Comparison of Research Design

Experimental design is a process by which a researcher takes a hypothesis, designs an experiment to test for the hypothesis, collects the data from the experiment, analyzes it and draws conclusions about the results. It is used to determine cause and effect and is used in all forms of science from physics and biology to psychology and sociology.

A research design can be understood as the planning of any scientific research from the first to the last step. In this sense it is a program to guide the researcher in collecting, analyzing, and interpreting facts (Bless and Higson-Smith, 1995:63).

Instructions: This is a group activity that you will start in class and complete at home. For each of the following, note, whether the research design used is an experiment, a quasi-experiment, or a correlational approach and why. If a study is an experiment, identify the independent variable and the dependent variable. Please type your answers in complete sentences.

Experimental research concentrates on how and why something happens. It is the evaluation of how an independent variable (a manipulated factor) affects a dependent variable (an observed factor). The outcome can be affected by a number of elements; obtaining random and representative samples of the study population, experimenter bias and extraneous variables.

This article analyzed the positive experiences of twelve individuals who had visible differences (Egan et al 2011, p. 739). This study discovered four main elements that helped people to interpret their related experiences in a positive way. Generally, it can be seen that the authors applied interpretive social science (Neuman 2006, p. 87) to produce this study to capture participants’ experiences and feelings. There are some advantages that can be yielded by utilizing this perspective. Firstly, the authors were able to understand individuals’ different social lives. The complex social factors can be extracted to interpret participants’ feelings and emotions from their personal experiences. It was

Participants were exposed to five experimental conditions (different types of labels) and asked to complete two tasks (“Pair-wise comparison of foods” and “Virtual grocery: Envisaged daily food consumption”). The experiment was monitored by 30 interviewers

Under the research design section it could have been mentioned that the study was a descriptive correlation design, experimental design, Quasi-experimental design, or a comparative descriptive design which is "used to describe a phenomenon of interest and related variable" (Gray, Grove, & Sutherland,

The authors conducted a quasi-experimental design to conduct the research, which is a type of quantitative research. A quasi-experimental design uses comparisons to determine the effects of one variable on another variable (Grove,

Describe the type of research design that will be used in your research, and why you selected this particular type over other types available. Include any assumptions made that influenced your choice. Describe as best you can how you are going to carry out this experiment, step by step. Remember that you do not have to carry out the evaluation, but you should be creating a "recipe" that you and others can follow to aptly answer the question of interest.

This paper will review and critique Hess's quantitative study of vascular access improvement in pediatric population by using a vein viewing device. The author utilized a prospective, non-randomized study at a tertiary care center. The sample of the study included 150 procedures in the control group and 91 procedures in the experimental group from the ages 0 to 17 years. The primary aim of the study was to increase the first-attempt success rate of venipuncture and decrease procedure time for the study population.

True experimental research design includes random selection and group assignment of participants, manipulation of variables and observing the effect that the manipulation has on the dependant variable to establish whether a cause and effect relationship is present between the variables (Follmer Greenhoot, 2003, pp. 92-93). An example of a commonly used true experimental research designs, are experiments used for testing the effects of new pharmaceuticals.

When selecting a research approach, Creswell (2014) outlines criteria that affect the choice of one approach over another. I have already discussed how my worldview, personal experiences, and identified problem of practice and the questions affect my research. The design, methods, and audience of my emerging research will also be considered in terms of choosing a research approach.

A study design is the procedure that guides a researcher on how to collect, analyze and interpret observations. It is a logical model that guides the investigator while he navigates through the various stages of the research. Study types can be classified severally depending on the research strategy employed. A study type can be non-interventional that is ‘observational’ where a researcher just observes and analyses researchable objects or situations without intervening. Non-interventional study designs can be exploratory, descriptive or comparative. A study can also be

The research design used in this study was correlational. The correlational design allows the determination of existence or degree of relationship between two variables. In this study gender was used as the nominal independent variable and hours spent in in Pinterest weekly was the dependent variable. The correlational research method was chosen because it allows relevant evidence to be collected and the data collected is directly related to the research question. This type of study manages variations, identifies relationships between variables, and produces answer to the research question. The purpose of the research had to reflect on the research design in order to reveal whether or not there was a statistical significance, in this case

Quantitative research design is an excellent way of finalizing results and proving or disproving a hypothesis. The structure has not changed for centuries, so is standard across many scientific fields and disciplines. After statistical analysis of the results, a comprehensive answer is reached, and the results can be legitimately discussed and published. Quantitative experiments