Redo Table 4 & 7

**Instructions for Redoing Table 4 and Table 7** Please redo **Table 4** and **Table 7** from the actual dataset in **jamovi** and provide screenshots of the work. ## General requirements 1. Use **jamovi only** for this order. 2. Use the **actual dataset**, not hand-entered values. 3. Send screenshots of: * the dataset in jamovi with variable names visible * the analysis setup screen * the output/results screen 4. Send the final tables in **APA format**. 5. Send a brief interpretation of each table. 6. Please confirm the **reference group** used in Table 7. 7. Do not guess values or recreate the tables manually without software output. --- ## Table 4 — Descriptive Statistics by Firm Type ### Goal Redo Table 4 using descriptive statistics by **firm_type**. ### Variables to include * `log_scope1_emissions` * `log_scope2_emissions` * `revenue_cagr_5yr` * `roa` * `governance_transparency_score` * `stakeholder_integration_index` * `firm_size_log_assets` * `public_status` ### Grouping variable * `firm_type` ### What Table 4 should show For each firm type group and total sample, show: * **Mean (M)** * **Standard Deviation (SD)** * **N** ### jamovi steps 1. Open the dataset in jamovi. 2. Go to **Analyses**. 3. Select **Exploration**. 4. Select **Descriptives**. 5. Move the variables listed above into the **Variables** box. 6. Move `firm_type` into **Split by**. 7. Under statistics, select: * N * Mean * Standard deviation * Minimum * Maximum 8. For `public_status`, if needed, also run a frequency or descriptive check so the percentage public in each group can be reported correctly. ### Screenshots needed for Table 4 * dataset with variable names visible * Descriptives setup screen * output screen with the results visible ### Final deliverables for Table 4 * APA-formatted Table 4 * screenshots * brief interpretation --- ## Table 7 — Linear Mixed Model Results for Main Effects ### Goal Redo Table 7 using a **linear mixed model** in jamovi. ### Dependent variables Run **three separate models**: * **Model 1:** `log_scope1_emissions` * **Model 2:** `roa` * **Model 3:** `stakeholder_integration_index` ### Predictors / controls Use: * `firm_type` * `firm_size_log_assets` * `public_status` * `year` ### Random effect / repeated unit Use: * `firm_id` as the firm-level clustering / random intercept variable ### jamovi setup If needed, install the mixed model module in jamovi first. Then: 1. Open the dataset in jamovi. 2. Go to **Analyses**. 3. Open the **Mixed Models / Linear Mixed Model** option. 4. For each model, set: * Dependent variable = one of the three outcomes above * Factors = `firm_type`, `public_status` * Covariates = `firm_size_log_assets`, `year` * Cluster / random effect / subject = `firm_id` 5. Include a **random intercept** for firm. 6. Include **year fixed effects** if the model setup allows that directly through the year variable. 7. Clearly confirm which **reference group** is used for `firm_type`. ### What Table 7 should report For each model, provide: * **unstandardized coefficients (B)** * **standard errors (SE)** * significance markers if available * model fit values if available * N ### Screenshots needed for Table 7 * dataset with the model variables visible * model setup screen * output/results screen * if there are multiple output pages, send the main coefficient table and the model information page ### Final deliverables for Table 7 * APA-formatted Table 7 * screenshots * brief interpretation * note confirming the reference group used for `firm_type` --- ## Important consistency rules Please use these exact labels consistently: * **B Corp-Certified** * **Sustainable Non-Certified** * **Conventional** Please do not finalize the dissertation wording from these tables until the table output is confirmed and matches the final reference group and model setup. ## Final package to send back Please send: 1. Table 4 in APA format 2. Table 7 in APA format 3. all required jamovi screenshots 4. brief interpretation for each table 5. confirmation that the tables were produced from the actual dataset in jamovi

Project ID: 40347997