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