RESEARCH DESIGN-MEANING AND IMPORTANCE The research design is a comprehensive master plan of the research study to be undertaken‚ giving a general statement of the methods to be used. The function of a research design is to ensure that requisite data in accordance with the problem at hand is collected accurately and economically. Simply stated‚ it is the framework‚ a blueprint for the research study which guides the collection and analysis of data. The research design‚ depending upon the needs
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EXPERIMENTAL RESEARCH ... Joseph Luzzi‚ Ph.D.‚ Educational Psychologist Research designs are either experimental or non-experimental. Experimental research is conducted mostly in laboratories in the context of basic research. The principle advantage of experimental designs is that it provides the opportunity to identify cause-and-effect relationships. Non-experimental research‚ e.g.‚ case studies‚ surveys‚ correlation studies‚ is non-manipulative observational research usually conducted in natural
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analogue experiment blind design case study confound control group correlation correlational method dependent variable double-blind design epidemiological study A research method in which the experimenter produces abnormal-like behavior in laboratory participants and then conducts experiments on the participants. An experiment in which participants do not know whether they are in the experimental or the control condition. A detailed account of a person’s life and
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against which all other research designs should be judged. Experiments are conducted both in the laboratory and in real life situations. Types of Experimental Design There are two basic types of research design: True experiments Quasi-experiments The purpose of both is to examine the cause of certain phenomena. True experiments‚ in which all the important factors that might affect the phenomena of interest are completely controlled‚ are the preferred design. Often‚ however‚ it is not possible
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cotton brand is the response variable‚ and is measured by subtracting the final weight of liquid from the initial weight. Twenty samples have been subjected to the two conditions‚ therefore having five replicates for each combination of factors. The experimental data showed a significant difference among the results. Upon further examination‚ it was found out that the difference occurred due to the type of liquid used. The rate of evaporation and the densities of the liquids have contributed largely on
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statistical techniques for empirical model building. By careful design of experiments‚ the objective is to optimize a response (output variable) which is influenced by several independent variables (input variables). An experiment is a series of tests‚ called runs‚ in which changes are made in the input variables in order to identify the reasons for changes in the output response. Originally‚ RSM was developed to model experimental responses (Box and Draper‚ 1987)‚ and then migrated into the modelling
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Glossary Babbie Chapter 1 Human Inquiry and Science epistemology Science of knowing; systems of knowing methodology Science of finding out; procedures for scientific investigation Agreement reality Things we “know” as part of our culture; both assists and hinders us (tradition‚ authority) Errors in inquiry - Inaccurate observations - overgeneralization (few similar events –> evidence of pattern?) - selective observation (focus on things that fit our idea‚ ignoring the rest) - illogical
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desired result (output). Experiments can be designed in many different ways to collect this information. Design of Experiments (DOE) is also referred to as Designed Experiments or Experimental Design - all of the terms have the same meaning. Experimental design can be used at the point of greatest leverage to reduce design costs by speeding up the design process‚ reducing late engineering design changes‚ and reducing product material and labor complexity. Designed Experiments are also powerful tools
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Part 1 – Hypothesis: Sleep deprivation impairs task performance. Part 2 – Experimental Design: To begin the experiment‚ I would randomly assign 50 college students into two groups. The participants would not know the purpose of the experiment and they would not be able to make a choice about which group they are in. To begin‚ each person would be asked to study for a math exam‚ which will be taken the next day. Each person in the first group would be allowed to sleep for a maximum of 5 hours
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following problems: 1. What are single-case designs and when are they most useful? 2. How may a researcher enhance the generalizability of the results of a single case design? 3. What is the relationship between quasi-experiments and confounding variables? Provide an example. 4. Provide examples of: one-group posttest designs and one-group pretest and posttest designs. What are the limitations of each? 5. Provide examples of non-equivalent control group designs. What are the advantages of having a control
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