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Chapters 1, 4, 5, and 6
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Empiricism
The idea that scientific knowledge should rely on observation and experimentation (uses verifiable evidence)
Falsifiability
Important aspect of a study where it is possible to collect data that proves the theory wrong
Universalism
One scientific norm that scientific claims are not evaluated by culture, reputation, etc. and that the claims find universal truths
Communality
One scientific norm where scientific knowledge is shared and created by a community, therefore that knowledge belongs to the community
Disinterestedness
A scientific norm where scientists are not swayed by personal interests (politics, idealism, profit, etc.) but strive to discover the truth
Organized skepticism
Scientific norm where scientists question EVERYTHING, including their own ideas
Quantitative method
Collecting empirical data as numbers
Qualitative method
Collecting empirical data with in-depth descriptions
Empiricist
Bases one’s conclusions on systematic observations
Reflexivity
Considering how one’s background, values, privileges, and biases shape their research and questions
Respect for persons
Individuals should be treated as autonomous agents and special protection for those with less autonomy
Informed consent
Participants must know the risks and conditions before deciding to participate
Beneficence
Researchers must protect participants from harm and promote their well-being
Justice
Calls for fair balance between kinds of people participating in research and those benefitting from it
Institutional Review Board
Committee responsible for ensuring research is conducted ethically
Data fabrication
inventing data to fit the hypothesis
data falsification
researchers influence results
Replacement
Researches should find alternatives to animals if possible
Refinement
Modify procedures to minimize stress
Reduction
Researchers should reduce the amount of animals used
Deception by omission
neglecting to perform an action, causing harm
Deception by commission
Performing a harmful action
Transparency
Clarity and detail in which methods and findings are reported (reporting results of how hypotheses are tested, stating variables involved, showing the “what” and “how”)
Openness
Willingness to share research materials and data with others (show raw data and analysis scripts, allow study replication, focuses on accessibility and sharing)
Belmont Report
Foundational document for US ethics that establishes 3 ethical principles for human subject research (respect for persons, informed consent, and beneficence)
Suvey/poll
method of posing questions to people on the telephone, in interviews, questionnaires, or interned
Forced-choice questions
questions where people pick the best of two options
Likert Scale
Options range from strongly agree to strongly disagree
Semantic differential format
Options range from 1-5
Leading questions
Wording leads to a certain response
Double-barreled questions
Asking two questions in one
Negatively worded questions
Ex. “Does it seem IMPOSSIBLE that ______ NEVER happened?”
Response sets
Shortcut respondents use when answering (ex. answering all positive or all negative)
Acquiescence
Saying all “yes” or “strongly agree”
Fence-sitting
answering in the middle for each question
Observational research
watching and systematically recording how they behave
Observer bias
observer’s expectations influence the interpretation of participant behaviors or study outcome
Observer effects
Participant behavior changes to match observer behavior
Masked/blind designs
Observers are unaware of the experimental conditions assigned to participants
Reactivity
A change in behavior when study participants realize someone is watching
Unobstrusive observation
Observations made when someone is hidden
Participant observation
Observation where 1+ researchers live among the population they are studying
Informants
Expert in a topic in qualitative research
Fidelity
Maintaining confidentiality, respecting the client’s privacy, and remaining honest
Responsibility
Taking accountability for one’s actions and adhering to ethical standards
Integrity
Being accurate and honest in your work
Validation studies
Tests the psychometric properties of a variable
r value
describes the relationship between 2 numeric variables (closer to 1 or -1 indicates a strong relationship, 0 indicates a weaker one)
p value
Shows statistical significance and probability
Test retest reliability
The correlation between scores when a measure is done 2+ times
Internal reliability
Correlation between individual items on a measure
Inter-rater reliablity
Correlation of ratings given by 2+ coders
Face validity
If a measure is considered to be a plausible operationalization of conceptual variable (does it look like it’s measuring what it’s supposed to?
Content Validity
Extent to which a measure captures all parts of a defined construct
Criterion Validity
Evaluates whether the measure under consideration is associated with (can predict) a concrete behavioral outcome that it should be according to the conceptual definition
Known-Groups Paradigm
Researchers test 2+ groups known to differ on variable of interest to ensure scoring differently
Convergent Validity
test of how much a self-report measure correlates with other measures of theoretically similar construct
Discrimnant validity
Tests how much a self-report measure doesn’t correlate with other measures of theoretically similar construct
Construct validity
how well a study’s variables are measured or manipulated
Operationalization
process of turning a construct of interest into a measured/manipulated variable
Conceptual definition
Definition of variable at theoretical level
Operational definition
Represents the researcher’s decision about how to measure/manipulate conceptual variable for study
Self-report measure
Operationalizes variable using questionaire or interview
Observational measure
Operationalizes variable using questionnaire or interview
Observational measure
Operationalizes variable by recording observational behaviors
Physiological measure
Operationalizes variable by recording biological data
Categorical variable
Non-numerical data, in a category
Quantitative variable
Variables made up of numerical data
Ordinal
Numerals represent a ranked order (#1 book, #2 book, etc.)
Interval
2 conditions: equal intervals and no true 0
Ratio
Equal intervals and a value where 0=none
Reliability
How consistent results of a measure are
Validity
Whether it’s actually measuring the construct it’s supposed to
Average Interitem Correlation (AIC)
Average of all correlations
Cronbach’s alpha (a)
Combines AIC and # items in the scale (researchers usually look for 0.8 or higher)