This chapter presents the findings from the data analysis, organized by research question and hypothesis. The results are presented objectively without interpretation, which will be addressed in the Discussion chapter.
4.1 Data Collection Summary
4.1.1 Response Rate
Total participants contacted: N = [number]
Completed responses: N = [number]
Response rate: [percentage]%
Excluded responses: N = [number] (reasons: [list reasons])
Final sample size: N = [number]
4.1.2 Data Quality
Missing data: [percentage]% overall
Complete cases: N = [number]
Data cleaning procedures: [brief summary of procedures applied]
4.2 Descriptive Statistics
4.2.1 Participant Characteristics
4.2.1.1 Demographic Information
Table 4.1: Participant Demographics
# Demographic table will be generated here
Table 4.1 presents the demographic characteristics of the sample:
Age: M = [mean], SD = [standard deviation], Range = [range]
Gender: [breakdown by categories]
Education level: [breakdown by categories]
Other relevant demographics: [additional characteristics]
4.2.2 Variable Distributions
4.2.2.1 Primary Variables
Table 4.2: Descriptive Statistics for Primary Variables
# Descriptive statistics table will be generated here
Table 4.2 shows descriptive statistics for all primary variables:
Levene’s test: F([df1, df2]) = [value], p = [p-value]
Breusch-Pagan test: χ²([df]) = [value], p = [p-value]
4.3.1.4 Multicollinearity
Table 4.3: Correlation Matrix and Multicollinearity Statistics
# Correlation matrix with VIF values will be generated here
Table 4.3 presents the correlation matrix and variance inflation factors (VIF). All VIF values were below [threshold], indicating no multicollinearity concerns.
4.4 Research Question 1: [Question Text]
4.4.1 Hypothesis 1: [Hypothesis Statement]
4.4.1.1 Primary Analysis
Table 4.4: Primary Analysis Results for Research Question 1
Figure 4.4 shows the path model for the mediation analysis.
Mediation Results: - Direct effect: b = [value], SE = [value], p = [p-value] - Indirect effect: b = [value], SE = [value], 95% CI = [lower, upper] - Total effect: b = [value], SE = [value], p = [p-value]
4.7 Additional Analyses
4.7.1 Exploratory Analysis
4.7.1.1 Unexpected Findings
[Description of any unexpected or interesting findings that emerged during analysis]
# Additional visualizations will be generated here
4.7.1.2 Sensitivity Analysis
Outlier analysis: [Results of outlier detection and impact]
Robustness checks: [Results of alternative analytical approaches]
Missing data sensitivity: [Results of different missing data handling approaches]
4.7.2 Subgroup Analysis
4.7.2.1 Analysis by [Grouping Variable]
Table 4.8: Subgroup Analysis Results
# Subgroup analysis table will be generated here
Table 4.7 presents results stratified by [grouping variable]: - Group 1: [Results summary] - Group 2: [Results summary] - Group comparison: [Statistical test results]
4.8 Qualitative Results (if applicable)
4.8.1 Thematic Analysis
4.8.1.1 Theme 1: [Theme Name]
[Description of theme with supporting quotes]
“Representative quote from participant” (Participant ID)
All reported effect sizes follow Cohen’s conventions: - Small effects: [effect size measure] ≈ [threshold] - Medium effects: [effect size measure] ≈ [threshold] - Large effects: [effect size measure] ≈ [threshold]
The current study found [summary of effect sizes and their practical significance].
4.10 Chapter Summary
This chapter presented the results of the data analysis addressing the three research questions. The findings indicate that [brief summary of main findings]. [Summary of supported/unsupported hypotheses]. These results provide the foundation for the discussion and interpretation presented in the following chapter.