2016
DOI: 10.33396/1728-0869-2016-2-49-56
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Cross-Sectional Studies: Planning, Sample Size, Data Analysis

Abstract: In this paper, we have described the main principles of cross-sectional studies planning and data analysis. A theoretical base for cross-sectional studies' design has been presented as well as advantages and disadvantages of this type of studies. We present the methods for sample size calculation and data analysis using statistical software. Calculation of confidence intervals using free software "Epi Info" and online calculators has also been presented. The main effect measures used in cross-sectional studies… Show more

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Cited by 26 publications
(11 citation statements)
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“…This may be considered as limitation of the study. In addition, the study questionnaire contained sensitive questions, which may have caused social desirability bias due to underreporting of high-risk behavior [ 39 ]. Blood sampling can be seen as unpleasant by some, and may have been a deterrent to study participation [ 40 ].…”
Section: Discussionmentioning
confidence: 99%
“…This may be considered as limitation of the study. In addition, the study questionnaire contained sensitive questions, which may have caused social desirability bias due to underreporting of high-risk behavior [ 39 ]. Blood sampling can be seen as unpleasant by some, and may have been a deterrent to study participation [ 40 ].…”
Section: Discussionmentioning
confidence: 99%
“…Participants took part in a population-based cross-sectional study using cluster sampling. Sample size for a cross-sectional study was calculated using Epi Info software [19]. A sample size of 402 in the smallest group is sufficient to produce a two-sided 95% exact confidence interval with a precision of 5% for the expected prevalence of malnutrition of 50%.…”
Section: Methodsmentioning
confidence: 99%
“…In the present study, the caregiver burden was considered a dependent variable, and other variables (such as depression, anxiety, stress, and other demographic variables) were assumed as independent variables. Then, the relationship between predictor variables and the caring burden was examined using multivariate regression analysis with a two‐sided significance level of 0.05 26 . Data were analyzed using the Statistical Package for the Social Sciences version 26.…”
Section: Methodsmentioning
confidence: 99%