Results for Data Analysis

Submit your results for your data analysis. Include
Descriptive Statistics for the variables: Child Age, Youth Anxiety (mean, median, mode, range, variance, standard deviation, minimum, maximum)
Frequencies: Gender, School, Intervention Type
Histogram: Youth Anxiety
T-Test: Dependent variable: Youth Anxiety, Grouping by: Intervention Type (with effect size, descriptives, plots, assumptions (homogeneity, normality)), Hypothesis (NULL)
Interpret the T-test (was it significant or not) and effect size (weak, moderate, or strong)

Descriptive Statistics

Variables: Child Age, Youth Anxiety

1. Child Age:
   • Mean:
   • Median:
   • Mode:
   • Range:
   • Variance:
   • Standard Deviation:
   • Minimum:
   • Maximum:
2. Youth Anxiety:
   • Mean:
   • Median:
   • Mode:
   • Range:
   • Variance:
   • Standard Deviation:
   • Minimum:
   • Maximum:

Frequencies

Variables: Gender, School, Intervention Type

1. Gender:
   • Frequency of Male:
   • Frequency of Female:
2. School:
   • Frequency of School A:
   • Frequency of School B:
   • Frequency of School C:
3. Intervention Type:
   • Frequency of Type 1:
   • Frequency of Type 2:
   • Frequency of Type 3:

Histogram

Youth Anxiety

A histogram depicting the distribution of Youth Anxiety scores.

T-Test

Dependent Variable: Youth Anxiety

Grouping by: Intervention Type

• Null Hypothesis (H0): There is no significant difference in Youth Anxiety scores between different intervention types.

Assumptions:

1. Homogeneity of Variances:
   • Levene’s Test results: (indicate p-value)
2. Normality:
   • Shapiro-Wilk Test results for each group: (indicate p-values)

T-Test Results:

• t-value:
• Degrees of Freedom (df):
• p-value:
• Effect Size (Cohen’s d):

Interpretation of T-Test:

• Significance:
  • If the p-value is less than 0.05, we reject the null hypothesis, indicating a significant difference between the groups.
  • If the p-value is greater than 0.05, we fail to reject the null hypothesis, indicating no significant difference between the groups.
• Effect Size Interpretation:
  • Cohen’s d values:
    • 0.2: Small effect size
    • 0.5: Moderate effect size
    • 0.8: Large effect size