Spss chi square
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การใช้โปรแกรม SPSS ในการวิเคราะห์ Chi-square PowerPoint PPT Presentation


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การใช้โปรแกรม SPSS ในการวิเคราะห์ Chi-square. 14 มี.ค 50 LNG 301. การทดสอบ Chi-square. ใช้สำหรับข้อมูลที่อยู่ในรูปข้อมูลนามบัญญัติ ( Nominal Scale) เช่น จำนวนอาจารย์จำแนกตามตำแหน่งทางวิชาการ ตำแหน่งทางวิชาการ จำนวน(ความถี่) ศาสตราจารย์ 5 รองศาสตราจารย์ 48

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การใช้โปรแกรม SPSS ในการวิเคราะห์ Chi-square

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Spss chi square

SPSS Chi-square

14 . 50

LNG 301


Chi square

Chi-square

  • (Nominal Scale)

  • ()

  • 5

  • 48

  • 102

  • 10


Spss chi square

  • self access

  • 30

  • 40

  • 60

  • 50

  • 60

  • 120

  • 140


Chi square 3

Chi-square 3

  • (The 2 one variable case Goodness-of-fit test)

  • (Test of Homogeneity of Distribution) 2 2


Spss chi square

  • (Test of Independence) 2 2


1 the 2 one variable case goodness of fit test

1 (The 2 one variable case Goodness-of-fit test)

  • 2= ki=1(O-E)2

    E

    2

    O (Observe frequency)

    E (Expected frequency)

    K


Spss chi square

  • Hypothesis

  • H0 : H0 : = 0

  • H1 : H1 : = 0

  • =

  • 0 =


2 binomial

2 (Binomial)

  • 1 Ex 1

  • 100 60 40


Spss chi square

  • H0 :

  • H1 :


Spss chi square

SPSS

  • 1. Opinion Data Editor

  • 2. Value 0 1 0 =no 1=yes

  • 3. Measure Nominal

  • 4. Case 1 40 0

  • 5. Case 41 100 1


Chi square1

Chi-square

  • 1. menuAnalyze

  • 2. Nonparametric tests

  • 3. Binomial

  • 4. Opinion Test variable list

  • 5. Test Proportion .50

  • 6. OK


Spss chi square

  • Test Statistics

  • opinion of teacher

  • Chi-Square4.000

  • df1

  • Asymp. Sig..046

  • a 0 cells (.0%) have expected frequencies less than 5. The minimum expected cell frequency is 50.0.


Spss chi square

  • P-value .046 .05

  • H0


Spss chi square

2

  • EX 2 90 % 30 ( 1 0 )

  • 1 1 0 1 1 1 0 1 1 1

  • 0 1 1 1 1 1 1 1 1 0

  • 1 1 1 0 1 1 1 1 1 1


Spss chi square

  • H0 : 90 %

  • H1 : 90 %


Spss chi square

SPSS

  • 1. product Data Editor

  • 2. Value 0 1 0 =non standard 1= standard

  • 3. Measure Nominal

  • 4.


Chi square2

Chi-square

  • 1. menuAnalyze

  • 2. Nonparametric tests

  • 3. Binomial

  • 4. product Test variable list

  • 5. Test Proportion .09

  • 6. OK


Spss chi square

2

  • Ex3


Spss chi square

  • H0 :

  • H1 :

  • H0 : = 1:1:1:1:1:1:1

  • H1 : = 1:1:1:1:1:1:1


Spss chi square

SPSS

  • 1. custom Data Editor

  • 2. Value 1 - 7 1 =Monday 2=Tuesday 3=Wednesday 4=Thursday 5=Friday 6=Saturday 7=Sunday

  • 3. Measure Nominal

  • 4.


Chi square3

Chi-square

  • 1. menuAnalyze

  • 2. Nonparametric tests

  • 3. Chi-square

  • 4. Custom Test variable list

  • 5. Expected Values All categories equal

  • 6. OK


Spss chi square

  • H0 : = 1:1:1:1:1:1:1


Spss chi square

  • Ex 4 2:1:1:1:1:3:6

  • H0 : 2:1:1:1:1:3:6

  • H1 : 2:1:1:1:1:3:6


Chi square4

Chi-square

  • 1. menuAnalyze

  • 2. Nonparametric tests

  • 3. Chi-square

  • 4. Custom Test variable list

  • 5. Expected Values Value 2 1 1 1 1 3 6

  • 6. OK


Spss chi square

  • H0 : 2:1:1:1:1:3:6 2:1:1:1:1:3:6


Spss chi square

  • Ex5 5:3:2 1 2 3

  • 1 1 1 1 1 1 2 1 2 3 1 2 1 2 1 1 1 1 2 3

  • 1 1 3 2 1 1 1 1 1 1 1 2 1 2 2 1 3 1 1 2


Spss chi square

  • 5:3:2

  • H0 : 5:3:2

  • H1 : 5:3:2


Spss chi square

SPSS

  • 1. brand Data Editor

  • 2. Value 1 1 =sony 2=national 3=other

  • 3. Measure Nominal

  • 4.


Chi square5

Chi-square

  • 1. menuAnalyze

  • 2. Nonparametric tests

  • 3. Chi-square

  • 4. brand Test variable list

  • 5. Expected Values Value 5 3 2

  • 6. OK


Spss chi square

  • H0 : 5:3:2


Spss chi square

2 (Test of Homogeneity of Distribution) 2 2

  • chi-square 2


Spss chi square

  • ex 5


Spss chi square

  • H0 :

  • H1 :


Spss chi square

SPSS

  • 1. music income Data Editor

  • 2. Value music 1 = like 2=dislike

  • 3. Value income 1 = high 2=medium 3=low

  • 3. Measure Nominal

  • 4.


Chi square6

Chi-square

  • 1. menuAnalyze

  • 2. Descriptive statistics

  • 3. Crosstabs

  • 4. Music Row income Column

  • 5. Statistic Chi-square

  • 6. OK


Spss chi square

  • H0 H0 H0


Spss chi square

  • Ex 6 self access (1 2 )

  • 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15

  • 1 2 1 2 1 2 1 2 1 2 1 1 2 2 2

  • 1 1 1 1 2 1 2 1 1 1 2 2 1 1 1

  • 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30

  • 2 1 2 2 2 1 2 2 2 2 2 2 1 2 2

  • 1 2 1 1 2 2 1 1 1 1 1 1 2 1 1


Spss chi square

  • H0 :

  • H1 :


Spss chi square

SPSS

  • 1. Pre Post Data Editor

  • 2. Value Pre Post 1 = satisfy 2=unsatisfy

  • 3. Measure Nominal

  • 4.


Chi square7

Chi-square

  • 1. menuAnalyze

  • 2. Descriptive statistics

  • 3. Crosstabs

  • 4. Pre Row Post Column

  • 5. Statistic Mcnemar

  • 6. OK


Spss chi square

  • ( 2 10 22 )


Spss chi square

3 (Test of Independence) 2 2

  • 2 2

  • 2 2


Spss chi square

  • H0 :

  • H1 :


Spss chi square

  • Ex 7

  • 2814

    6126


Spss chi square

  • H0 :

  • H1 :


Spss chi square

SPSS

  • 1. school train Data Editor

  • 2. Value school 1 = small 2= medium 3=large

  • 3. Value train 1 = yes 2= no

  • Measure Nominal

  • 4.


Chi square8

Chi-square

  • 1. menuAnalyze

  • 2. Descriptive statistics

  • 3. Crosstabs

  • 4. school Row train Column

  • 5. Statistic Chi-square Cramers V

  • 6. OK


Spss chi square

  • H0 :


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