The main advantages of quantitative approach.

もっと見る

The Future of Technology

Kelly Coneにより

Inferential Statistics Mind Map

Bryan Cisnerosにより

Validation and Verification

Kezia Baileyにより

HYPERTENSION

yashwit polapragadaにより

The main advantages of quantitative approach.

Advantages and disadvantages according to philosophical foundations

Empiricism-Realism. Knowledge is summarized in generalizable forms and generalizable contexts. An external reality is presumed to exist, governed by immutable and mechanical laws. mechanical.

Advantages and disadvantages according to epistemological foundation

Logical positivism, with use of the senses. Biophysical and psychological facts and causes of cases and behaviors Assessment of empiricism Cause-effect relationships Explanatory paradigm

It allows the necessary information to be observed, counted and analyzed using statistical techniques. Therefore, this approach can be considered scientific in nature.

Quantitative approach: it has a linear linear conception, that is to say that clarity between the elements elements that make up the problem the problem, that it has definition, limit them and know exactly where the problem starts.

Is an investigation about a specific problem through the application of a scientific approach adopted, that permits to observe, count and analyze the information required using statistical techniques

The use of quantitative research has many advantages that can be summarized in six main points.

Objective and adequate: for hypothesis testing and the results are valid, reliable and generalizable to a larger population.

Eliminates bias: There is no possibility of self-interpretation or preconceptions of the results. The results obtained are statistical. Therefore, they are verifiable.

Wide range of data analysis: Statistics, as a useful tool, also allows a larger amount of data to be obtained from larger sample groups, which can be a limitation in other situations.

Rapid data collection: Data are obtained from a representative group of a population. Data collection methods, as well as the way data are analyzed using statistics, not only save time, but also reduce waste of resources.

Collect reliable and accurate data: Since data is "collected, analyzed and presented in numbers", the results obtained will be truly reliable.

STAGES

Phase 9-Develop Report and Results Results: The results are presented results are presented in the form of a research report.

Phase 8-Data Analysis: In this stage, the statistical tests are selected. statistical tests.

Phase 7-Definition and Selection of the Sample Sample: In this stage, the universe is the universe and the sample is drawn.

Phase 6-Research Design: Selecting the appropriate research design research design (experimental, pre-experimental pre-experimental or quasi-experimental).

Phase 5-Elaborate Hypotheses and Define Variables: The hypothesis is established, the variables are detected.

Phase 4-Visualization of the Scope of the Study Study Scope: Define whether the research is initiated as exploratory, descriptive, correlational descriptive, correlational or explanatory explanatory and to what level it will go.

Phase 3-Literature Review and Theoretical Framework Development The literature review, detection, and consultation of the literature. literature.

Phase 2- Problem Statement: In this stage, the objectives and objectives and research questions research.

Phase 1- The Idea: Conceive the idea to be investigated. research.