Data And Methods Description

This paper primarily concerns qualitative research, but we were asked to compare both qualitative and quantitative methods. During comparison, there are many noted differences in both study designs, but not many similarities. Qualitative research uses a subjective approach with a large sample population. It collects non-statistical data, using an unstructured or semi-structured technique (Nieswiadomy & Bailey, 2018). Quantitative research uses an objective approach and large, random, sampling to ask opinions in a structured way. The findings of quantitative studies are conclusive and used to recommend a final course of action (Nieswiadomy & Bailey, 2018). While it is hard to see similarities between the two, both methods aim to find a solution to a problem or question, the researcher doing the study may affect the outcome and an analysis of the collected data must be done (Souza, 2017). What many don’t realize is the connection amongst the two. You can say, both types of research build upon one another, meaning quantitative studies can quantify results found in qualitative research (Souza, 2017).

Topics Distribution of the sample mean. Central Limit Theorem. Confidence intervals for a population mean. Confidence intervals for a population proportion. Sample size for a given confidence level and margin of error (proportions). Poll articles. Hypotheses tests for a mean, and differences in means (independent and paired samples). Sample size and power of a test. Type I and Type II errors. You will be given a table of normal probabilities. You may wish to be familiar with the follow formulae and their application.

The margin of error is 2%, “that is the amount of error that the CEO finds acceptable for him” (The Importance and Effect of Sample Size) (2016). If 90% of the people that were surveyed said yes, and 10% answer no, the CEO tolerance level for error might be able to be increased the it being 50/50. The confidence level that is trying to be reached by the CEO is 95.44. The confidence level is the doubt the CEO will tolerate. Let’s say the CEO has 30 yes or no questions on his survey. Having a confidence level of 95%,

Researchers often times are faced with the decision of choosing a methodology of research; either Quantitative or Qualitative that they think best fits their study and objectives. This choice is guarded by the topic of study, the advantages and disadvantages, and the strengths and weaknesses of using either one or the other type of the methodologies.

According to Yilmaz (2013) there exist two significant approaches to research with respect to studying the social and individual world. According to Creswell (2014) three types of design quantitative, qualitative, and mixed methods should remain in consideration when choosing a research designs at the start of the process. The two methods exist a quantitative and

Creswell, J. (2009). Research Design: Qualitative, quantitative, and mixed methods approaches. (3rd ed). Thousand Oaks, CA: SAGE Publications.

0.548 employees and not pass the random drug test. Yes I can conclude that less than 5 percent of the employees are not able to pass the random drug test

This study will implement a mixed methods design to include both quantitative and qualitative methods.

Sample Size: This investigation consisted of two trials, each with 4 different data points (25%, 50%, 75%, and 100%), giving a total sample size of 8. As illustrated in graph 1, this was adequate enough to support the hypothesis and theory of the investigation. Furthermore, the sample size enabled an average to be calculated, which ultimately minimises the effects of any outliers.

how reliable a set of data is, based off the amount of error in the results.

Statistical uncertainty, which is errors due to measurement or calculation mistakes, is balanced out by the large amount of data, which is less significant comparing to the systematic uncertainty of the

Quantitative and qualitative research styles will both be used to increase the validity of the study, Parahoo (2006) agrees with this and describes this method as triangulation, incorporating a positivist approach. De Poy and Gitlin (2011) and Bryman (2012) agree with this and express that using a mixed methods approach gives a further comprehensive knowledge of the research method and conjoining the two can complement each other. Furthermore, Larkin et al (2014) state that the intention of mixed methods research is to improve confidence in findings, increase understanding in healthcare and ensure all groups in society are listened to. Moreover, Gelling, L (2014) found that the use of both approaches makes a great

A mixed methods research design is a procedure for collecting, analyzing, and “mixing” both quantitative and qualitative research and methods in a single study to understand a research problem.

When both research designs are used together, more information can be gathered. Mixed methodology uses the numerical portion of the quantitative study design in combination with the descriptive aspect of the qualitative study. There are many similarities between these two designs, which make them compatible with each other.

Quantitative research is considered to be the use of numbers. In the use of a quantitative study, the researcher test objective theories by examining the conjunction among variables. The variables used can be measured on instruments, so that numbered data can be used and analyzed (Creswell, 2008). Qualitative research is mainly used to explore and understand human or social problems. The process of qualitative studies includes questions and procedures; and the data is collected byway of participant’s settings. It allows the researcher to study an issue in great detail and depth, as well as not allowing data collection to be constrained by predetermined data. Mixed methods research combines quantitative and qualitative methods and it involves philosophical assumptions. This form of study includes collecting and analyzing data from a quantitative and qualitative perspective. It is believed that mixed methods research is a great method for practicing researchers who would like to bridge the schism between quantitative and qualitative research (Onwuegbuzie & Leech, 2004a). Even though these methods are different, they all involve philosophical assumptions and distinct methods or procedures (Cresswell, 2009).