An observational study design that could be appropriately used by an APN to study the above research question is a cross sectional study design. Important questions to make this study applicable, is it appropriate; is the characteristics between prevalent and incident cases a factor; have other explanations been ruled out? According to Curley & Vitale (2012), the cross-sectional study determines the exposure and outcomes at the same time. It provides a “snap shot” at one point in time. The information
what exactly their study will consist of, they must now decide how the information will be analyzed. One of the most important factors to consider when deciding whether to utilize a longitudinal or cross-sectional method to retrieve data is how much time and how variables do you have to measure. The main difference between the two is that longitudinal studies are conducted over a period, and cross-sectional comparisons are made at a sole point in time. When initiating your study, it will be your research
observational and correlational study which repeatedly study the same variables over long time, usually for many years. In this study method, researcher do not make any change in environment. Types of Longitudinal Study; 1- Panel Study; collecting samples from the sample subjects. 2- Cohort Study; Selecting a group of individuals based on a specific variable, for example, specific geographical location, birth year or historical experiences. 3- Retrospective Study: Finding out about a specific
appropriate than others. For example, clinical and laboratory experimental trials might receive better consummation if they use Quasi-experimental and Classical Experimental design rather than Cross Sectional Studies and Longitudinal Studies which focuses more on psychological experiments and behavior studies (Addison) (2015).
Cross-sectional Because cross-sectional surveys can be done using the mode of data collection questionnaires . The survey was conducted by planning a single data collection in order to study population satisfaction and to make a quick and easy analysis of the data. The data is easy to collect and analyze, and is less time-consuming than case-control or cohort studies. Contains multiple variables at the time of the data snapshot. Not costly to perform and does not require a lot of time. Weaknesses:
Cross sectional study design is a part of the descriptive epidemiology. Additionally, data in cross sectional study is gathered at a certain point in time. Of course this has its positive and negative sides. One of the positive sides is that cross sectional studies often do not require a lot of resources to be conducted, as well as they are quite sturdy against information bias. They
on the external contingencies (Peterson & Krivo, 2010, p. 92). Based on Table 4.5 of Divergent Social Worlds: Neighborhood Crime and the Racial-Spatial DivideI, minority low-poverty areas have roughly two and a half times more violence than their white counterparts (Peterson & Krivo, 2010, p. 88). Social disorganization theory insists that residential instability (percent of those who owns and percent of those who rent) , population heterogeneity (internal differences, including ethno-racial differences)
1. EXPERIMENTAL RESEARCH DESIGN ‘Experiments are quite unusual, but are employed in related areas of analysis and is used as a yardstick against which non-experimental research is assessed. Experimental research is frequently held up as standard because it prompts considerable confidence in the strength and trustworthiness of causal findings. True experiments tend to be very strong in terms of internal authority’ (Bryman, 2012, p.50). In order to conduct a true experiment, it is necessary to manipulate/influence
there are two kinds of studies regarding time horizons: cross-sectional studies and longitudinal studies. Longitudinal research refers to studies focused the change and development (Saunders et al., 2009). Bryman and Bell (2011) indicated longitudinal studies are time-consumed and costly, mostly applied to business and management research. On the contrary, cross-sectional studies focused on the phenomena at a particular time. Also, comparing to longitudinal studies, cross-sectional research is less costly
life burden of co-morbid cardiovascular disease and major depressive disorder in Australia: findings from a population-based, cross-sectional study’, Quality of Life Research, vol. 22, no. 1, pp. 37-44. The article “The health-related quality of life burden of co-morbid cardiovascular disease and major depressive disorder in Australia: findings from a population-based, cross-sectional study”, was written by Adrienne O’Neil (PhD in Public Health, Faculty member, Department of Epidemiology & Preventive