes across different data analysis (DA) and factor analysis (FA), there are several likely reasons for different outcomes:

1. Methodological differences: Variations in research methods, such as data collection techniques, sample sizes, or study designs, can lead to different results.
2. Similarities in study design: On the other hand, if the DA and FA studies have similar designs, this could contribute to similar outcomes.
3. Consistency in data collection: If the data collection methods are consistent across the studies, the outcomes are more likely to be comparable.
4. Lack of variation in intervention: Finally, if the intervention being studied lacks variation or is not implemented differently in the different studies, this could lead to similar outcomes.