Question

What were the major sources of error in Orlove's fishing study data?

A) Incomplete reporting by fishermen and variability in catch measurements.
B) Limited access to fishing locations and unpredictable weather conditions.
C) Inaccurate equipment used in the catch survey and biased participant responses.
D) Insufficient collaboration with IMARPE and lack of community engagement.

Answer 1

The major sources of error in Orlove's fishing study data likely include incomplete reporting, variability in catch measurements, sampling errors, and observer bias, all of which can distort outcomes if not properly addressed.

Step-by-step explanation:

The major sources of error in Orlove's fishing study data are likely to include incomplete reporting by fishermen and variability in catch measurements, which could be due to many factors such as the unwillingness of participants to provide accurate responses, misremembering, or attempting to portray themselves in a better light. Inaccuracies might also stem from sampling errors caused by a non-representative sample or from nonsampling errors such as inaccurate equipment.

Furthermore, errors in research may arise from factors like irregularities in the object being measured and observer bias, where observers may inadvertently skew results to match expectations. Ensuring that surveys are well-designed to minimize question wording effects and using random sampling can mitigate bias and chance errors, and replication is crucial in research to avoid the distortion that can result from chance events or biased sampling.