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A research design is a general plan or strategy for conducting a research study to examine specific testable research questions of interest. The nature of the research questions and hypotheses, the variables involved, the sample of participants, the research settings, the data collection methods, and the data analysis methods are factors that contribute to the selection of the appropriate research design. Thus, a research design is the structure, or the blueprint, of research that guides the process of research from the formulation of the research questions and hypotheses to reporting the research findings. In designing any research study, the researcher should be familiar with the basic steps of the research process that guide all types of research designs. Also, the researcher should be familiar with a wide range of research designs in order to choose the most appropriate design to answer the research questions and hypotheses of interest.

Generally, the research designs can be classified into one of three broad categories based on the nature of research, purpose of research, research questions, sample selection, data collection methods, and data analysis techniques: (1) quantitative research designs, (2) qualitative research designs, and (3) mixed-research designs.

Quantitative Research Designs

Quantitative research is a deductive theory-based research process that focuses primarily on testing theories and specific research hypotheses that consider finding differences and relationships using numeric data and statistical methods to make specific conclusions about the phenomena. Quantitative research designs can be classified into one of four broad research design categories based on the strength of the research design's experimental control: (1) true experimental research designs, (2) quasi-experimental research designs, (3) pre-experimental research designs, and (4) nonexperimental research designs.

Although each of the categories of research design is important and can provide useful research findings, they differ in the nature of the evidence they provide in establishing causal relations between variables and drawing causal inferences from the research findings. Experimental designs are the most rigorous, powerful, and the strongest of the design categories to establish a cause-effect relationship. Nonexperimental designs are the weakest in terms of establishing a cause-effect relationship between variables because of the lack of control over the variables, conditions, and settings of the study.

True Experimental Research Designs

The true experiment is a type of research design where the researcher deliberately manipulates one or more independent variables (also called experimental variable or treatment conditions), randomly assigns individuals or objects to the experimental conditions (e.g. experimental or control groups) and controls other environmental and extraneous variables, and measures the effect of the independent variable on one or more dependent variables (experimental outcome). The experimental group is the group that receives the treatment, and the control group is the group that receives no treatment or sometimes a placebo (alternative treatment that has nothing to do with the experimental treatment). Thus, in a typical experimental study, the researcher randomly selects the participants and randomly assigns them to the experimental conditions (e.g. experimental and control), controls the extraneous variables that might have an effect on the outcome (dependent) variable, and measures the effect of the experimental treatment on the outcome at the conclusion of the experimental study.

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