{"id":676,"date":"2026-01-05T13:48:53","date_gmt":"2026-01-05T04:48:53","guid":{"rendered":"http:\/\/waurimal.kr\/?p=676"},"modified":"2026-01-05T13:48:55","modified_gmt":"2026-01-05T04:48:55","slug":"chap-36-%ea%b5%ac%ec%a1%b0%eb%b0%a9%ec%a0%95%ec%8b%9d-%eb%aa%a8%ed%98%95sem%ec%9d%84-%ed%99%9c%ec%9a%a9%ed%95%9c-%eb%a9%94%ed%83%80%eb%b6%84%ec%84%9dmeta-analysis","status":"publish","type":"post","link":"http:\/\/waurimal.kr\/?p=676","title":{"rendered":"Chap 36. \uad6c\uc870\ubc29\uc815\uc2dd \ubaa8\ud615(SEM)\uc744 \ud65c\uc6a9\ud55c \uba54\ud0c0\ubd84\uc11d(Meta-Analysis)"},"content":{"rendered":"\n<p>\uc548\ub155\ud558\uc138\uc694? \uc774\ubc88\uc5d0 \ud568\uaed8 \ub2e4\ub8f0 \uc8fc\uc81c\ub294 <strong>&#8220;\uad6c\uc870\ubc29\uc815\uc2dd \ubaa8\ud615(SEM)\uc744 \ud65c\uc6a9\ud55c \uba54\ud0c0\ubd84\uc11d(Meta-Analysis)&#8221;<\/strong>\uc785\ub2c8\ub2e4. <\/p>\n\n\n\n<p>\ubcf4\ud1b5 \uba54\ud0c0\ubd84\uc11d\uc774\ub77c\uace0 \ud558\uba74 <code>jamovi<\/code>\uc758 MAJOR \ubaa8\ub4c8\uc774\ub098 <code>R<\/code>\uc758 <code>metafor<\/code> \ud328\ud0a4\uc9c0\ub97c \ub5a0\uc62c\ub9ac\uc2e4 \uac81\ub2c8\ub2e4. \ud558\uc9c0\ub9cc \uc624\ub298\uc740 \uc870\uae08 \ub354 \uace0\uae09\uc2a4\ub7fd\uace0 \uc720\uc5f0\ud55c \uc811\uadfc\ubc95\uc778 <strong>SEM \ud504\ub808\uc784\uc6cc\ud06c<\/strong> \uc548\uc5d0\uc11c \uba54\ud0c0\ubd84\uc11d\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \ubc30\uc6b8 \uac83\uc785\ub2c8\ub2e4. \uc774 \ubc29\ubc95\uc740 \ubcf5\uc7a1\ud55c \ub370\uc774\ud130 \uad6c\uc870(\ub2e4\ubcc0\ub7c9, \ub2e4\uc218\uc900 \ub4f1)\ub97c \ub2e4\ub8f0 \ub54c \ub9e4\uc6b0 \uac15\ub825\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<p><strong>jamovi<\/strong>\ub97c \uae30\ubcf8\uc73c\ub85c \ud558\ub418, SEM \uae30\ubc18 \uba54\ud0c0\ubd84\uc11d\uc758 \ud575\uc2ec \uae30\ub2a5\uc744 \uad6c\ud604\ud558\uae30 \uc704\ud574 jamovi \ub0b4\uc758 <strong>Rj Editor<\/strong> (\ud639\uc740 R)\uc5d0\uc11c \uad6c\ub3d9\ub418\ub294 <code>metaSEM<\/code> \ud328\ud0a4\uc9c0 \ucf54\ub4dc\ub97c \uc911\uc2ec\uc73c\ub85c \uc9c4\ud589\ud558\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">1. SEM\uacfc \uba54\ud0c0\ubd84\uc11d\uc758 \ub9cc\ub0a8: \uac1c\ub150\uc801 \uc9c0\ub3c4<\/h1>\n\n\n\n<p>\uba3c\uc800, \uc774 \ub450 \uac00\uc9c0\uac00 \uc5b4\ub5bb\uac8c \uc5f0\uacb0\ub418\ub294\uc9c0 \uc774\ud574\ud574\uc57c \ud569\ub2c8\ub2e4. \ub9ce\uc740 \uc5f0\uad6c\uc790\uac00 \uc774 \ub458\uc744 \ubcc4\uac1c\uc758 \uc601\uc5ed\uc73c\ub85c \uc0dd\uac01\ud558\uc9c0\ub9cc, \uc0ac\uc2e4 \uba54\ud0c0\ubd84\uc11d\uc740 SEM\uc758 \ud2b9\uc218\ud55c \ud615\ud0dc\uc785\ub2c8\ub2e4.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\ud575\uc2ec \uc544\uc774\ub514\uc5b4: \uc5f0\uad6c(Study)\ub97c \ud53c\ud5d8\uc790(Subject)\ub85c \ubcf4\ub77c!<\/h3>\n\n\n\n<p>SEM \uae30\ubc18 \uba54\ud0c0\ubd84\uc11d\uc758 \uac00\uc7a5 \uc911\uc694\ud55c \ud1b5\ucc30\uc740 <strong>\uac1c\ubcc4 \uc5f0\uad6c \ud558\ub098\ud558\ub098\ub97c \uad6c\uc870\ubc29\uc815\uc2dd \ubaa8\ud615\uc5d0\uc11c\uc758 \ud55c \uba85\uc758 \ud53c\ud5d8\uc790(Subject)\ub85c \ucde8\uae09<\/strong>\ud55c\ub2e4\ub294 \uc810\uc785\ub2c8\ub2e4.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><td><strong>SEM \uac1c\ub150<\/strong><\/td><td><strong>\uba54\ud0c0\ubd84\uc11d \uac1c\ub150<\/strong><\/td><\/tr><\/thead><tbody><tr><td><strong>\ud53c\ud5d8\uc790 (Subject)<\/strong><\/td><td><strong>\uac1c\ubcc4 \uc5f0\uad6c (Study)<\/strong><\/td><\/tr><tr><td><strong>\uad00\uce21 \ubcc0\uc218 (Observed Variable)<\/strong><\/td><td><strong>\uad00\uce21\ub41c \ud6a8\uacfc\ud06c\uae30 (Observed Effect Size, <\/strong><math data-latex=\"y_i\"><semantics><msub><mi>y<\/mi><mi>i<\/mi><\/msub><annotation encoding=\"application\/x-tex\">y_i<\/annotation><\/semantics><\/math><strong>)<\/strong><\/td><\/tr><tr><td><strong>\uc7a0\uc7ac \ubcc0\uc218 (Latent Variable)<\/strong><\/td><td><strong>\ucc38 \ud6a8\uacfc\ud06c\uae30 (True Effect Size, <\/strong><math data-latex=\"f_i\"><semantics><msub><mi>f<\/mi><mi>i<\/mi><\/msub><annotation encoding=\"application\/x-tex\">f_i<\/annotation><\/semantics><\/math><strong>)<\/strong><\/td><\/tr><tr><td><strong>\uce21\uc815 \uc624\ucc28 \ubd84\uc0b0 (Error Variance)<\/strong><\/td><td><strong>\ud45c\uc9d1 \ubd84\uc0b0 (Sampling Variance, <\/strong><math data-latex=\"v_i\"><semantics><msub><mi>v<\/mi><mi>i<\/mi><\/msub><annotation encoding=\"application\/x-tex\">v_i<\/annotation><\/semantics><\/math><strong>) &#8211; <em>\uc774\ubbf8 \uc54c\uace0 \uc788\ub294 \uac12!<\/em><\/strong><\/td><\/tr><tr><td><strong>\uc7a0\uc7ac \ubcc0\uc218 \ud3c9\uade0 (Mean)<\/strong><\/td><td><strong>\ud3c9\uade0 \ud6a8\uacfc\ud06c\uae30 (Average Effect)<\/strong><\/td><\/tr><tr><td><strong>\uc7a0\uc7ac \ubcc0\uc218 \ubd84\uc0b0 (Variance)<\/strong><\/td><td><strong>\uc774\uc9c8\uc131 \ubd84\uc0b0 (Heterogeneity Variance, <\/strong><math data-latex=\"\\tau^2\"><semantics><msup><mi>\u03c4<\/mi><mn>2<\/mn><\/msup><annotation encoding=\"application\/x-tex\">\\tau^2<\/annotation><\/semantics><\/math><strong>)<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h1 class=\"wp-block-heading\">2. \uc2e4\uc2b5 \uc2dc\ub098\ub9ac\uc624: &#8220;AI \uae30\ubc18 \uc791\ubb38 \ud53c\ub4dc\ubc31\uc758 \ud6a8\uacfc&#8221;<\/h1>\n\n\n\n<p>\uc774\ud574\ub97c \ub3d5\uae30 \uc704\ud574 \uac00\uc0c1\uc758 \uad50\uc721\ud559 \ub370\uc774\ud130\ub97c \uc0dd\uc131\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><strong>\uc5f0\uad6c \ubc30\uacbd:<\/strong> \ucd5c\uadfc \uad50\uc721 \ud604\uc7a5\uc5d0\uc11c ChatGPT\uc640 \uac19\uc740 AI\ub97c \ud65c\uc6a9\ud55c \uc791\ubb38 \ud53c\ub4dc\ubc31\uc774 \ud559\uc0dd\ub4e4\uc758 \uae00\uc4f0\uae30 \ub2a5\ub825\uc5d0 \ubbf8\uce58\ub294 \uc601\ud5a5\uc5d0 \ub300\ud55c \uc5f0\uad6c\uac00 \uc3df\uc544\uc9c0\uace0 \uc788\uc2b5\ub2c8\ub2e4. \uc6b0\ub9ac\ub294 \uc9c0\ub09c 5\ub144 \ub3d9\uc548 \ubc1c\ud45c\ub41c 20\ud3b8\uc758 \uad00\ub828 \uc5f0\uad6c\ub97c \uc218\uc9d1\ud588\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<p><strong>\ub370\uc774\ud130 \ubcc0\uc218:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><code>Study<\/code>: \uc5f0\uad6c ID<\/li>\n\n\n\n<li><code>yi<\/code>: \ud6a8\uacfc\ud06c\uae30 (Hedges&#8217; g, \uc791\ubb38 \uc810\uc218 \ucc28\uc774)<\/li>\n\n\n\n<li><code>vi<\/code>: \ud6a8\uacfc\ud06c\uae30\uc758 \ud45c\uc9d1 \ubd84\uc0b0 (Sampling Variance)<\/li>\n\n\n\n<li><code>Year<\/code>: \ucd9c\ud310 \uc5f0\ub3c4 (\uacf5\ubcc0\ub7c9)<\/li>\n\n\n\n<li><code>SchoolLevel<\/code>: \ud559\uad50\uae09 (\ucd08\ub4f1=0, \uc911\ub4f1=1)<\/li>\n<\/ul>\n<\/blockquote>\n\n\n\n<h3 class=\"wp-block-heading\">[\uc2e4\uc2b5] \ub370\uc774\ud130 \uc0dd\uc131 (R \ucf54\ub4dc)<\/h3>\n\n\n\n<p>jamovi\uc758 <strong>Rj Editor<\/strong>\ub97c \uc5f4\uace0 \uc544\ub798 \ucf54\ub4dc\ub97c \uc2e4\ud589\ud558\uac70\ub098, RStudio\ub97c \uc0ac\uc6a9\ud558\uc138\uc694. \uc774 \ucf54\ub4dc\ub294 \ucca8\ubd80 \ud30c\uc77c\uc758 \ub9e5\ub77d\uc5d0 \ub9de\ucdb0 \uc2dc\ubbac\ub808\uc774\uc158 \ub370\uc774\ud130\ub97c \uc0dd\uc131\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<p>R<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>set.seed(20260105)\nk &lt;- 20 # \uc5f0\uad6c \uc218\n# \ucc38 \ud6a8\uacfc\ud06c\uae30 (\ud3c9\uade0 0.5, \uc774\uc9c8\uc131 \ubd84\uc0b0 0.05)\ntrue_effect &lt;- rnorm(k, mean = 0.5, sd = sqrt(0.05)) \n# \uc0d8\ud50c \uc0ac\uc774\uc988\uc5d0 \ub530\ub978 \ud45c\uc9d1 \ubd84\uc0b0 (vi) \uc0dd\uc131\nn &lt;- sample(30:200, k, replace = TRUE)\nvi &lt;- 4\/n # \uadfc\uc0ac\uc801\uc778 \ubd84\uc0b0\n# \uad00\uce21\ub41c \ud6a8\uacfc\ud06c\uae30 (yi) = \ucc38\uac12 + \uc624\ucc28\nyi &lt;- rnorm(k, mean = true_effect, sd = sqrt(vi))\n# \uacf5\ubcc0\ub7c9 \uc0dd\uc131\nYear &lt;- round(runif(k, 2018, 2024))\nSchoolLevel &lt;- sample(c(0, 1), k, replace = TRUE) # 0:Elementary, 1:Secondary\n\nmy_data &lt;- data.frame(Study=1:k, yi=yi, vi=vi, Year=Year, SchoolLevel=SchoolLevel)\nhead(my_data)\n<\/code><\/pre>\n\n\n\n<div class=\"wp-block-file\"><a id=\"wp-block-file--media-c910ddad-331d-40bc-9622-be4bc86647ca\" href=\"http:\/\/waurimal.kr\/wp-content\/uploads\/2026\/01\/chap36-1.csv\">chap36-1<\/a><a href=\"http:\/\/waurimal.kr\/wp-content\/uploads\/2026\/01\/chap36-1.csv\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-c910ddad-331d-40bc-9622-be4bc86647ca\">\ub2e4\uc6b4\ub85c\ub4dc<\/a><\/div>\n\n\n\n<h1 class=\"wp-block-heading\">3. \ub2e8\ubcc0\ub7c9 \uba54\ud0c0\ubd84\uc11d (Univariate Meta-Analysis)<\/h1>\n\n\n\n<h2 class=\"wp-block-heading\">3.1 \uace0\uc815\ud6a8\uacfc \ubaa8\ud615 (Fixed-Effect Model)<\/h2>\n\n\n\n<p>\uace0\uc815\ud6a8\uacfc \ubaa8\ud615\uc740 \ubaa8\ub4e0 \uc5f0\uad6c\uac00 \ub3d9\uc77c\ud55c \ucc38 \ud6a8\uacfc\ud06c\uae30(<math data-latex=\"\\beta_F\"><semantics><msub><mi>\u03b2<\/mi><mi>F<\/mi><\/msub><annotation encoding=\"application\/x-tex\">\\beta_F<\/annotation><\/semantics><\/math>)\ub97c \uacf5\uc720\ud55c\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4. \uc989, \uc5f0\uad6c \uac04\uc758 \ucc28\uc774\ub294 \uc624\uc9c1 \ud45c\uc9d1 \uc624\ucc28(sampling error) \ub54c\ubb38\uc774\ub77c\uace0 \ubd05\ub2c8\ub2e4.<\/p>\n\n\n\n<p>SEM\uc73c\ub85c \uc774\ub97c \ud45c\ud604\ud558\uba74 \ub2e4\uc74c\uacfc \uac19\uc2b5\ub2c8\ub2e4:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\ubaa8\ud615: <math data-latex=\"y_i = \\beta_F + e_i\"><semantics><mrow><msub><mi>y<\/mi><mi>i<\/mi><\/msub><mo>=<\/mo><msub><mi>\u03b2<\/mi><mi>F<\/mi><\/msub><mo>+<\/mo><msub><mi>e<\/mi><mi>i<\/mi><\/msub><\/mrow><annotation encoding=\"application\/x-tex\">y_i = \\beta_F + e_i<\/annotation><\/semantics><\/math><\/li>\n\n\n\n<li>\uc5ec\uae30\uc11c <math data-latex=\"Var(e_i) = v_i\"><semantics><mrow><mi>V<\/mi><mi>a<\/mi><mi>r<\/mi><mo form=\"prefix\" stretchy=\"false\">(<\/mo><msub><mi>e<\/mi><mi>i<\/mi><\/msub><mo form=\"postfix\" stretchy=\"false\">)<\/mo><mo>=<\/mo><msub><mi>v<\/mi><mi>i<\/mi><\/msub><\/mrow><annotation encoding=\"application\/x-tex\">Var(e_i) = v_i<\/annotation><\/semantics><\/math> (\uac01 \uc5f0\uad6c\uc758 <math data-latex=\"v_i\"><semantics><msub><mi>v<\/mi><mi>i<\/mi><\/msub><annotation encoding=\"application\/x-tex\">v_i<\/annotation><\/semantics><\/math>\ub294 \uc774\ubbf8 \uc54c\uace0 \uc788\ub294 \uac12\uc73c\ub85c \uace0\uc815)<\/li>\n<\/ul>\n\n\n\n<p>[SEM \ub3c4\uc2dd\ud654]<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"537\" height=\"213\" src=\"http:\/\/waurimal.kr\/wp-content\/uploads\/2026\/01\/fig36-1.png\" alt=\"\" class=\"wp-image-678\" srcset=\"http:\/\/waurimal.kr\/wp-content\/uploads\/2026\/01\/fig36-1.png 537w, http:\/\/waurimal.kr\/wp-content\/uploads\/2026\/01\/fig36-1-300x119.png 300w\" sizes=\"auto, (max-width: 537px) 100vw, 537px\" \/><\/figure>\n\n\n\n<p>\uc0bc\uac01\ud615(\uc0c1\uc218 1)\uc5d0\uc11c \ub124\ubaa8(<math data-latex=\"y_i\"><semantics><msub><mi>y<\/mi><mi>i<\/mi><\/msub><annotation encoding=\"application\/x-tex\">y_i<\/annotation><\/semantics><\/math>)\ub85c \uac00\ub294 \ud654\uc0b4\ud45c\uac00 \ud3c9\uade0 \ud6a8\uacfc(<math data-latex=\"\\beta_F\"><semantics><msub><mi>\u03b2<\/mi><mi>F<\/mi><\/msub><annotation encoding=\"application\/x-tex\">\\beta_F<\/annotation><\/semantics><\/math>)\uc785\ub2c8\ub2e4. \uc774\ub54c <math data-latex=\"y_i\"><semantics><msub><mi>y<\/mi><mi>i<\/mi><\/msub><annotation encoding=\"application\/x-tex\">y_i<\/annotation><\/semantics><\/math>\uc758 \uc624\ucc28 \ubd84\uc0b0\uc740 <math data-latex=\"v_i\"><semantics><msub><mi>v<\/mi><mi>i<\/mi><\/msub><annotation encoding=\"application\/x-tex\">v_i<\/annotation><\/semantics><\/math>\ub85c \uace0\uc815\ub429\ub2c8\ub2e4.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">3.2 \ubb34\uc120\ud6a8\uacfc \ubaa8\ud615 (Random-Effects Model)<\/h2>\n\n\n\n<p>\ud604\uc2e4\uc801\uc73c\ub85c \ubaa8\ub4e0 \uc5f0\uad6c\uc758 \ud6a8\uacfc\uac00 \uac19\uc744 \uc218\ub294 \uc5c6\uc2b5\ub2c8\ub2e4. \uc5f0\uad6c \ub300\uc0c1, \ub3c4\uad6c, \ud658\uacbd\uc774 \ub2e4\ub974\ub2c8\uae4c\uc694. \ubb34\uc120\ud6a8\uacfc \ubaa8\ud615\uc740 \ucc38 \ud6a8\uacfc\ud06c\uae30 \uc790\uccb4\uac00 \ubd84\ud3ec(<math data-latex=\"N(\\beta_R, \\tau^2)\"><semantics><mrow><mi>N<\/mi><mo form=\"prefix\" stretchy=\"false\">(<\/mo><msub><mi>\u03b2<\/mi><mi>R<\/mi><\/msub><mo separator=\"true\">,<\/mo><msup><mi>\u03c4<\/mi><mn>2<\/mn><\/msup><mo form=\"postfix\" stretchy=\"false\">)<\/mo><\/mrow><annotation encoding=\"application\/x-tex\">N(\\beta_R, \\tau^2)<\/annotation><\/semantics><\/math>)\ub97c \uac00\uc9c4\ub2e4\uace0 \uac00\uc815\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>\ubaa8\ud615: <math data-latex=\"y_i = \\beta_R + u_i + e_i\"><semantics><mrow><msub><mi>y<\/mi><mi>i<\/mi><\/msub><mo>=<\/mo><msub><mi>\u03b2<\/mi><mi>R<\/mi><\/msub><mo>+<\/mo><msub><mi>u<\/mi><mi>i<\/mi><\/msub><mo>+<\/mo><msub><mi>e<\/mi><mi>i<\/mi><\/msub><\/mrow><annotation encoding=\"application\/x-tex\">y_i = \\beta_R + u_i + e_i<\/annotation><\/semantics><\/math><\/li>\n\n\n\n<li>\uc5ec\uae30\uc11c <math data-latex=\"Var(u_i) = \\tau^2\"><semantics><mrow><mi>V<\/mi><mi>a<\/mi><mi>r<\/mi><mo form=\"prefix\" stretchy=\"false\">(<\/mo><msub><mi>u<\/mi><mi>i<\/mi><\/msub><mo form=\"postfix\" stretchy=\"false\">)<\/mo><mo>=<\/mo><msup><mi>\u03c4<\/mi><mn>2<\/mn><\/msup><\/mrow><annotation encoding=\"application\/x-tex\">Var(u_i) = \\tau^2<\/annotation><\/semantics><\/math> (\uc774\uc9c8\uc131 \ubd84\uc0b0, \ucd94\uc815\ud574\uc57c \ud560 \uac12)<\/li>\n<\/ul>\n\n\n\n<p>[\ubd84\uc11d \ub3c4\uad6c: R metaSEM \ud328\ud0a4\uc9c0]<\/p>\n\n\n\n<p>metaSEM \ud328\ud0a4\uc9c0\ub294 OpenMx\ub97c \uae30\ubc18\uc73c\ub85c \ud558\uc5ec \uc774\ub7ec\ud55c \ubaa8\ub378\ub9c1\uc744 \uc544\uc8fc \uc27d\uac8c \ud574\uc90d\ub2c8\ub2e4.<\/p>\n\n\n\n<p>R<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code># install.packages(\"metaSEM\") # \ucd5c\ucd08 1\ud68c \uc124\uce58 \ud544\uc694\nlibrary(metaSEM)\n\n# \ubb34\uc120\ud6a8\uacfc \ubaa8\ud615 \uc2e4\ud589\nrandom_model &lt;- meta(y = yi, v = vi, data = my_data, model.name = \"Random Effects Model\")\nsummary(random_model)\n<\/code><\/pre>\n\n\n\n<p><strong>[\ud574\uc11d]<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Intercept1:<\/strong> \ucd94\uc815\ub41c \ud3c9\uade0 \ud6a8\uacfc\ud06c\uae30(<math data-latex=\"\\beta_R\"><semantics><msub><mi>\u03b2<\/mi><mi>R<\/mi><\/msub><annotation encoding=\"application\/x-tex\">\\beta_R<\/annotation><\/semantics><\/math>)\uc785\ub2c8\ub2e4.<\/li>\n\n\n\n<li><strong>Tau2(1,1):<\/strong> \uc5f0\uad6c \uac04 \uc774\uc9c8\uc131 \ubd84\uc0b0(<math data-latex=\"\\tau^2\"><semantics><msup><mi>\u03c4<\/mi><mn>2<\/mn><\/msup><annotation encoding=\"application\/x-tex\">\\tau^2<\/annotation><\/semantics><\/math>)\uc785\ub2c8\ub2e4. \uc774 \uac12\uc774 0\ubcf4\ub2e4 \ud06c\ub2e4\uba74 \uc5f0\uad6c\ub4e4\uc758 \uacb0\uacfc\uac00 \uc11c\ub85c \ub2e4\ub974\ub2e4\ub294 \uac83\uc744 \uc758\ubbf8\ud569\ub2c8\ub2e4.<\/li>\n\n\n\n<li><math data-latex=\"I^2\"><semantics><msup><mi>I<\/mi><mn>2<\/mn><\/msup><annotation encoding=\"application\/x-tex\">I^2<\/annotation><\/semantics><\/math><strong>:<\/strong> \ucd1d \ubd84\uc0b0 \uc911 \uc5f0\uad6c \uac04 \uc774\uc9c8\uc131\uc774 \ucc28\uc9c0\ud558\ub294 \ube44\uc728\uc785\ub2c8\ub2e4. (25%=\ub0ae\uc74c, 50%=\uc911\uac04, 75%=\ub192\uc74c).<\/li>\n<\/ul>\n\n\n\n<h1 class=\"wp-block-heading\">4. \ud63c\ud569\ud6a8\uacfc \ubaa8\ud615 (Mixed-Effects Model): \uba54\ud0c0 \ud68c\uadc0<\/h1>\n\n\n\n<p>\ub2e8\uc21c\ud788 &#8220;\ud6a8\uacfc\uac00 \ub2e4\ub974\ub2e4(\uc774\uc9c8\uc131\uc774 \uc788\ub2e4)&#8221;\uc5d0\uc11c \uba48\ucd94\uba74 \uc548 \ub429\ub2c8\ub2e4. <strong>&#8220;\uc65c \ub2e4\ub978\uac00?&#8221;<\/strong>\ub97c \uc124\uba85\ud574\uc57c \ud569\ub2c8\ub2e4. \uc774\ub97c \uc704\ud574 \uacf5\ubcc0\ub7c9(Covariate)\uc744 \ub3c4\uc785\ud558\ub294 \uac83\uc744 \ud63c\ud569\ud6a8\uacfc \ubaa8\ud615 \ub610\ub294 \uba54\ud0c0 \ud68c\uadc0(Meta-regression)\ub77c\uace0 \ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<p>\uc6b0\ub9ac\uc758 \uc2dc\ub098\ub9ac\uc624\uc5d0\uc11c\ub294 <strong>&#8220;\ud559\uad50\uae09(\ucd08\ub4f1 vs \uc911\ub4f1)&#8221;<\/strong>\uc774 AI \ud53c\ub4dc\ubc31 \ud6a8\uacfc\ub97c \uc870\uc808\ud558\ub294\uc9c0 \uc54c\uc544\ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">SEM \ubaa8\ub378\ub9c1 \ubc29\uc2dd<\/h3>\n\n\n\n<p>SEM\uc5d0\uc11c\ub294 \uacf5\ubcc0\ub7c9\uc744 \ucc98\ub9ac\ud558\ub294 \ub450 \uac00\uc9c0 \ubc29\uc2dd\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>\uacf5\ubcc0\ub7c9\uc744 \ubcc0\uc218(Variable)\ub85c \ucde8\uae09:<\/strong> \uacf5\ubcc0\ub7c9\uc758 \ud3c9\uade0\uacfc \ubd84\uc0b0\ub3c4 \ubaa8\ub378 \ub0b4\uc5d0\uc11c \ucd94\uc815 (\uacb0\uce21\uce58 \ucc98\ub9ac\uc5d0 \uc720\ub9ac).<\/li>\n\n\n\n<li><strong>\uacf5\ubcc0\ub7c9\uc744 \uc124\uacc4 \ud589\ub82c(Design Matrix)\ub85c \ucde8\uae09:<\/strong> \uc804\ud1b5\uc801\uc778 \ud68c\uadc0\ubd84\uc11d \ubc29\uc2dd. \uacf5\ubcc0\ub7c9 \uac12\uc740 \uace0\uc815\ub41c \uac83\uc73c\ub85c \uac04\uc8fc.<\/li>\n<\/ol>\n\n\n\n<p>\uc6b0\ub9ac\ub294 <code>metaSEM<\/code>\uc744 \uc0ac\uc6a9\ud558\uc5ec \uac04\ub2e8\ud558\uac8c \ubd84\uc11d\ud574 \ubcf4\uaca0\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<p>R<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code># \ud559\uad50\uae09(SchoolLevel)\uc744 \uacf5\ubcc0\ub7c9\uc73c\ub85c \ud22c\uc785\nmixed_model &lt;- meta(y = yi, v = vi, x = SchoolLevel, data = my_data, \n                    model.name = \"Mixed Effects Model\")\nsummary(mixed_model)\n<\/code><\/pre>\n\n\n\n<p><strong>[\uacb0\uacfc \ud574\uc11d]<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Slope1 (Coeff):<\/strong> \ud559\uad50\uae09\uc774 1\ub2e8\uc704 \uc99d\uac00\ud560 \ub54c(\ucd08\ub4f1 <math data-latex=\"\\rightarrow\"><semantics><mo stretchy=\"false\" lspace=\"0em\" rspace=\"0em\">\u2192<\/mo><annotation encoding=\"application\/x-tex\">\\rightarrow<\/annotation><\/semantics><\/math> \uc911\ub4f1), \ud6a8\uacfc\ud06c\uae30\uc758 \ubcc0\ud654\ub7c9\uc785\ub2c8\ub2e4.\n<ul class=\"wp-block-list\">\n<li>\ub9cc\uc57d \uc774 \uac12\uc774 \uc74c\uc218(-)\uc774\uace0 \uc720\uc758\ud558\ub2e4\uba74, &#8220;AI \ud53c\ub4dc\ubc31\uc740 \uc911\ub4f1\ubcf4\ub2e4 \ucd08\ub4f1\uc5d0\uc11c \ub354 \ud6a8\uacfc\uc801\uc774\ub2e4&#8221;\ub77c\uace0 \ud574\uc11d\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/li>\n<\/ul>\n<\/li>\n\n\n\n<li><math data-latex=\"R^2\"><semantics><msup><mi>R<\/mi><mn>2<\/mn><\/msup><annotation encoding=\"application\/x-tex\">R^2<\/annotation><\/semantics><\/math><strong>:<\/strong> \uacf5\ubcc0\ub7c9\uc774 \uc124\uba85\ud558\ub294 \uc774\uc9c8\uc131 \ubd84\uc0b0\uc758 \ube44\uc728\uc785\ub2c8\ub2e4. \uc124\uba85\ub825 \uc9c0\uc218\ub77c\uace0 \ubcf4\uc2dc\uba74 \ub429\ub2c8\ub2e4.<\/li>\n<\/ul>\n\n\n\n<h1 class=\"wp-block-heading\">5. \ub2e4\ubcc0\ub7c9 \uba54\ud0c0\ubd84\uc11d (Multivariate Meta-Analysis)<\/h1>\n\n\n\n<p>\uc2e4\uc81c \uad50\uc721 \uc5f0\uad6c\uc5d0\uc11c\ub294 \ud55c \uc5f0\uad6c\uc5d0\uc11c \uc5ec\ub7ec \uac1c\uc758 \uacb0\uacfc \ubcc0\uc218\ub97c \ub3d9\uc2dc\uc5d0 \ubcf4\uace0\ud558\ub294 \uacbd\uc6b0\uac00 \ub9ce\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<p>\uc608\ub97c \ub4e4\uc5b4, <strong>&#8220;\uc791\ubb38 \uc810\uc218(Writing Score)&#8221;<\/strong>\uc640 <strong>&#8220;\uc791\ubb38 \ud765\ubbf8(Writing Interest)&#8221;<\/strong>\ub97c \ub3d9\uc2dc\uc5d0 \uce21\uc815\ud588\ub2e4\uace0 \ud569\uc2dc\ub2e4.<\/p>\n\n\n\n<p>\uc774 \ub450 \ubcc0\uc218\ub294 \uc11c\ub85c \uc0c1\uad00\uc774 \uc788\uc744 \ud150\ub370, \uc774\ub97c \ubb34\uc2dc\ud558\uace0 \uac01\uac01 \ubcc4\ub3c4\ub85c \uba54\ud0c0\ubd84\uc11d\uc744 \ud558\uba74 \uc624\ub958\uac00 \ubc1c\uc0dd\ud569\ub2c8\ub2e4. SEM \uae30\ubc18 \uba54\ud0c0\ubd84\uc11d\uc740 \uc774 <strong>\uc0c1\uad00\uad00\uacc4(Dependence)<\/strong>\ub97c \ubaa8\ub378\uc5d0 \uc9c1\uc811 \ud3ec\ud568\ud560 \uc218 \uc788\ub2e4\ub294 \uac15\ub825\ud55c \uc7a5\uc810\uc774 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\uc2dc\ub098\ub9ac\uc624 \ud655\uc7a5<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><math data-latex=\"y_1\"><semantics><msub><mi>y<\/mi><mn>1<\/mn><\/msub><annotation encoding=\"application\/x-tex\">y_1<\/annotation><\/semantics><\/math>: \uc791\ubb38 \uc810\uc218 \ud6a8\uacfc\ud06c\uae30<\/li>\n\n\n\n<li><math data-latex=\"y_2\"><semantics><msub><mi>y<\/mi><mn>2<\/mn><\/msub><annotation encoding=\"application\/x-tex\">y_2<\/annotation><\/semantics><\/math>: \uc791\ubb38 \ud765\ubbf8 \ud6a8\uacfc\ud06c\uae30<\/li>\n\n\n\n<li>\ub450 \ud6a8\uacfc\ud06c\uae30 \uac04\uc758 \uc0c1\uad00\uad00\uacc4\uac00 \uc874\uc7ac\ud568.<\/li>\n<\/ul>\n\n\n\n<p>[SEM \ub3c4\uc2dd\ud654]<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"992\" height=\"594\" src=\"http:\/\/waurimal.kr\/wp-content\/uploads\/2026\/01\/fig36-2.png\" alt=\"\" class=\"wp-image-679\" srcset=\"http:\/\/waurimal.kr\/wp-content\/uploads\/2026\/01\/fig36-2.png 992w, http:\/\/waurimal.kr\/wp-content\/uploads\/2026\/01\/fig36-2-300x180.png 300w, http:\/\/waurimal.kr\/wp-content\/uploads\/2026\/01\/fig36-2-768x460.png 768w, http:\/\/waurimal.kr\/wp-content\/uploads\/2026\/01\/fig36-2-624x374.png 624w\" sizes=\"auto, (max-width: 992px) 100vw, 992px\" \/><\/figure>\n\n\n\n<p>\ub450 \uac1c\uc758 \uc7a0\uc7ac \ubcc0\uc218(<math data-latex=\"f_1, f_2\"><semantics><mrow><msub><mi>f<\/mi><mn>1<\/mn><\/msub><mo separator=\"true\">,<\/mo><msub><mi>f<\/mi><mn>2<\/mn><\/msub><\/mrow><annotation encoding=\"application\/x-tex\">f_1, f_2<\/annotation><\/semantics><\/math>)\uac00 \uc788\uace0, \uc774 \ub458 \uc0ac\uc774\uc5d0 \uacf5\ubd84\uc0b0(\ud654\uc0b4\ud45c \uc5f0\uacb0)\uc774 \uc124\uc815\ub429\ub2c8\ub2e4. \uad00\uce21 \ubcc0\uc218\uc758 \uc624\ucc28\ub4e4\ub3c4 \uc11c\ub85c \uc0c1\uad00\ub420 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<p>R<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code>library(metaSEM)\n\nset.seed(20260105)\nk &lt;- 20 # \uc5f0\uad6c \uc218\n\n# 1. \uc0d8\ud50c \uc0ac\uc774\uc988\uc640 \ubd84\uc0b0 \uc0dd\uc131\nn &lt;- sample(50:200, k, replace = TRUE)\nv1 &lt;- 4\/n # \uc791\ubb38 \uc810\uc218\uc758 \ubd84\uc0b0\nv2 &lt;- 4\/n # \uc791\ubb38 \ud765\ubbf8\uc758 \ubd84\uc0b0\n\n# 2. \uacf5\ubd84\uc0b0(Covariance) \uc0dd\uc131\n# \ubcf4\ud1b5 \uc5f0\uad6c \ub0b4 \ub450 \ubcc0\uc218 \uac04\uc758 \uc0c1\uad00(r)\uc744 \uac00\uc815\ud558\uc5ec \uacc4\uc0b0\ud569\ub2c8\ub2e4 (\uc608: r = 0.5)\nr_within &lt;- 0.5 \ncov12 &lt;- r_within * sqrt(v1) * sqrt(v2)\n\n# 3. \ucc38 \ud6a8\uacfc\ud06c\uae30(Latent True Effects) \uc0dd\uc131 (\ub450 \ubcc0\uc218 \uac04 \uc0c1\uad00 r = 0.6 \uac00\uc815)\n# MASS \ud328\ud0a4\uc9c0\ub97c \uc774\uc6a9\ud574 \uc0c1\uad00\ub41c \ucc38\uac12\uc744 \ub9cc\ub4ed\ub2c8\ub2e4.\nlibrary(MASS)\ntrue_means &lt;- c(0.5, 0.3) # y1=0.5, y2=0.3\ntrue_sigma &lt;- matrix(c(0.05, 0.03, 0.03, 0.05), 2, 2) # \uc774\uc9c8\uc131 \uacf5\ubd84\uc0b0 \ud589\ub82c\ntrue_effects &lt;- mvrnorm(k, true_means, true_sigma)\n\n# 4. \uad00\uce21\ub41c \ud6a8\uacfc\ud06c\uae30(Observed Effects) \uc0dd\uc131\ny1 &lt;- rnorm(k, true_effects&#91;,1], sqrt(v1))\ny2 &lt;- rnorm(k, true_effects&#91;,2], sqrt(v2))\n\n# 5. \ub370\uc774\ud130 \ud504\ub808\uc784 \ub9cc\ub4e4\uae30 (multivariate_data)\nmultivariate_data &lt;- data.frame(Study = 1:k, \n                                y1 = y1, \n                                y2 = y2, \n                                v1 = v1, \n                                cov12 = cov12, \n                                v2 = v2)\n\n# \ub370\uc774\ud130 \ud655\uc778\nhead(multivariate_data)\nwrite.csv(multivariate_data,\"chap36-2.csv\",row.names = F)\n\n# \ub2e4\ubcc0\ub7c9 \ubb34\uc120\ud6a8\uacfc \ubaa8\ud615 \uc2e4\ud589\nmulti_model &lt;- meta(y = cbind(y1, y2), \n                    v = cbind(v1, cov12, v2), \n                    data = multivariate_data,\n                    model.name = \"Multivariate_Meta\") \n\nsummary(multi_model)\n<\/code><\/pre>\n\n\n\n<div class=\"wp-block-file\"><a id=\"wp-block-file--media-b06f1d05-53ce-40bb-abb0-ec3e99687a44\" href=\"http:\/\/waurimal.kr\/wp-content\/uploads\/2026\/01\/chap36-2.csv\">chap36-2<\/a><a href=\"http:\/\/waurimal.kr\/wp-content\/uploads\/2026\/01\/chap36-2.csv\" class=\"wp-block-file__button wp-element-button\" download aria-describedby=\"wp-block-file--media-b06f1d05-53ce-40bb-abb0-ec3e99687a44\">\ub2e4\uc6b4\ub85c\ub4dc<\/a><\/div>\n\n\n\n<p>\uc774 \ubd84\uc11d\uc744 \ud1b5\ud574 \uc6b0\ub9ac\ub294 &#8220;\uc791\ubb38 \uc2e4\ub825\uc774 \ub298\uba74 \ud765\ubbf8\ub3c4 \uac19\uc774 \ub290\ub294\uac00?&#8221;\uc5d0 \ub300\ud55c \uc885\ud569\uc801\uc778 \ub2f5\uc744 \uc5bb\uc744 \uc218 \uc788\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">6. 3\uc218\uc900 \uba54\ud0c0\ubd84\uc11d (Three-Level Meta-Analysis)<\/h1>\n\n\n\n<p>\uad50\uc721 \uc5f0\uad6c\uc5d0\uc11c\ub294 <strong>&#8220;\ud55c \ub17c\ubb38\uc5d0\uc11c \uc5ec\ub7ec \uac1c\uc758 \ud6a8\uacfc\ud06c\uae30\ub97c \ubcf4\uace0&#8221;<\/strong>\ud558\uac70\ub098, <strong>&#8220;\uac19\uc740 \uc5f0\uad6c\uc790\uac00 \uc5ec\ub7ec \ub17c\ubb38\uc744 \uc4f0\ub294&#8221;<\/strong> \uacbd\uc6b0\uac00 \ub9ce\uc2b5\ub2c8\ub2e4. \uc989, \ub370\uc774\ud130\uac00 \ub0b4\uc7ac\ub41c(Nested) \uad6c\uc870\ub97c \uac00\uc9d1\ub2c8\ub2e4.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Level 1:<\/strong> \uac1c\ubcc4 \ud6a8\uacfc\ud06c\uae30\uc758 \ud45c\uc9d1 \uc624\ucc28 (Sampling Variance)<\/li>\n\n\n\n<li><strong>Level 2:<\/strong> \ud55c \uc5f0\uad6c \ub0b4\uc758 \ubcc0\ub3d9 (Within-study Variance)<\/li>\n\n\n\n<li><strong>Level 3:<\/strong> \uc5f0\uad6c \uac04\uc758 \ubcc0\ub3d9 (Between-study Variance)<\/li>\n<\/ul>\n\n\n\n<p>\uc774 \uad6c\uc870\ub97c \ubb34\uc2dc\ud558\uba74 \ud45c\uc900\uc624\ucc28(Standard Error)\uac00 \uacfc\uc18c \ucd94\uc815\ub418\uc5b4, \uc2e4\uc81c\ub85c\ub294 \ud6a8\uacfc\uac00 \uc5c6\ub294\ub370 \uc788\ub2e4\uace0 \uc798\ubabb \uacb0\ub860 \ub0b4\ub9b4 \uc218 \uc788\uc2b5\ub2c8\ub2e4. SEM\uc740 \uc774\ub97c <strong>\ub2e4\uce35 \ubaa8\ud615(Multilevel Model)<\/strong>\uc73c\ub85c \uc544\uc8fc \uae54\ub054\ud558\uac8c \ucc98\ub9ac\ud569\ub2c8\ub2e4.<\/p>\n\n\n\n<p>[SEM \ub3c4\uc2dd\ud654]<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"846\" height=\"814\" src=\"http:\/\/waurimal.kr\/wp-content\/uploads\/2026\/01\/fig36-3.png\" alt=\"\" class=\"wp-image-681\" srcset=\"http:\/\/waurimal.kr\/wp-content\/uploads\/2026\/01\/fig36-3.png 846w, http:\/\/waurimal.kr\/wp-content\/uploads\/2026\/01\/fig36-3-300x289.png 300w, http:\/\/waurimal.kr\/wp-content\/uploads\/2026\/01\/fig36-3-768x739.png 768w, http:\/\/waurimal.kr\/wp-content\/uploads\/2026\/01\/fig36-3-624x600.png 624w\" sizes=\"auto, (max-width: 846px) 100vw, 846px\" \/><\/figure>\n\n\n\n<p>\uc7a0\uc7ac \ubcc0\uc218\ub97c \uce35\uc704\ubcc4\ub85c \uc124\uc815\ud558\uc5ec, \uc5f0\uad6c \uc218\uc900\uc758 \ubd84\uc0b0(<math data-latex=\"\\tau^2_{(3)}\"><semantics><msubsup><mi>\u03c4<\/mi><mrow><mo form=\"prefix\" stretchy=\"false\" lspace=\"0em\" rspace=\"0em\">(<\/mo><mn>3<\/mn><mo form=\"postfix\" stretchy=\"false\" lspace=\"0em\" rspace=\"0em\">)<\/mo><\/mrow><mn>2<\/mn><\/msubsup><annotation encoding=\"application\/x-tex\">\\tau^2_{(3)}<\/annotation><\/semantics><\/math>)\uacfc \uc5f0\uad6c \ub0b4 \ud6a8\uacfc\ud06c\uae30 \uc218\uc900\uc758 \ubd84\uc0b0(<math data-latex=\"\\tau^2_{(2)}\"><semantics><msubsup><mi>\u03c4<\/mi><mrow><mo form=\"prefix\" stretchy=\"false\" lspace=\"0em\" rspace=\"0em\">(<\/mo><mn>2<\/mn><mo form=\"postfix\" stretchy=\"false\" lspace=\"0em\" rspace=\"0em\">)<\/mo><\/mrow><mn>2<\/mn><\/msubsup><annotation encoding=\"application\/x-tex\">\\tau^2_{(2)}<\/annotation><\/semantics><\/math>)\uc744 \ubd84\ub9ac\ud574 \ub0c5\ub2c8\ub2e420.<\/p>\n\n\n\n<p>R<\/p>\n\n\n\n<pre class=\"wp-block-code\"><code># 3\uc218\uc900 \uba54\ud0c0\ubd84\uc11d \uc2e4\ud589 (meta3L \ud568\uc218 \uc0ac\uc6a9)\n# cluster \ubcc0\uc218\ub294 '\uc5f0\uad6c ID'\uac00 \ub429\ub2c8\ub2e4.\nthree_level_model &lt;- meta3L(y = yi, v = vi, cluster = Study, data = my_data)\nsummary(three_level_model)\n<\/code><\/pre>\n\n\n\n<p><strong>[\ud574\uc11d\uc758 \ud575\uc2ec]<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>I2_2 vs I2_3:<\/strong> \uc804\uccb4 \ubcc0\ub3d9 \uc911 &#8220;\uc5f0\uad6c \ub0b4 \ucc28\uc774&#8221;(<math data-latex=\"I^2_{(2)}\"><semantics><msubsup><mi>I<\/mi><mrow><mo form=\"prefix\" stretchy=\"false\" lspace=\"0em\" rspace=\"0em\">(<\/mo><mn>2<\/mn><mo form=\"postfix\" stretchy=\"false\" lspace=\"0em\" rspace=\"0em\">)<\/mo><\/mrow><mn>2<\/mn><\/msubsup><annotation encoding=\"application\/x-tex\">I^2_{(2)}<\/annotation><\/semantics><\/math>)\uc640 &#8220;\uc5f0\uad6c \uac04 \ucc28\uc774&#8221;(<math data-latex=\"I^2_{(3)}\"><semantics><msubsup><mi>I<\/mi><mrow><mo form=\"prefix\" stretchy=\"false\" lspace=\"0em\" rspace=\"0em\">(<\/mo><mn>3<\/mn><mo form=\"postfix\" stretchy=\"false\" lspace=\"0em\" rspace=\"0em\">)<\/mo><\/mrow><mn>2<\/mn><\/msubsup><annotation encoding=\"application\/x-tex\">I^2_{(3)}<\/annotation><\/semantics><\/math>)\uac00 \uac01\uac01 \uc5bc\ub9c8\ub098 \uc124\uba85\ud558\ub294\uc9c0 \ubcf4\uc5ec\uc90d\ub2c8\ub2e4.<\/li>\n\n\n\n<li>\ub9cc\uc57d <math data-latex=\"I^2_{(3)}\"><semantics><msubsup><mi>I<\/mi><mrow><mo form=\"prefix\" stretchy=\"false\" lspace=\"0em\" rspace=\"0em\">(<\/mo><mn>3<\/mn><mo form=\"postfix\" stretchy=\"false\" lspace=\"0em\" rspace=\"0em\">)<\/mo><\/mrow><mn>2<\/mn><\/msubsup><annotation encoding=\"application\/x-tex\">I^2_{(3)}<\/annotation><\/semantics><\/math>\uac00 \ub9e4\uc6b0 \ud06c\ub2e4\uba74, \uc5b4\ub5a4 \uc5f0\uad6c(\uc800\uc790)\uac00 \uc218\ud589\ud588\ub290\ub0d0\uc5d0 \ub530\ub77c \uacb0\uacfc\uac00 \ud06c\uac8c \ub2ec\ub77c\uc9c4\ub2e4\ub294 \ub73b\uc774\ubbc0\ub85c \uc5f0\uad6c\uc790\uc758 \ud2b9\uc131\uc744 \ud0d0\uc0c9\ud574\ubd10\uc57c \ud569\ub2c8\ub2e4.<\/li>\n<\/ul>\n\n\n\n<h1 class=\"wp-block-heading\">7. \uc694\uc57d \ubc0f \uc81c\uc5b8<\/h1>\n\n\n\n<p>\uc624\ub298 \uc6b0\ub9ac\ub294 \ucca8\ubd80\ub41c \ubb38\ud5cc\uc744 \ubc14\ud0d5\uc73c\ub85c <strong>SEM \uae30\ubc18 \uba54\ud0c0\ubd84\uc11d<\/strong>\uc744 \uc0b4\ud3b4\ubcf4\uc558\uc2b5\ub2c8\ub2e4.<\/p>\n\n\n\n<ol start=\"1\" class=\"wp-block-list\">\n<li><strong>\uc720\uc5f0\uc131:<\/strong> SEM \ud504\ub808\uc784\uc6cc\ud06c\ub97c \uc0ac\uc6a9\ud558\uba74 \uacb0\uce21\uce58 \ucc98\ub9ac(FIML), \ubcf5\uc7a1\ud55c \uc81c\uc57d \uc870\uac74 \uc124\uc815, \ub2e4\ubcc0\ub7c9 \ubc0f \ub2e4\uc218\uc900 \ubd84\uc11d\uc774 \ud6e8\uc52c \uc790\uc720\ub86d\uc2b5\ub2c8\ub2e4.<\/li>\n\n\n\n<li><strong>\ud655\uc7a5\uc131:<\/strong> \ub2e8\uc21c\ud788 \ud3c9\uade0 \ud6a8\uacfc\ub97c \uad6c\ud558\ub294 \uac83\uc744 \ub118\uc5b4, \ud6a8\uacfc\ud06c\uae30\ub4e4 \uac04\uc758 \uad6c\uc870\uc801 \uad00\uacc4(\uc608: \ub9e4\uac1c\ud6a8\uacfc \uba54\ud0c0\ubd84\uc11d)\ub97c \uac80\uc99d\ud558\ub294 MASEM(Meta-Analytic SEM)\uc73c\ub85c \ub098\uc544\uac08 \uc218 \uc788\ub294 \ubc1c\ud310\uc774 \ub429\ub2c8\ub2e4.<\/li>\n<\/ol>\n\n\n\n<p>WaurimaL\uc758 \uc81c\uc5b8:<\/p>\n\n\n\n<p>\uc5ec\ub7ec\ubd84, \uc774\uc81c \ub2e8\uc21c\ud55c \ud3c9\uade0 \uacc4\uc0b0\uc744 \ub118\uc5b4 \ub370\uc774\ud130\uc758 \uad6c\uc870\ub97c \ud30c\uc545\ud558\uc2ed\uc2dc\uc624. jamovi\uc640 R\uc758 metaSEM \ud328\ud0a4\uc9c0\ub294 \uc5ec\ub7ec\ubd84\uc758 \uc5f0\uad6c\ub97c \ud55c \ub2e8\uacc4 \ub354 \ub192\uc740 \uc218\uc900(Top-tier Journal)\uc73c\ub85c \ub04c\uc5b4\uc62c\ub824 \uc904 \uac15\ub825\ud55c \ubb34\uae30\uc785\ub2c8\ub2e4.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\ucc38\uace0\ubb38\ud5cc<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Borenstein, M., Hedges, L. V., Higgins, J. P. T., &amp; Rothstein, H. R. (2009). <em>Introduction to meta-analysis<\/em>. Wiley.<\/li>\n\n\n\n<li>Cheung, M. W.-L. (2008). A model for integrating fixed-, random-, and mixed-effects meta-analyses into structural equation modeling. <em>Psychological Methods, 13<\/em>(3), 182\u2013202.<\/li>\n\n\n\n<li>Cheung, M. W.-L. (2013). Multivariate meta-analysis as structural equation models. <em>Structural Equation Modeling: A Multidisciplinary Journal, 20<\/em>(3), 429\u2013454.<\/li>\n\n\n\n<li>Cheung, M. W.-L. (2014). Modeling dependent effect sizes with three-level meta-analyses: A structural equation modeling approach. <em>Psychological Methods, 19<\/em>(2), 211\u2013229.<\/li>\n\n\n\n<li>Cheung, M. W.-L. (2015). <em>Meta-analysis: A structural equation modeling approach<\/em>. Wiley.<\/li>\n\n\n\n<li>Cheung, M. W.-L. (2015). metaSEM: An R package for meta-analysis using structural equation modeling. <em>Frontiers in Psychology, 5<\/em>, 1521.<\/li>\n\n\n\n<li>Cheung, M. W.-L. (2026). Structural Equation Modeling-Based Meta-Analysis. In <em>Handbook of Structural Equation Modeling<\/em> (Chapter 36).<\/li>\n<\/ul>\n\n\n\n<p><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\uc548\ub155\ud558\uc138\uc694? \uc774\ubc88\uc5d0 \ud568\uaed8 \ub2e4\ub8f0 \uc8fc\uc81c\ub294 &#8220;\uad6c\uc870\ubc29\uc815\uc2dd \ubaa8\ud615(SEM)\uc744 \ud65c\uc6a9\ud55c \uba54\ud0c0\ubd84\uc11d(Meta-Analysis)&#8221;\uc785\ub2c8\ub2e4. \ubcf4\ud1b5 \uba54\ud0c0\ubd84\uc11d\uc774\ub77c\uace0 \ud558\uba74 jamovi\uc758 MAJOR \ubaa8\ub4c8\uc774\ub098 R\uc758 metafor \ud328\ud0a4\uc9c0\ub97c \ub5a0\uc62c\ub9ac\uc2e4 \uac81\ub2c8\ub2e4. \ud558\uc9c0\ub9cc \uc624\ub298\uc740 \uc870\uae08 \ub354 \uace0\uae09\uc2a4\ub7fd\uace0 \uc720\uc5f0\ud55c \uc811\uadfc\ubc95\uc778 SEM \ud504\ub808\uc784\uc6cc\ud06c \uc548\uc5d0\uc11c \uba54\ud0c0\ubd84\uc11d\uc744 \uc218\ud589\ud558\ub294 \ubc29\ubc95\uc744 \ubc30\uc6b8 \uac83\uc785\ub2c8\ub2e4. \uc774 \ubc29\ubc95\uc740 \ubcf5\uc7a1\ud55c \ub370\uc774\ud130 \uad6c\uc870(\ub2e4\ubcc0\ub7c9, \ub2e4\uc218\uc900 \ub4f1)\ub97c \ub2e4\ub8f0 \ub54c \ub9e4\uc6b0 \uac15\ub825\ud569\ub2c8\ub2e4. jamovi\ub97c \uae30\ubcf8\uc73c\ub85c \ud558\ub418, SEM \uae30\ubc18 \uba54\ud0c0\ubd84\uc11d\uc758 \ud575\uc2ec \uae30\ub2a5\uc744 \uad6c\ud604\ud558\uae30 <a class=\"read-more\" href=\"http:\/\/waurimal.kr\/?p=676\">Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[300],"tags":[388,166,301,387],"class_list":["post-676","post","type-post","status-publish","format-standard","hentry","category-sem","tag-metasem","tag-sem","tag-301","tag-387"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - 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