How does sample representativeness affect the generalizability of a study?
4 only findings from a representative sample are automatically generalizable to the population; 5 (therefore) representativeness leads to generalizability; 6 if research is not carried out on a representative sample, its findings are not generalizable; 7 findings of qualitative researchers are not generalizable.
What determines generalizability in research?
Very simply, generalizability is a measure of how useful the results of a study are for a broader group of people or situations. If the results of a study are broadly applicable to many different types of people or situations, the study is said to have good generalizability.
Are RCT generalizable?
Conclusions: The findings of randomized controlled trials (RCTs) for substance use disorder treatment do not appear to be directly generalizable to target populations when the RCT samples do not reflect adequately the target populations and there is treatment effect heterogeneity across patient subgroups.
How do you ensure generalizability in research?
To increase our confidence in the generalizability of the study, it would have to be repeated with the same exercise program but with different providers in different settings (either worksites or countries) and yield the same results.
Why is Generalisability important in research?
Establishing study boundaries and conducting “population-based” research within them enhances both internal validity and the likelihood that results may apply to similar and dissimilar groups.
What does Generalisability mean?
Generalisability is the extent to which the findings of a study can be applicable to other settings. It is also known as external validity. Generalisability requires internal validity as well as a judgement on whether the findings of a study are applicable to a particular group.
What is validity and reliability in quantitative research?
Validity is defined as the extent to which a concept is accurately measured in a quantitative study. The second measure of quality in a quantitative study is reliability, or the accuracy of an instrument.
What does triangulation mean in research?
Triangulation refers to the use of multiple methods or data sources in qualitative research to develop a comprehensive understanding of phenomena (Patton, 1999). Triangulation also has been viewed as a qualitative research strategy to test validity through the convergence of information from different sources.
Why is triangulation important in research?
Triangulation facilitates validation of data through cross verification from more than two sources. It tests the consistency of findings obtained through different instruments and increases the chance to control, or at least assess, some of the threats or multiple causes influencing our results.
What is the most important objective of triangulation in qualitative research?
Purpose. The purpose of triangulation in qualitative research is to increase the credibility and validity of the results. Several scholars have aimed to define triangulation throughout the years.
What are the four types of triangulation?
In 1978, Norman Denzin identified four basic types of triangulation: (1) data triangulation: the use of multiple data sources in a single study; (2) investigator triangulation: the use of multiple investigators/research- ers to study a particular phenomenon; (3) theory triangulation: the use of multiple perspectives to …
Which is the best example of triangulation in data gathering?
There are four common forms of triangulation: (1) data triangulation means that the ethnographer uses a variety of data sources for the study, for example, a range of different informants; (2) method triangulation means the use of multiple methods in the same project (Janesick, 1998), for example, interviews and …
What is triangulation problem?
The triangulation problem is in principle trivial. Since each point in an image corresponds to a line in 3D space, all points on the line in 3D are projected to the point in the image. The problem, then, is to find a 3D point which optimally fits the measured image points.
What is narcissistic triangulation?
With narcissistic triangulation, one-on-one conversations or disagreements might quickly become two-against-one situations. You might suddenly find yourself left out, your protests ignored and overruled. This manipulation tactic can leave you feeling off-balanced, if not more deeply distressed.