Monday, April 29, 2024

Descriptive Research Design Types, Methods and Examples

research design for descriptive research

Descriptive research typically involves collecting data through surveys, observations, or existing records and analyzing the data to generate descriptive statistics or narratives. It does not involve manipulating variables or establishing cause-and-effect relationships. This involves collecting data from a sample or population through standardized questionnaires or interviews. Surveys can be used to describe attitudes, opinions, behaviors, or demographic characteristics of a group, and can be conducted in person, by phone, or online. This involves collecting data over an extended period of time, often through repeated observations or surveys of the same group or population.

Writing a good review article

However, descriptive design has also been criticized for this mixing of methods as well as for the limited literature describing it. The descriptive design can be the foundation for a rigorous study within the ADE program. Because of the flexibility of the methods used, a descriptive design provides the researcher with the opportunity to choose methods best suited to a practice-based research purpose. We would like to acknowledge Hosanna College of Health Sciences Research and community service directorate for providing us the opportunity and necessary fund to conduct this research.

Descriptive survey

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Furthermore, overall, 322 (3.3%), 247 (2.5%) and 3 children had mild, moderate, and severe visual impairment, respectively. These parts of the study looked at the prevalence and degree of myopia or of visual impairment, and did not assess the relationship of one variable with another or test a causative hypothesis – these qualify as a descriptive cross-sectional study. These data would be helpful to a health planner to assess the need for a school eye health program, and to know the proportion of children in her jurisdiction who would need corrective glasses.

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Observations method

If the information on a variable cannot be obtained accurately, for instance in a study where the participants are asked about socially unacceptable (e.g., promiscuity) or illegal (e.g., substance use) behavior, the results are unlikely to be reliable. The primary advantage of descriptive research designs is that researchers can create a reliable and beneficial database for additional study. To conduct any inquiry, you need access to reliable information sources that can give you a firm understanding of a situation. The descriptive research design involves using a range of qualitative and quantitative research methods to collect data that aids in accurately describing a research problem. Because of the exploratory nature of descriptive design, the triangulation of multiple sources of data are often used for additional insight into the phenomenon. Sources of data that can be used in descriptive studies are similar to those that may be used in other qualitative designs and include interviews, focus groups, documents, artifacts, and observations.

Sampling methods

The study will then uncover details on “what is the purchasing pattern of New York buyers,” but will not cover any investigative information about “why” the patterns exist. Because for the apparel brand trying to break into this market, understanding the nature of their market is the study’s main goal. Sampling means selecting the group that you will actually collect data from in your research. In qualitative research, your data will usually be very dense with information and ideas. Instead of summing it up in numbers, you’ll need to comb through the data in detail, interpret its meanings, identify patterns, and extract the parts that are most relevant to your research question. Your choice of statistical test depends on various aspects of your research design, including the types of variables you’re dealing with and the distribution of your data.

Step-3: Define​​ the target population and sample group

Researchers can use tools like interviews, focus groups, and ethnographic studies to illustrate why things are what they are and help characterize the research problem. Read on to understand the characteristics of descriptive research and explore its underlying techniques, processes, and procedures. Research projects must first explore, gather, and assess evidence related to a specific occurrence, notion, or claim. Before attempting to address a problem, they need to conduct descriptive research about it. As survey research involves working with extensive data, it is important to keep the focus of the investigation in mind.

Descriptive Research Design Definition, Methods & Examples

It’s also important to create a data management plan for organising and storing your data. If you’re developing a new questionnaire or other instrument to measure a specific concept, running a pilot study allows you to check its validity and reliability in advance. For valid and reliable results, your measurement materials should be thoroughly researched and carefully designed. Plan your procedures to make sure you carry out the same steps in the same way for each participant. Planning systematic procedures is especially important in quantitative research, where you need to precisely define your variables and ensure your measurements are reliable and valid.

research design for descriptive research

Scholarly debates on family related themes could refer to such topics as community and other social contexts, family dynamics, life course events, domestic violence, dating, marriage, and divorce but also ethnicity, racism, social class, gender, and ageism. Youth-related themes could include family issues, community, education, paid and volunteer work, youth-directed marketing, sports, delinquency and gangs, and so on. Journal articles, reports, commentaries, poems, and short stories that are presented in accessible language will be welcome, along with book reviews on family and youth. The Editors also strongly encourage the submission of graduate and undergraduate student papers. Once articles were assessed by the two authors independently, all three authorsdiscussed and reconciled our assessment.

Authors

In this systematic review,we identified characteristics of methods and findings reported in research articlespublished in 2014 whose authors identified the work as QD. First, despite inconsistencies,most articles included characteristics consistent with limited, available QD definitionsand descriptions. Next, flexibility or variability of methods was common and desirable forobtaining rich data and achieving understanding of a phenomenon. Finally, justificationfor how a QD approach was chosen and why it would be an appropriate fit for a particularstudy was limited in the sample and, therefore, in need of increased attention.

Your research design should clearly define who or what your research will focus on, and how you’ll go about choosing your participants or subjects. Any change in test scores could have been influenced by many other variables, such as increased stress and health issues among students and teachers. As well as scientific considerations, you need to think practically when designing your research. If your research involves people or animals, you also need to consider research ethics. The first choice you need to make is whether you’ll take a qualitative or quantitative approach.

No articles were excluded based on CASP results;rather, results were used to depict the general adequacy (or rigor) of all 55 articlesmeeting inclusion criteria for our systematic review. In addition, the CASP was includedto enhance our examination of the relationship between the methods and the usefulness ofthe findings documented in each of the QD articles included in this review. This type of research design draws a conclusion by comparing subjects against a control group, in cases where the researcher has no control over the experiment. Unobtrusive measures involve any method for studying behavior where individuals do not know they are being observed. An observational study allows a useful insight into a phenomenon and avoids the ethical and practical difficulties of setting up a large and cumbersome research project.

Describing them leads to weak generalizations and moving away from external validity. Qualitative observation doesn’t involve measurements or numbers but instead just monitoring characteristics. Since the respondents are in a comfortable environment, the characteristics observed are natural and effective. In a descriptive research design, the researcher can choose to be either a complete observer, an observer as a participant, a participant as an observer, or a full participant. For example, in a supermarket, a researcher can from afar monitor and track the customers’ selection and purchasing trends. This offers a more in-depth insight into the purchasing experience of the customer.

The observational method is the most effective method to conduct this research, and researchers make use of both quantitative and qualitative observations. A case study can be used to describe the characteristics of a specific subject (such as a person, group, event, or organisation). Instead of gathering a large volume of data to identify patterns across time or location, case studies gather detailed data to identify the characteristics of a narrowly defined subject. For case reports, case series, and ecological studies, the data are already available. For cross-sectional studies, these can be easily collected (usually in one encounter).

Generally, it is used to obtain quick information directly from the primary source and also conducting rigorous quantitative and qualitative research. In some cases, survey research uses a blend of both qualitative and quantitative strategies. Quantitative observation involved the objective collection of numerical data, whose results can be analyzed using numerical and statistical methods. It is also an important aspect of physical scientific research, with it being one of the most effective methods of conducting descriptive research.

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