How to write a cross-sectional study

Issues in the design of cross-sectional studies 2. Hence, creating awareness, understanding these diseases, and providing screening test in suspected individuals is the need of the hour which will improve the mortality rates related to them.

Eisenhardt 's methodological work. Cross-sectional studies using data originally collected for other purposes are often unable to include data on confounding factorsother variables that affect the relationship between the putative cause and effect.

Research Designs

The investigator measures the outcome and the exposure s in the population, and may study their association.

As discussed in the earlier articles, we have highlighted that in an observational study, the investigator does not alter the exposure status. Because case-control studies are usually based on individual-level data, they do not have this problem.

For example, it might be true that there is no correlation between infant mortality and family income at the city level, while still being true that there is a strong relationship between infant mortality and family income at the individual level.

It is also possible that the investigator will recruit the study participants and examine the outcomes in this population. To a large extent the interpretation of cross-sectional studies is similar to that of case-control studies.

Understanding Cross-Sectional Data With Examples

Questionnaire has included the questions about general knowledge about oral cancer, causative factors, signs and treatment of oral cancer. Nevertheless, majority of the cross-sectional studies gather at least some of the data through questionnaires.

The conclusions may also be biased by the prejudices of the researcher-interviewer. The characteristics of the present diarrheal illness as well as biodata, social class, use of ORS solution, and the method of preparation were documented in children with diarrhea at the Wesley Guild Hospital, Ilesa, Nigeria.

Furthermore, we will also be able to estimate the odds ratios to study the association between exposure and the outcomes in this design. Although working is human's best recreation, due to adverse physical, social, and psychological stimuli, it has adverse effects on family relationships, marital satisfaction, and the quality of people's lives.

The aim of this study was to investigate the preparation and use of ORS for the treatment of childhood diarrhea in Ilesa, Nigeria. Furthermore, work stress had a negative correlation with age and work experience.

A brief description of the geography of the area, e. In analytical cross-sectional studies, the odds ratio can be used to assess the strength of an association between a risk factor and health outcome of interest, provided that the current exposure accurately reflects the past exposure.

In I developed a first draft of a format and I have been adapting that ever since. A Study of Schumpterian (Radical) vs. Kirznerian (Incremental) Innovations in Knowledge Intensive Industries Cory Taylor Cromer Oregon State University.

Case study

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Cross Sectional Study. Cross-sectional studies are a type of descriptive epidemiologic study in which the exposure and disease status of. In medical research and social science, a cross-sectional study (also known as a cross-sectional analysis, transverse study, prevalence study) is a type of observational study that analyzes data from a population, or a representative subset, at a specific point in time—that is, cross-sectional data.

HOW TO WRITE A RESEARCH PAPER. Will G Hopkins PhD. Department of Physiology and School of Physical Education, University of Otago, DunedinNew Zealand. Study Design 23 BOX A Short Checklist for Designing a Study Steps Involved in Designing a Study • Outline of study • Title of study • Research question (what is the overall, broad question?).

How to write a cross-sectional study
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Cross Sectional Design : Usage and Examples