This study was planned to examine the effects of aromatherapy applied to children aged 9-12 on exam anxiety, attention deficit and academic success. The study was conducted as single blind.
Hypotheses of the Study H1: Children given lemon aroma with an aromatherapy diffuser have higher Burdon Attention Test mean scores than children in the placebo group; H1.1. Burdon Attention Test mean scores are higher. H1.2. Westside Exam Anxiety mean scores are lower. H2: Children given lavender aroma with an aromatherapy diffuser have higher Burdon Attention Test mean scores than children in the placebo group; H2.1. Burdon Attention Test mean scores are higher. H2.2. Westside Exam Anxiety mean scores are lower. H3: Children given lavender aroma with an aromatherapy diffuser have lower Westside Exam Anxiety mean scores than children given lemon aroma; H3.1. Westside Exam Anxiety mean scores are lower. H3.2. Burdon Attention Test mean scores are higher.
Must be between the ages of 9-12
Must have family permission to participate in the study
Must have children who can give consent to participate in the study
Having a chronic disease related to the respiratory system
Being allergic to lemon or lavender aroma
Being a child with special needs
Being included in an Individualized Education Program (IEP)
Parallel
Before Application
Other interventionAll groups will be asked to fill out forms before the application (Westside test anxiety scale, burdon attention test, descriptive information form)
Before the 1st Written Exam
Other interventionFill out forms before the 1st written exam (Westside test anxiety scale, burdon attention test, descriptive information form)
End of Term
Other interventionFill out forms at the end of the term (Westside test anxiety scale, burdon attention test, descriptive information form)
Power Analysis and Time
Input Parameters: * Effect size (f): 0.5 (A medium-high effect size) * α error prob: 0.05 (Type I error rate, 5%) * Power (1-β err prob): 0.95 (Power, 95%) * Number of groups: 3 (Number of groups) Output Parameters: * Noncentrality parameter λ: 16.5 * Critical F: 3.14281 (Critical F value for ANOVA) * Numerator df (degrees of freedom): 2 (Groups - 1) * Denominator df: 63 (Sample size - number of groups) * Total sample size: 66 (Calculated total sample size) * Actual power: 0.95347 (Quite close to the expected power) Accuracy of Calculations: * It is seen that an analysis suitable for the input values was performed. * The total sample size (66) is reasonable given the given α, power, and effect size. If you plan to run an ANOVA test with these parameters, the results will be valid. A total sample size of 66 is sufficient for 3 groups. TİME: It will take approximately 4-4.5 months until the spring semester education is completed.
Data Analysis and G*Power Analysis
The survey and scale data to be obtained will be analyzed using the SPSS (Statistical Package for Social Sciences) for Windows 22.0 program. Mean, standard deviation, median, minimum and maximum values will be used in the descriptive statistics of the data. Kurtosis and skewness values of the distributions will be examined in order to determine whether the distributions show a normal distribution in determining the statistical techniques to be used in the analysis of the data. The relationship between the three variables will be examined with the One Way Anova Test. Chi-Square analysis will be applied while examining the relationships between the groups of nominal variables. In order to determine whether the difference between the test score averages before the application, after the 1st written exam and at the end of the term is significant between the groups, variance analysis will be applied in repeated measurements (one-way for group and time, two-way for group\*time).
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