Secondly, Torres analyzed the quantitative data by developing a model that reconfigured Nora et al.'s previously used scales. The data was tested by using "latent variable structural equation modeling (SEM) to assess the data-model fit" (302) to examine the causal influences on why students stayed or did not stay in college.
The sixth step is to assess the author's reason for using mixed methods research. Torres used a mixed method design because the study was part of a customized longitudinal research project, and the use of both quantitative and qualitative data offered more insight into the choices of Latino/a college students. The seventh step is to determine how the two types of data were mixed. In this case, the qualitative data was collected and analyzed. By using the themes found in the qualitative data, a model was developed and tested during the quantitative phase.
The eighth step is to identify the mixed methods approach by using the mixed methods notation system. Torres's research can be described as QUAL + quan...
Thus, it is implied, it was in the best interests of the school districts to 'shed' such unwanted students. Purpose of study The purpose of the study was to build upon existing research upon the effects of introducing high-stakes testing into a state on the students themselves. Method for collecting data 271,000 students were studied 1995-2002 in the state of Texas, to examine the effects of the first wave of high-stakes testing upon
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Heart Failure Literature Critique of Articles concerning Heart Failure The two articles in this literature review are concerned with different aspects of care for patients diagnosed with some stage of heart failure (HF). Heart failure is one of the most prevalent and debilitating diseases worldwide and is the leading cause for hospitalizations for people older than 65 years (Schwarz, Mion, Hudock & Litman, 2007). These two articles look at ways of
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