Eliminating bias in quantitative research


Discussion:

Eliminating Bias in Quantitative Research

1.What are some ways a researcher can eliminate bias from subjects or participants in quantitative research? This solution reviews some of the common types of bias and threats to validity in quantitative research such as history, maturation, regression, selection, mortality, diffusion of treatment, testing, and instrumentation. It also discusses how to avoid these biases.

Write your answer/response in detail with examples and facts and figures using APA style of formatting, size 12, font Times new roman and answer must be single spaced.

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