- What are the advantages and disadvantages of descriptive research?
- What are some examples of descriptive research?
- What is the most significant limitation of descriptive research?
- What is descriptive research according to?
- How do you explain a research design?
- What is the goal of descriptive statistics?
- What type of study is a descriptive study?
- What are the 10 types of research?
- What is the value of descriptive research?
- What is the weakness of descriptive research?
- What are the 4 types of research design?
- What is the strength of quantitative research?
- What are the characteristics of descriptive research?
- What are the strengths and weaknesses of qualitative research?
- What is the strength of descriptive research?
- What are the types of research design?
- What is a good research design?
What are the advantages and disadvantages of descriptive research?
Some aspects of descriptive research which can be examined for advantages and disadvantages include data collection, life experiences, confidentiality, objectivity and error..
What are some examples of descriptive research?
Descriptive, or qualitative, methods include the case study, naturalistic observation, surveys, archival research, longitudinal research, and cross-sectional research. Experiments are conducted in order to determine cause-and-effect relationships.
What is the most significant limitation of descriptive research?
Thus descriptive research is used to provide a relatively complete understanding of what is currently happening. Despite these advantages, descriptive research has a distinct disadvantage in that, although it allows us to get an idea of what is currently happening, it is usually limited to static pictures.
What is descriptive research according to?
Descriptive research is defined as a research method that describes the characteristics of the population or phenomenon that is being studied. In other words, descriptive research primarily focuses on describing the nature of a demographic segment, without focusing on “why” a certain phenomenon occurs.
How do you explain a research design?
The research design refers to the overall strategy that you choose to integrate the different components of the study in a coherent and logical way, thereby, ensuring you will effectively address the research problem; it constitutes the blueprint for the collection, measurement, and analysis of data.
What is the goal of descriptive statistics?
Descriptive statistics is a branch of statistics that aims at describing a number of features of data usually involved in a study. The main purpose of descriptive statistics is to provide a brief summary of the samples and the measures done on a particular study.
What type of study is a descriptive study?
Descriptive studies can be of several types, namely, case reports, case series, cross-sectional studies, and ecological studies. In the first three of these, data are collected on individuals, whereas the last one uses aggregated data for groups.
What are the 10 types of research?
General Types of Educational ResearchDescriptive — survey, historical, content analysis, qualitative (ethnographic, narrative, phenomenological, grounded theory, and case study)Associational — correlational, causal-comparative.Intervention — experimental, quasi-experimental, action research (sort of)
What is the value of descriptive research?
Descriptive research is a study of status and is widely used in education, nutrition, epidemiology, and the behavioral sciences. Its value is based on the premise that problems can be solved and practices improved through observation, analysis, and description.
What is the weakness of descriptive research?
The most obvious weakness of a descriptive case study is that it does not attempt to address any particular research question. It thus has to be justified on the claim that something about this particular case will generate a genuine addition to knowledge.
What are the 4 types of research design?
There are four main types of Quantitative research: Descriptive, Correlational, Causal-Comparative/Quasi-Experimental, and Experimental Research. attempts to establish cause- effect relationships among the variables. These types of design are very similar to true experiments, but with some key differences.
What is the strength of quantitative research?
One of the strengths of quantitative data is that results can be fairly easily replicated, proving or disproving hypotheses over large sets of audiences. Qualitative data, due to the breadth of emotions, reactions, and responses from participants, doesn’t have the same replicability.
What are the characteristics of descriptive research?
Characteristics of descriptive researchQuantitative research: Descriptive research is a quantitative research method that attempts to collect quantifiable information for statistical analysis of the population sample. … Uncontrolled variables: In descriptive research, none of the variables are influenced in any way.More items…
What are the strengths and weaknesses of qualitative research?
Qualitative methodStrengthsLimitationsProvide more detailed information to explain complex issuesMore difficult to analyse; don’t fit neatly in standard categoriesMultiple methods for gathering data on sensitive subjectsData collection is usually time consumingData collection is usually cost efficient1 more row
What is the strength of descriptive research?
Descriptive research can provide an in-depth view of any topic we might want to study, and the level of detail that we can find in descriptive research is extremely valuable. This is particularly true of descriptive research that is collected qualitatively.
What are the types of research design?
The design of a research topic explains the type of research (experimental, survey, correlational, semi-experimental, review) and also its sub-type (experimental design, research problem, descriptive case-study). There are three main types of research design: Data collection, measurement, and analysis.
What is a good research design?
The features of good research design is often characterized by adjectives like flexible, appropriate, efficient, economical and so on. Generally, the design which minimizes bias and maximizes the reliability of the data collected and analyzed is considered a good design.