Demographics and Generalizability

Related BrainMass Solutions

• Generalizability of research findings

  The demographics of the sample population must be such that they do reflect the general population if the same criteria is to be applied there.

• External and Internal Validity Characteristics

  Non-random samples are not truly representative and therefore impact outcomes with regard to generalizability.

• Generalizability - Research Methods

  Under this model, we begin by thinking about different generalizability contexts and developing a theory about which contexts are more like our study and which are less so.

• Comparison and Contrast of a Qualitative and Quantitative Study

  Reliability and validity (rigor)- was the reliability of the instruments addressed? Was the validity of the instruments addressed? 6. Generalizability of findings- were they any threats to external validity, or generalizability?

• Compare naturalistic observation & correlational research

  Include in your discussion the research techniques, reliability and validity, generalizability, strengths and weaknesses of your choices.

• Why statistical tests are needed in research

  Discuss why these tests are needed and how they relate to the concepts of sampling error and generalizability. Please include resources to support your discussion.

• Program evaluation for addictions and teens

  v)Ethical and Cultural considerations: -based on this sample size and the demographics of our respondents, we need to consider that the population was predominantly, middle -class and came from cultural groups such as Asians, Hispanics, and White Americans

• Why Hard Nosed Executives Should Care About Management Theory

  As noted, all the incentives for researchers involve pushing the range of generalizability as far as plausible and perhaps sometimes farther.

• Aptitude and Interest Assessments

  Then explain how the test reviews of the aptitude or interest assessment compare to the general assessment standards (operational definition of terms, norming methods, reliability, validity, measures of error, and generalizability).