Adams, Chien, and Sheryl used logistic regression in their study that investigated breast cancer treatment between two categories of women and the statistic is applicable to the level of measurement that is ordinal. Logistic regression establishes odds ratio between binary…
Kazemi, et al. used generalized estimating equations and logistic regression to analyze effects of motivational interviewing on frequency of blackouts among first year students. Generalized estimation equation is appropriate to the correlation problem and the discrete scope of variables on which it is used. Logistic regression is also applicable to the factor as blackout and gender were measured on a categorical, discrete, and binary scale. Other variables were measured on other scales but these are applicable to the estimating models (Muth, 2009). Inferred binary assumption on blackout and gender are also valid.
Badger and Werrett however used descriptive statistics for analysis and this is consistent with the discrete and ordinal scope of the analyzed data. Frequency of occurrence was the focus of the descriptive study that lacked assumptions on the investigated variables. The statistics are however effective for the study’s objective (Muth, 2009).
Awerczek et al. also used descriptive statistics for quantitative aspects of their study. The discrete nature of the investigated variables, measurable on ordinal scale, justifies use of descriptive statistics such as percentages but no assumption can be deduced from the analysis to justify the ...
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(“Statistical analysis Essay Example | Topics and Well Written Essays - 250 words”, n.d.)
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(Statistical Analysis Essay Example | Topics and Well Written Essays - 250 Words)
“Statistical Analysis Essay Example | Topics and Well Written Essays - 250 Words”, n.d. https://studentshare.net/nursing/724233-statistical-analysis.
It examines the effects of low self-control, rational choice variable, and control measures on intentions to cheat in a college exam. The sample consisted of a total of 330 undergraduate students who were enrolled in six Behavioral Science courses at a public university during the spring of 1995.
Descriptive statistics should be used before inferential statistics. The data will be summarized through calculation of measures of central tendency such as mean and median. Range and standard deviation as measures of dispersion/ variation will also be calculated.
Conjoint analysis is a multivariate statistical method which analyzes the relative importance of various factors (variables) involved in decision making process which was used in this study to find out the factors involved in the decision making process for the care giving to a patient with dental abscess and ID.
The researcher decided to use quantitative approach to help us decide on a single research paradigm for the job satisfaction study. According to some researchers, "To use both paradigms adequately and accurately extends dissertation studies beyond normal limits of size and scope".
The p-value is greater than , therefore we accept the null hypothesis. This also implies that in the lartin square design, the sum of squares due to job satisfaction all additive, therefore when the error sum of squares is brought in we can determine the total sum of squares easily.
One of these research endeavors is underway at present, namely the AIU study which looks at job satisfaction via an intrinsic model, an extrinsic model, and an overall satisfaction score. Further details of computation of each of these scores will be made available at a later time.
Inadequate attention to these factors could lead to inaccurate and insufficient data that no amount or depth used in the subsequent analysis can make up for. “Statistics is a subject which stands on two legs: one is data collection and analysis, and the other is