Author Question: Although sampling errors tend to decrease with sample size, non-sampling errors tend to increase ... (Read 190 times)

corkyiscool3328 · **on:** Jun 29, 2018

Although sampling errors tend to decrease with sample size, non-sampling errors tend to increase with sample size.

Indicate whether the statement is true or false

Question 2

Compare and contrast qualitative research and quantitative research and discuss situations in which qualitative research is useful.

zacnyjessica · **Reply #1 on:** Jun 29, 2018

Answer to Question 1

T
non-sampling errors normally increase with sample size, especially non-sampling errors that create a bias in all of the data.

Answer to Question 2

Qualitative business research is research that addresses business objectives through techniques that allow the researcher to provide elaborate interpretations of phenomena without depending on numerical measurement. Its focus is on discovering true inner meanings and new insights. It is less structured than most quantitative approaches and does not rely on self-response questionnaires containing structured response formats. Instead, it is more researcher-dependent in that the researcher must extract meaning from unstructured responses such as text from a recorded interview or a collage representing the meaning of some experience. The researcher interprets the data to extract its meaning and converts it to information. Qualitative research is useful when:
(1) it is difficult to develop specific and actionable decision statements or research objectives;
(2 )the research objective is to develop an understanding of some phenomena in greater detail and in much depth;
(3) the research objective is to learn how a phenomenon occurs in its natural setting or to learn how to express some concept in colloquial terms;
(4) some behavior the researcher is studying is particularly context-dependent; or
(5) when the researcher needs a fresh approach.

Quantitative business research can be defined as business research that addresses research objectives through empirical assessments that involve numerical measurement and analysis approaches. It is more apt to stand on its own in the sense that it requires less interpretation.