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1{2 "key": "vevea1995general",3 "retrieved": "2026-10-20",4 "via": "doi",5 "message": {6  "indexed": {7   "date-parts": [8    [9     2026,10     10,11     2012    ]13   ],14   "date-time": "2026-10-20T17:21:16Z",15   "timestamp": 1792516876188,16   "version": "4.5.0"17  },18  "reference-count": 29,19  "publisher": "Cambridge University Press (CUP)",20  "issue": "3",21  "license": [22   {23    "start": {24     "date-parts": [25      [26       2025,27       1,28       129      ]30     ],31     "date-time": "2025-01-01T00:00:00Z",32     "timestamp": 173568960000033    },34    "content-version": "unspecified",35    "delay-in-days": 10715,36    "URL": "https://www.cambridge.org/core/terms"37   }38  ],39  "content-domain": {40   "domain": [],41   "crossmark-restriction": false42  },43  "short-container-title": [44   "Psychometrika"45  ],46  "published-print": {47   "date-parts": [48    [49     1995,50     951    ]52   ]53  },54  "abstract": "<jats:p>When the process of publication favors studies with small <jats:italic>p</jats:italic>-values, and hence large effect estimates, combined estimates from many studies may be biased. This paper describes a model for estimation of effect size when there is selection based on one-tailed <jats:italic>p</jats:italic>-values. The model employs the method of maximum likelihood in the context of a mixed (fixed and random) effects general linear model for effect sizes. It offers a test for the presence of publication bias, and corrected estimates of the parameters of the linear model for effect magnitude. The model is illustrated using a well-known data set on the benefits of psychotherapy.</jats:p>",55  "DOI": "10.1007/bf02294384",56  "type": "journal-article",57  "created": {58   "date-parts": [59    [60     2006,61     1,62     2563    ]64   ],65   "date-time": "2006-01-25T15:34:18Z",66   "timestamp": 113820325800067  },68  "page": "419-435",69  "source": "Crossref",70  "is-referenced-by-count": 323,71  "title": [72   "A General Linear Model for Estimating Effect Size in the Presence of Publication Bias"73  ],74  "prefix": "10.1017",75  "volume": "60",76  "author": [77   {78    "given": "Jack L.",79    "family": "Vevea",80    "sequence": "first",81    "affiliation": [],82    "role": [83     {84      "vocabulary": "crossref",85      "role": "author"86     }87    ]88   },89   {90    "given": "Larry V.",91    "family": "Hedges",92    "sequence": "additional",93    "affiliation": [],94    "role": [95     {96      "vocabulary": "crossref",97      "role": "author"98     }99    ]100   }101  ],102  "member": "56",103  "published-online": {104   "date-parts": [105    [106     2025,107     1,108     1109    ]110   ]111  },112  "reference": [113   {114    "key": "S0033312300027691_CR6",115    "first-page": "75",116    "article-title": "Discussion on meta-analysis and selective publication bias",117    "volume": "39",118    "author": "Dawes",119    "year": "1984",120    "journal-title": "American Psychologist"121   },122   {123    "key": "S0033312300027691_CR21",124    "volume-title": "Combining information: Statistical issues and research opportunities",125    "year": "1992"126   },127   {128    "key": "S0033312300027691_CR18",129    "doi-asserted-by": "publisher",130    "DOI": "10.1111/j.2044-8317.1978.tb00578.x"131   },132   {133    "key": "S0033312300027691_CR12",134    "doi-asserted-by": "publisher",135    "DOI": "10.3102/10769986009001061"136   },137   {138    "key": "S0033312300027691_CR24",139    "doi-asserted-by": "publisher",140    "DOI": "10.2466/pr0.1964.15.2.570"141   },142   {143    "key": "S0033312300027691_CR15",144    "unstructured": "Hedges, L. V. , & Vevea, J. L. (1993). Estimating effect size under publication bias: Small sample properties and robustness of a selection model. Manuscript submitted for publication."145   },146   {147    "key": "S0033312300027691_CR19",148    "doi-asserted-by": "publisher",149    "DOI": "10.4159/9780674040243"150   },151   {152    "key": "S0033312300027691_CR23",153    "doi-asserted-by": "publisher",154    "DOI": "10.1080/00223980.1963.9916596"155   },156   {157    "key": "S0033312300027691_CR27",158    "first-page": "30",159    "article-title": "Publication decisions and their possible effects on inferences drawn from tests of significance or vice versa",160    "volume": "54",161    "author": "Sterling",162    "year": "1959",163    "journal-title": "Journal of the American Statistical Association"164   },165   {166    "key": "S0033312300027691_CR11",167    "doi-asserted-by": "publisher",168    "DOI": "10.1037/h0076157"169   },170   {171    "key": "S0033312300027691_CR25",172    "doi-asserted-by": "publisher",173    "DOI": "10.1016/0191-765X(80)90004-X"174   },175   {176    "key": "S0033312300027691_CR7",177    "doi-asserted-by": "publisher",178    "DOI": "10.1214/ss/1177011363"179   },180   {181    "key": "S0033312300027691_CR14",182    "volume-title": "Statistical methods for meta-analysis",183    "author": "Hedges",184    "year": "1985"185   },186   {187    "key": "S0033312300027691_CR5",188    "doi-asserted-by": "publisher",189    "DOI": "10.1037/0735-7028.17.2.136"190   },191   {192    "key": "S0033312300027691_CR28",193    "doi-asserted-by": "publisher",194    "DOI": "10.1037/0021-9010.78.6.981"195   },196   {197    "key": "S0033312300027691_CR13",198    "doi-asserted-by": "publisher",199    "DOI": "10.1214/ss/1177011364"200   },201   {202    "key": "S0033312300027691_CR8",203    "doi-asserted-by": "publisher",204    "DOI": "10.1016/0197-2456(91)90115-3"205   },206   {207    "key": "S0033312300027691_CR16",208    "first-page": "109",209    "article-title": "Selection models and the file drawer problem",210    "volume": "3",211    "author": "Iyengar",212    "year": "1988",213    "journal-title": "Statistical Science"214   },215   {216    "key": "S0033312300027691_CR1",217    "first-page": "399",218    "volume-title": "The handbook of research synthesis",219    "author": "Begg",220    "year": "1994"221   },222   {223    "key": "S0033312300027691_CR2",224    "doi-asserted-by": "publisher",225    "DOI": "10.2307/2982993"226   },227   {228    "key": "S0033312300027691_CR22",229    "doi-asserted-by": "publisher",230    "DOI": "10.1037/0003-066X.41.11.1299"231   },232   {233    "key": "S0033312300027691_CR29",234    "doi-asserted-by": "publisher",235    "DOI": "10.1037/0033-2909.91.3.461"236   },237   {238    "key": "S0033312300027691_CR10",239    "doi-asserted-by": "publisher",240    "DOI": "10.1016/0140-6736(91)90201-Y"241   },242   {243    "key": "S0033312300027691_CR26",244    "volume-title": "The benefits of psychotherapy",245    "author": "Smith",246    "year": "1980"247   },248   {249    "key": "S0033312300027691_CR9",250    "doi-asserted-by": "publisher",251    "DOI": "10.1001/jama.1992.03480030052036"252   },253   {254    "key": "S0033312300027691_CR20",255    "doi-asserted-by": "publisher",256    "DOI": "10.1037/h0045549"257   },258   {259    "key": "S0033312300027691_CR4",260    "volume-title": "The handbook of research synthesis",261    "author": "Cooper",262    "year": "1994"263   },264   {265    "key": "S0033312300027691_CR3",266    "doi-asserted-by": "publisher",267    "DOI": "10.1037/h0038034"268   },269   {270    "key": "S0033312300027691_CR17",271    "volume-title": "The advanced theory of statistics. 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