¶ … population included in the study, the methodology employed by the investigators, the data analysis in the study, the authors' interpretations of their results, limitations of the study, etc. Finally how well or how poorly the study was performed.
Holt et al. (2012) investigated the epidemiological characteristics of a group of children who were hard of hearing. They wanted to identify the predictor variables that determined timely follow-up after a failed newborn hearing screening, and variables that hindered timely follow-up.
The authors studied 193 children from three states each of whom had hearing loss and did not pass the newborn hearing screening. Available records were used to capture ages of confirmation of hearing loss, hearing aid fitting, and entry into early intervention. Linear regression models were used to investigate relationships among individual predictor variables and age at each follow-up benchmark.
The authors discovered that of all variables only level of mother's higher education was significantly related to timely follow-up and fitting of hearing aids. Severity of hearing loss was not. There were no particular variables that correlated with age of entry that children were tested. Each recommended benchmark was met by a majority of children, but only one third of the studied population met all of the benchmarks within the recommended time frame.
The authors recommended that specific attention be focused on children of underprivileged communities need extra...
transforms correlations among a set of observed variables into smaller number of factors, containing essential information about the linear inter-relationships among the original test scores (Kriegel, Kroger, Sander, & Zimek, 2011). Factor analysis is used in behavioral sciences, social sciences, and other applied sciences dealing with large quantities of data. In addition, factor analysis is subdivided into two major groups; exploratory and confirmatory. Cluster analysis on the other hand
This problem is particularly acute among many impoverished African nations, although some African countries such as South Africa have made significant progress in developing their technological infrastructure in recent years (Tucker, Bachman, Klahr, Meza & Walters, 2008). There have been some innovations in recent years, though, that may make the lack of a technological infrastructure in a given country of less import than in years past. For example, Hindman (2008)
2008 Tenth Grade National-survey by Samhda/Icpsr Substance Abuse & Mental Health Data The study extracted data from the 2008 10th Grade National Survey SAMHDA/ICPSR. A five-factor exploratory factor analysis was conducted. Factors were labeled Marijuana, Alcohol, Weekend Alcohol, Graduation, and Periodicals. Total variance for the analysis was 88.467. The factor showing the highest percentage of variance was Marijuana. More variables loaded on Alcohol than other factors. Respondents did not perceive consumption
The basis of these explanations is the chain-of-events theory of the causes of aviation accidents or incidents. HFACS categorization framework has four level sie. unsafe acts, organizational factors, preconditions for unsafe acts, and unsafe supervision. In attempts to deal with human error, Human Factor Analysis and Classification System can be both proactive and reactive. The system can be proactive when used as a framework for predicting unsafe acts that contribute
Cluster Analysis By using two different data sets, this paper aims at improving two analyses conducted relating to leadership effectiveness and community policing studies. In addition, in the paper, reliability tests and factor analyses on some of the six scales of importance used in the Community Policing study are looked at in-depth. Besides, the analysis conducted by Dr. Eveland is re-evaluated in this paper. Leadership Effectiveness From the report conducted by Dr.
Entrepreneurial Intentions: Factors Influencing Intentions Among Arab Students Factors Influencing Intentions among Arab Students: Entrepreneurship Entrepreneurship can be defined as the process and mindset to initiate and develop economic activity. Studies have shown entrepreneurship to be a crucial driver of economic growth. This study sought to examine the factors that influence entrepreneurial attitudes among students in Arab countries. More specifically, it sought to examine the role of universities, role models, the entrepreneurial
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