Quantative research is a way of generating numerical data or data that can be made into usable statistics. There are 4 main types of quantative research designs: descriptive, correlational, quasi-experimental end experimental.
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A Descriptive Design seeks to describe the current status of a variable or phenomenon. The researcher does not begin with a hypothesis, but typically develops one after the data is collected. Data collection is mostly observational in nature.
A Correlational Design explores the relationship between variables using statistical analyses. However, it does not look for cause and effect and therefore, is also mostly observational in terms of data collection.
A Quasi-Experimental Design (often referred to as Causal-Comparative) seeks to establish a cause-effect relationship between two or more variables. The researcher does not assign groups and does not manipulate the independent variable. Control groups are identified and exposed to the variable. Results are compared with results from groups not exposed to the variable.
Experimental Designs, often called true experimentation, use the scientific method to establish cause-effect relationship among a group of variables in a research study. Researchers make an effort to control for all variables except the one being manipulated (the independent variable). The effects of the independent variable on the dependent variable are collected and analysed for a relationship.
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Objective / purpose
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Sample
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Usually a large number of cases representing the population of interest. Randomly selected respondents.
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Data collection
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Structured techniques such as online questionnaires, on-street or telephone interviews.
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Data analysis
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Statistical data is usually in the form of tabulations (tabs). Findings are conclusive and usually descriptive in nature.
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Outcome
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Used to recommend a final course of action.
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