Research Methods & Critical Thinking Notes
Lecture: Research Methods & Critical Thinking
What is Science?
Science is the systematic study of the universe, organizing knowledge through testable predictions and explanations.
It relies on observation and experimentation (i.e., research) to yield empirical evidence.
Scientific findings must be capable of being verified or disproved.
Experimental / Scientific Method
Make observations: Identify patterns in nature from experiences, thoughts, or reading.
Think of interesting questions: Inquire about the reasons behind observed patterns.
Hypothesis: Ask specific questions to narrow down potential causes of a phenomenon.
Develop testable predictions: Formulate expectations (a, b, c…) based on the hypothesis's correctness.
Gather data to test predictions: Collect relevant data from literature, new observations, or formal experiments.
Replication is essential to verify results.
Hypothesis may be refined, altered, expanded, or rejected based on the data.
Develop general theories: Theories must be consistent with available data and current theories.
Steps Summarized
Ask a question.
Conduct background research.
Formulate a hypothesis.
Collect data to test the hypothesis.
Analyze the data and draw conclusions.
Report the findings.
Asking a Question & Background Research
Ask a question: Identify what you are curious about.
Background research:
Use peer-reviewed articles and prior research (e.g., Google Scholar).
Determine if the question has been previously answered.
Explore how to expand upon existing knowledge on the topic.
Formulate a Hypothesis
Theory: An explanation using an integrated set of principles that organizes observations and predicts behaviors or events.
Hypothesis: A testable prediction, often implied by a theory.
Developing a Widely Recognized Theory
Achieved through replication, not reproduction.
Replication: Repeating the essence of a research study, usually with different participants in different situations, to see whether the basic finding extends to other participants and circumstances.
Usefulness of a Theory
Organization: Organizes a range of self-reports and observations.
Implication: Implies predictions that can be used to check the theory or derive practical applications (e.g., does people’s sleep predict their retention?).
Stimulation: Stimulates further research that leads to a revised theory, better organizing and predicting what is known.
The Scientific Method: A Self-Correcting Process
The scientific method is a self-correcting process for asking questions and observing nature’s answers.
Observe: For example, students with good sleep habits tend to answer questions correctly in class and perform well on tests.
Theory: Sleep improves memory.
Prediction/Hypothesis: When people are sleep-deprived, they will remember less from the day before.
Test hypothesis: Assess how well people remember course materials studied before a good night’s sleep versus before a shortened night’s sleep.
Testing the Hypothesis
Independent Variable (IV): The variable the experimenter manipulates.
Dependent Variable (DV): The variable the experimenter measures after making changes to the IV.
Operationalization: Necessary to test/measure variables (e.g., “intelligence” can be operationalized as a score on an IQ test).
Descriptive
Validity: Does the instrument/test really measure what it’s supposed to measure? (accuracy).
Reliability: Can the results be reproduced when the research is repeated under the same conditions? (consistency).
Extraneous Variables
All other variables, which are not the IV, but could still affect the results of the experiment.
Could affect the DV, the IV, or the relationship between IV and DV.
Main Types:
Situational & Researcher Variables: Associated with the situation (experiment or environment) and/or researcher(s).
Controlled through standardization.
Participant Variables: Associated with the participant(s).
Controlled through randomization.
Specific Extraneous Variables
Situational Variables: Time of day, noises/sounds.
Consistent testing protocols (standardized testing environment and procedures).
Researcher Variables: Researcher bias or researcher appearance/behavior.
Consistent testing protocols & “blinding” the study (double-blind study: neither subject nor experimenter knows which condition the participant is in).
Participant Variables: Participant age, education, gender, etc.
Randomization (sampling and assignment to conditions/groups; screen for/exclude certain groups).
Types of Research Design
Descriptive
Correlational
Experimental
Review
Meta-analytic
Case Studies
Single-subject research involving detailed examination of a particular case.
Strengths:
Detailed, rich qualitative information.
Insight/hypothesis-generation for further research.
Permits investigation of otherwise impractical (or unethical) situations (i.e., studying rare populations/phenomena).
Can suggest directions for future studies.
Weakness:
Limited scientific rigor and generalizability.
Susceptible to researcher bias.
Difficult to replicate (low reliability).
Naturalistic Observations
Observing and recording behavior in naturally occurring situations without trying to manipulate and control the situation.
Strengths:
More natural behavior occurs if people are unaware of observation.
Studying of animals that cannot be observed in captivity.
Study of situations that cannot be artificially set up.
Weakness:
Limited scientific rigor and generalizability.
Observer may affect behavior if detected.
Difficult to replicate (low reliability).
Very subjective.