4.2. Research Instrument and Measures
Since this study is based on questionnaire data, reliability and validity testing were conducted to ensure the consistency and accuracy of the measurement instrument. Internal consistency was assessed using Cronbach’s Alpha, while construct validity was verified using Pearson correlation coefficients (PCCs) between each item and its respective dimension. All constructs achieved values above the minimum acceptable threshold of 0.70, confirming that the research instrument was both reliable and valid for empirical analysis.
The questionnaire used in this study was structured into four main sections, each designed to measure key constructs related to the research objectives. The first section collected basic background information from respondents, including age, gender, education level, occupation, investment experience, and average monthly investment. The second section measured the independent variable, IS, through four subdimensions: MO, RA, HB, and EI. These dimensions reflect psychological and behavioral tendencies that influence investment decision-making. The third section assessed the dependent variable: TSR. The fourth section measured the moderating variable, FL. It evaluated respondents’ self-assessed knowledge and confidence in interpreting financial statements, understanding investment concepts, and evaluating both financial and sustainability performance. The items were designed to capture both basic and advanced FL, as well as familiarity with sustainability-integrated financial analysis. Respondents indicated their level of agreement with various statements on a 5-point Likert scale (1 = Strongly Disagree to 5 = Strongly Agree). To avoid loss of meaning due to translation from English to Arabic, the researcher conducted a dual translation process whose results confirmed no linguistic deviations.
Measurement design is grounded in both behavioral finance and accounting disclosure literature. The inclusion of IS dimensions (MO, RA, HB, and EI) reflects established findings that optimism, risk preference, social influence, and emotions shape investment decisions. Importantly, this study extends these constructs into the accounting domain by linking them to trust in sustainability reporting. The dependent variable, TSR, is operationalized in line with prior accounting studies emphasizing disclosure accuracy, comparability, and trust. The moderating variable, FL, captures both basic financial skills (e.g., interpreting statements) and sustainability-specific literacy (e.g., integrating ESG into analysis), reflecting the critical role of user sophistication in evaluating disclosures. Together, these measures provide a comprehensive framework that situates behavioral variables within an accounting disclosure context, addressing a gap in prior literature.
4.3. Analysis and Results
The statistical measures for the descriptive sample characteristics include the Arithmetic mean (AM), the Standard deviation (SD), Relative importance (RI) and ranking based on measures of the five-point Likert scale used for this research. Cronbach Alpha Coefficient (CAC) for measuring stability of the independent variable (IS), moderating variable (FL) and the dependent variable (TSR) was used. The CAC values of all dimensions are greater than 0.70 which means a high degree of internal stability for the questionnaire. The CAC for the total sample reached (0.856), which indicates a high degree of internal consistency of the study instrument, which reflected its impact on Validity, estimated as the square root of reliability, as it reached 0.925. The value of CAC for Variable (IS) X is (0.820), and ranges between (0.802, 0.836) for its dimensions. It is (0.832) for the moderator variable (FL) and is (0.843) for the dependent variable Y (TSR), as shown in
Table 1:
The internal consistency is calculated using PCC to measure the relationship between each statement and the overall degree of consistency with the total of its dimensions. The correlation coefficients are computed for each of the dimensions with the total score of that dimension, at a level of significance less than 0.01, where the first column reflects the dimensions, and the second column is the correlation coefficient for each dimension. Correlation coefficients are between 0.692 and 0.857, indicating the validity and consistency of the study tool, which is illustrated in
Table 2.
Table 3 shows that the PCCs computed for each of the statements of the dependent variable (TSR) with the total score of that variable, at a level of significance less than 0.01 are between 0.535 and 0.831, which indicates the validity and consistency for the study tool.
Table 4 shows that PCC is computed for each of the statements of the moderating variable (FL) with the total score of that Variable, at a level of significance less than 0.01. Correlation coefficients are between 0.504 and 0.864, indicating the validity and consistency of the study tool.
The descriptive statistics of IS, shown in
Table 5, indicate that respondents generally reported a moderate-to-high level of sentiment toward the Egyptian stock market (overall mean = 3.40; 68%). Among its four dimensions, MO recorded the highest score (M = 3.66; 73.2%), reflecting a strong belief that the stock market will rise in the near future and that sustainability-conscious companies will outperform in the long run. EI followed (M = 3.42; 68.4%), with investors showing particular sensitivity to negative sustainability news and confidence in firms with strong sustainability performance. HB (M = 3.30; 66%) also played a role, as investors tended to feel more secure when others were buying the same stock and frequently sought advice from peers or forums, although blind imitation was less common. RA ranked lowest (M = 3.24; 64.8%), suggesting moderate risk tolerance; while investors expressed patience in holding stocks after price drops, they were less inclined toward speculative or highly volatile investments. Overall, these findings suggest that IS among the surveyed Egyptian investors appears to be shaped most strongly by optimism and emotional reactions to sustainability issues, while risk-taking remains more cautious and social influences provide reassurance rather than direct imitation.
The descriptive statistics of the dependent variable, TSR, shown in
Table 6 indicate an overall tendency toward agreement, with a mean score of 3.81 and relative importance of 76.2%
, reflecting a generally positive perception among respondents. The highest levels of agreement were associated with statements emphasizing standardization and assurance, particularly the preference for reports prepared according to recognized frameworks such as GRI or SASB (M = 4.62; 92.4%) and trust in reports verified by independent auditors or consultants (M = 4.56; 91.2%). Similarly, respondents strongly supported the importance of comparability across companies (M = 4.34; 86.8%) and highlighted that a lack of standardization reduces the usefulness of reports (M = 4.39; 87.8%). These results underscore that the majority of investors place a high value on formal assurance and adherence to international reporting standards when forming trust in sustainability disclosures.
In contrast, lower agreement was observed in items assessing the practical integration and perceived completeness of reports. For example, relatively fewer respondents agreed that companies present actual performance rather than selective outcomes (M = 3.13; 62.6%) or that sustainability reports are consistently used alongside financial statements in investment analysis (M = 3.10; 62%). The lowest-rated statement was related to disclosure of sustainability risks and their management (M = 3.08; 61.6%), suggesting that respondents remained cautious about the transparency and comprehensiveness of current reports.
The descriptive statistics of the moderating variable FL, shown in
Table 7, indicate that respondents generally reported a high level of financial knowledge and confidence, with an overall mean of 4.06 and relative importance of 81.2%, reflecting strong agreement across most items. The highest agreement was recorded for “I feel confident making independent investment decisions based on financial information” (M = 4.67; 93.4%) and “I understand how to read and interpret income statements and balance sheets” (M = 4.59; 91.8%), highlighting investors’ competence in core financial decision-making and accounting skills. Similarly, respondents showed solid familiarity with investment concepts (M = 4.29; 85.8%) and a good understanding of how macroeconomic conditions affect investment returns (M = 3.87; 77.4%). In contrast, the lowest-rated item was “I can interpret sustainability reports and identify sustainability information that is financially relevant” (M = 3.22; 64.4%), suggesting a relative weakness in integrating sustainability-related data into financial analysis. This finding reveals that while general FL appears strong among the surveyed respondents, specialized literacy in sustainability-linked financial interpretation is less developed.
In this study, t-tests and F-tests were used to assess the statistical significance and overall validity of the regression models. The t-test was applied to determine whether each independent variable had a significant effect on the dependent variable by testing whether the estimated regression coefficients were statistically different from zero. Meanwhile, the F-test was used to evaluate the overall significance and goodness-of-fit of each regression model, indicating whether the set of independent variables jointly explained a significant proportion of the variation in trust in sustainability reports. These tests ensured the robustness and reliability of the statistical findings and supported the acceptance or rejection of the proposed hypotheses.
Table 8 presents the results of a simple linear regression analysis testing the effect of IS on TSR. The findings show a strong and statistically significant positive relationship (r = 0.766,
p < 0.01). The regression model explains 58.6% of the variance in trust (R
2 = 0.586), which indicates that IS is a substantial predictor of how much confidence respondents placed in sustainability disclosures. The regression coefficient (β = 0.805, t = 21.490,
p < 0.01) confirms that higher levels of sentiment are associated with greater TSR. The F-test (F = 461.808,
p < 0.01) further demonstrates the overall robustness and statistical quality of the model.
Table 8.
Effect of the IS on TSR using simple Linear Regression.
Table 8.
Effect of the IS on TSR using simple Linear Regression.
| Independent Variables | β | t Test | F Test | r | R2 |
|---|
| Value | Sig. | Value | Sig. |
|---|
| constant | 0.734 | 5.079 | 0.01 ** | 461.808 | 0.01 ** | 0.766 | 58.6% |
| Investor Sentiment | 0.805 | 21.490 | 0.01 ** |
Hence, we accept the statistical hypothesis “IS has a significant positive effect on TSR.
The simple regressions confirmed that each dimension of IS—MO, RA, HB, and EI—has a significant positive effect on TSR (
Table 9,
Table 10,
Table 11 and
Table 12).
Table 9.
Effect of the MO on Trust in TSR using simple Linear.
Table 9.
Effect of the MO on Trust in TSR using simple Linear.
| Independent Variables | β | t Test | F Test | r | R2 |
|---|
| Value | Sig. | Value | Sig. |
|---|
| constant | 0.924 | 8.074 | 0.01 ** | 297.289 | 0.01 ** | 0.691 | 47.7% |
| Market Optimism | 0.718 | 17.242 | 0.01 ** |
Table 10.
Effect of the RA on TSR using simple Linear Regression.
Table 10.
Effect of the RA on TSR using simple Linear Regression.
| Independent Variables | β | t Test | F Test | r | R2 |
|---|
| Value | Sig. | Value | Sig. |
|---|
| constant | 1.290 | 5.505 | 0.01 ** | 109.698 | 0.01 ** | 0.502 | 25.2% |
| Risk Appetite | 0.495 | 10.474 | 0.01 ** |
Table 11.
Effect of the HB on TSR using simple Linear Regression.
Table 11.
Effect of the HB on TSR using simple Linear Regression.
| Independent Variables | β | t Test | F Test | r | R2 |
|---|
| Value | Sig. | Value | Sig. |
|---|
| constant | 1.617 | 11.030 | 0.01** | 229.696 | 0.01 ** | 0.643 | 41.3% |
| Herding behavior | 0.665 | 15.156 | 0.01** |
Table 12.
Effect of the EI on TSR using simple Linear Regression.
Table 12.
Effect of the EI on TSR using simple Linear Regression.
| Independent Variables | β | t Test | F Test | r | R2 |
|---|
| Value | Sig. | Value | Sig. |
|---|
| constant | 1.138 | 8.667 | 0.01 ** | 143.984 | 0.01 ** | 0.553 | 30.6% |
| Emotional Influence | 0.548 | 11.999 | 0.01 ** |
The multiple regression model (
Table 13) provides the most comprehensive test, showing that all four dimensions together explain 53.6% of the variance in trust (R
2 = 0.536,
p < 0.01). MO (β = 0.279), HB (β = 0.269), and EI (β = 0.270) emerged as the strongest predictors, while RA, though significant (β = 0.174), had a relatively smaller effect. These results support Hypotheses H1a–H1d and highlight that investors’ optimism, social validation, and emotional reactions to sustainability issues are more influential in shaping TSR than risk tolerance alone.
Table 14 presents the results of the hierarchical regression analysis examining the moderating role of FL in the relationship between IS and TSR. In Model 1, IS alone showed a strong and significant positive effect on trust (β = 0.805, r = 0.766, R
2 = 58.6%,
p < 0.01). Model 2 demonstrated that FL itself was a powerful predictor (β = 0.724, r = 0.869, R
2 = 75.4%,
p < 0.01). Crucially, Model 3, which introduced the interaction term (IS × FL), explained 78.2% of the variance in trust (R
2 = 0.782,
p < 0.01), significantly higher than either predictor alone. The interaction coefficient (β = 0.879, t = 34.195,
p < 0.01) confirms that FL strengthens the positive impact of IS on trust.
Hence, we accept the hypothesis “Financial literacy moderates the relationship between investor sentiment and trust in Sustainability reports, such that the relationship is stronger at higher levels of financial literacy”.
The robustness of the findings is further supported by the strong internal consistency and validity indicators obtained from the data. All constructions demonstrated Cronbach’s alpha values above the acceptable threshold of 0.70, and PCC confirmed significant internal consistency at the 0.01 level. In addition, the use of both simple and hierarchical regression analysis strengthens the statistical substantiation of the proposed relationships by demonstrating consistency across multiple analytical techniques.
In order to explore potential heterogeneity within the sample, additional attention was given to differences in responses based on levels of FL. When comparing respondents with higher levels of FL to those with lower levels, the strength of the relationship between IS and trust in sustainability reports was noticeably stronger among highly literate investors. This finding is consistent with the idea that investor competence plays a significant role in shaping the interpretation of sustainability disclosures. Although a full-stage cluster analysis, similar to the method applied by [
52] to identify regional heterogeneity, was not performed due to the individual-level nature of the data used in this study, the observed differences across FL levels provide initial evidence of heterogeneity in the IS–TSR relationship.
While the statistical results indicate strong and significant relationships between IS, FL, and TSR, these findings reflect general patterns observed within the studied sample of Egyptian investors and do not imply that all investors respond identically to sustainability disclosures.