IndexQuantitative research designsDescriptive researchCorrelational researchExperimental researchConclusionAccording to Vaus (2001), the function of a research design is to ensure that the evidence obtained allows a researcher to answer the initial question as unequivocally as possible. Commission and systematize research. The method you choose will influence the solvent and how you conclude your results (Kothari, 2014). Most scientists are interested in obtaining reliable observations that can aid the understanding of a phenomenon. Initially, selecting the right type from different search methods can be a little daunting (Kothari, 2014). According to Kumar (1996), there are many genes to take into consideration and evaluate. This is before examining the required statistics and carefully examining the preferred method of action for the individual scientific discipline. For different disciplines, there can be a huge change in the research method to choose from and a researcher will have to justify their option. Although slightly arbitrary, the best way to look at the various methods is in terms of durability (Kumar, 1996). Say no to plagiarism. Get a tailor-made essay on "Why Violent Video Games Shouldn't Be Banned"? Get an Original Essay According to Kothari (2014), there are two main attacks on an inquiry problem: quantitative and qualitative inquiry approaches. Simply put, quantitative investigation generates numerical information or information that can be converted into numbers. It focuses more on counting, classifying features, and building statistical models and figures 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 to measure their effects (experimental research). Qualitative research, on the other hand, generates non-numerical data. It focuses on primarily verbal data collection rather than measurement. The information collected is then analyzed in an interpretive, subjective, impressionistic or even diagnostic way (Wikipedia Encyclopedia, 2005). Quantitative investigation requires investigation of the skeletal system of a research question based on some important research concepts (Bryman, twenty 16). The first is the unit of analysis that refers to the object or outcome you are enumerating or measuring, i.e. the cases that make up your sample. These could be individual mass (as in a survey), interaction (as in a reflection), or child age (as in a census). The second is a variable which 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 can be self-employed, that is, it influences, acts on, or causes changes in another variable; or dependent, i.e. it undergoes or is the effect of the previous variable. The third important concept in choosing quantitative research questions is the attributes that relate to the category into which you divide the variable. For example, gender could be “male” and “female”; the age could be “under 20”, “between 20 and XL” and “over 40”; and mathematical ability could use scores from a psychometric test (Bryman, 2016). According to Creswell (2013), a quantitative research question repays a topic of interest and restates it in operational terms, that is, in terms of how you will collect the empirical data that will allow you to test your hypothesis for classifying or describing the relationship between thevariable quantity. Quantitative research requires reframing the research question as a hypothesis. This is your best guess about the relationship between the variable you then plan to 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 are collected to categorize or describe variables or combinations of variables. This can lead to statements like: “XX percent of female friends aged ten to 15 read for pleasure more than five senses of the time per workweek.” Inquiry at the descriptive level is most appropriate when very little research is available on the topic. The components must be described before they can be tested (Kothari, 2014). According to Fraser Wellness Say-so (2011), research at the descriptive level includes research on the view or bailiwick case methodology. Survey research involves the collection of data, usually via a written survey/questionnaire. Surveys can be cross-sectional, involving the accumulation of data from selected individuals over a single period of time, and/or longitudinal, involving the collection of data at two or more time points to describe changes over time (Fraser Health Agency, 2011). The purpose 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 district through detailed information (Fraser Health Say-so, 2011). An advantage of descriptive phase research is that the researcher is able to collect a large amount of data. However, even though the data is plentiful, it tends to lack depth to the sample. On the other hand, written case report research provides depth and richness of data but lacks breadth because it is limited to one person or outcome. An important distinction of descriptive story research is that nothing is manipulated or controlled. Phenomena are studied in real-life situations. Therefore, cause-problem relationships cannot be determined using this design. The information is analyzed using descriptive statistics such as absolute frequency, averages and percentage. A hyperkinetic syndrome of the comparative descriptive design compared to the basic descriptive design allowing two or more groups to be compared on the broker of interest (Kothari, 2014). An example of this design is McAuliffe's (2007) written report on oral examination hygiene. The purpose of this investigation was to explore and identify factors that may influence nursing students' oral hygiene practice in hospitalized patients. Isolating broker questions ask the question “What is this?” which is what McAuliffe is doing here. Only one object and one object lens were used in this study, not hypotheses. A survey was used to gather students' views on what Edward Thatch was and what they practiced in relation to oral hygiene practices. Descriptive statistics (percentages) were performed to address their objectives. The results indicated that there was inconsistency between what students thought they were being taught and what was actually taught in class. Furthermore, students were learning habits that were not necessarily good from their nanny role within the Seth Clinic (McAuliffe, 2007). Correlational Research According to Inigo Jones and Bartlett (2011), in correlational investigation, researchers are interested in relatednessbetween variable stars S. The researcher asks whether one (the “fencesitter” variable) relates to or even causes a behavior or reaction in another (the dependent variable). The design provides the kinship and strength of the relationship between two variable stars. Correlational research is used to solve relational investigations. The object lesson of the divider doubt might include “What is the relationship between depression and self-annihilation among adolescents?” or “What is the relationship between need and exemplary behavior?”. However, before these questions can be answered, the factors or variables must be described by a previous descriptive history study or a synthesis of published literature (Jones & Bartlett, 2011). If, for example, we were interested in knowing whether the boy or girl chooses more free-choice activities in an early childhood center, we could ask ourselves how the independent variable (for example, sexuality) relates to the phenomenon of interest (for example example, freedom - choice activity in an early childhood centre). According to Fraser Wellness Say-so (2011), an advantage of using correlational research is that this method of action provides an assessment of the strength and direction of relatedness between varying 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 relatedness between the mentally tested variables. Predictive studies also analyze seizures below this level and describe the human relationship between the 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 analytical thinking would test whether there is a relationship between clinical depression and suicide among adolescents, 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 completed by Al-Kandari, VidAL, and Thomas (2008) examining the relationship between a health-promoting spiritual modality and a BMI among university students in Kuwait. The study sample included all 350 nursing students enrolled in the AND program during one semester. The Walker's Health Promoting Lifestyle Questionnaire (HPLP-II) was administered to assess health-promoting attitudes and behaviors. A Pearson correlation was performed to find out the relationship between enrollment levels with the HPLP-II and body mass index. Results included a significant positive correlation between BMI and nursing course level. That is, as students progressed in their nursing courses, their BMI increased (Al-Kandari, et al., 2008). Experimental Research In experimental research, the researcher manipulates one or more variables to establish a familiar cause-and-effect relationship between employee and employee. mugwump variable star (Inigo Jones & Bartlett, 2011). The researcher controls the independent variable and the study conditions and randomly assigns the treatment to the study participant or subjects. To be considered experimental research, there must be random selection and/or random assignment of subjects, treatment/intervention control/manipulation, and include treatment and a chemical control group (Jones & Bartlett, 2011). According to the Fraser Health Authority (2011), different randomization eccentricities in experimental research design include simple treatment numbers, blocked where they correspond tocertain equally spaced decimal points in the subject assignment sequence and stratified where randomization occurs within specific 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 randomly assigned treatments and a baseline measurement is taken. Finally, there is the Billet -exam Only Control Group Pattern where the 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 without random assignment to the treatment under study and in which the independent variable quantity is only partially under the control of the researcher. This conception is used to examine the cause and core while ruling out plausible alternative explanations (Fraser Health Dominance, 2011). An example of this type of research design is the Pre-test Post-military Post-test Non-combining weight grouping in which both a mastery math 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 sentences and money to produce a randomized sample (Jones & Bartlett, 2011). Furthermore, it may not be ethically possible to deny treatment to the control group, thus preventing a true experimental design. This research method is one of the most difficult and requires rigorous design and a large investment in terms of expenses, especially for larger experiments. The other problem, when real-life organisms are used, is that selecting something from its surrounding environment can seriously influence its behavior (Jones & Bartlett, 2011). An example of an experimental study provided by Hoadley (2009) compared the event of David Fidelity fiction at low and high schools in encyclopedism advanced cardiac life support (ACLS). This study compared the results of two ACLS classes on measures of resuscitation knowledge and skills. One of the four hypotheses was: “ACLS course participants will have significantly higher rafts on the ACLS post-test when they experience a high-fidelity computer simulation rather than an instructor-led low-fidelity simulation for the hands-on resuscitation session (Hoadley, 2009)." The theoretical framework for the study was John John Dewey's philosophy of experiential encyclopedism. The study sampling consisted of 53 healthcare workers randomly assigned to experimental or restraint groups. For the above sample hypothesis, T-tests were performed to check for significant departures. No significant difference was found between high-fidelity versus low-fidelity teaching mode on ACLS post-test scores. Another example is when you are testing a new fall prevention program within your hospital where you would need to obtain a baseline fall rate prior to the policy program and then again after the program is fully implemented. Statistically it is possible to compare the rate of falls before the new program with the rate of falls after the new program. Your unit of measurement would be numbers and they would lend themselves to a quantitative design (Hoadley, 2009). Another example is a survey by Rosenthal and Jacobson (1968), who as part of a course of research studies on the impact of self-consumption fulfilling prophecies (e.g., where someone's beliefs or expectations about someone else influence the way the latter behaves), conducted research, 2013).