Podcast
Questions and Answers
What is one reason some researchers argue deception in studies may be justified?
What is one reason some researchers argue deception in studies may be justified?
What is required of researchers after a study involving deception?
What is required of researchers after a study involving deception?
Which of the following is a form of deception that involves lying to participants?
Which of the following is a form of deception that involves lying to participants?
What can help diminish the negative effects of deception on participants?
What can help diminish the negative effects of deception on participants?
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Why might nondeceptive studies also have a debriefing session?
Why might nondeceptive studies also have a debriefing session?
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What have studies indicated about undergraduates' responses to deception in research?
What have studies indicated about undergraduates' responses to deception in research?
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What type of deception involves withholding details from participants?
What type of deception involves withholding details from participants?
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What does APA require regarding deceptive research designs?
What does APA require regarding deceptive research designs?
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What is the primary characteristic of good theories in psychological research?
What is the primary characteristic of good theories in psychological research?
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What does the term 'empiricism' refer to in psychological science?
What does the term 'empiricism' refer to in psychological science?
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According to the theory-data cycle, what must scientists do after collecting data?
According to the theory-data cycle, what must scientists do after collecting data?
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What is a hypothesis in the context of scientific research?
What is a hypothesis in the context of scientific research?
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What is indicated by the phrase 'good theories are falsifiable'?
What is indicated by the phrase 'good theories are falsifiable'?
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In Harlow's monkey experiment, which theory was evaluated through the data collected?
In Harlow's monkey experiment, which theory was evaluated through the data collected?
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What is parsimony in relation to scientific theories?
What is parsimony in relation to scientific theories?
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What role does data play in evaluating scientific theories?
What role does data play in evaluating scientific theories?
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What is the primary role of an Institutional Review Board (IRB)?
What is the primary role of an Institutional Review Board (IRB)?
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Which principle emphasizes the fair treatment of research participants?
Which principle emphasizes the fair treatment of research participants?
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What must an IRB panel include to be compliant?
What must an IRB panel include to be compliant?
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What does the principle of Respect for persons primarily safeguard?
What does the principle of Respect for persons primarily safeguard?
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Which ethical standard is specifically focused on psychologists as researchers?
Which ethical standard is specifically focused on psychologists as researchers?
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What precaution should researchers take regarding participants who may struggle with autonomy?
What precaution should researchers take regarding participants who may struggle with autonomy?
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What could happen to a psychologist who violates the APA's ethical standards?
What could happen to a psychologist who violates the APA's ethical standards?
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Which of the following reflects the principle of Integrity?
Which of the following reflects the principle of Integrity?
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What is a major flaw of a one-group pretest/posttest design?
What is a major flaw of a one-group pretest/posttest design?
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Which internal validity threat refers to improvements in behavior that occur naturally over time?
Which internal validity threat refers to improvements in behavior that occur naturally over time?
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How can researchers mitigate the effects of history threats in a one-group pretest/posttest study?
How can researchers mitigate the effects of history threats in a one-group pretest/posttest study?
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What is the term for when a group's average score is unusually extreme at one measurement point?
What is the term for when a group's average score is unusually extreme at one measurement point?
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What does attrition threat refer to in a one-group pretest/posttest design?
What does attrition threat refer to in a one-group pretest/posttest design?
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Which of the following is a recommended solution to avoid testing threats?
Which of the following is a recommended solution to avoid testing threats?
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Which internal validity threat involves changes due to external factors that affect the entire treatment group simultaneously?
Which internal validity threat involves changes due to external factors that affect the entire treatment group simultaneously?
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In a one-group pretest/posttest design, what is a common misconception about the observed changes in the participants?
In a one-group pretest/posttest design, what is a common misconception about the observed changes in the participants?
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What is necessary for establishing a causal claim in research?
What is necessary for establishing a causal claim in research?
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What does a third variable problem in correlation studies refer to?
What does a third variable problem in correlation studies refer to?
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Which type of variable is manipulated by researchers in an experiment?
Which type of variable is manipulated by researchers in an experiment?
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What is the primary purpose of using control variables in an experiment?
What is the primary purpose of using control variables in an experiment?
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Which of the following terms describes the systematic difference in participant characteristics across different levels of an independent variable?
Which of the following terms describes the systematic difference in participant characteristics across different levels of an independent variable?
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What is the effect of a moderator variable in research?
What is the effect of a moderator variable in research?
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Which component is essential for ensuring covariance in experiments?
Which component is essential for ensuring covariance in experiments?
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Unsystmatic variability in a study is generally considered:
Unsystmatic variability in a study is generally considered:
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What is the term used when the correlation between two variables is influenced by another variable?
What is the term used when the correlation between two variables is influenced by another variable?
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What is the aim of using a placebo group in an experiment?
What is the aim of using a placebo group in an experiment?
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What does a high effect size indicate in relation to variance?
What does a high effect size indicate in relation to variance?
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Which factor is classified as a confound?
Which factor is classified as a confound?
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What characterizes a crossover interaction?
What characterizes a crossover interaction?
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In a factorial design with 2 independent variables, how many main effects can be found?
In a factorial design with 2 independent variables, how many main effects can be found?
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What do marginal means represent in a factorial design?
What do marginal means represent in a factorial design?
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Which of the following terms refers to the process of determining how one variable affects others?
Which of the following terms refers to the process of determining how one variable affects others?
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What is the outcome when both a main effect and an interaction effect are present in a study?
What is the outcome when both a main effect and an interaction effect are present in a study?
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What indicates a potential interaction when using a graph?
What indicates a potential interaction when using a graph?
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Which of the following is NOT a characteristic of obscuring factors?
Which of the following is NOT a characteristic of obscuring factors?
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What is a participant variable in the context of factorial designs?
What is a participant variable in the context of factorial designs?
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Study Notes
Research Producers and Consumers
- Students who want to be research producers need skills to conduct research
- Students who want to be research consumers need skills to interpret research findings
- Skills researchers need include:
- Random assignment of people in groups to test therapies and policies
- Accurate data collection (ex: measuring attitudes)
- Interpreting results (ex: from graphs)
- Skills consumers of research need include:
- Finding, reading and evaluating research
- Critically interrogating information and asking right questions
- Determining answers from research and using them to make sound decisions
- Most psychologists use both roles: researching the work of others and creating new knowledge
Empiricism
- Empiricism = using evidence from the senses or from tools that enhance sense to understand the world
- Empiricists aim for their work to be independently verifiable by others
The Theory-Data Cycle
- Theory-data cycle = a systematic process for solving a research problem
- This involves proposing theories, generating hypotheses, collecting data, using data to update/test the theory
Theories Don't Prove Anything
- Theories can be supported by data, or falsified (disproved) by data
- Theories are supported by data.
- Good theories are falsifiable, meaning they can be disproven by data.
- Data is useful if they convince us whether a theory is correct or not.
- Good theories are parsimonious - simplest explanation that accounts for the data is preferred
- Theories are not about proving things, but using data to support or challenge them
Applied and Basic Research
- Applied research is developed with a practical problem in mind, solving it in a specific real-world context
- Basic research aims to enhance general knowledge in psychology
- Translational research connects basic research to applied research, used in healthcare or psychotherapy.
Publication Process
- Publishing research results involves worldwide scientific communication (ex: peer-reviewed journals)
- Publication process in journals helps to sharpen thinking and improve communication
Journal vs. Journalism
- Journals are primarily read by other scientists and psychology students
- Journalism includes news, commentary, articles, and resources readily accessible to the public (ex: TV, magazines, newspapers)
- It is important to be aware of the potential risks of journalism coverage - ex: sensationalizing the story
The Empirical Cycle
- The cycle involves a sequence of steps that include observation, evaluation, the development of theories and hypotheses, testing them through research and then revising or confirming the theory
Psychology and Data
- Data is formed by making observations. These observations then shape and test theories
- Theories are sets of statements describing how variables relate to each other
- Hypotheses are predictions, specific outcomes of a research that either supports or challenges a theory
Sources of Information
- The most accurate source of information is research information, not personal experience or intuition
Research Versus Personal Experience
- Personal experiences can be inaccurate because they don't have comparison groups, many things are happening at once, and it's impossible to know which factor is responsible for a particular outcome
Research Versus Intuition
- Intuition can be bad information because it's affected by thinking biases.
- Availability heuristics: peoples' thinking will get influenced by what's most readily available to their minds.
- Present/present bias: what's present is easier to notice than what's absent, even if not relevant
- Confirmation bias: actively seeking out information that confirms a hypothesis and ignoring contrary information
- Bias blind spot: people underestimate their own biases
- Unreliable: some sources of information may be inaccurate
Finding & Reading Research
- Empirical journal articles report new research findings.
- Review journal articles summarize existing research in an area.
- Books and edited books contain chapters on common topics written by experts
Claims and Validities
- Claims are arguments or statements
- Frequency claims describe a rate or degree of a single variable
- Association claims describe the relationship between two variables (measured for correlation)
- Causal claims describe one variable as causing the other
- Construct validity = asks how well a conceptual variable is operationalized
- External validity = asks if results are generalisable to a larger population.
- Statistical validity = asks if the data supports the claim, how strong the relationship and how precise the estimate is (confidence intervals)
- Internal validity = asks if there are any alternative explanations for the relationship between the two variables
Construct, Conceptual, and Operational Definitions
- Construct: abstract variable, part of a theory.
- Conceptual definition: a variable precisely described
- Operational definition = the specific way a concept is measured or manipulated in an actual study
Types of Variables
- Constant: one level
- Measured variables: whose level are simply observed and recorded
- Manipulated variables: whose levels the researcher controls
Measuring Variables
- Self-report: participants' answers to questions about themselves
- Observational: recording observable behaviors
- Physiological: biological data (ie: heart rate)
Validity and Reliability of Measures
- Validity = does the measure measure what it's supposed to measure? (ex: face validity, content validity, criterion validity, convergent validity, discriminant validity)
- Reliability = how precise are the measurements? (ex: test-retest reliability, interrater reliability, internal reliability)
- Measuring reliability:
- Test-retest: how consistent scores are over time
- Interrater: how consistent scores are between different raters
- Internal consistency: how consistent scores are within the measure itself
Claims and Validity (Frequency, Association, Causal)
- Frequency claims: describe a rate of a degree of a particular variable in a population (ex: rate of teen texting while driving)
- Association claims: argue that one level of a variable is likely to be associated with a particular level of another variable, sometimes correlational
- Causal claims: one variable causes a second variable, requiring experimental research
The Three Claims and Four Validities
- Frequency claims (external + statistical)
- Association claims (construct + external + statistical)
- Causal claims (construct + statistical + internal + external)
Types of Correlations
- Positive association: variables go in the same direction
- Negative association: variable changes in opposite directions
- Zero association: variables do not change together
Causality
- Causation needs three factors:
- Covariance: the two variables change together.
- Temporal precedence: the causal variable comes before the effect variable.
- Internal validity: no alternative explanations for the relationship
Interrogating Causality
- Interrogating construct validity:
- How well were the variables measured or manipulated?
- Interrogating external validity:
- To whom can the association be generalized?
- Interrogating statistical validity:
- How well do the data support the claim?
- Interrogating internal validity:
- Are there alternative explanations for the results?
- 3rd variable explanations
- Spurious associations
- Moderators
- Curvilinear association
Experimental Design
- Manipulation of an independent variable to observe effects on the dependent variable
- Control variables are held constant
- Comparison group: a group not exposed to the experimental manipulation
- Treatment group: group exposed to the manipulation
- Participants should be randomly assigned
Internal Validity Threats
- A confounding variable obscures the true effect of the independent variable, ex: maturation threat, history threat, attrition threat, instrumentation threat, testing threat, selection-history, selection-attrition, design confound, order effect, observer bias
Independent Variables
- Manipulated: the variable the experimenter has control over, and is changing
- Measured: a variable that is observed, and can't be changed by the experimenter
Relationships Between Variables
- Positive relationship= both variables move in the same direction
- Negative relationship = variables move in opposite directions
- Curvilinear relationship means not linear and not necessarily causal
Quasi-Experiments
- Quasi experiments have characteristics of an experiment without using random assignment
- Types: non-equivalent control group design, interrupted time-series design, nonequivalent control group interrupted time-series design
Dealing with Confounds
- Subtracting it out (ex: placebo)
- Taking it out (removing confounds)
- Checking it out by investigating the effects
Power and Null Effects
- Power = the likelihood that a researcher will find a statistically significant, and reliable effect when there is a real effect of an IV on a DV
- Null effects are when the independent variable doesn't have an effect on the dependent variable; this could be because the effect size is too small or there's too much variability within groups
Experiments with More Than One Independent Variable
- Main effect: the effect of one independent variable on the dependent variable (ignoring other variables), ex: how different lighting levels affect test performance
- Interaction effect: the effect of one independent variable on the dependant variable depends (or interacts) with the level of another, ex: the effect of different lighting levels on test performance depends on the type of task.
Small-N Designs
- Small-N designs involve just a few individuals allowing researchers to study behaviors that don't generalise to the general population
- Types: stable-baseline design, multiple-baseline design, reversal design
Ethical Issues and Research Design
- Researchers need to consider the potential for negative ethical consequences of their research.
- Deception and Data fabrication:
- Researchers should avoid deceiving participants unless absolutely necessary; participants should be debriefed.
- Data fabrication is a severe ethical violation.
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Description
Test your understanding of deception in psychological studies and the ethical requirements researchers must adhere to after conducting such research. This quiz covers key concepts such as the theory-data cycle, the importance of good theories, and the role of debriefing in studies. Prepare to deepen your knowledge of research methodology in psychology.