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In determining the consistency, 70% or higher percentage is required. This refers as the coefficient of reliability. The coefficient reliability is a ratio measured between 0-1. 0 means no coefficient at all. A reliability of 1 means there is 100% efficiency. 0.7 is a standard, which is used to show the reliability. It is also important to have 0.3 of the population misinterpreting the instrument used.
This approach entails giving the test first and then providing a similar test after two weeks again to the same population. This will help in testing the reliability. The advantage is that the researcher is able to come up with fundamental and valid responses of the researchable item (Brunning JL, 1996). I support this method since it is able to give the exact data on stress since the exact population is being tested and retested.
Tis tool will help in determining the reliability of the test used by gauging the internal consistency or average correlations of the data provided . Depending on the method of data collection used, the tool is able to scale down and predict the level of reliability (Santos, 1999). The advantage associated with this tool is that it is able to use wide variety of data collection methods such as dichotomous or multi-questionnaires which are associated with a particular respondent.
A random selection of a control group and an experimental group while researching about stress is a simple way of ensuring that a test is valid. This process ensures that the level of bias is limited therefore minimizing errors.
The research will involve both quantitative and quantitative study in determining the number of students who are homeless and those who are housed. The research determines the effect of students who are homeless in comparison to the control group which include the students who are continuously housed during
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The fact that one group got to view the words twice is not a confounding variable, but the independent variable. As per the quote from Stangor (2011) above, with which you began your post, confounding variables are subject differences that are not the independent variable, and they arise spontaneously.
The second cluster ranging for the period 1st August 2007 to 31st July, 2008 consisted of registered nurses chosen from only 15 states helping in generating greater accessibility to newly registered nursing population. The nurses were also required to be registered under the state licensing scheme.
Nash equilibrium is a term used to describe a position where strategies taken by the players are at optimal point, given the moves taken by other players in the game. In Nash equilibrium, no industry or individual is in preference of a different choice. This means that each player chooses the best strategy given the approaches taken by the other players in the market (Kelly, 2003).
The process of choosing the most appropriate candidate from available candidates is called selection, which involves several steps that determine the candidates’ suitability for the job as regards his/her knowledge, qualifications, experience,
It would be noted that a quasi design is made up of the selection of groups and developing variables to be tested on the group. This is however not done with any random selection procedures (Cheng, 2009). The
The author states that some of the major characteristics of the people in the population in relation to the study include the fact that they are mostly first year students; as students in that faculty select different major subjects of study after the first year. Most of the students are foreign students, though they do not learn foreign language.
In a more collective term it indicates the significance of the relative size of the primary (agriculture), secondary (industry), and tertiary (service) sectors. The second version of structure is the number and size of major companies in the industry. For
The author states that internal validity refers to the certainty that a research presents true results of the relationship between the dependent and the independent variable in the study. External validity refers to the possibility of the findings and results of a research being applicable and generalized to other situations.