Saturation
Justice
Crossover design
Bracketing
Example of ratio measurement
Reflexivity
Confounding variables
Blinding
Reliability
Example of ordinal level of measurement
Triangulation
Validity
Homogeneity
Example of nominal level measurement
Emergent design
Example of interval level of measurement
Phenomenology
Quasi experimental
P<.05
Snowball sampling
Attrition
Generalizability
Anonymity
Bias
The degree to which an instrument measures what it says it does
IQ scale
Exposing participants to the experiment and the control condition
Considered statistically significant for most research studies
Scrutinizing values that could affect data collection
Focuses on the lived experience of humans
The extent to which study findings can be applied to other people
lacks control group or randomization
Influence that distorts study results
Restricting participants so they are similar in characteristics
The study is developed as it unfolds, and changes along the way
Having one participant inform the researcher of others that may be interested
Blocking a researcher or participants awareness of a portion of the study
The ethical principal that included a right to fair treatment
Collecting data until more information will not add to the knowledge base
Researcher keeping their pre conceived views in check
Independence of activities of daily living, from dependent to independent
Patients weight
Male/female
Even the researcher does not know participants identity
Use of multiple methods to draw conclusions
Things that can also influence study results, which are usually accounted for in a study
Loss of participants over time
The measurement is stable across time
