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Using double blind procedures in an experiment
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The double-blind procedure, a procedure that eliminates biasness hence generating more precise results is widely used by psychologists in experimental research to determine the cause-effect relationship. This essay will describe the nature, the purpose and advantages of using the double-blind procedure in scientific research.
Myers (2002) defines the double-blind procedure as a procedure where both the experimenter and subject are unaware about which subjects have received the actual treatment or the placebo. The subjects are randomly assigned to two different groups, that is the experimental and the control group. The former is given the actual treatment, while the latter receives a placebo which serves as an inauthentic substitute of a treatment that has no substantial chemical distinguishing qualities or active agent (Feldman, 1999). However, both groups do not know if they are receiving the actual treatment or not.
The double-blind procedure is usually used when testing a drug or in psychotherapy. When testing a drug, the person administering the drugs should be ignorant about whether they are dispensing the actual drug or the placebo (Feldman, 1999). For instance, the experimenter administers the drugs using a set of numbered containers. Alternatively, get someone else dispense them (Carlson & Buskit, 1997). For psychotherapy, someone performs the psychotherapy and someone else evaluates the results (Carlson & Buskit, 1997).
Several factors can affect the actual results of an experiment. Among them are experimental and subject bias. Experimental bias concerns anything that misconstrues the experimenter's comprehension of the relationship between the dependent and independent variable (Feldman, 1999). Subject bias is the tendency of the subject to behave atypically. The double-blind procedure evades experimental and subject bias as the experimenter evaluates results unbiased as the experimenter is uninformed about whether the subject has received the actual treatment or the placebo and the subject will behave normally as they do not know if they have received the actual treatment or the pseudotreatment, the placebo. Therefore, the results and any distinctions among the control and experimental groups are clearly based on the independent variable and has to be the effect of the treatment. For example, in an experiment to evaluate a drug that encourages engagement in conversations, after administering the drugs to the experimental group and the placebo to the control group, the experimenters talk with participants and evaluate the conversation's degree of excellence which are not easy to assess. Thus, the experimenter might be biased and unintentionally give the participants in the experimental group better evaluations because they know that this group has been administered the real drug (Carlson & Buskit, 1997).
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Stanley Milgram and Philip Zimbardo Conducted an experiment to test whether people would react differently under certain circumstances than they would normally react. They tested this by having a stranger administer an electrical shock to an unknown person. The stranger wouldn’t be able to see the subject getting shocked but would be able to hear them. The experimenter went through a number of trials asking the subject questions, and for every question they got wrong the shock would increase one interval. The stranger administering the shock would increase the intensity of the shock each time they were told to do so. They got to a point where they would be administering a lethal shock to the subject just because they were told to do so. In
In a multipart experiment, Hafenbrack et al. (2014) devoted Study 1 to establishing a positive correlation between mindfulness meditation and resisting suck cost bias. However, the popular press article is centered around studies 2, 3, and 4 of the experiment, all of which make causal claims (Bergland, 2014). In his article, Bergland (2014) correctly indentifies the testing of causal hypotheses by Hafenbrack et al. (2014); however, he fails to mention that the first of the four studies makes an association claim and incorrectly categorizes it as a causal claim. While this inaccuracy does not ...
Experimental research is the one type of research that allows psychologists to make causal statements. It is where the researcher changes one or more variables that may have an effect on some other variables (King, 2016). The hypothesis is a specific expectation about what is going to happen in the experiment (King, 2016). In the research, the hypothesis was that women would perceive fat talk to be more socially acceptable than men (Katrevich et al., 2014). The other elements of experimental method are dependent and independent variables. The independent variable (IV) is the cause of the results, and it is changed by the experimenter to find the effects, but the dependent vari...
David Rosenhans experiment contained two parts; the first was admitting pseudo-patients into psychiatric hospitals without the doctors or nurses knowledge. David Rosenhan and his participants all willingly committed themselves to the psychiatric hospital. “8 people without any history of psychiatric illness presented themselves at various mental hospitals. Each of these pseudo-patients arrived at the admissions office complaining of a single (feigned) symptom: vague auditory hallucinations” (Scribner). All of the participants came from a different background and were admitted into several different hospitals.
In order to have a successful, reliable experiment you need sufficient data and evidence, reliable research, variables to test and a follow – up experiment. There are several types of variables you need to do an experiment. An independent variable is the manipulated experimental factor that is changed to see what the effects are. A dependent variable is the outcome. This factor can change in an experiment in reaction to the changes in the independent variable. An experimental group is the group of participants that are exposed to the change that the independent variable represents. The control group is participants who are treated in the same way as the experimental group except for the manipulated factor which is the independent variable (King 24). Proper data, evidence and research is also needed so the experiment turns out correctly and you know what you are testing. A follow – up experiment is not required, however it helps the validity of the conclusion of the experiment. Validity is “the soundness of the conclusions that a researcher draws from an experiment” (King 25). Conducting a follow – up experiment will help researchers and people alike see if the experiment worked properly, continues to help people and see how participants are doing after the experiment is over.
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Researchers work hard to eliminate bias from outcomes through approaches that diminish subjectivity and modification from unknown sources. Randomization, use of well-matched controls, and blinding of analysts and researchers are some ways to try to a...
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The first method to be discussed and analysed are experimental methods. There is a variety of experimental methods including; laboratory, field and natural experiments. These methods are the most scientific method due to them being highly objective and systematic. In addition, this method is regarded as the most powerful research method used in psychology because of the potential to investigate the causes of events and therefore, identifying the cause and effect relationship. When carrying out an experiment the researcher intervenes directly in the situation being investigated. The researcher manipulates an independent variable (IV) in order to investigate whether there is a change in the dependent variable (DV). Any other variables that could have an
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