Explain Maxwell’s interactive model of research design in your own words. Why is it “interactive?” Planning or conducting a study requires research and a good design. “A good design, one in which the components work harmoniously together, promoting efficient and successful functioning; a flawed design leads to poor operation or failure” (Maxwell, 2013, p. 2). When conducting research, the research questions are the normal starting point. They are what drives the study and, therefore, the piece that controls the design which all other components must follow (Maxwell, 2013). With the research questions at the center of the design, unlike typical research models, the interactive model of research design is connected in such a way as to provide …show more content…
The research questions have the greatest effect on the other four components and, at the same time, are highly sensitive to them (Maxwell, 2013). The component parts of the model, which are constantly evolving, support and depend on each other. Flexibility is required as the study may be modified throughout the process. Therefore, the significance of interactivity is that this type of design affords the researcher the ability to easily manipulate and/or modify the research design as the goals or conceptual framework changes. Maxwell’s research design has a definite structure. At the center of the design study, research questions should have a clear relationship to the goals or issues you want to address and why. Subsequently, the goals of the research should reflect previous knowledge, current theories and concepts and how they relate to the subject. However, if the research methods do not allow you to answer your research questions and/or validate them, your design will be …show more content…
On the other hand, Quantitative research refers to “variance theory” where quantity describes the research in terms of statistical relationships between different variables (Maxwell, 2013). Quantitative research answers the questions “how much” or “how many?” Quantitative research is an objective, deductive process and is used to quantify attitudes, opinions, behaviors, and other defined variables with generalized results from a larger sample population. Much more structured than qualitative research, quantitative data collection methods include various forms of surveys, personal interviews and telephone interviews, polls, and systematic observations. Methods can be considered “cookie cutter” with a predetermined starting point and a fixed sequence of
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The design of a study defines the study type (descriptive, correlational, semi-experimental, experimental, review, meta-analytic) and sub-type (e.g., descriptive-longitudinal case study), research problem, hypotheses, independent (IVs) and dependent variables (DVs), experimental design, and, if applicable, data collection methods and a statistical analysis plan. Research design is the framework that has been created to find answers to research
There are 3 types of research design which can be used in conducting studies which consists exploratory research, descriptive research and causal research. Exploratory research is used when few or no previous studies exists (Neville, 2007). While, causal research is a type of investigation in which the researcher has no direct...
Leedy, P. D., & Ormrod, J. E. (2010). Practical Research Planning and Design (9th ed.). Upper Saddle River, NJ: Pearson Education, Inc.
This paper will exam aspects of correlational design. According to Fabiano-Smith (2011), correlational designs are non-experimental research designs that focus on observing variables as they naturally exist. Since this design type is non-experimental, one of its major disadvantages is the focus on the relationship of the variables and not is cause and effect between the variables. Despite this weakness, correlational design does have several strengths. It observes the variables as they occur in a natural setting without manipulation. Researchers often use the initial establishment of correlational relationships between variables to identify what variables should be further studied for cause and effect utilizing experimental designs.
The “[r]esearch designs are types of inquiry within qualitative, quantitative, and mixed methods approaches that provide specific direction for procedures in a research design” (Creswell, 2014, p. 12). Following Bryman (2012, p. 45), the literature differentiates between the five research designs: experimental, cross-sectional, longitudinal, case study, and comparative.
Advantages associated with quantitative descriptive design prompted choosing the design. One advantages of the quantitative descriptive design is accommodation of large amounts of data. For this study, feedback from the students is needed in order to guide decision making and
A strategy to be able to do the research in a structured manner was set up. This was needed so to be able to view the research question and be able to answer it in a structured manner, for this reason concepts were identified and listed.
Researchers need to understand methodology before a study is conducted in order to have a clear understanding of the research methods and for the researcher to become familiar with the research method used(Study.com, 2015).
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.
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 nature of research instruments, the sampling plan and the type of data the research design constitutes the blueprint for the collection, the measurement and analysis of data. It aids the researcher in the allocation of his limited resources by posing crucial choices.
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)