meta-analysis - WordPress.com

meta-analysis - WordPress.com

(meta-analysis)meta-analysis) 1. 2. 3. 4. 5. (meta-analysis)effect size) 1.

EARCH SYNTHESIS/REV / )

(meta-analysis)scientific metho 1. / 2. 3.

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(meta-analysis)Research Review) (meta-analysis)Research of Rese (meta-analysis)Meta-analysis) a-analytic Synthesis)

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(meta-analysis)DV = ) (meta-analysis)self efficacy) (meta-analysis)DV ) 1 DV 2 DV DV 3 DV

DV : Y = f (meta-analysis)X, Z, Erro d) r Effect size = [ YE : r = f (meta-analysis)X, Y, Z, C,

2.1 2.2 2.3 2.4 (meta-analysis)unit of ana

. X X Y Z Y

YX = X Y = (meta-analysis)effect size) = d)

Z X Y Z d) X Y

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2= 1= RI DV IV D 1 2 3

DESI NG GN R (meta-analysis)effect size (meta-analysis)Effect Siz Y E - YC Effect Size = d) =

SD CONTROL BY DESIGN CONTROL BY

X 1 X2 Y r1 = (meta-analysis)X1, r2 = (meta-analysis)X2, E: X R C:

YE YC d) = X YE YC dG SC YE YC dH S pooled 2 dG dH

1 v ; 2 v SE / SC d = [yE-yC]/S Y pE pC d =

pC(1 pC) r n d 2 = nd 4n 8 t r=

2 t n 2 r n 22 d= 2 n1 r r

2 = 2 n X 1 X2

d) = X Y Y r = (meta-analysis)X, Y C1 C2 - d), r d), r - d), r C

. IV DV 1.

- - Stem Leaf Plot, Box Plot 2. HUNTER SAMPLING ERROR MEASUREMENT ERROR

RANGE RESTRICTION - - GLASS HUN LASS HUNTE

: X1, X2, X3 IV: S, T, M, V: Y Xs, Ys, Int. V: Z DV: d), r EV: Other d) X M variables 1 1 d)

X 2 d) 2 X 3 S Y X s Y

d) GPA A A

B TT. GPA GPA PA

meta-analy 1. Epi Meta is free meta analysis softw)are d)eveloped) by Statistical and) Epid)emiolog)y Branch, Division of Prevention Research and) Analytic Method)s, CDC, A tlanta, GA and) can be d)o w)nload)ed) from the follow) ing) site:

http://ftp.cd)c.g)ov/pub/Sof meta-analy 3. Meta-Analysis Easy to Answer is a free prog)ram w)ritten by David) A. Kenny. The prog)ram and) the d)ocumentation can be d)ow)nload)ed) from the follow)ing) site: http://d)avid)akenny.net/m eta.htm or http://users.rcn.com/ d)akenny/meta.htm

meta-analy 5. MetaStat: is a free softw)are w)ritten by Law)rence M. Rud)ner, Gene V Glass, David) L. Evartt, and) Patrick J. Emery, and) it d)oes a variety of meta-analytic statistics. It can be d)ow)nload)ed) from: http:// ericae.net/meta/metastat .htm

1. 2.1 2.2 : 2. 2.1 / . 2.2 2.3 3.

(meta-analysis)causal mod)el) 3.1 3.2 1) 2) 6.

1 (meta-analysis)25 323 = 0.995 = 1.148 33 2

(meta-analysis)2538) (meta-analysis)) 2527-2528 2,5 8 , , ynthesis or Meg)a-an Haertel and) Walberg) d) Curlette (meta-analysis)1996)

4 (meta-analysis)2545) 9 0.893 63.53

5 (meta-analysis)2539) .. 2538 24 5 5 6

(meta-analysis)2545) (meta-analysis)2545) (meta-analysis)HLM) (meta-analysis)S LISREL) 7 Meta-Analytic Structural Equation Mod)eling) (meta-analysis)MASEM) = SEM-based) meta-analysis Shad)ish (meta-analysis)1996)

SEM Cheung) (meta-analysis)2008) - 1992, 1995 Becker GLM - 1996 Shad)ish path mod)el - 2004 Hunter & Schmid)t: MA + SEM - 2005 Cheung) & Chan MASEM - 2007 Muthen & Muthen: Mixture, multi-level SEM - 2008 Cheung) MASEM

Equivalence betw)een MA and) SEM: 1. MA using) MiMA (meta-analysis)Viechtbauer, 2006) 2. SEM using) Mplus (meta-analysis)Muthen&Muthen, 2007) 3. MASEM using) MA + SEM (meta-analysis)Cheung), 2008) MASEM 1. - 2. r

3. SEM 4. MASEM Mod)els in the Future (meta-analysis)Cheung), 2008) 1. No d)ifference betw)een applying) SEM to primary d)ata vs. meta-analytic d)ata 2. Mod)el assessment w)ith chisquare & g)ood)ness of fit ind)ices 3. Method)s of estimating) the variance component using) SEM w)ith robust stand)ard) errors in variance component estimates:

using) ML or REML = restricted) maximum likelihood) to correct bias Note: Muthen&Muthen used) the 7. (meta-analysis)META-ETHNOGRAPHY) Meta-ethnog)raphy (meta-analysis)Noblit and) Hare, 1998) = a synthesis of

qualitative stud)ies = an interpretive approach of synthesizing) und)erstand)ing) from ethnog)raphic research. 1. (meta-analysis)Metaphor) (meta-analysis)themes) (meta-analysis)perspectives) / // (meta-analysis)concepts)

Five criteria of ad)equacy of (meta-analysis) N oblit and) metaphors Hare, 1998) 1) Economy (meta-analysis)achieve the explanation w)ith parsimony) 2) Cog)ency (meta-analysis)achieve the

explanation w)ithout red)und)ancy, ambig)uity) 1. - 2. 3. 4. (meta-analysis)TRANSLATION) 1.

(meta-analysis)RECIPROCAL TRANSLATION) 2. (meta-analysis)REFUTATIONAL (meta-analysis)Cross-impact matrix analysis) (meta-analysis)cause and) effect) 1.

2. 3. 1 2 3 4

5 2 2 0 0 4

2 2 2 8 2 1 5

2 6 2 2 0 4. 0

2 2 5. / 0 2 1 2

5 1 2 3 4 5 6 7 1. 1.0 0 2.

1.0 0 3. 0.3 0.8 3 0.3 3 0.00

0.0 0 0.0 0 0.0 0 0. 1. 0. 89 22 67 2.0 0

0.3 3 0.6 7 1. 0. 67 33 2.0 0 0.0

0 0.3 3 0. 00 2.0 0 0.1 7

0.3 3 2.0 0 0.0 0 0.3 3 0.0 0

2.0 0 9 0.8 3 8 4. 0.8

3 1.1 1 1.6 7 5. 0.0 0 0.7

8 0.3 3 0.0 0 6. 0.0 0

2.0 0 2.0 0 2.0 0 2.00 7. 0.0

0.3 0.0 0.1 0.00 0.0 1.0

(meta-analysis)1-2) 2.00 1.00 2.00 2.00 (meta-analysis)3-5) 1.67 1.11 2.00

1.67 1.22 (meta-analysis)19) 1.33 2.00 (meta-analysis)6-8)1.67 2.00 (meta-analysis)9-11) 1.67 2.00

2.00 2.00 (meta-analysis)12-14) 2.00 2.00 (meta-analysis)16-17) 2.00 2.00 2.00

(meta-analysis)21) 2.00 2.00 2.00 (meta-analysis)15) 2.00 2.00 (meta-analysis)20)

(meta-analysis)18) 2.00 1.00 Meta-Stud)y of Qualitative Health Research Paterson, B.L., Thorne, S.E., Canam, C. & Jilling), C.(meta-analysis)2001) Meta-Stud)y Components: 1. Meta-d)ata analysis = analysis of

analyses from primary qualitative research 2. Meta-method) = stud)y how) research method)olog)y Meta-Stud)y of Qualitative Health Research Paterson, B.L., Thorne, S.E., Canam, C. & Jilling), C.(meta-analysis)2001) Meta-Stud)y Process: 1. Formulating) a

research question 2. Selection and) appraisal of primary research 3. Meta-d)ata analysis 4. Meta-Method) 4 (meta-analysis)2543)

(meta-analysis)2547) 8 (meta-analysis)2551)

9 (meta-analysis)2551) (meta-analysis)cross impact matrix an

- -

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