Advantages And Disadvantages Of The Cross-Sectional Study Designs

For my paper I will be discussing in depth the responses to the questions posed at the end of the study as follows. What kinds of problems are inherent in Jolene’s research project? How would these problems affect the research results? How would you solve these problems? What should Stefanie do? What would the consequences of these actions be for Jolene? For Dr. Lee? For Stefanie

For the purpose of this study, the researcher intends to use a cross-sectional research design where all the data will be collected at the same time. The distribution of the research questionnaires will take place over a time period of two weeks where the main data will be collected from the respondents.

Palmer, Lee, Maya Dutta-Linn, Wroe, and Hartmann (2013) conducted a cross-sectional qualitative study to evaluate stakeholders’ view regarding addition of catheter associated urinary tract infections (CAUTIs) in the 2008 CMS payment policy and its impact on healthcare institution practices. A sample of thirty six infection preventionists from non-federal, acute care hospitals participated in the semi-structured telephone interviews where they were audio-recorded, transcribed, and coded thematically. The study was approved by the institutional review boards (IRB) of the participating institutions.

The participants may not have been willing to answer the questions. They might not wish to reveal the information or they might think that they will not benefit from responding perhaps even be penalised by giving their real opinion. Students should be told why the information is being collected and how the results will be beneficial. Some advantages of the methods would be that information can be collected from a large portion of a group.

Design: The study is quantitative, cross-sectional, secondary data study and will be focusing on the fiscal year 2015.

Was the sample approach adequate for the research design that was selected and explain why.

Williford (2015) conducted a cross-sectional qualitative study using a sample of both certified and noncertified elementary school staff members with the purpose of examining whether differences exist between these two groups on measures of attitudes towards bullying, perceptions of the prevalence of bullying, self-efficacy beliefs to intervene, and overall school climate. IRB approval was granted prior to implementation at the University of Kansas and participating school districts. School staff in six elementary schools were recruited to participate in an online, anonymous survey created in Qualtrics. A total of 252 school staff members participated (87 noncertified members and 165 certified staff members).

What kind of result was found by the research design? Compare the effectiveness of the survey research to the other subordinate data, experimentation or observation in the perspective of gathering information for this project.

Research utilization and critical thinking among newly graduated nurses: predictors for research use. A quantitative cross-sectional study

Human development research seeks to understand age-related differences. Cross-sectional studies assess a number of people at one point in time, which allows us to compare age characteristics or particular age groups. This allows us to compare characteristics of particular age groups. When evaluating cross-sectional studies, one must look out for cohort effects, differences not attributable to age but to the particular time period in which the individual lived. This confounding effect obscures any relationship between age and experiences that might contribute to an understanding of development. Longitudinal studies, in contrast, are far more reliable and can be used to support definitive studies. “Longitudinal studies assess the same participants

Cross sectional designs involve studies of one group at one time and usually refer to a representative sample of this group. Longitudinal studies are studies of the same group over a period of time and generally are studies of change (Hagan, 2010, p. 83).Longitudinal design means the same subjects are observed multiple times in other words the researcher study the same variables over a preceding time, it is an observation done again several times in the same way. An advantage of longitudinal design is the ability to show a repeated or particular way in which something is done over time whereas the researcher can learn about the causation between actions such that one or more are the result of the other. The disadvantage of longitudinal design

You can talk about age related differences, but you cannot show age related changes with a cross sectional studies. The old cross sectional studies tended to show that age related differences began early in adulthood and continued to be apparent later. But, we have a more contemporary view and it is a lot more positive. The notion is that while there are some age differences and decline, it is less extreme than initially reported. There is a difference between cross-sectional studies and longitudinal studies because:

Once a researcher has determined 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 question that will dictate which method to use. Both cross-sectional and longitudinal studies can be looked at as observational studies, in which data is being recorded about participant without controlling the environment of the subjects.

For the most part, they have proven that MT is a long way from replacing actual humans; however, despite all these issues, many recognize that these tools, particularly Google Translate, do have useful applications, especially for the public. I will begin by outlining the main issues found when using these tools by citing two studies.

To select the most effective and relevant research design, the team used a so called “Research Onion” (Saunders, Lewis and Thornhill, Research Methods for Business Students, page 83, year 2015). As the most suitable research design for this project we selected the non-experimental because it can be carried out in natural environment and survey is one example of this type