Podcast
Questions and Answers
What is the primary role of the independent variable in an experiment?
What is the primary role of the independent variable in an experiment?
Which type of experimental design involves using the same subjects across all groups?
Which type of experimental design involves using the same subjects across all groups?
What is a confounding variable?
What is a confounding variable?
In the context of validity in research, what is external validity?
In the context of validity in research, what is external validity?
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Which of the following best describes a mixed design in experimental research?
Which of the following best describes a mixed design in experimental research?
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What is one key benefit of Evidence Informed Practice (EIP) for RMTs?
What is one key benefit of Evidence Informed Practice (EIP) for RMTs?
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Which of the following is a characteristic of quantitative methods?
Which of the following is a characteristic of quantitative methods?
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What assumption is generally made by qualitative methods?
What assumption is generally made by qualitative methods?
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Which of the following best describes a descriptive study?
Which of the following best describes a descriptive study?
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How do qualitative and quantitative methods complement each other in research?
How do qualitative and quantitative methods complement each other in research?
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What is a primary focus of quantitative research regarding outcomes?
What is a primary focus of quantitative research regarding outcomes?
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What is a primary disadvantage of performing long-term cohort studies?
What is a primary disadvantage of performing long-term cohort studies?
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Which aspect of research is emphasized in both qualitative and quantitative studies?
Which aspect of research is emphasized in both qualitative and quantitative studies?
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What does the quantitative method primarily utilize to summarize information?
What does the quantitative method primarily utilize to summarize information?
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How does a Before/After study with a control group improve upon a Before/After study without a control group?
How does a Before/After study with a control group improve upon a Before/After study without a control group?
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What is a key characteristic of a case report?
What is a key characteristic of a case report?
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Why are anecdotes considered weak evidence in scientific research?
Why are anecdotes considered weak evidence in scientific research?
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Which of the following statements about correlation studies is true?
Which of the following statements about correlation studies is true?
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What is one potential issue with using case series?
What is one potential issue with using case series?
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What is the main purpose of conducting a Before/After study?
What is the main purpose of conducting a Before/After study?
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What distinguishes a case series from a case report?
What distinguishes a case series from a case report?
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What do descriptive studies primarily aim to do?
What do descriptive studies primarily aim to do?
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What is a benefit of conducting a quick study to assess exposure and outcome associations?
What is a benefit of conducting a quick study to assess exposure and outcome associations?
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Which section of a research article includes the detailed description of how the study was carried out?
Which section of a research article includes the detailed description of how the study was carried out?
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Which type of study provides the strongest evidence for cause-and-effect relationships?
Which type of study provides the strongest evidence for cause-and-effect relationships?
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What does the Results/Findings section of a research article typically provide?
What does the Results/Findings section of a research article typically provide?
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What is a characteristic of a systematic review?
What is a characteristic of a systematic review?
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What is an essential characteristic of a hypothesis in research?
What is an essential characteristic of a hypothesis in research?
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What type of study is characterized by the random assignment of participants to groups?
What type of study is characterized by the random assignment of participants to groups?
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What role does the null hypothesis play in research?
What role does the null hypothesis play in research?
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What does a meta-analysis aim to achieve?
What does a meta-analysis aim to achieve?
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What should the Conclusion/Discussion section of a research article primarily address?
What should the Conclusion/Discussion section of a research article primarily address?
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Cohort studies are best described as which of the following?
Cohort studies are best described as which of the following?
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How do explanatory studies differ from descriptive studies?
How do explanatory studies differ from descriptive studies?
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In a hypothesis, what represents the dependent variable?
In a hypothesis, what represents the dependent variable?
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What is included in the Abstract of a research article?
What is included in the Abstract of a research article?
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What is the purpose of observational studies in explanatory research?
What is the purpose of observational studies in explanatory research?
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Which of the following is NOT a characteristic of meta-analyses?
Which of the following is NOT a characteristic of meta-analyses?
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What is a limitation of descriptive studies compared to explanatory studies?
What is a limitation of descriptive studies compared to explanatory studies?
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Study Notes
Evidence Informed Practice (EIP)
- EIP is a triad of best available research evidence, professional/clinical expertise, and client values/individualized needs.
- The better the research evidence, the more confident clinical decisions are.
- Evidence alone is insufficient to make clinical decisions.
- Following evidence-informed/evidence-based standards improves RMT effectiveness, insurance benefits, standardization, and reputation in the health care community.
Quantitative vs Qualitative Methods
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Quantitative methods assume a uniform reality and measurable data, expressing it in numbers.
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It assumes linear cause and effect.
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Quantitative methods test hypotheses and use numbers to summarize information.
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Researchers control the treatment setting and participants.
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The focus is on ruling out rival explanations and using statistics to show the probability of chance outcomes.
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Qualitative methods assume observations affect what's being observed; description varies; multiple factors affect outcomes.
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Qualitative research doesn't assume one single reality and uses multiple factors or causes for outcomes.
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Qualitative observations are done in natural settings, unlike controlled settings seen in quantitative approaches.
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Data collection includes interviews, observations, documents, questionnaires, and surveys
Quantitative vs Qualitative Methods (Continued)
- Both quantitative and qualitative methods have limitations, but are crucial for scientific research.
- Both methods assess the credibility of a study, its reliability, and validity.
- Depending on the research question, some studies use both approaches.
- Qualitative analysis aids in developing specific and quantifiable hypotheses.
- Quantitative statistics help to illuminate patterns in qualitative studies.
- Most health care research utilizes quantitative methods.
Descriptive vs Explanatory Studies
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Descriptive studies describe a group/sample/population without intentions of going beyond that specific group or segment.
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These studies don't test theories or learn more about the specific group.
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They set the stage for eventually testing a theory by first forming a hypothesis.
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Studies seeking generalized statements about a population based on a sample are explanatory/inferential studies.
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These look to see if the population benefits from something.
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Descriptive studies form hypotheses but include weaker evidence due to a lack of control or comparisons.
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However, these studies form a foundation for hypotheses based on observation.
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Explanatory studies test hypotheses and provide evidence about the relationships between variables or events.
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These provide a stronger evidence base by clarifying cause and effect relationships.
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Explanatory studies are divided into observational and experimental studies.
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Examples include case studies, case series, correlation studies, and qualitative studies.
Study Designs
- Study designs range from observational to experimental, progressing toward higher quality evidence.
- The pyramid illustrates study design quality with Meta-Analyses at the top, followed by systematic reviews, critically appraised literature, randomized controlled trials, and non-randomized controlled trials, cohort studies, case series, etc.
Types of Studies (continued)
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Meta-analysis: studies focused on a particular question grouped by criteria from multiple databases; identifies published articles; reduces selection bias, used to estimate the size of a treatment effect, and resolve contradictory/inconclusive data.
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Systematic review: a similar approach to meta-analysis but incorporates previously unpublished studies and aims to eliminate publication bias by including a wide range of evidence from diverse sources to determine inclusion and assess the validity.
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RCT (Randomized Controlled Trial): also known as randomized trials, clinical trials, or intervention studies. These studies provide direct evidence of cause-and-effect following treatment by randomly assigning participants to treatment or control groups.
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Cohort study: prospective, longitudinal, observational studies that attempt to explain the relationship between treatment and outcome. Cohort studies observe a group of individuals over time to explore a relationship.
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Before/After without Control: a type of case series where a practitioner measures an outcome; sets eligibility standards; gathers baseline data; intervenes; and measures the outcome to determine experimental case series. Weaknesses include lack of control groups and potential overestimation of treatment impact.
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Before/After with Control: similar to before/after without control but includes a control group making it more reliable.
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Case Report: describes events related to a single patient's experience to provide insight into events; helps propose hypotheses related to patient care and can be used to report adverse responses to treatment.
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Case Series: combines individual case studies of similar patients to further investigate patterns or phenomena.
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Anecdote: a brief description of a person or incident and can be useful as an initial observation or a trigger for creating a case report.
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Correlation Study: identifies existing data to study a population and determine if there's an association or correlation between exposure and outcome, yet it does not prove causality.
Components of a Research Article
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Abstract: a summary of the background, purpose, design, methods, results, conclusion, and discussion of a study.
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Introduction: details study purpose, importance, research questions, and literature review.
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Methods: describes the detailed study conduct, to allow replications. It's important to explain how the study was done, including all the processes, settings, and tools.
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Results/Findings: describes the analysis of study data (qualitative or quantitative), and neither supports nor dismisses the hypothesis or a research question.
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Conclusion/Discussion: answers the study question, explains the results, cites other research to help validate the results, and indicates the study's significance.
Hypothesis
- Hypothesis: a testable statement that can be demonstrated as true or false.
- Hypothesis is a suggestion on how things work, which is testable and measurable.
- Hypothesis will have a dependent variable, the one that is changed; independent variable, the thing being measured.
- The null hypothesis is the accepted assumption that there is no relationship between variables.
- Researchers try to disprove the null hypothesis.
Variables
- Independent Variable: the variable manipulated or changed in an experiment; it is the cause.
- Dependent Variable: the measured variable affected by the independent variable; it is the effect.
- Controlled Variable: variables kept constant and unchanged throughout the study.
Types of Experiment Designs
- By number of Independent variables: simple designs have one; complex designs have multiple
- By subject assignment: between-subjects (different subjects in each group); within-subjects (same subjects in all groups); mixed designs (a blend of both).
Class #2
- Statistics: essential for interpreting data
- Internal vs. External validity: addresses the study's methodology and generalizability to real-world settings
- Ethics and Peer review: crucial for study quality control
- Critiquing an article: evaluating research designs, methods, and interpretation of findings.
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Description
Test your knowledge on key concepts of experimental research methods, including the roles of variables, design types, and validity. This quiz covers both qualitative and quantitative methods and their applications in research. Dive into the intricacies of Evidence Informed Practice and the assessment of research outcomes.