Wednesday, June 12, 2019
Implementing Measurements and Testing Models Essay
Implementing Measurements and Testing Models - Essay ExampleSampling is done primarily because a population may be very large and divers(a) making it impossible for the researchers to study all of them given the available resources as well as the element of time.The Sloven formula is commonly used to look for the sought after sample size based on the total population and the margin of error or confidence level. The formula for computing the sample size is as followsTo determine the sample population for a study on drug use of prisoners in the State facilities, the researcher may use class-conscious random sampling. Stratified random sample involves subdividing the population into smaller homogenous groups to get more accurate information (Best, 2003). It is a commonly used chance method that is superior to random sampling because it reduces sampling error. A stratum is a subset of the population that shares at least one common characteristic. Examples of stratums might be males and females, or managers and non-managers. The researcher first identifies the relevant stratums and their actual representation in the population. Random sampling is then used to select a sufficient count of subjects from apiece stratum. Sufficient refers to a sample size large enough for us to be reasonably confident that the stratum represents the population. Stratified sampling is oftentimes used when one or more of the stratums in the population have a low incidence relative to the other stratums (http//www.statpac.com/surveys/sampling.htm)Since prisoners are detailed in several areas spread all throughout Oklahoma, distributing the sample population according to the area or location of the facility and relative to the number of inmates in each area would ensure representation of each facility. Assuming that the survey research will be conducted in the facilities under the Oklahoma State discussion section of Corrections, and the desired margin of error is 1% or at 99% con fidence level, we can compute for the desired sample size of a population much(prenominal) as 20,306 inmates as of December 8 figures in the OkDOC database using Sloven formula -n = N/(1+Ne2)n = 20,306 / 1+ (20,306 ) (.01) 2 n = 20,306 / 1 + (20,306) (.0001)n = 20,306 / 1 + 2.0306n = 20, 306 / 3.306n = 6,142.16 or 6143Thus, the total number of respondents to the survey on drug use among inmates in the Oklahoma State Department of Corrections will be 6,142 inmates. This figure will be drawn proportionally from the different facilities throughout the State according to their actual count of inmates. base on percentage share computed in Appendix A, the following will be the distribution of inmate-respondent in each facility.Table 1 - Distribution of Respondents per easeFACILITIES NAME% of total popn of respondent per facility**1. Charles E. Bill Johnson Correctional perfume2.11292. Dick Conner Correctional Center4.72893. Dr. Eddie Warrior Correctional Center3.72274. Howard McLeod Correctional Center3.1 one hundred ninety5. Jackie Brannon Correctional Center3.62216. James Crabtree Correctional Center3.92407. Jess Dunn Correctional Center4.82958. Jim E. Hamilton Correctional Center3.42099. John Lilley Correctional Center3.622110. Joseph Harp Correctional Center6.841811. Lexington A & R Center212312. Mabel Bassett Correctional Cent
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