Sampling and Collecting Quantitative and Qualitative Data
Probability sampling represents the best strategy for selecting research participants
There are many ways of gathering information from a population using the qualitative or the quantitative approaches. Probability sampling is indeed the best strategy that a researcher can use to select participants from a population. There are many reasons to support this position as below discussed. Probability sampling can be understood as the sampling technique that takes a small sample from larger populations using one of the methods under the probability theories. In order for a participant to be selected a random method of selection must be used. The most fundamental requirement in probability sampling is ensuring that every person in the population has an equal and known likelihood of being selected. For instance, where a sample of 10 people is to be selected from a population of 100 people every person in that population would have a 1/10 chance of being selected. With probability sampling a researcher has the best opportunity of coming up with a sample size that truly reflects the entire population.
Statistical theory is applied in probability sampling for random sample selection. From the selected sample the researcher predicts that the entire population would have a similar response. The beauty of probability sampling is in its simplicity. Samples are selected in a fashion that allows every member in a population an equal opportunity of selection. With randomization...
Nursing Research Analyzing Qualitative Data Qualitative data, which usually consists of narrative materials (Polit & Beck, 2008, p. 507), is analyzed by three major styles. Template analysis involves development of a guide to which gathered data is applied and adjustment of the guide as more data is applied. This method tends to be interpretive rather than statistical. Editing analysis involves interpretation of data for "meaningful segments," then development of a category scheme
This numerical data always involves judgments what the number means. For this reason, Trochim concludes that quantitative and qualitative data are virtually inseparable, since "(n) exists in a vacuum or can be considered totally devoid of the other." Ferch (1998) also explores the difference between quantitative and qualitative research. He notes that q) uantitative research is objective; qualitative research is subjective. Quantitative research seeks explanatory laws; qualitative research aims at in-depth
On the other hand, qualitative research is process oriented and usually seeks the methods by which individuals draw certain conclusions about the information under scrutiny. It is more aligned with studies on social systems that have numerous variables and properties. There would be a search for "chain" sequences that lead to events. Criterion five, Sampling, as previously stated has very different emphasis in either of these methods. In quantitative analysis,
Qualitative vs. Quantitative Social science sometimes debates differences between quantitative and qualitative. On one side, positivists argue quantitative research is objective and measurable where post-positivists argue qualitative analysis allows for a rich understanding of the situation. Although qualitative and quantitative research differ in the techniques, types of data and ethical concerns, they both have their place in psychology. Let us begin by exploring the realm of quantitative research and then move
mixed research approach would work best. It could be argued that such an approach is usually the best methodology to use, because the mixed research approach allows for speculation and analyzing using more than just the numbers. One recent study determined that the "the combining or mixing of qualitative and quantitative methodologies is not a new or unique phenomenon" (Frels, Onwuegbuzie, 2012, p. 184). The same study found that
ERP Implementation Approach The study collects data from 5 business units of the company. The data collection method is through both qualitative and quantitative data analysis, and the study collects data to enhance greater understanding of the ERP implementation approach carried out by the company. As being discussed previously, the methodology used to collect data is through qualitative and quantitative approach, and the study collects data from the following business units: Accounting
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