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Measures include age distributions, elementary/secondary enrollment proportions, gender ratios, race/ethnicity breakdown, and multiple GPA indicators (UGPA, MGGPA, MUGPA) alongside GRE General and revised GRE components with reported means, standard deviations, and score ranges. Pearson correlations and multivariable regression models assess relationships among GPA, GRE subscores, and background variables, reporting coefficients, intercepts, model fit statistics (R², F), and interaction terms across GRE 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cohorts and variables are summarized in the tables?","Question",{"text":112,"@type":113},"The document summarizes four cohorts from 2010–2011 through 2013–2014 and reports demographics (e.g., gender, race/ethnicity, age) and academic performance measures such as UGPA/MGGPA/MUGPA.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How are GRE scores presented across different test versions?",{"text":117,"@type":113},"It reports GRE General test scale scores (including V/Q/A components) and revised GRE General test scores (with corresponding V/Q/A subscales), each with sample sizes, means, standard deviations, and score ranges.",{"name":119,"@type":110,"acceptedAnswer":120},"What is assessed using Pearson product-moment correlations?",{"text":121,"@type":113},"Pearson correlations quantify pairwise relationships among key variables, including GPA measures, GRE components, and demographic indicators, with significance markers shown in the correlation matrix.",{"name":123,"@type":110,"acceptedAnswer":124},"How do the regression models evaluate predictors of outcomes?",{"text":125,"@type":113},"The models estimate effects of UGPA, GRE subscores, gender, educational status (ELEM), age, and multiple interaction terms, reporting parameter estimates alongside R² and F statistics for each specification.","https://schema.org",{"og:url":83,"og:type":128,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":130,"canonical":83},"index,follow",{"doc_id":132,"site_id":62},179052,1788335231,{"code":4,"msg":5,"data":135},{"doc_id":132,"user_id":136,"nickname":92,"user_avatar":137,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":138,"file_id":139,"file_url":140,"file_type":141,"file_size":142,"view_count":34,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":143,"language":144,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":145,"faqs":146,"seo_title":147,"seo_description":67,"update_tm":133,"read_time":148,"preview_page_count":4},2336475104957,"https://ap-avatar.wpscdn.com/avatar/22000c4c6bd8a5076e1?x-image-process=image/resize,m_fixed,w_180,h_180&k=1787554080175789136","| Cohort 1\u003Cbr>(2010-2011) |  | Cohort 2\u003Cbr>(2011-2012) | Cohort 3\u003Cbr>(2012-2013) | Cohort 4\u003Cbr>(2013-2014) |\n| --- | --- | --- | --- | --- |\n| n 153 |  | 134 | 133 | 113 |\n| Elem/Sec (%) 42/58 |  | 43/57 | 38/62 | 44/56 |\n| F/M (%) 80/20 |  | 77/23 | 84/16 | 74/26 |\n| White/NW/U (%) 89/3/8 |  | 90/6/4 | 91/6/3 | 80/8/12 |\n| Mage 24.4\u003Cbr>(SD) (4.9) |  | 23.95 | 24.27 | 23.61 |\n|  |  | (4.23) | (4.99) | (3.99) |\n| Range 21-50 |  | 21-48 | 21-50 | 20-46 |\n| MGGPA | 3.81 | 3.80 | 3.81 | 3.85 |\n| (SD) (0.143) |  | (0.17) | (0.19) | (0.17) |\n| Range 3.26-4.0 |  | 3.23-4.0 | 3.26-4.0 | 3.3-4.0 |\n| MUGPA | 3.40 | 3.46 | 3.45 | 3.55 |\n| (SD) (0.32) |  | (0.32) | (0.30) | (0.27) |\n| Range 2.63-4.0\u003Cbr>GRE General Test scale scores (200-800) |  | 2.61-3.98 | 2.25-4.0 | 2.86-3.97 |\n| n 153 |  | 134 | 93 | 7 |\n| MGRE-V 442.61 |  | 447.24 | 468.49 | 510.00 |\n| (SD) (88.77) |  | (86.25) | (92.92) | (88.31) |\n| Range 280-720 |  | 240-720 | 310-760 | 370-620 |\n| MGRE-Q | 517.58 | 532.54 | 545.70 | 534.29 |\n| (SD) (110.52) |  | (120.70) | (116.17) | (143.28) |\n| Range 260-800 |  | 260-800 | 220-800 | 360-760 |\n| MGRE-A | 4.06 | 4.04 | 4.17 | 4.07 |\n| (SD) (0.69) |  | (0.62) | (0.64) | (0.35) |\n| Range 2.5-5.5 |  | 2.5-6.0 | 2.5-6.0 | 3.5-4.5 |\n| GRE General Revised Test scale scores (130-170) |  |  |  |  |\n| n |  |  | 40 | 106 |\n| MGREr-V |  |  | 149.23 | 150.28 |\n| (SD) |  |  | (6.5) | (6.03) |\n| Range |  |  | 138-163 | 137-169 |\n| MGREr-Q |  |  | 145.05 | 148.25 |\n| (SD) |  |  | (6.08) | (6.41) |\n| Range |  |  | 133-163 | 137-165 |\n| MGREr-A |  |  | 3.94 | 3.92 |\n| (SD) |  |  | (0.67) | (0.57) |\n| Range |  |  | 2.5-6.0 | 2.5-5.5 |\n\n\n| Table 2. Pearson Product–Moment Correlations Using Pairwise Deletion. |  |  |  |  |  |  |  |  |  |  |  |\n| --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- |\n| Variable | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 |\n| 1. GGPAn = 533\u003Cbr>2. UGPAn = 533\u003Cbr>3. GRE-V n = 387\u003Cbr>4. GRE-Q n = 387\u003Cbr>5. GRE-An = 385\u003Cbr>6. GREr-V n = 146\u003Cbr>7. GREr-Q n = 146\u003Cbr>8. GREr-An = 146\u003Cbr>9. ELEMn = 533\u003Cbr>10. AGEn = 533\u003Cbr>11. WHITEn = 497\u003Cbr>12.FEMALE n = 533 | .38**\u003Cbr>.12*\u003Cbr>.13*\u003Cbr>.16**–.01\u003Cbr>–.01\u003Cbr>.18*\u003Cbr>.16**\u003Cbr>.03\u003Cbr>–.01\u003Cbr>.26** | .26**\u003Cbr>.22**\u003Cbr>.23**\u003Cbr>.21*\u003Cbr>.34**\u003Cbr>.27**\u003Cbr>.02\u003Cbr>–.09*\u003Cbr>.05\u003Cbr>.20** | .39**\u003Cbr>.34**\u003Cbr>–.22**\u003Cbr>.25**\u003Cbr>–.01\u003Cbr>–. 14** | .29**\u003Cbr>–. 16**–.03\u003Cbr>.01\u003Cbr>–. 11* | –.24**–.04\u003Cbr>.03\u003Cbr>–.01 | .56**\u003Cbr>.35**\u003Cbr>–.24**\u003Cbr>.15\u003Cbr>–.05\u003Cbr>–. 19* | .28**\u003Cbr>–.29**\u003Cbr>.03\u003Cbr>–.02 –. 31** | –.10\u003Cbr>.03\u003Cbr>–.01\u003Cbr>–.12 | –.05\u003Cbr>.04\u003Cbr>.30** | –. 18**\u003Cbr>–. 15** | .08 |\n\n\n| Model | GRE General Test\u003Cbr>(n = 385) |  | GRE Revised General Test\u003Cbr>(n = 146) |  | Combined GRE versions\u003Cbr>(n = 531) |  |\n| --- | --- | --- | --- | --- | --- | --- |\n|  | I | II | III | IV | V | VI |\n| Intercept | 3.73** | 3.75** | 3.77** | 3.74** | 3.74** | 3.74** |\n|  | (.02) | (.02) | (.03) | (.03) | (.03) | (.03) |\n| UGPA | 0.14** | 0.17** | 0.30** | 0.19** | 0.19** | 0.20** |\n|  | (.03) | (.03) | (.05) | (.07) | (.02) | (.02) |\n| GRE-A | 0.03*\u003Cbr>(.01) | 0.02\u003Cbr>(.01) | 0.04\u003Cbr>(.02) | 0.07\u003Cbr>(.03) |  |  |\n| FEMALE | 0.08** | 0.07** | 0.05 | 0.08* | 0.07** | 0.07** |\n|  | (.02) | (.02) | (.04) | (.04) | (.02) | (.02) |\n| ELEM | 0.05**\u003Cbr>(.02) | 0.04*\u003Cbr>(.02) | 0.04\u003Cbr>(.03) | 0.04\u003Cbr>(.03) | 0.04**\u003Cbr>(.01) | 0.03*\u003Cbr>(.01) |\n| AGE | 0.003 | –0.01* | 0.01* | –0.01 | 0.003* | 0.002 |\n|  | (.002) | (.003) | (.004) | (.01) | (.001) | (.005) |\n| AGE × UGPA |  | –0.02**\u003Cbr>(.01) |  | –0.08*\u003Cbr>(.03) |  | –0.02**\u003Cbr>(.004) |\n| AGE × GRE-A |  | –0.004\u003Cbr>(.002) |  | 0.02\u003Cbr>(.02) |  |  |\n| AGE × GEND |  | 0.01** |  | 0.03 |  | 0.01** |\n|  |  | (.003) |  | (.02) |  | (.003) |\n| OLD |  |  |  |  | –0.06\u003Cbr>(.04) | –0.04\u003Cbr>(.04) |\n| R2 | 19.9 | 25.1 | 28.8 | 32.7 | 19.4 | 24.5 |\n| F | 13.34** | 12.50** | 7.98** | 6.55** | 25.27** | 18.80** |\n| df | 7,377 | 10,374 | 7,138 | 10,135 | 5,525 | 9,521 |\n| ΔR2 |  | .05 |  | .04 |  | .05 |\n| F |  | 8.66** |  | 2.57 |  | 8.83** |\n| df |  | 3, 37","cbCaitUWAYYzZmH0","https://ap.wps.com/l/cbCaitUWAYYzZmH0","pdf",236054,14,"English","# Cohort Summary\n## Demographic breakdown and academic metrics\n# GRE Score Distributions\n## General and revised GRE components\n# Correlation Analysis\n## Pearson product-moment correlations\n# Regression Modeling\n## Coefficients, interactions, and model fit","[{\"question\":\"What cohorts and variables are summarized in the tables?\",\"answer\":\"The document summarizes four cohorts from 2010–2011 through 2013–2014 and reports demographics (e.g., gender, race/ethnicity, age) and academic performance measures such as UGPA/MGGPA/MUGPA.\"},{\"question\":\"How are GRE scores presented across different test versions?\",\"answer\":\"It reports GRE General test scale scores (including V/Q/A components) and revised GRE General test scores (with corresponding V/Q/A subscales), each with sample sizes, means, standard deviations, and score ranges.\"},{\"question\":\"What is assessed using Pearson product-moment correlations?\",\"answer\":\"Pearson correlations quantify pairwise relationships among key variables, including GPA measures, GRE components, and demographic indicators, with significance markers shown in the correlation matrix.\"},{\"question\":\"How do the regression models evaluate predictors of outcomes?\",\"answer\":\"The models estimate effects of UGPA, GRE subscores, gender, educational status (ELEM), age, and multiple interaction terms, reporting parameter estimates alongside R² and F statistics for each specification.\"}]","Evans-2017 - academic cohort and GRE analysis report | PDF",35]