Podcast
Questions and Answers
What is one strength of laboratory experiments?
What is one strength of laboratory experiments?
- They are less expensive than other methods.
- They provide control over variables, allowing for cause and effect to be established. (correct)
- They allow for more participant variability.
- They can be easily generalized to real-world settings.
Laboratory experiments typically exhibit high ecological validity.
Laboratory experiments typically exhibit high ecological validity.
False (B)
What is a key feature of the independent variable (IV) in experimental methods?
What is a key feature of the independent variable (IV) in experimental methods?
The independent variable is the factor that is manipulated to observe its effect on the dependent variable.
In experimental designs, controlling ________ is crucial for ensuring the validity of results.
In experimental designs, controlling ________ is crucial for ensuring the validity of results.
Match the following terms related to experimental methods with their definitions:
Match the following terms related to experimental methods with their definitions:
What is a key advantage of laboratory experiments?
What is a key advantage of laboratory experiments?
A disadvantage of laboratory experiments is the lack of control over confounding variables.
A disadvantage of laboratory experiments is the lack of control over confounding variables.
What are the two variables involved in a laboratory experiment?
What are the two variables involved in a laboratory experiment?
In laboratory experiments, the controlled setting allows for high __________ over the independent variable.
In laboratory experiments, the controlled setting allows for high __________ over the independent variable.
Match the type of interview with its characteristic:
Match the type of interview with its characteristic:
What does a laboratory experiment enable researchers to establish?
What does a laboratory experiment enable researchers to establish?
Unstructured interviews are easier to analyze due to their standardized format.
Unstructured interviews are easier to analyze due to their standardized format.
What is the primary limitation of using correlations in research?
What is the primary limitation of using correlations in research?
Laboratory experiments are often noted for their __________, which allows for study replication.
Laboratory experiments are often noted for their __________, which allows for study replication.
Which of the following is NOT a strength of laboratory experiments?
Which of the following is NOT a strength of laboratory experiments?
Flashcards
Laboratory Experiment
Laboratory Experiment
A research method where an independent variable (IV) is manipulated to observe its effect on a dependent variable (DV) in a controlled environment.
Experimental Method
Experimental Method
A research method that aims to establish cause-and-effect relationships by manipulating the independent variable.
Ecological Validity
Ecological Validity
The extent to which the findings of a study can be applied to other settings and populations.
Observational Method
Observational Method
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Self-Report Technique
Self-Report Technique
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Structured Interview
Structured Interview
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Unstructured Interview
Unstructured Interview
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Semi-structured Interview
Semi-structured Interview
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Correlation
Correlation
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Experiment
Experiment
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Independent Variable (IV)
Independent Variable (IV)
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Dependent Variable (DV)
Dependent Variable (DV)
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Confounding Variable
Confounding Variable
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Study Notes
Research Methods - Content Booklet
- Experimental method covers types of experiments (laboratory, field, natural, quasi).
- Observational techniques include naturalistic, controlled, covert, overt, and participant observation.
- Self-report techniques involve questionnaires and interviews (structured and unstructured).
- Correlations analyze relationships between co-variables, contrasting them with experiments.
- Content analysis examines the content of communication.
- Case studies focus on detailed investigations of individuals or small groups.
- Scientific processes include aims, hypotheses (directional, non-directional), and sampling methods (random, systematic, stratified, opportunity, volunteer).
- Pilot studies, experimental designs (repeated measures, independent groups, matched pairs), and observational designs (event sampling, time sampling) are also part of the specification content.
- Variables (independent, dependent, extraneous, confounding) need to be appropriately operationalised/defined.
- Control techniques like random allocation and counterbalancing are essential to ensure validity.
- Demand characteristics and investigator effects are key issues.
Scientific Processes: Aims & Hypotheses
- Aims define the study's general purpose.
- Hypotheses are precise, testable predictions.
- Alternative and null hypotheses exist in all studies (directional and non-directional)
Data Handling and Analysis
- Quantitative data represents numerical data (counts, measures).
- Qualitative data involves descriptive data (words, observations).
- Descriptive statistics include measures of central tendency (mean, median, mode) and dispersion (range, standard deviation).
- Inferential statistics involve using statistical tests to determine the probability of findings being due to chance.
Experimental Methods Summary
- Laboratory Experiment: High control over variables, artificial environment, which can limit generalizability and increase demand characteristics impacting external validity. However, cause-and-effect relationships may be more easily established.
- Field Experiment: Manipulated IV in a natural setting, but less control over extraneous variables, making causality harder to pin down but improves ecological validity.
- Natural Experiment: Naturally occurring changes in the IV, less control but high ecological validity; however, cause-and-effect is difficult to determine.
- Quasi-Experiment: An existing difference between groups (e.g., gender, age) is the IV, high ecological validity but no manipulation, limiting causal interpretations.
Observational Techniques
- Naturalistic Observation: Observing behaviour in a natural setting without intervention, high ecological validity but lacks control, making it difficult to establish causality.
- Controlled Observation: Observing behaviour in a structured environment, more controlled than naturalistic observation; however, it may lack ecological validity.
Self-Report Techniques
- Questionnaires: A series of questions, can collect large amounts of data efficiently but responses may not be truthful or properly understood.
- Structured Interviews: Pre-determined questions, good for replication, but can be inflexible and lack depth.
- Unstructured Interviews: Unstructured questions and responses, richer data, but harder to analyze & might contain subjective biases.
Correlations
- Correlational analyses explore the relationship between two co-variables but cannot conclude cause-and-effect.
- Correlations can be positive, negative, or zero, and are quantified by correlation coefficients.
Features of Science
- Objectivity: Unbiased research, no researcher influence.
- Empirical method: Data-driven approach.
- Replicability: Consistent findings when repeated.
- Falsifiability: Ability for a theory to be proven wrong.
Reporting Psychological Investigations
- Structure of a scientific report (abstract, introduction, method, results, discussion, references).
- Data handling using descriptive & inferential statistics
- Graphs (bar charts, histograms, scattergrams) and tables for visualizing data.
Ethics in Psychological Research
- Informed consent; Deception; Protection from harm; Confidentiality, Anonymity; Debriefing & Right to withdraw are essential, and are outlined in BPS guidelines. Researchers are responsible for ethical oversight.
Improving Reliability & Validity
- Reliability: Consistency of measurement.
- Validity: Accuracy of the measure.
- Various techniques may improve both depending on the research method and purpose.
Statistical Tests
- Statistical tests are used. Understanding statistical analysis is essential to interpret results.
- Different tests are used depending on the type of data (nominal, ordinal, interval) and the research design.
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