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A comprehensive overview of the scientific method and research design principles, focusing on key concepts like hypothesis generation, experimental design, data analysis, and the interpretation of research findings. It includes numerous true/false questions and definitions of important terms, making it a valuable resource for students studying the scientific method and research methodology.
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Science ✔✔Method of attempting to arrive at objective truths Use of evidence to make explanations and predictions of natural phenomena
Hypothesis ✔✔Proposed explanation for a problem or observations
Scientific Method ✔✔Process of creating explanations about the world and testing those explanations with experiments and data
Evidence-Based Practice ✔✔Three-pronged approach to working with clients
What are the 3x prongs of Evidence-based Practice ✔✔Weight of the evidence from scientific research Field observations Individual client needs and preferences
Prediction ✔✔Expected outcome generated from a hypothesis.
Steps of the Scientific Method (5x) ✔✔Idea - identify the problem Generate hypothesis
Design an experiment
Acquire and analyze data
Accept & keep testing OR Reject and generate a new hypothesis
True or False: Scientists identify what is most likely to be true by demonstrating what is not true. ✔✔True
Theory ✔✔Hypothesis or set of hypotheses for which a lot of high-quality evidence has been gathered
Anecdote ✔✔Account of a person's experience
Uncontrolled Variable ✔✔Variable in an experiment that scientists make no effort to change or account for
Primary Research ✔✔Original research
Scientists perform experiments & collect data
Secondary Research ✔✔Scientists analyze data that has already been collected or published
Observational Research ✔✔Observes ongoing behaviors in order to determine if correlations exist
Meta-Analysis ✔✔Statistical analysis of RCTs; a study of studies
Empirical ✔✔Based on observation or experience
Test-Retest Reliability ✔✔Getting similar results when something is measured under the same conditions
Reliability ✔✔consistency of measurement
Validity ✔✔Assessment of whether a tool is measuring what it is supposed to measure
Selection Bias ✔✔Sample of people is not representative of the larger population
Retrospective ✔✔Study that looks backward in time
Recall Bias ✔✔Inability to accurately remember past behaviors
Case Studies ✔✔Track a single person or group over time
Surveys ✔✔Questionnaires or interviews given to samples of people
Historical Research ✔✔Looks at events that already happened and uses them to make inferences about over times and the future
Cross-sectional Studies ✔✔Variables in a group at a specific point in time; a cross-section of people
Case-control Studies ✔✔Determine if exposure to something is associated with an outcome
Uses data that has already been collected
Cohort Studies ✔✔Group followed over time to see if there is a relationship between an exposure and an outcome/disease
Descriptive Research ✔✔Describes individuals or populations
Exploratory/Epidemiological Research ✔✔Looks for relationships between variables in large populations
Parallel Design ✔✔Track 2+ independent groups in parallel with each other
Factorial Design ✔✔Test the impact of 2+ variables at the same time instead of isolating a single variable