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3.4 Friedman Page (198 To 205)

The document discusses the application of the Friedman Two-Way Analysis of Variance (X2r) to assess perceptions of interpersonal and visual-spatial intelligence among teachers, parents, and pupils in a school. It outlines specific problems, hypotheses, statistical methods, significance levels, and conclusions drawn from the analysis. The results indicate significant differences in perceptions regarding interpersonal intelligence but not for visual-spatial intelligence.
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0% found this document useful (0 votes)
10 views9 pages

3.4 Friedman Page (198 To 205)

The document discusses the application of the Friedman Two-Way Analysis of Variance (X2r) to assess perceptions of interpersonal and visual-spatial intelligence among teachers, parents, and pupils in a school. It outlines specific problems, hypotheses, statistical methods, significance levels, and conclusions drawn from the analysis. The results indicate significant differences in perceptions regarding interpersonal intelligence but not for visual-spatial intelligence.
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© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
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FRIEDMAN TWO-WAY ANALYSIS

OF VARIANCE (X2r)
PRETEST- Problem
Friedman Two-Way Analysis of Varaince (X2r) Jegie 198

Problem

Table 16 presents the perception of teachers, parents and pupils regarding


interpersonal intelligence of the pupils of a certain school.

Table 16

Perceived Interpersonal Intelligence

Indicators Teachers Parents Pupils

1. Modest in all occasion both public and 4.70 4.83 4.59


Private places.

2. Easily imitate gestures from others 4.75 4.81 4.65


specially from a person they idolized.

3. Give reactions from the novels viewed. 4.77 4.82 4.69

4. Share opinion. 4.65 4.79 4.57

5. Give firm decision. 4.74 4.77 4.50

Solve the problem by getting the following requirements:

1). Specific Problem


2). Null Hypothesis
3). Alternative Hypothesis
4). Statistical Method Used
5). Level of Significance
6). Region of Rejection
7). Computation of the value of H
8). Decision
9). Conclusion
PRETEST- Answers
Friedman Two-Way Analysis of Varaince (X2r) Jegie 199

I - Specific Problem

Is there any significant difference in the respondent’s perceptions regarding interpersonal


intelligence of the pupils in a certain school?

II - Null Hypothesis

There is no significant difference in the respondent’s perceptions regarding interpersonal


intelligence of the pupils in a certain school.

III - Alternative Hypothesis


There is a significant difference in the respondent’s perceptions regarding interpersonal
intelligence of the pupils in a certain school.

IV - Statistical Test:

Use Friedman Two-Way Analysis of Variance

V- Level of Significance:

Assume :  = 0.05

VI - Critical Region:

Degrees of freedom (df) = K – 1 where :


= 3 –1 k = number of town houses
= 2 X2 0.05 = 5.991

VII- Calculation

X2 r = 10.00

VIII- Decision

Since the computed value of X2 r = 10.00 is greater than the critical value at
0.05 which is equal to x2 0.05 = 5.991, therefore accept the alternative hypothesis.

IX – Conclusion

There is a significant difference in the respondent’s perceptions regarding interpersonal


intelligence of the pupils in a certain school.
FRIEDMAN TWO WAY ANALYSIS OF
VARIANCE
Jegie 200

FRIEDMAN TWO WAY ANALYSIS OF VARIANCE

Definition

 It is used to determine the significant difference in the mean rank


levels of 2 or more variables for a descriptive design.

Formula:

X2r = 12  R2i - 3 N (k + 1)
N k ( k + 1)

Where:

X2r = Friedman Two Way Analysis of Variance


N = number of rows
k = number of columns
Ri = ranks in the ith column
12 = constant

Steps

1. Rank the mean responses of the subjects where the


lowest mean value ranks 1.

2. Total the ranks of each variables to get  R .

3. Compute the value of X2r by using the formula.

4. Compute the degrees of freedom (df) by using the


formula, df = k – 1.

5. Choose the level of probability, either 0.01 or 0.05 and


refer to the chi-square table to determine if the
obtained computed value of X2r is significant or not. If
the obtained value is equal to or greater than the
tabular value in the table, it is significant; if the
computed value is less than the tabular value in the
table, it is insignificant.
FRIEDMAN TWO WAY ANALYSIS OF
VARIANCE
Jegie 201

Problem

Table 17

Mean Rank Level’s Differences of Responses on the


Adequacy of Instructional Materials as Perceived by Qualified
and Nonqualified Science and Mathematics Mentors in Different SUC Levels in a Certain Region

Levels of SUC Qualified Mentors (X1) Nonqualified Mentors (X2)

1 3.6 3.8

2 3.4 3.4

3 2.8 3.0

4 2.7 2.9

Solution

I Specific Question

Is there a significant difference in the mean rank levels of the adequacy of instructional
materials as perceived by the qualified and nonqualified science and mathematics
instructors and professors in SUCs in a certain region?

II Null Hypothesis

There is no significant difference in the mean rank levels of the adequacy of instructional
materials as perceived by the qualified and nonqualified science and mathematics
instructors and professors in SUCs in a certain region.

III Alternative Hypothesis

There is a significant difference in the mean rank levels of the adequacy of instructional
materials as perceived by the qualified and nonqualified science and mathematics
instructors and professors in SUCs in a certain region.

IV Level of Significance

Use  = 0.05
FRIEDMAN TWO WAY ANALYSIS OF
VARIANCE
Jegie 202

V Statistical Method Used

Friedman Two Way Analysis of Variance

VI Rejection Region

Df = k – 1 = 2–1 = 1 ( where k is the number of column)

X2 0.05 = 3.841,

VII Computation

Levels of SUC Qualified Mentors Nonqualified Mentors

X1 R1 X2 R2

1 3.6 1.0 3.8 2.0


2 3.4 1.5 3.4 1.5
3 2.8 1.0 3.0 2.0
4 2.7 1.0 2.9 2.0

Total  R1 = 4.5  R2 = 7.5

1. Rank the observed value in rows taking the lowest value


as rank 1.

For Row 1 = 3.6 as Rank 1 and 3.8 as Rank 2


For Row 2 = 3.4 as Rank 1.5 and 3.4 as Rank 1.5
For Row 3 = 2.8 as Rank 1 and 3.0 as Rank 2 etc.

2. Get the sum of the ranks per column as  R1 = 4.5


and  R2 = 7.5.

3. Substitute the computed values to the formula.

12
X2r =  R2 i - 3 N (k + 1)
N k ( k + 1)

X2r = 12  R21 + R22  - 3 N (k + 1)


N k ( k + 1)
FRIEDMAN TWO WAY ANALYSIS OF
VARIANCE
Jegie 203

Where N = number of rows = 4


k = number of columns = 2
R1 = 4.5
R2 = 7.5

X2r = 12  (4.5)2 + (7.5)2  -  (3) (4) (2 + 1) 


(4) (2) ( 2+1)

X2r = 12  (4.5) (4.5) + (7.5)(7.5)  -  (3) (4) (2 + 1) 


8(3)

X2r = 12  20.25 + 56.25  -  (12) ( 3 ) 


24

X2r = 12  76.50  -  (12) ( 3 ) 


24

X2r = 918 -  (12) ( 3 ) 


24

X2 r = 38.25 - 36.00

X2 r = 2.25

VIII Decision

Since the computed value of X2r = 2.25 is less than the tabular value at 5 percent
level of significance X2 0.05 = 3.841, therefore accept the null hypothesis.

IX Conclusion

There is no significant difference in the mean rank levels of the adequacy of instructional
materials as perceived by the qualified and nonqualified science and mathematics
instructors and professors in SUCs in a certain region.
POST TEST- Problem
Friedman Two-Way Analysis of Variance ( X2 r ) Jegie 204

Problem

Table 18 shows the teachers, parents, and pupils perception on visual-spatial


intelligence of the pupils of a certain school.

Table 18
Perceived Visual-Spatial Intelligence

Indicator Teachers Parents Pupils

1. Learn to use appropriate dress 4.62 4.73 4.54


for an occasion.

2. Appreciate the use of accessories 4.63 4.72 4.64


like jewelry.

3. Produce decorative objects using 4.48 4.66 4.58


recycled materials.

4. Make use of color combination in 4.66 4.58 4.61


any art works

5. Appreciate paintings made by 4.67 4.66 4.57


Filipino painters.

Solve the problem by getting the following requirements:

1). Specific Problem


2). Null Hypothesis
3). Alternative Hypothesis
4). Statistical Method Used
5). Level of Significance
6). Region of Rejection
7). Computation of the value of H
8). Decision
9). Conclusion
POST TEST- Problem
Friedman Two-Way Analysis of Variance ( X2 r ) Jegie 205

I - Specific Problem

Is there any significant difference in the respondent’s perceptions regarding visual-spatial


intelligence of the pupils in a certain school?

II - Null Hypothesis

There is no significant difference in the respondent’s perceptions regarding visual-spatial


intelligence of the pupils in a certain school.

III - Alternative Hypothesis

There is a significant difference in the respondent’s perceptions regarding visual-spatial


intelligence of the pupils in a certain school.

IV - Statistical Test:

Use Friedman Two-Way Analysis of Variance

V- Level of Significance:

Assume :  = 0.05

VI - Critical Region:

Degrees of freedom (df) = K – 1 where :


= 3 –1 k = number of town houses
= 2 X2 0.05 = 5.991

VII- Calculation

X2 r = 1.60

VIII- Decision

Since the computed value of X2 r = 1.60 is lesser than the critical value at
0.05 which is equal to x2 0.05 = 5.991, therefore accept the null hypothesis.

IX – Conclusion

There is no significant difference in the respondent’s perceptions regarding visual-spatial


intelligence of the pupils in a certain school.

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