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experimental and non experimental designs
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The planning that occurs behind educational research is an intricate process thus in addition to establishing a research problem and purpose and reviewing literature, inquirers must determine the best experimental design that fits their needs. Even though experiments may share characteristics, “their use and application vary depending on the type of design used” (Creswell, 2008, p. 310). Therefore understanding the types of experimental designs commonly used to inquiry about educational thematic is useful to identify the design whose approach will contribute the success of the research. The two major umbrellas of experimental design include between-group and within-group designs, which are further broken down into three subcategories of experimental design according to their characteristics. On the one hand, the between-group design offers an approach in which the inquirer is able to compare two or more clusters of subjects exposed to various degrees of interventions (Creswell, 2008). The between-group design is widely used in various fields given its ability to provide information that compares the interventions to a control group just as majority of the scientific experiments conducted in a science laboratory. In contrast, the within-group design offers an approach geared towards observations of the participants as they themselves become the control of the experiment (Creswell, 2008). Given the distinction among the between-group and within-group designs, it is critical to compare and contrast the six types of experimental design that fall under each of these categories.
The differences in characteristics of design further subcategorize the between-group design into three experimental designs that include true exper...
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...n experimental design with the proper adjustments to reduce the threats caused by participants, treatments, and procedures (Creswell, 2008). With a significant decrease of threats, a researcher may therefore strongly support the relationship between the variables without much ambiguity. Internal validity is important in any experiment and given that various factors threaten it in all forms of experimental designs, addressing the threats should be a priority during the design of research. If we are going to make a difference in the field of education, as researchers we need internally valid research to support future research and drive educational reform in an attempt to better the education of our children.
Bibliography
Creswell, J.W.(2008). Educational Research: Planning Conducting, and Evaluating Quantitative and Qualitative Research. Pearson 3rd Ed.
If a study is confounded, the researcher is not absolutely certain that changes in the dependent variable were caused by the manipulation of the independent variable, or some other uncontrolled variable. In a non-equivalent control group post-test only design, any differences observed between the two classes may be due to the non-equivalence of the groups and not to the injection of quizzes. No pre-test measures were given to establish equivalence.
For the purpose of this descriptive study, a pre-experimental design was utilized. A limitation of the pre-experimental design is that it fails to include a control group. A single group was studied but no comparison between an equivalent non-treatment group was made.
Although changing criterion has many advantages over many designs, it also have limitations which include it is limited to a small array of behaviors and instructional, therefore the person who is running the research has the responsibility to make sure the criterion change is large enough to be observable, but small enough to be achievable (Gast and Ledford (2014). In addition a display of experimental control depends on how well the participant is willing to play a part in the
Richards, S. (1999). Single subject research: applications in educational and clinical settings. San Diego: Singular Pub. Group.
The research design that was employed by Martin for Sarah was a single-subject design. This is also called an A-B design. It simply means that the subject (Sarah) serves as her own control. There is no control group and experimental group in place, the data gathered is only from Sarah. It is a representation of her frequency of SIB (self-injurious behavior) over a four-day period with no intervention. Then an intervention is implemented which in this case a DRO or Differential Reinforcement of Other Behavior was chosen. That also took place over a period of four days and the frequency of her SIB behaviors was again recorded. That data was then compiled into a comprehensive chart to visually show the changes that occurred within that eight-day period.
According to Cooper & Heron & Heard 92007), the multiple baseline design is the mostly used by behavior analysts and researchers because it allows for the independent variable to be contrived across different settings, subjects, and behaviors, without having to implement a withdrawal procedure that can be detrimental to the client (p.201). Hence this research design allows for the behavior analysts to determine how behaviors may different from client to client (groups or several individuals, setting to setting (i.e. school vs. home), and behaviors (i.e. same behaviors in a group or individuals). To better understand the difference in the multiple baseline design all three of the designs must be examined.
Experimental designs are viewed as the most accurate, and most demanding of research designs, requiring strict attention to rules and procedures. Researchers use these research designs to manipulate and control testing procedures as a way to understand a cause and effect relationship. Commonly, independent variables are manipulated to judge or decide their effect on a dependent variable (Trochim & Donnelly, 2008).
The program used a quasi-experimental research design with a non-equivalent group design as the methodology...
Research design, the particular design of this problem is experimental, our text lists three (3) separate types of these: Experimental designs, Quasi-experimental designs, and Preexperimental designs (Hagan, 2010), the An Outcome Evaluation of Pennsylvania’s Boot Camp: Does Rehabilitative Programming within a Disciplinary Setting Reduce
Quasi-experimental studies have several issues that lead to lack of internal validity of the study. These occur as a result of the experimental conditions not being highly controlled or randomized. This leads to intervention and control groups being nonequivalent leading to issues with study design. This is what is evidenced in the study conducted by Yuan et al. (2009) where five units assigned a number of 8 to 10 voluntary participants to either the experimental or control groups. There is thought to be a risk of bias in assigning participants to the two groups as a result of this. This comes from the random error that occurs on measurements across the two different groups. This random error also affects the statistical conclusion validity
This paper will provide a hypothetical discussion of how each of the four “worldviews” (post-positivism, constructivism, advocacy/participatory, and pragmatism) might apply to the proposed study. It will refer to the topic paper developed during the class RSH9101B (Research Topic, Problem, Purpose, and Questions) with the assistance of Dr. Kenneth Gossett, class mentor. The portion of the Topic Paper to be used will be the problem statement, which will provide the foundation for this discussion and completion of this assignment. This discussion ultimately will lead to the strengthening of this research and the understanding for the need of better researches to help today’s virtual organizations.
This was a correlational design. Variables measured were traits taken from the FFM. Traits include conscientiousness and openness to experience. They were measured using the NIUS and the BFI. Participants were administered a compiled version of both surveys by their professor. Every participant received the same written survey with the items presented in the same order. Time to complete the surveys was given during class. After data was collected from the surveys, the MTMM was used to measure potential correlations.
A researcher uses an experiment to scientifically test out a hypothesis. In an experiment there are many different factors that are involved. There is the independent variable, which is the cause, it is the one that is being manipulated, and the dependent variable, which is the effect, is the response. When conducting a experiment it is important to make sure that the only thing than can affect the dependent variable is the independent variable. This is known as internal validity. Using random assignment to separate the participants into groups helps eliminate any outside factors, and creates an equal chance for all participants to be apart of the experimental conditions. There are many pros and cons to this type of method. The experimental method creates a strong control of the variables involved in the experiment, which allows an easier determination on cause and effect. If needed, it is fairly easy to replicate an experiment and is less time consuming than other research methods. However there are many downfalls as well. When conducting an experiment the setting of where the experiment is taking place is more artificial which may cause certain behaviors that wouldn’t occur in real life. This is known as external validity, which is the measure of how much the results of a study can be generalized and used in different situations, and people. To improve external validity cover stories are created when conducting experiments so the participants are not aware of what is really going on, or experiments are done in a natural setting as opposed to in a laboratory. However, this creates less control over confounding variables that can affect the experiment, which can create bias results (Aronson,
The first experiment that DeVoe and House (2012) conducted was to directly test their hypothesis. The procedure of this experiment was to take 53 undergraduate students (32 femal...
According to Mouton, research designs are tailored to address different kinds of research questions. Thus, when attempts are made to classify different kinds of research studies to different design types, they are classified by the kind of research questions they are able to answer. Research designs can be mapped out to the types of research questions (research problem) using four dimensions: 1) empirical versus non-empirical dimension, 2) using primary versus using secondary data, 3) the nature of the data (numerical versus textual data) and 4) the degree of control (structured (laboratory) conditions versus natural field settings)