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Understand research design and methodology terminology
Research design refers to the overall plan that allows researchers to seek answers to study questions and test study hypotheses.
Each design has inherent strengths and limitations that make some more appropriate to answer a research question over others.
Scientific inquiry: systematic process of asking questions and proposing explanations based on evidence acquired through validated methods
Use of scientific inquiry is evidence-based practice
Objective evidence generation: standardized approaches for conducting experiments and collecting data in a way that minimizes bias
Critical evaluation of information: requires critical thinking skills to evaluate the quality of scientific information, identify credible sources, and understand the limitation of research findings
Distinguishing credible evidence: the ability to discern good quality evidence from misinformation or weak arguments, ensuring that decisions are based on robust science (instead of “belief”)
Promoting best practices: provides the framework for finding, critiquing, and synthesizing that evidence to guide the development of best practice recommendations
Describe the classification of research designs in clinical research: Order
Order
Scientific method is not common sense
Arrives at conclusions through organized observations of entities or events classified on the basis of common properties and behaviors
Organizing by shared properties/behaviors allows for predictions (inference)
Describe the classification of research designs in clinical research: Interference and Chance
Interference and Chance
Reasoning, or inference, means that a statement or conclusion out to be accepted because the premise is true
Always possibility conclusions are result of chance
Two distinct approaches or arguments have evolved in the development of inferences:
Deductive reasoning
Inductive reasoning
Deduction moved from the general to the specific → reasoning minimizes chance
All A is B
All B is C, thus
All A is C

Health research depends almost entirely upon inductive reasoning
Inductive reasoning moves from the specific to the general
The conclusion does not necessarily follow from the premises or evidence (facts)
Increases the possibility that premises may be tru but the conclusions false
Describe the classification of research designs in clinical research: Evaluation of probability
Evaluation of probability
Probability measures how likely an event, outcome, or result will occur
Used to
Test hypothesis
Determine how likely data patterns happen by random chance
Measures from 0-1, where 0 is impossible and 1 is total certainty
Describe the classification of research designs in clinical research: Hypothesis testing
Hypothesis testing
are carefully constructed predictions about characteristics of a population to answer a research question.
Includes independent variables (cause) and dependent variables (effect)
Testing looks for differences in effects between groups exposed to the cause (or not)
Testing requires:
a null hypothesis (H0) there is no difference between groups = failure to reject the null hypothesis
alternative hypothesis (HA) there is a difference and we can reject the null hypothesis
Describe the classification of research designs in clinical research: Ethics
Ethics
provide the moral societal standards for responsible research conduct
These standards are based on respect, fairness, and wellbeing of research participants
Discuss common research methodologies in clinical research: Validity
Explain the importance of reliability and validity in research
Validity: reflects accuracy of study results
Internal: extent to which the design of the study is likely to produce reliable and consistent results pertaining to the relationship between the dependent variable and the independent variable
External: extent to which results of a study can be generalized to other settings
Discuss common research methodologies in clinical research: variables (relationship)
Relationship among variables:
Causality
A relationship between variables where one event (the cause) directly leads to another event (the effect)
relationship cannot be explained by a third event (confounder) this is known as spuriousness
Correlation: a statistical concept that implies only that a relationship exists but has zero implications on causation.
There is no causation without correlation.
Correlation does not imply causation.
refers to the inability to legitimately deduce a cause-and-effect relationship between two events or variables solely on the basis of an observed association or correlation between them.
Discuss common research methodologies in clinical research: Variables
Variables: characteristics of pop or sample that are examined, measured, described, and interpreted
Independent variable is the cause
Dependent variable is the effect
Confounding (unknown or known): variables that have an association with both the independent and dependent variable
They distort the relationships between variables, leading to incorrect conclusions about causation

Discuss common research methodologies in clinical research: Function of time
Prospective Analysis
Retrospective Analysis
to be continued …