WGU D514 Analytical Methods for Healthcare Leaders | Complete Exam-Prep Bundle

WGU D514

Quantitative Research - ANS>>Involves the analysis of numeric data, employing
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statistical methods to draw conclusions and make inferences. This type of research
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focuses on variables and aims to measure and quantify relationships between
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variables, providing numerical insights.
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Example of Quantitative Research - ANS>>Studying the efficacy and safety of a
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specific medication in treating a particular medical condition compared to other
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treatments or placebo.
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Example of Quantitative Research - ANS>>Investigating the correlation between
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specific genetic markers and the risk of developing certain diseases or conditions,
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such as the BRCA gene and breast cancer risk.
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Example of Quantitative Research - ANS>>Analyzing the cost-effectiveness of a
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particular medical intervention or treatment, such as a new drug or surgical procedure.
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Example of Quantitative Research - ANS>>Assessing the impact of a specific public
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health intervention, such as a vaccination program, on disease incidence and
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prevalence.
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Key Characteristics of Quantitative Research - ANS>>Numeric - measurable, graphs,
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tables, etc.
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Key Characteristics of Quantitative Research - ANS>>Verifiable, accurate - value of
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the data is in the number.
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Key Characteristics of Quantitative Research - ANS>>Examples are sample size (n),
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mean, median, mode, range, standard deviation.
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Qualitative Research - ANS>>Involves the analysis of non-numeric data, describing
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observations, experiences, or phenomena. Qualitative research relies on methods
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such as interviews, observations, or content analysis to gather and interpret subjective
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information. The data is often categorized before summarizing, allowing for a deeper
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understanding of complex and context-specific phenomena.
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Qualitative Research: Examples related to chronic illnesses - ANS>>The experiences
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of patients living with chronic illnesses, such as cancer, diabetes, or mental health
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disorders.
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Qualitative Research: Examples related to healthcare disparities - ANS>>Investigate
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disparities in healthcare access, utilization, and outcomes among different population
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groups, such as racial or ethnic minorities, socioeconomically disadvantaged
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individuals, or rural communities.
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, WGU D514

Qualitative Research: Examples related to healthcare quality assessment -
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ANS>>Study assesses the quality of healthcare services from the perspective of
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patients, caregivers, or healthcare providers.
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Qualitative Research: Examples related to healthcare interventions - ANS>>Evaluate
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the implementation and effectiveness of healthcare interventions, such as new
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treatments, programs, or policies.
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Qualitative Research: Examples related to end-of-life care - ANS>>Explore the
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experiences and preferences of patients, families, and healthcare providers regarding
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end-of-life care and decision-making.
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Qualitative Research: Examples related to health behaviors - ANS>>Investigate factors
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influencing health behaviors, such as diet, exercise, smoking, or medication
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adherence.
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Nominal Variable - ANS>>Involves names or categories. Examples includes various
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cancer types, different insurance companies, specialties offered
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Ordinal Variable - ANS>>Involves order of a category. For example, a pain scale, a
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stage of cancer, a trimester of pregnancy
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Ordinal Variable - ANS>>Type of variable where the order or ranking of values
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matters, but the differences between values may not be uniform. In these, the
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intervals between values are not consistent. An example is a pain scale where the
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order of pain severity matters, but the difference between a rank of "7" and "5" may
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not be the same as between "5" and "3".
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Interval Variable - ANS>>Difference between two values or numbers. For example,
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body temperature, height, weight, age etc
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Ratio Variable - ANS>>Defines rates or numbers. For example, UTI rates a nursing
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home, male female proportion of a disease, percentage of hospital readmissions etc
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Independent Variable - ANS>>Control. Doesn't change. It is manipulated or controlled
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in experiments to observe its impact on the outcome.
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Dependent Variable - ANS>>Experimental, changeable. The outcome or response
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being studied.
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Confounding Variables - ANS>>May obscure the effect of the variables in the data.
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They are often uncontrollable by the researcher.
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Continuous Variable - ANS>>Meaningful difference between values
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