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statistical significance testing
Communicates probability by telling us how likely the current result would be if the study’s null hypothesis were true. Do we think something happened?
random sampling error
The natural deviations that occur when randomly sampling from the population
bias
Flawed sampling procedures whereby the researcher does not use a representative sample
central limit theorem
For a sufficiently large sample size, the distribution of the sample mean becomes approximately normal with mean and variance regardless of the population’s original distribution.
mean of the population
In the central limit theorem, the mean of the sampling distribution becomes equal to the…
statistical significance testing
This helps quantify whether a result is due to chance or due to some factor of interest
type 1 error
When the researcher concludes the intervention worked, but it didn’t (false positive)
type 2 error
When the researcher concludes the intervention did not work, but it actually did (false negative)
power
The ability of the test to correctly reject a null hypothesis when it is false
p-value
A ____ less than or equal to alpha is statistically significant you reject the null hypothesis, or if it is greater you fail to reject the null hypothesis
sample size manipulation
Statistical significance testing is vulnerable to…
power analysis
A tool that helps researchers design studies that are large enough to detect meaningful effects, but not so large that small changes seem significant
effect sizes
Communicates strength by telling us the magnitude of the experimental effect, or the relationship/odds between variables. How big or small was the effect or relationship?
confidence intervals
Communicates precision by providing a range of plausible values for the population parameter being estimated. How sure are we about our finding?
cohen’s d or hedges’ g
These two estimate the magnitude of standardized differences between two groups means.
hedge’s g
This is more appropriate for small sample sizes than Cohen’s d because it provides a bias correction.
pearson’s r or point-biserial
Used to measure the effect size of a correlation or association (2)
pearson’s r
This measures the strength of a linear relationship between continuous variables
point-biserial
This correlation measures the strength between one dichotomous and one continuous variable
relative risk and odds ratio
Used to measure the effect size of a proportion (2)
-1, 1, 0
For pearson’s r and point-biserial, scores range from ___ to ___. A ___ indicates no effect
-2, 2, 0
For Cohen’s d and Hedges’ g, scores typically range from to with _ indicating no effect
0, infinity, 1
For relative risk and odds ratio, scores range from ___ to ___ and a score of __ indicates no effect
confidence interval
Refers to the range of expected values of your estimate (usually your effect size) if you re-ran your experiment with a different sample
true
True or false: if a confidence interval includes the no effect value, we can’t confidently conclude that the effect in our sample is that same as in the population
ethnography
Anthropologic approach whereby the researcher immerses themselves in the environment of their subjects to observe and interact with them to understand their culture, behaviors, and social interactions
grounded-theory
A systematic approach where the researcher constructs theories through methodical gathering and analysis of data
case-study
Involves an in-depth exploration of a single case or a small number of cases within their real-life context
phenomology
Seeks to understand the essence and meaning of lived experiences from the perspective of those who experienced them
narrative
Focuses on understanding how people make sense of their experiences and construct their identities through storytelling
action-oriented
Participatory and collaborative approach whereby the researcher works with participants to identify issues and implement solutions to bring about change through the research process
credibility
Confidence in the truth of the findings
transferability
Showing that the findings have applicability in other contexts
dependability
Showing that the findings are consistent and could be repeated
confirmability
A degree of neutrality or the extent to which the findings of a study are shaped by the respondents and not researcher bias, motivation, or interest
construct vadility
Dependability is analogous to
external validity
Transferability is analogous to
internal validity
Credibility is analogous to
triangulation
Using multiple sources, methods, or researchers to cross-check findings and reduce bias
member checking
Allows participants to review preliminary findings to confirm they accurately reflect their experience
thick description
Involves providing rich, detailed contextual information so readers can assess whether findings apply to other settings
audit trail
Keeping detailed records of research decisions, data collection, coding, and analysis for transparency
reflexivity
The process of acknowledging and reflecting on the researcher’s biases, experiences, and potential influence on the study
prolonged engagement
Spending enough time int he research setting to build trust and gain deeper insights
peer debriefing
Sharing findings with colleagues or external experts for critical feedback
negative case
Involves actively searching for data that contradicts emerging themes to refine interpretations
focus group
A guided discussion among 5-8 participants that explores shared experiences or opinions on a topic whereby the social dynamic among the participants can surface new perspectives
moderator
Encourages quiet participants and manages dominate ones, speaks less than 5% of the time, and uses open-ended prompts
Nuremberg Code of 1947
Ten protections for participants of research studies established after World War II (no one was actually legally required to follow them at the time)
The Tuskegee experiment
Conducted by the US Public Health Service. Sharecroppers were not told that they had syphilis and were not given treatment even when it became available
National Research Act
Established a commission to identify basic ethical principles necessary for human subject research. Established IRBs
The Belmont Report
Respect for persons, beneficence, justice
respect for persons
People are autonomous and can decide what happens to them. If they aren’t fully capable, they need extra protection
beneficence
Maximize benefits, minimize harm
justice
Be fair in how you select research subjects. Don’t exploit certain groups just because it’s easier or cheaper
exempt
If the study is lowest risk and anonymous, then it is this type of IRB review
expedited
If the study is minimal risk and not anonymous, then it is this type of IRB review
full board (committee)
If the study is more than minimal risk and not anonymous, then it is this type of IRB review
informed consent
Process by which a participant voluntarily agrees to take part in a study after being fully informed about all aspects of the research that are relevant to their decision
minimizing harm
Requires researchers to reduce, prevent, and manage any potential physical, psychological, social, legal, or economic risks to participants as much as possible
anonymity and confidentiality
Protecting participants’ privacy
anonymity
Identities are completely unknown and untraceable
confidentiality
Identities are known to the researcher but kept private and secure
avoiding deception
Being honest with participants by not misleading them about the purpose, procedures, or nature of the study, unless absolutely necessary and ethically justified
right to withdraw
Participants can leave a study at any time, without penalty or negative consequences, and can request that their data be removed
ordinal
When interval/ratio data violate assumptions, they are generally treated as _____ data for non-parametric testing