HSBH1007 Lecture Notes - Lecture 9: Confounding, Dependent And Independent Variables, Systematic Review
4 Sep 2018
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Researchers have control over the independent variable. Aims to evaluate a particular treatment or intervention by; randomizing participants to intervention and control groups, or comparing outcomes in intervention group to outcomes in the control group. Existence of appropriate control group - comparison to show impact of intervention group. Randomization or random allocation of participants - minimizes confounding. Confounding: when relationship between study factor and outcome is confused by another factor. Allows effectiveness of intervention to be evaluated. Intervention may result in side effects (adverse) Random error - imprecision in measurement, chance findings. Bias - difference between study results and truth. Confounding - relationship between study factor and outcome confuse by another factor. Selection bias - how participants are selected and how they are followed up. Measurement bias - concerns measurement of the study factor and the outcome. Identifies evidence for a particular research question.
