Week 2 Topic 2 DQ1
Discuss sources of bias for both quantitative and qualitative research. For quantitative research, be sure to address both random and systematic bias. You may use examples from the articles you selected as illustrations of bias and/or preventing bias.
Bias technically means a systematic error or distortion where a particular research finding deviates from the actual discovery. Bias also affects the validity and reliability of results (Polit & Beck, 2012, pg. 161). Biases can arise from many sources such as errors in the way participants are interviewed, errors in sampling, the personal views of the researcher, and poor study designs which will affect the evidence quality in both qualitative and quantitative research findings (Polit & Beck, 2012, pg. 161).
Excerpt from file: Week2Topic2DQ1 Discusssourcesofbiasforbothquantitativeandqualitativeresearch.Forquantitativeresearch, besuretoaddressbothrandomandsystematicbias.Youmayuseexamplesfromthearticlesyou selectedasillustrationsofbiasand/orpreventingbias.
Filesize: < 2 MB
Print Length: 3 Pages/Slides
Surround your text in
**bold**, to write a math equation use, for example,