Quantitative Research

Quantitative Research



Quantitativeresearch is empirical investigation employed to study an observablephenomenon using statistical, mathematical or arithmeticcomputations. It is aimed at developing conclusions of mathematicalmodel or hypothesis that pertains to the phenomenon under study.Therefore, measurement in quantitative is a primary requirementbecause it is a link that determines the empirical observation andthe mathematical conclusions of the study. The research usesquantitative data which is data in the form of numerical includingstatistics and percentages. Basic statistical tools are used toanalyze the data with the hope that the findings can be used toprovide a generalized opinion about the nature of the wholepopulation.

Protectionof Human Participants

Protectionof human participants in a quantitative research is paramount becauseit increase credibility and at the same time reducing ethical andlegal issues. Considerable progress has been initiated in clinicalhealthcare research in the recent years to ensure that the procedureinclude a substantive measure that ensure ethical issues have beenobserved. In the 70`s and 80`s, bioethical related issues emanatingfrom the clinical research were neglected, hence, numerous scandals.Participants are supposed to be assured that their privacy rightwould be protected by the research team. Unless otherwise authorized,names of participants should not be mentioned in the research reportfindings. Voluntary participation should be used to procureparticipants with a written consent. Periods, when patients wereinvoluntary used for medical research, are gone. Lastly, participantsof these studies are supposed to be informed of any side effect ordanger that may come as a result of engaging in the study. This is toincrease credibility and transparency of the research for both theteam and the voluntary participants (Brink,Van der Walt &amp Van Rensburg, 2006).


Acollection of data for a research study is the most critical process.This is because the accuracy of the findings, recommendations andconclusions is depended on the data collected. For quantitativeresearch, numerical figures are used to make conclusions applicableto the whole population.As a result, the method of data collection isa decision that should be careful done to avoid collection ofirrelevant data that would give unreliable assumptions. Datacollection methods that can be used in quantitative research includebut not limited to observation, Interview, sampling, questionnaires,scales and physiological measurement. However, each method isappropriate depending on the phenomenon or case study. An interviewcan be applicable in one situation but not in others. The researchteam, therefore, has to define the requirements appropriately todetermine the most convenient data collection method. There is nouniversally recommended data collection method because all researchrequirements have their dynamics that are materially different. Thebest method would be the decision of the team in the best interest ofthe research (Holloway,2005).

DataManagement and Analysis

Afterdata has been collected, that does not guarantee that the researchfinding would be accurate. Raw data must be synthesized to present aformidable conclusion about the nature of the case under study.Quantitative research uses numerical to find a conclusion about thephenomenon. Management of findings from the data collection point isalso another important issue researchers ought to consider. In someevents, discrepancies have been observed between the figures recordedat the collection point and those present during the analysis stage.Use of an online system that simultaneously record data at the fieldand Research Center is recommendable because it can reduce theanomalies. Data recording and preservation method should ensureoriginality is maintained. Analysis of numerical data can use basicstatistical tools used in statistics. Depending on the definedproblem, the analysis could be used to determine trend, numbers,correlations and others. The method used should be supportive of theproblem statement (Taylor,Kermode, Roberts &amp Roberts, 2006).


Problemstatement entails the central reason that led the team carry out thequantitative research. Therefore, problems need to be defined clearlyand precisely before the research plan has been formulated. Clearlydefined problem statement is important because it ease the otherprocesses in the research study. Before drafting a problem statement,the team has to understand the problem at hand in depth. All thereasons that led the team call for the research case study should beincluded in the research. Avoid stating problems that are confusingand ambiguous should be avoided and instead, the problem should bedefinite and straightforward. Planning for a quantitative researchstudy depends on the stated problems. Also, the method of datacollection, data management, and interpretation is determined by theextent of the problem. Starting a confusing problem can mislead theteam to set inappropriate data collection and management methods.Problem definition is a process that determines all the relevantdecisions expected to be followed in a research procedure. Thestrength, accuracy and reliability of a quantitative research aredepended on the accuracy of data. A problem may exist, but failure toclearly define it may lead to confusion and similarly misleadingconclusions (Vogt,2007).

Interpretationof Findings

Conductinga clinical research study is aimed at providing evidence for someinferred phenomenon or other assumptions. That is why the accuracy ofdata for this noble process in a healthcare profession is important.Data is analyzed after collection using appropriate tools determinedby the research team. The analysis tools, as earlier along indicated,is dependent on the problem statement and type of data. The researchfinding is the most important because it can be used to determine theposition of the team concerning the inferred hypothesis or the trendsabout a perceived phenomenon. Interpreting quantitative researchfinding is mainly dependent on other objective data. These findingsare compared with other data or the hypothesis in the problemstatement. From there, the team is in a position to make a concreteconclusion backed up with evidence from research. These otherfindings that can be used for comparisons include data fromhealthcare organizations and data from other countries. Interpretingthe findings should be directed towards answering the questionsstated in the problem statement (Pope &amp Mays, 2013).


Quantitativeresearch is research that use numerical from a phenomenon to providea general and applicable situation of the whole population. The casestudy problem definition is perhaps the first stage. Data collectionmethod is the next stage and calls for accuracy to provideappropriate facts. Management of the collected data is important forthe credibility and accuracy of the collected data. Basic statisticaland computation tools are used to analyze data for a quantitativeresearch study. The interpretation of the findings of thequantitative research is supposed to be directed towards providing adirection of the stated questions in the problem statement.Quantitative research is a procedural process, and decision makingfor each step is depended on the dynamic needs of the case study.


Brink,H., Van der Walt, C., &amp Van Rensburg, G. (2006). Fundamentalsof research methodology for health care professionals.Cape Town: Juta.

Holloway,I. (2005). Qualitativeresearch in health care.Maidenhead, England: Open University Press.

Pope,C., &amp Mays, N. (2013). QualitativeResearch in Health Care.New York, NY: John Wiley &amp Sons.

Taylor,B., Kermode, S., Roberts, K., &amp Roberts, K. (2006). Researchin nursing and health care.South Melbourne, Vic., Australia: Thomson.

Vogt,W. (2007). Quantitativeresearch methods for professionals.Boston, MA: Pearson/Allyn and Bacon.