Table of contentsQuantitative research designsDescriptive researchCorrelational researchExperimental researchConclusionAccording to Vaus (2001), the function of a research design is to ensure that the evidence obtained allow a researcher to answer the initial question as clearly as possible. He gives commissions and systematizes research. The method you choose will affect your solvent and how you conclude the results (Kothari, 2014). Most scientists want to obtain reliable observations that can help understand a phenomenon. Selecting the correct type among the different research methods can be a little daunting at first (Kothari, 2014). According to Kumar (1996), there are so many genes to consider and evaluate. This is before examining the required statistics and going through the preferred method for each scientific discipline. For different disciplines, there can be a huge shift in research method to choose from, and a researcher will need to justify their choice. Although this is slightly arbitrary, the best way to look at different methods is in terms of sustainability (Kumar, 1996). Say no to plagiarism. Get a tailor-made essay on “Why Violent Video Games Should Not Be Banned”? Get the original essayAccording to Kothari (2014), there are two main attacks to a survey problem: quantitative and qualitative survey approaches. In a nutshell, quantitative survey generates numerical information or information that can be converted into numbers. It focuses more on counting and classifying features and building a statistical model and numbers to explain what is observed (Kothari, 2014). According to Creswell (2013), quantitative research aims to numerically describe a phenomenon of interest (descriptive research), explore relationships between variables (correlational research), or manipulate variables in order to measure their effects (correlational research). experimental). Qualitative research, on the other hand, generates non-numerical data. It focuses on collecting primarily verbal data rather than mensuration. The information collected is then analyzed in an interpretative, subjective, impressionistic or even diagnostic manner (Wikipedia Encyclopedia, 2005). Quantitative inquiry requires the investigation of the skeletal system of a research question based on certain important research designs (Bryman, 21). The first is the unit of analysis which refers to the object or outcome you are listing or measuring, that is, the cases that make up your sample. This can be individual mass (as in a survey), interaction (as in a reflection) or old age (as in a census). Second, a variable is a concept that describes a phenomenon in a way that can be counted or measured (e.g. age, sexuality, IQ, mathematical power, involvement in sports). The variable may be self-employed, meaning it influences, acts on, or causes a change in another variable; or dependent, that is to say that it undergoes an action or is the effect of the previous variable. The third important concept in choosing quantitative research questions is attributes, which refer to the category into which you divide your variable. For example, gender can be “man” and “woman”; age can be “under 20”, “between 20 and XL” and “over 40”; and mathematical abilities could use the results of a psychometric test (Bryman, 2016). According to Creswell (2013), a quantitative research question answersa topic of interest and reformulates it in operational terms, that is, in terms of how you will gather the empirical data that will allow you to test your assumption in order to categorize or describe. the relationship between your variable quantity. Quantitative research requires you to rephrase your research question as a hypothesis. This is your best estimate of the relationship between the variable you will next test (Creswell, 2013).QuantitativeResearch DesignsDescriptive ResearchDescriptive studies are designed to amplify more information about the characteristics of a topic of interest ( Kothari, 2014). In descriptive inquiry, measurable or observable data is collected to perform categorization or description of variables or combinations of variables. These might result in statements such as: “XX percent of female friends between ten and fifteen read for pleasure for more than five hours per work week. » Descriptive level investigation is more appropriate when very little research is available on the topic. Components must be described before they can be tested (Kothari, 2014). According to Fraser Wellness Say-so (2011), descriptive level research includes visual research or case bailiwick methodology. Survey research involves the collection of data, usually through a written survey/questionnaire. Surveys can be either cross-sectional, which involves accumulating data from selected individuals over a single period, or longitudinal, which involves soliciting data on two or more occasions in order to describe changes over time ( Fraser Health Agency, 2011). The determination of survey research is to describe the characteristics, opinions, posture or behavior as they currently exist in a target population. A case study design astutely explores a single actor, chemical group, incident, or residential neighborhood through detailed information time (Fraser Health Say-so, 2011). One of the advantages of research at the descriptive stage is that the investigator is able to collect a large amount of data. of data. However, even though the data are plentiful, they tend to lack sample depth. On the other hand, research in written case reports provides in-depth and rich data, but lacks scope because it is limited to a single person or finding. An important distinction of research on descriptive narratives is that nothing is manipulated or controlled. The phenomena are studied in real situations. Thus, the relationships between cause and problem cannot be determined using this conception. The information is analyzed using descriptive statistics such as absolute frequency, averages and percentage. A hyperkinetic syndrome of descriptive design comparative to the basic descriptive design by allowing two or more groups to be compared on the broker of interest (Kothari, 2014). An example of this view is McAuliffe's (2007) written report on oral examination hygiene. The aim of this investigation was to explore and identify factors that may influence nursing students' oral hygiene practice in hospitalized patients. Broker isolation surveys ask the question “What is it?” » is what McAuliffe is doing here. Only object and object lens, not hypotheses, were used in this study. A survey was used to gather students' perspectives on what Edward Thatch was versus what they practiced in terms of oral hygiene practices. Statisticsdescriptive (percentages) were carried out to meet their objectives. Results indicated that there was an incongruity between what students thought they were being taught and what was actually being taught in class. In addition, the students adopted habits that were not necessarily good thanks to their nanny model within the Seth clinic (McAuliffe, 2007).Correlational researchAccording to Inigo Jones and Bartlett (2011), in a correlational investigation, investigators are interested in the relationship between variable stars s. The researcher asks whether one (the closure variable) is related to or even causes a behavior or reaction in another (the dependent variable). The design ensures the kinship and strength of the relationship between two variable stars. Correlational research is used to solve a relational type investigation. The object lesson of divider doubt might include: "What is the relationship between depression and self-annihilation in adolescents?" or “What is the relationship between the need and the behavioral example?”. However, before these questions can be answered, the factors or variables must be described either through a prior descriptive study or through a synthesis of the published literature (Jones and Bartlett, 2011). If, for example, we were interested in whether boys or girls choose more open-option activities in an early childhood center, we might ask how the independent variable (e.g., sexuality) relates to the phenomenon. of interest (for example, free). -activities of choice in an early childhood center).According to Fraser Wellness Say-so (2011), the advantage of using correlational research is that this method of action provides an assessment of strength and direction of relationship between variable quantities. Correlational studies also provide a basis for experimental studies to follow. The main disadvantage of this model is that no conclusions can be drawn regarding causality, only that there is a relationship between the mental test variables. Predictive studies also convulse at this level and describe the human relationship between prognostic variables and the dependent variable (outcome measure). Data from correlational studies would primarily include descriptive statistics as described above and correlations. For example, correlational analytic thinking would test whether there is a relationship between clinical depression and adolescent suicide, whether it is a positive or negative relationship, and how strong that relationship is ( Fraser Health Agency, 2011). An example of this design is a study by Al-Kandari, VidAL, and Thomas (2008) examining the relationship between a health-promoting spiritual mode and body mountain index among students in Kuwait. The study sample included all 350 nursing students enrolled in the AND program for one semester. The Walker Health-Promoting Lifestyle Questionnaire HPLP-II was administered to assess health-promoting attitudes and behaviors. Pearson correlation was performed to find out the relationship between cutoffs for HPLP-II and body mass index. Results included a significant positive correlation between BMI and level of nursing education. That is, as students progressed through their nursing courses, their BMI increased (Al-Kandari, et al., 2008).Experimental ResearchIn experimental research, the investigator manipulates one or more variables to establish a family relationship of cause and effect between dependent people and variable star mugwump (Inigo Jones &Bartlett, 2011). The researcher learns the independent variable and conditions of the study and randomly assigns treatment to the study subject(s). To be considered experimental level research, there must be random selection and/or random assignment of subjects, control/manipulation of the treatment/intervention, and include a treatment and control chemical group (Jones and Bartlett, 2011). According to Fraser Health Authority (2011), the different types of oddball randomization in experimental research design include simple, blocked cases where treatment numbers corresponding to some equidistant decimal point in the subject allocation sequence are established and stratified where randomization occurs within specified strata (e.g., sex, age groups, disease stage). Another type of randomization is the randomized controlled trial (RCT) in which two or more groups are assigned treatments randomly and a baseline measurement is taken. Finally, there is the Billet -exam Only control group model, in which treatment is randomly assigned to two or more groups and the outcome is measured (Fraser Health Authority, 2011). According to Fraser Health Dominance (2011), another type of experimental investigation is the quasi-experimental innovation which lacks random assignment to study treatment and where the independent variable quantity is only partially under the researcher's control. This design is used to examine the cause and origin of the problem by excluding other plausible explanations (Fraser Health Dominance, 2011). An example of this type of research design is the Pre-test Post-test Military Post-test Uncombined weight Grouping where a math proficiency group and an experimental group are compared, but the groups are formed for convenience (rather than randomization ). Experimental designs are the most difficult to implement because it takes more trouble and money to produce a random sample (Jones and Bartlett, 2011). Additionally, it may not be ethically possible to withhold treatment from the control group, thereby preventing a true experimental design. This research method is one of the most difficult, requiring careful design and significant costs, especially for larger experiments. The other problem, when real organisms are used, is that taking something from its negated environment can seriously affect its behavior (Jones & Bartlett, 2011). An example of an experimental study provided by Hoadley (2009) compared David's event High school and high school - fidelity simulation in advanced cardiac life support (ACLS). This study compared outcomes from two ACLS courses on measures of resuscitation knowledge and skills. One of the four hypotheses was: “ACLS course participants will score significantly higher on the ACLS post-test when they experience a high-fidelity computer-based simulation rather than a low-fidelity instructor-led simulation for one session of resuscitation practice (Hoadley, 2009). » The theoretical framework for the study was John John Dewey's philosophy of experiential encyclopedism. The study sample consisted of 53 health care providers randomly assigned to experimental or restraint groups. For the example hypothesis given above, T-tests were performed to test for significant differences. No significant differences were found between the high-fidelity teaching mode and the low-fidelity teaching mode on ACLS post-test scores. Another example is where you are testing a new fall prevention program at., 2013).