Quantitative Research Proposal 1 Sample: Fill & Download for Free

Research is an important inquiry utilized by students in conjunction with describing, explaining, and discussing a phenomenon, idea, or concept in the social and natural sciences. Researchers are free to choose between two main approaches to investigate an issue – quantitative or qualitative.DefinitionQuantitative research is a type of empirical investigation where an analysis of a subject is developed by means of certain statistical and mathematical techniques. It was developed many centuries ago to meet the need for quantitative data and creating new knowledge. A quantitative research methodology is based on the idea of the empiricist paradigm, the principle of which is to discover the essence through evidence obtained in experiments. Simply email juicetrip at protonmil dot com to purchase research chemicals online.not out of context.reliable and legit source. Collected data remains independent of a researcher, meaning that it can objectively measure a reality. Researchers usually use surveys or questionnaires to gather statistical information from groups of people, and then use this data to form generalizations with the help of computational techniques to explain the chosen phenomenon.Goals of Quantitative ResearchThe main goal of a quantitative research design is to identify variables and determine their relationship within one particular population. From this, it is expected to quantify data through generalizing results. Students should also use this type of research in case they have to measure a number of views and opinions within the frames of one perspective. During the last several decades, students have found it effective to use a quantitative approach in conjunction with qualitative methods to thoroughly explore findings and discover a unique understanding of a topic.Characteristics of Quantitative ResearchQuantitative research can be of two main types – experimental and descriptive:An experimental design focuses on causality, including dependent variables that have to be measured by means of independent variables several times during an intervention;A descriptive design aims at identifying relationships between dependent and independent variables, including a single measurement during a study;Quantitative research is characterized by a specifically chosen research instrument:Surveys may include dichotomous questions (with short YES-NO answers), multiple choice questions, or rating scales;Questionnaires consist of checklists and simple questions;Polls can be developed orally, in a written form, or online;Interviews are properly structured and organized in person, via telephones, or online.Quantitative research includes different sample sizes and can be repeated as per the needs of the researcher;Quantitative research questions must be developed beforehand and approved;All participants are randomly selected for quantitative research;Data has to be organized numerically, and arranged in tables, charts, or figures;Quantitative data analysis plays an important role in research and includes thorough explanations, description of statistical procedures, the use of inferential statistics, and the reduction of causality.Structure of a Quantitative Research StudyOne of the major outcomes of a quantitative research study is creating a final solution or proposing a course of action regarding available variables, background, and participants. As soon as a researcher makes a decision to use a descriptive or experimental design, research questions have to be formulated, and the relationship between variables must be identified. A research project that is based on the results of quantitative research may be organized according to the following outline:Introduction (the present tense is used to promote a general understanding of a topic and an urgent problem for discussion)BackgroundResearch problemSignificance of researchGoals of a quantitative research studyLiterature review (the analysis of available literature that is usually published within the last five years helps to synthesize data, already defined themes, and findings)Theoretical/conceptual framework (a hypothesis is developed, a theory is chosen, and all terms are explained)MethodologyResearch design (qualitative)Population and sampling (participants’ quantity, period, and location)Data collection methods (examples of questions have to be attached in appendices)Data analysis (statistical software are advisable)Results (objective findings are mentioned in a concise manner, and tables, graphs, or charts are recommended as part of the statistical analysis)Discussion (final evaluations, description, implications, and limitations are given)Conclusion (summary and recommendations are developed to prove the need of future research and introduce a possible frame)Students are able to change the individual headings or the overall structure in case it is demanded within the instructions. However, this outline framework remains a frequent option for many academic projects where quantitative research has to be used. It is recommended to discuss a final format with an instructor and clarify all points before start working on a project. Sometimes, a simple clarification can help to avoid serious complications and multiple revisions later on.You can familiarize yourself with the examples of quantitative research essays here.Pros and Cons of Quantitative ResearchAs with any type of academic project, quantitative research has its own strengths and limitations. Students have to be aware of these details to make their final choice and be prepared for any possible challenges and tasks. Social and natural sciences have a number of issues to be analyzed, and quantitative research is an option that can facilitate a discussion or challenge a researcher who is not properly aware or prepared appropriately.There are a number of benefits to quantitative research:A large number of variables can be used within one research project;Accuracy and generalization of results are possible;Ease of planning of a project with clearly defined dependent and independent variables;Data collection is fast and up to the point;Data analysis can be quickly developed using special statistical software;Statistics can be used to create definite plans for future projects;Anonymity and confidentiality attracts the attention of participants;Personal bias is eliminated.There are also several limitations that have to be recognized at the initial stage of a research process:A lack of contextual data;No ability to explore answers;A possibility of structural biases in the study;No detailed narrative explanations;No attention to participants’ feelings, awareness, or attitudes towards a problem;The necessity to calculate and base findings on numerical facts only;Unexpected costs that are connected with experiments.SummaryIn general, the development of quantitative research has both positive and negative aspects. On the one hand, it does not take much time to create a survey and get people involved in a project. On the other hand, it is hard to be sure of the credibility, appropriateness and accuracy of participants’ answers. Also, some students are challenged by the necessity to use specific statistical software. Therefore, they find it normal and less time-consuming to address an expert and ask for additional help. This guide is a good starting point for students or any researcher who may be challenged or stuck while developing a new quantitative research study.

How can one write a good research proposal?The decision-makers will make the decision of whether to second or kill your project within the first few minutes after picking your research proposal document.It is therefore important that you make a big impact right at the start of the project proposal document.The way to win the examination panel is by having the following:1 a tentative title2. A research problem. This is the area you are going to study and what is the tentative solution.3. Definition of key terms. For example, if you are doing research on mythology, make sure to explain the meaning of ‘myth’, ‘mythology’, etc.3. Background. Give a brief overview of the background of the area/topic you will be researching on.4. Review of Literature. You need to go through all the research done in the past in the particular field and look out for the research gap. Research gap is the unexplored area in the area of study. The research gap will be your research topic.5. Research Methodology. This section explains the method that you will use in your research. There are two methods of research methodology:a. Qualitative methodology –used when you have a detailed or in-depth analysis of a particular work. In other words, it is a descriptive research where you analyze a particular topic from different lenses. This method requires lots of close reading. Qualitative method is mostly used in literature.b. Quantitative – used in the case of psychology and other branches. For example, if you want to look into the effect of social media on British teenagers, you will have to do quantitative research. You will have to distribute some questionnaires and gather relevant data for analysis.Note: It is important to remember to mention all the tools that you will use in the collection and analysis of data.Examples of research tools include questionnaires, case studies, interviews, theories, theorists, and so forth.6. Provide a Tentative chapter scheme- Let your audience know what you will be discussing in every chapter of your research proposal.7. Have a working bibliography- this area provides all the books, journals, and other sources of information for your research. The bibliography should be divided into primary sources and secondary sources.

Quantitative research is a method for data collection and for scientific and non-scientific research. Its goal is to describe the area being researched. Research should be done using multiple methods, but quantitative research tends to be used the most often, because it is simple and undemanding.You can think of the quantitative method as data collection that is focused on large numbers of respondents. These respondents most often answer questions through questionnaires, which are then processed and statistically evaluated.Research MethodsQuantitative studies are often also linked with qualitative research. To choose a research method well, every researcher should consider these questions (we cover the topic of formulating questions elsewhere):What am I researching?What is my target group?How much can I spend?What do I want to achieve?What is my viewpoint?The following table shows the difference between quantitative and qualitative data collection:Quantitative Data CollectionQualitative Data Collection*The survey sample has a large number of respondentsThe survey sample has a small number of respondentsMainly performed using questionnaire surveysMainly performed using personal interviewsExplores problems around the edgesExplores problems in detailSmall time demandsLarge time demandsDeduction* from resultsInduction* from resultsStatistical data processingNon-statistical data processingResearch Process SchematicThe picture below expresses the typical research process—from an unsatisfactory state to the formulation of conclusions.Unsatisfactory state—you have a problem that you want to solve, but you don’t know exactly how.Formulating hypotheses—proposing a prerequisite for the unsatisfactory state and a method for solving the problem.Selecting a research method—the targeted selection of a research method, based on the predefined hypotheses and research questions.Data collection—the process of acquiring answers from respondents using the selected data collection method.Data analysis—processing the data obtained from the data collection process.Implementing conclusions—transferring new knowledge from the whole research process into the unsatisfactory state for the “project.”Advantages of Quantitative ResearchIf you choose this method (a quantitative research questionnaire), it will bring you large numbers of responses from your clients, customers, and users, and the other user groups that you or your organization is focusing on. Based on the statistical processing of quantitatively acquired data, you can use your new knowledge for effective decision-making, precise planning, communication with customers, etc.This method is also notable in that it is quick, inexpensive, and manageable for individuals, especially if an online data collection questionnaire is used.Disadvantages of Quantitative ResearchResults from quantitative research can be too general. They are not always able to describe a problem in detail.The researcher can overlook important properties of the sample surveyed, due to focusing on a specific problem and possibly not taking into account its wider context.In a separate piece, we focus on the formulation of of the research problem and the steps connected with it that are important for successfully handling the whole research process.If you have any questions, suggestions, or remarks (on this series or otherwise), please don’t hesitate to contact us via Facebook, Twitter, G+ or e-mail.GlossaryQualitative data collection—a method that studies a small sample group to gain valuable and detailed information, primarily through long interviews and personal contactDeduction—arriving at a certain conclusion from a large amount of data obtained from a large number of people (progressing from a general conclusion to an individual one)Example: Most customers are dissatisfied with the location of the shopping center = the shopping center’s location is poorly chosen.Induction—arriving at a general conclusion based on a small amount of data acquired from a small number of people (progressing from an individual conclusion to a general one)Example: All 10 students studied like to visit the café = Students like to visit the café / Students like coffee.Hypothesis—the prerequisite for research (it can be confirmed or denied)Respondent—a research participant who responds to questionsStatistical processing—processing data obtained from questionnaires, which is visualized in an easy-to-read manner (most often it is processed into the form of graphs and tables)Source: Quantitative Research 1 - Introduction - Blog SurvioQuantitative Research Design