COMMENTS

  1. Descriptive Research

    Revised on June 22, 2023. Descriptive research aims to accurately and systematically describe a population, situation or phenomenon. It can answer what, where, when and how questions, but not why questions. A descriptive research design can use a wide variety of research methods to investigate one or more variables.

  2. Types of Variables, Descriptive Statistics, and Sample Size

    In the case of more than one variable, descriptive statistics can help summarize relationships between variables using tools such as scatter plots. Descriptive statistics can be broadly put under two categories: Sorting/grouping and illustration/visual displays ... Botti M. Clinical research 3: Sample selection. Accid Emerg Nurs. 2007; 15:234 ...

  3. Descriptive Research: Characteristics, Methods + Examples

    Characteristics of descriptive research. The term descriptive research then refers to research questions, the design of the study, and data analysis conducted on that topic. We call it an observational research method because none of the research study variables are influenced in any capacity. Some distinctive characteristics of descriptive ...

  4. What is Descriptive Research? Definition, Methods, Types and Examples

    Image by master1305 on Freepik. Descriptive research is a methodological approach that seeks to depict the characteristics of a phenomenon or subject under investigation. In scientific inquiry, it serves as a foundational tool for researchers aiming to observe, record, and analyze the intricate details of a particular topic.

  5. What is descriptive research?

    As the name suggests, descriptive research describes the characteristics of the group, situation, or phenomenon being studied without manipulating variables or testing hypotheses. This can be reported using surveys, observational studies, and case studies. You can use both quantitative and qualitative methods to compile the data.

  6. Descriptive Statistics

    Types of descriptive statistics. There are 3 main types of descriptive statistics: The distribution concerns the frequency of each value. The central tendency concerns the averages of the values. The variability or dispersion concerns how spread out the values are. You can apply these to assess only one variable at a time, in univariate ...

  7. What is Descriptive Research?

    Definition of descriptive research. Descriptive research is defined as a research method that observes and describes the characteristics of a particular group, situation, or phenomenon. The goal is not to establish cause and effect relationships but rather to provide a detailed account of the situation.

  8. Descriptive Research Design

    Revised on 10 October 2022. Descriptive research aims to accurately and systematically describe a population, situation or phenomenon. It can answer what, where, when, and how questions, but not why questions. A descriptive research design can use a wide variety of research methods to investigate one or more variables.

  9. Descriptive Statistics

    Types of descriptive statistics. There are 3 main types of descriptive statistics: The distribution concerns the frequency of each value. The central tendency concerns the averages of the values. The variability or dispersion concerns how spread out the values are. You can apply these to assess only one variable at a time, in univariate ...

  10. Descriptive Research Designs: Types, Examples & Methods

    Some characteristics of descriptive research are: Quantitativeness. Descriptive research uses a quantitative research method by collecting quantifiable information to be used for statistical analysis of the population sample. This is very common when dealing with research in the physical sciences. Qualitativeness.

  11. Descriptive Research Design

    Descriptive research design does not attempt to establish cause-and-effect relationships between variables or make predictions about future outcomes. Instead, it focuses on providing a detailed and accurate representation of the data collected, which can be useful for generating hypotheses, exploring trends, and identifying patterns in the data.

  12. Descriptive research

    Descriptive science is a category of science that involves descriptive research; that is, observing, recording, describing, and classifying phenomena.Descriptive research is sometimes contrasted with hypothesis-driven research, which is focused on testing a particular hypothesis by means of experimentation. [3]David A. Grimaldi and Michael S. Engel suggest that descriptive science in biology ...

  13. Study designs: Part 2

    INTRODUCTION. In our previous article in this series, [ 1] we introduced the concept of "study designs"- as "the set of methods and procedures used to collect and analyze data on variables specified in a particular research question.". Study designs are primarily of two types - observational and interventional, with the former being ...

  14. Descriptive Research Studies

    Descriptive research may identify areas in need of additional research and relationships between variables that require future study. Descriptive research is often referred to as "hypothesis generating research." Depending on the data collection method used, descriptive studies can generate rich datasets on large and diverse samples. Limitations:

  15. Descriptive Research

    Researchers have no control over the variables in descriptive research, which can limit the conclusions that can be drawn. 4. Bias. The researcher's own biases and preconceptions can influence the interpretation of the data. 5. Lack of Generalizability. Descriptive research findings may not be applicable to other populations or situations. 6 ...

  16. Descriptive Statistics in Research: Your Complete Guide- Qualtrics

    We call this process "describing data". In the process of producing summaries of the sample, we use measures like mean, median, variance, graphs, charts, frequencies, histograms, box and whisker plots, and percentages. For datasets with just one variable, we use univariate descriptive statistics. For datasets with multiple variables, we use ...

  17. Descriptive Research

    Descriptive studies have the following characteristics: 1. While descriptive research can employ a number of variables, only one variable is required to conduct a descriptive study. 2. Descriptive studies are closely associated with observational studies, but they are not limited with observation data collection method.

  18. The 3 Descriptive Research Methods of Psychology

    Types of descriptive research. Observational method. Case studies. Surveys. Recap. Descriptive research methods are used to define the who, what, and where of human behavior and other ...

  19. 41.1 What Is Descriptive Research?

    41.1.1 The Nature of Descriptive Research. The descriptive function of research is heavily dependent on instrumentation for measurement and observation (Borg & Gall, 1989). Researchers may work for many years to perfect such instrumentation so that the resulting measurement will be accurate, reliable, and generalizable.

  20. Descriptive Research

    Research studies that do not test specific relationships between variables are called descriptive studies. These studies are used to describe general or specific behaviors and attributes that are observed and measured. In the early stages of research, it might be difficult to form a hypothesis, especially when there is not any existing ...

  21. Types of Variables in Research & Statistics

    Examples. Discrete variables (aka integer variables) Counts of individual items or values. Number of students in a class. Number of different tree species in a forest. Continuous variables (aka ratio variables) Measurements of continuous or non-finite values. Distance.

  22. Does descriptive research have dependent variables?

    May 7, 2016 at 21:59. Add a comment. I suppose that, technically, your Likert scales aren't "dependent variables" because there seems to be no attempt to model them or changes in them in this study. You should, however, start thinking about them as dependent variables because that is what they will be in your further experimental studies.