SlideShare una empresa de Scribd logo
1 de 42
HLM階層線性模型演講
講師 : 中興大學 許健將顧問
2013/03/29
關鍵字請搜尋 : 三星課程網
A simple question
How much of the variability in pupil attainment is attributable to
schools level factors and how much to pupil level factors?
First of all we have to define what we mean by “variability”
A toy example – first we calculate the mean
Overall mean(0)
Two schools each with two pupils.
Overall mean= (3+2+(-1)+(-4))/4=0
3
2
-1
-4
attainment
School 2School 1
Calculating the “variance”
Overall mean(0)
3
2
-1
-4
attainment
School 2School 1
The total variance is the sum of the squares of the departures of the
observations around mean divided by the sample size(4) =
(9+4+1+16)/4=7.5
The variance of the school means around the overall mean
3
2
-1
-4
attainment
School 2School 1
Overall mean(0)
2.5
-2.5
The variance of the school means around the overall mean=
Total variance =7.5
(2.52+(-2.5)2)/2=6.25
The variance of the pupils scores around their school’s
mean
3
2
-1
-4
attainment
School 2School 1
2.5
-2.5
The variance of the pupils scores around their school’s mean=
The variance of the school means around overall mean = (2.52+(-
2.5)2)/2=6.25
Total variance =7.5=6.25+1.25
((3-2.5)2 + (2-2.5)2 + (-1-(-2.5))2 + (-4-(-2.5))2 )/4 =1.25
Returning to our question
How much of the variability in pupil attainment is attributable to
schools level factors and how much to pupil level factors?
In terms of our toy example we can now say
6.25/7.5= 82% of the total variation of pupils attainment is
attributable to school level factors
1.25/7.5= 18% of the total variation of pupils attainment is
attributable to pupil level factors
常數項
常數項
ijX
ijYjW ijr
ju0
ju1
j1
j0
00
10
01
11
ijijjj
ijjijjij
rXuu
XWXWY


10
11100100 
高階變項是對低
階迴歸係數做解
釋,而不是對依
變項本身做解釋
模型建構歷程
Snijders and Bosker(2002):
1.變項必要性與精簡性的取捨
2.統計顯著性與理論性的取捨
3.固定效果須有強力理論支持
4.由資料內容決定隨機效果
5.若交互作用達顯著,即使造成交互作用的變項之主要效果
未達顯著,則該變項亦需被保留。
6.若隨機效果達顯著,則其固定效果須被保留
7.聚合(Aggregate)後的階層變項可能是個重要變項
8.若變項間產生交互作用,則交互作用不具隨機效果
模型建構歷程
Hox(2002): (針對探索性研究)
1.先用隨機效果變異數模型並記錄模型適配度
2.將所有最低階之變項投入隨機效果共變數模型,決定需要
被保留之變項
3.檢視所有第二階層變項之固定效果,並比較模式間之適配
度
4.檢視第3步驟的變項中具有隨機效果者
5.將第4步驟中具有顯著解釋力的變項,依其隨機性之有無,
決定模型
6.將資料折半,投入相同模型中,確認其顯著性是否與完整
資料之模型相同
重新檢驗資料 檢驗ICC
一般迴歸分析 共變數模型
零模型
檢驗截距信度
不可接受 可接受
不顯著 顯著
步驟一:零模型
步驟二:共變數模型
共變數模型
階層一固定效果檢驗截距信度
逐一剔除不顯著者
檢驗離異數重新檢驗模型
保留顯著者
不顯著 顯著
步驟三:固定效果模型
不進一步分析 檢驗截距信度
保留顯著者逐一剔除不顯著者
重新檢驗模型 檢驗離異數
不顯著 顯著
檢驗離異數
階層二固定效果
係數低
係數高
步驟四:隨機係數模型
保留顯著者逐一剔除不顯著者
重新檢驗模型
不顯著 顯著
檢驗離異數
階層二隨機效果
檢驗離異數
步驟五:完整模型
保留顯著者逐一剔除不顯著者
重新檢驗模型 檢驗離異數
不顯著 顯著
檢驗離異數
階層二隨機效果
步驟六:複核效化 複核效化
ICC=26.12/26.12+81.24=0.24ICC=26.12/26.12+81.24=0.24
‘MathAch’ ≈50.76
(1.15)
‘MathAch’ ≈50.76
(1.15)
‘MathAch’ ≈ 46.36 + 2.40 x Homework 
(1.15)     (0.28)
‘MathAch’ ≈ 46.36 + 2.40 x Homework 
(1.15)     (0.28)
∆(Deviance)=3798.68 – 3727.48=71.20∆(Deviance)=3798.68 – 3727.48=71.20
18.012.26/34.2112.26)(
12.024.81/28.7124.81)(
22
22


B
w
RR
RR
學校
個體
null model
‘MathAch’ ≈ 46.32 + 1.98 x Homework
(1.76) (0.93)
‘MathAch’ ≈ 46.32 + 1.98 x Homework
(1.76) (0.93)
‘MathAch’ ≈ 49.05 + 1.98 x Homework ‐4.06 x 
Public
(2.18)   (0.92)                        (1.98)
‘MathAch’ ≈ 49.05 + 1.98 x Homework ‐4.06 x 
Public
(2.18)   (0.92)                        (1.98)
‘MathAch’ ≈ 48.52 -3.26 x Public + 2.30 x
Homework - 0.50 x HomePublic
(1.88) (3.02) (3.71) (1.59)
‘MathAch’ ≈ 48.52 -3.26 x Public + 2.30 x
Homework - 0.50 x HomePublic
(1.88) (3.02) (3.71) (1.59)
‘MathAch’ ≈ 52.72 -6.05 x Public + 0.92 x
Homework - 0.68 x HomePublic
(0.12) (0.38) (0.42) (0.10)
課程訊息
HLM階層線性模式基礎班台北場
日期:2013年4月27日(六)至4月28日(日)
時間:每日9:00-12:00與13:30-17:00
地點:台北商業技術學院
課程講師:中興大學 許健將顧問
詳請請關鍵字搜索 : 三星課程網

Más contenido relacionado

Destacado

SPSS教育訓練-聯合分析-三星統計夏恩顧問-20130824
SPSS教育訓練-聯合分析-三星統計夏恩顧問-20130824SPSS教育訓練-聯合分析-三星統計夏恩顧問-20130824
SPSS教育訓練-聯合分析-三星統計夏恩顧問-20130824
Beckett Hsieh
 
演講-臨床醫學統計方法攻略-三星統計威廉顧問-20130824
演講-臨床醫學統計方法攻略-三星統計威廉顧問-20130824演講-臨床醫學統計方法攻略-三星統計威廉顧問-20130824
演講-臨床醫學統計方法攻略-三星統計威廉顧問-20130824
Beckett Hsieh
 
結構方程式SEM模型配適度的迷思與傳聞-三星統計張偉豪-201307
結構方程式SEM模型配適度的迷思與傳聞-三星統計張偉豪-201307結構方程式SEM模型配適度的迷思與傳聞-三星統計張偉豪-201307
結構方程式SEM模型配適度的迷思與傳聞-三星統計張偉豪-201307
Beckett Hsieh
 
網路問卷、SPSS分析與聯合分析實作-三星統計夏恩顧問
網路問卷、SPSS分析與聯合分析實作-三星統計夏恩顧問網路問卷、SPSS分析與聯合分析實作-三星統計夏恩顧問
網路問卷、SPSS分析與聯合分析實作-三星統計夏恩顧問
Beckett Hsieh
 
SEM與Amos論文寫作班-三星統計張偉豪
SEM與Amos論文寫作班-三星統計張偉豪SEM與Amos論文寫作班-三星統計張偉豪
SEM與Amos論文寫作班-三星統計張偉豪
Beckett Hsieh
 
SEM與Amos進階-三星統計張偉豪
SEM與Amos進階-三星統計張偉豪SEM與Amos進階-三星統計張偉豪
SEM與Amos進階-三星統計張偉豪
Beckett Hsieh
 
教材摘要版 -Big data-海量資料的資料採礦方法-三星課程網陳景祥顧問-20130521
教材摘要版 -Big data-海量資料的資料採礦方法-三星課程網陳景祥顧問-20130521教材摘要版 -Big data-海量資料的資料採礦方法-三星課程網陳景祥顧問-20130521
教材摘要版 -Big data-海量資料的資料採礦方法-三星課程網陳景祥顧問-20130521
Beckett Hsieh
 

Destacado (12)

SPSS教育訓練-聯合分析-三星統計夏恩顧問-20130824
SPSS教育訓練-聯合分析-三星統計夏恩顧問-20130824SPSS教育訓練-聯合分析-三星統計夏恩顧問-20130824
SPSS教育訓練-聯合分析-三星統計夏恩顧問-20130824
 
演講-臨床醫學統計方法攻略-三星統計威廉顧問-20130824
演講-臨床醫學統計方法攻略-三星統計威廉顧問-20130824演講-臨床醫學統計方法攻略-三星統計威廉顧問-20130824
演講-臨床醫學統計方法攻略-三星統計威廉顧問-20130824
 
HLM階層線性模型進階班-許健將-2014版
HLM階層線性模型進階班-許健將-2014版HLM階層線性模型進階班-許健將-2014版
HLM階層線性模型進階班-許健將-2014版
 
質性研究軟體Nvivo10在學術研究的應用-三星統計陳群典顧問
質性研究軟體Nvivo10在學術研究的應用-三星統計陳群典顧問質性研究軟體Nvivo10在學術研究的應用-三星統計陳群典顧問
質性研究軟體Nvivo10在學術研究的應用-三星統計陳群典顧問
 
如何撰寫並投稿專業論文至SCI/SSCI期刊-三星統計陳建宏顧問-20130717
如何撰寫並投稿專業論文至SCI/SSCI期刊-三星統計陳建宏顧問-20130717如何撰寫並投稿專業論文至SCI/SSCI期刊-三星統計陳建宏顧問-20130717
如何撰寫並投稿專業論文至SCI/SSCI期刊-三星統計陳建宏顧問-20130717
 
結構方程式SEM模型配適度的迷思與傳聞-三星統計張偉豪-201307
結構方程式SEM模型配適度的迷思與傳聞-三星統計張偉豪-201307結構方程式SEM模型配適度的迷思與傳聞-三星統計張偉豪-201307
結構方程式SEM模型配適度的迷思與傳聞-三星統計張偉豪-201307
 
SEM結構方程模型與Amos基礎班-三星統計謝章升-20131122
SEM結構方程模型與Amos基礎班-三星統計謝章升-20131122SEM結構方程模型與Amos基礎班-三星統計謝章升-20131122
SEM結構方程模型與Amos基礎班-三星統計謝章升-20131122
 
網路問卷、SPSS分析與聯合分析實作-三星統計夏恩顧問
網路問卷、SPSS分析與聯合分析實作-三星統計夏恩顧問網路問卷、SPSS分析與聯合分析實作-三星統計夏恩顧問
網路問卷、SPSS分析與聯合分析實作-三星統計夏恩顧問
 
SEM與Amos論文寫作班-三星統計張偉豪
SEM與Amos論文寫作班-三星統計張偉豪SEM與Amos論文寫作班-三星統計張偉豪
SEM與Amos論文寫作班-三星統計張偉豪
 
SEM與Amos進階-三星統計張偉豪
SEM與Amos進階-三星統計張偉豪SEM與Amos進階-三星統計張偉豪
SEM與Amos進階-三星統計張偉豪
 
To be master or slave of statistics
To be master or slave of statisticsTo be master or slave of statistics
To be master or slave of statistics
 
教材摘要版 -Big data-海量資料的資料採礦方法-三星課程網陳景祥顧問-20130521
教材摘要版 -Big data-海量資料的資料採礦方法-三星課程網陳景祥顧問-20130521教材摘要版 -Big data-海量資料的資料採礦方法-三星課程網陳景祥顧問-20130521
教材摘要版 -Big data-海量資料的資料採礦方法-三星課程網陳景祥顧問-20130521
 

Similar a HLM演講投影片-三星統計許健將顧問-20130329

Work hard to make certain that the results you have are accurate b.docx
Work hard to make certain that the results you have are accurate b.docxWork hard to make certain that the results you have are accurate b.docx
Work hard to make certain that the results you have are accurate b.docx
keilenettie
 
F ProjHOSPITAL INPATIENT P & L20162017Variance Variance Per DC 20.docx
F ProjHOSPITAL INPATIENT P & L20162017Variance Variance Per DC 20.docxF ProjHOSPITAL INPATIENT P & L20162017Variance Variance Per DC 20.docx
F ProjHOSPITAL INPATIENT P & L20162017Variance Variance Per DC 20.docx
mecklenburgstrelitzh
 
HUM110HM—Assignment 2 Directions After watching the Wate.docx
HUM110HM—Assignment 2 Directions After watching the Wate.docxHUM110HM—Assignment 2 Directions After watching the Wate.docx
HUM110HM—Assignment 2 Directions After watching the Wate.docx
adampcarr67227
 
The effect of investment on school building and student performanc.docx
The effect of investment on school building and student performanc.docxThe effect of investment on school building and student performanc.docx
The effect of investment on school building and student performanc.docx
mehek4
 
The-Link-Between-Social-Anxiety-on-the-Academic (1).pptx
The-Link-Between-Social-Anxiety-on-the-Academic (1).pptxThe-Link-Between-Social-Anxiety-on-the-Academic (1).pptx
The-Link-Between-Social-Anxiety-on-the-Academic (1).pptx
JuanalynCalibog
 

Similar a HLM演講投影片-三星統計許健將顧問-20130329 (19)

Quantitative Methods for Lawyers - Class #22 - Regression Analysis - Part 5
Quantitative Methods for Lawyers - Class #22 - Regression Analysis - Part 5Quantitative Methods for Lawyers - Class #22 - Regression Analysis - Part 5
Quantitative Methods for Lawyers - Class #22 - Regression Analysis - Part 5
 
Chapter 5 Section (2).ppt
Chapter 5 Section (2).pptChapter 5 Section (2).ppt
Chapter 5 Section (2).ppt
 
Day 10 prediction and regression
Day 10 prediction and regressionDay 10 prediction and regression
Day 10 prediction and regression
 
Work hard to make certain that the results you have are accurate b.docx
Work hard to make certain that the results you have are accurate b.docxWork hard to make certain that the results you have are accurate b.docx
Work hard to make certain that the results you have are accurate b.docx
 
DE-MYSTIFYING THE U.S. NEWS RANKINGS
DE-MYSTIFYING THE U.S. NEWS RANKINGSDE-MYSTIFYING THE U.S. NEWS RANKINGS
DE-MYSTIFYING THE U.S. NEWS RANKINGS
 
Lori PR 2012-13
Lori PR 2012-13Lori PR 2012-13
Lori PR 2012-13
 
Quantitative Analysis For Management 11th Edition Render Solutions Manual
Quantitative Analysis For Management 11th Edition Render Solutions ManualQuantitative Analysis For Management 11th Edition Render Solutions Manual
Quantitative Analysis For Management 11th Edition Render Solutions Manual
 
विचलनशीलता के मान
विचलनशीलता के मानविचलनशीलता के मान
विचलनशीलता के मान
 
Interpreting Test Scores
Interpreting Test ScoresInterpreting Test Scores
Interpreting Test Scores
 
Practical Language Testing by Fulcher (2010)
Practical Language Testing by Fulcher (2010)Practical Language Testing by Fulcher (2010)
Practical Language Testing by Fulcher (2010)
 
Zscores
ZscoresZscores
Zscores
 
F ProjHOSPITAL INPATIENT P & L20162017Variance Variance Per DC 20.docx
F ProjHOSPITAL INPATIENT P & L20162017Variance Variance Per DC 20.docxF ProjHOSPITAL INPATIENT P & L20162017Variance Variance Per DC 20.docx
F ProjHOSPITAL INPATIENT P & L20162017Variance Variance Per DC 20.docx
 
HUM110HM—Assignment 2 Directions After watching the Wate.docx
HUM110HM—Assignment 2 Directions After watching the Wate.docxHUM110HM—Assignment 2 Directions After watching the Wate.docx
HUM110HM—Assignment 2 Directions After watching the Wate.docx
 
Bab 7.ppt
Bab 7.pptBab 7.ppt
Bab 7.ppt
 
Standard Deviation
Standard DeviationStandard Deviation
Standard Deviation
 
ch04sdsdsdsdsdsdsdsdsdsdswewrerertrtr.ppt
ch04sdsdsdsdsdsdsdsdsdsdswewrerertrtr.pptch04sdsdsdsdsdsdsdsdsdsdswewrerertrtr.ppt
ch04sdsdsdsdsdsdsdsdsdsdswewrerertrtr.ppt
 
The effect of investment on school building and student performanc.docx
The effect of investment on school building and student performanc.docxThe effect of investment on school building and student performanc.docx
The effect of investment on school building and student performanc.docx
 
The-Link-Between-Social-Anxiety-on-the-Academic (1).pptx
The-Link-Between-Social-Anxiety-on-the-Academic (1).pptxThe-Link-Between-Social-Anxiety-on-the-Academic (1).pptx
The-Link-Between-Social-Anxiety-on-the-Academic (1).pptx
 
Chap007
Chap007Chap007
Chap007
 

Más de Beckett Hsieh

Más de Beckett Hsieh (20)

謝章升-Google Analytics進階
謝章升-Google Analytics進階謝章升-Google Analytics進階
謝章升-Google Analytics進階
 
謝章升-Google Analytics入門
謝章升-Google Analytics入門謝章升-Google Analytics入門
謝章升-Google Analytics入門
 
謝章升-Google我的商家課程講義
謝章升-Google我的商家課程講義謝章升-Google我的商家課程講義
謝章升-Google我的商家課程講義
 
謝章升-Google Analytics網站流量分析入門課程講義
謝章升-Google Analytics網站流量分析入門課程講義謝章升-Google Analytics網站流量分析入門課程講義
謝章升-Google Analytics網站流量分析入門課程講義
 
謝章升-個人品牌如何知識變現
謝章升-個人品牌如何知識變現謝章升-個人品牌如何知識變現
謝章升-個人品牌如何知識變現
 
謝章升-數位行銷基本力
謝章升-數位行銷基本力謝章升-數位行銷基本力
謝章升-數位行銷基本力
 
GTM(Google Tag Manager)懶人包-謝章升
GTM(Google Tag Manager)懶人包-謝章升GTM(Google Tag Manager)懶人包-謝章升
GTM(Google Tag Manager)懶人包-謝章升
 
Google廣告入門實作-三星統計謝章升-20171031
Google廣告入門實作-三星統計謝章升-20171031Google廣告入門實作-三星統計謝章升-20171031
Google廣告入門實作-三星統計謝章升-20171031
 
參考講義展示版-丘祐瑋-20170617-機器學習python入門者課程
參考講義展示版-丘祐瑋-20170617-機器學習python入門者課程參考講義展示版-丘祐瑋-20170617-機器學習python入門者課程
參考講義展示版-丘祐瑋-20170617-機器學習python入門者課程
 
謝章升-演講-大數據行銷-網路廣告解讀-20170327
謝章升-演講-大數據行銷-網路廣告解讀-20170327謝章升-演講-大數據行銷-網路廣告解讀-20170327
謝章升-演講-大數據行銷-網路廣告解讀-20170327
 
謝章升-演講-Ga網站流量分析入門-20170410
謝章升-演講-Ga網站流量分析入門-20170410謝章升-演講-Ga網站流量分析入門-20170410
謝章升-演講-Ga網站流量分析入門-20170410
 
謝章升-演講-拉新與熟客經營-再行銷廣告與EDM-20170413
謝章升-演講-拉新與熟客經營-再行銷廣告與EDM-20170413謝章升-演講-拉新與熟客經營-再行銷廣告與EDM-20170413
謝章升-演講-拉新與熟客經營-再行銷廣告與EDM-20170413
 
謝章升-演講-WordPress ORG建構網頁入門-20170424
謝章升-演講-WordPress ORG建構網頁入門-20170424謝章升-演講-WordPress ORG建構網頁入門-20170424
謝章升-演講-WordPress ORG建構網頁入門-20170424
 
三星統計張偉豪-統計4超人-SPSS,SEM,HLM,PLS
三星統計張偉豪-統計4超人-SPSS,SEM,HLM,PLS三星統計張偉豪-統計4超人-SPSS,SEM,HLM,PLS
三星統計張偉豪-統計4超人-SPSS,SEM,HLM,PLS
 
張偉豪-擺脫墨菲定律魔咒的迷思-Logistc迴歸-20160602
張偉豪-擺脫墨菲定律魔咒的迷思-Logistc迴歸-20160602張偉豪-擺脫墨菲定律魔咒的迷思-Logistc迴歸-20160602
張偉豪-擺脫墨菲定律魔咒的迷思-Logistc迴歸-20160602
 
謝章升-Google Analytics網站流量分析入門實作
謝章升-Google Analytics網站流量分析入門實作謝章升-Google Analytics網站流量分析入門實作
謝章升-Google Analytics網站流量分析入門實作
 
FB廣告入門
FB廣告入門FB廣告入門
FB廣告入門
 
演講-Meta analysis in medical research-張偉豪
演講-Meta analysis in medical research-張偉豪演講-Meta analysis in medical research-張偉豪
演講-Meta analysis in medical research-張偉豪
 
看不見的消費者 Google關鍵字廣告實作-三星統計謝章升
看不見的消費者 Google關鍵字廣告實作-三星統計謝章升看不見的消費者 Google關鍵字廣告實作-三星統計謝章升
看不見的消費者 Google關鍵字廣告實作-三星統計謝章升
 
品牌管理師證照重點複習-謝章升-20151221
品牌管理師證照重點複習-謝章升-20151221品牌管理師證照重點複習-謝章升-20151221
品牌管理師證照重點複習-謝章升-20151221
 

Último

Salient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functionsSalient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functions
KarakKing
 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
ZurliaSoop
 

Último (20)

Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...Kodo Millet  PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
Kodo Millet PPT made by Ghanshyam bairwa college of Agriculture kumher bhara...
 
Salient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functionsSalient Features of India constitution especially power and functions
Salient Features of India constitution especially power and functions
 
How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17How to Create and Manage Wizard in Odoo 17
How to Create and Manage Wizard in Odoo 17
 
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptxHMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
HMCS Vancouver Pre-Deployment Brief - May 2024 (Web Version).pptx
 
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptxBasic Civil Engineering first year Notes- Chapter 4 Building.pptx
Basic Civil Engineering first year Notes- Chapter 4 Building.pptx
 
How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17How to Give a Domain for a Field in Odoo 17
How to Give a Domain for a Field in Odoo 17
 
Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)Accessible Digital Futures project (20/03/2024)
Accessible Digital Futures project (20/03/2024)
 
Graduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - EnglishGraduate Outcomes Presentation Slides - English
Graduate Outcomes Presentation Slides - English
 
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdfUnit 3 Emotional Intelligence and Spiritual Intelligence.pdf
Unit 3 Emotional Intelligence and Spiritual Intelligence.pdf
 
How to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptxHow to setup Pycharm environment for Odoo 17.pptx
How to setup Pycharm environment for Odoo 17.pptx
 
Food safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdfFood safety_Challenges food safety laboratories_.pdf
Food safety_Challenges food safety laboratories_.pdf
 
On National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan FellowsOn National Teacher Day, meet the 2024-25 Kenan Fellows
On National Teacher Day, meet the 2024-25 Kenan Fellows
 
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
80 ĐỀ THI THỬ TUYỂN SINH TIẾNG ANH VÀO 10 SỞ GD – ĐT THÀNH PHỐ HỒ CHÍ MINH NĂ...
 
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptx
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptxCOMMUNICATING NEGATIVE NEWS - APPROACHES .pptx
COMMUNICATING NEGATIVE NEWS - APPROACHES .pptx
 
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
Jual Obat Aborsi Hongkong ( Asli No.1 ) 085657271886 Obat Penggugur Kandungan...
 
Micro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdfMicro-Scholarship, What it is, How can it help me.pdf
Micro-Scholarship, What it is, How can it help me.pdf
 
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
Beyond_Borders_Understanding_Anime_and_Manga_Fandom_A_Comprehensive_Audience_...
 
Wellbeing inclusion and digital dystopias.pptx
Wellbeing inclusion and digital dystopias.pptxWellbeing inclusion and digital dystopias.pptx
Wellbeing inclusion and digital dystopias.pptx
 
Google Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptxGoogle Gemini An AI Revolution in Education.pptx
Google Gemini An AI Revolution in Education.pptx
 
Python Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docxPython Notes for mca i year students osmania university.docx
Python Notes for mca i year students osmania university.docx
 

HLM演講投影片-三星統計許健將顧問-20130329