What are the different ways to establish test reliability
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There are several ways to establish test reliability: test-retest method, parallel form method, and internal consistency. The test-retest method involves administering the same test to the same group at different times and calculating correlation. The parallel form method uses two versions of equivalent tests. Internal consistency examines correlations between different items on the same test. Pearson's correlation coefficient and linear regression can be used to analyze reliability data and determine the strength and significance of relationships between test scores.
![Monda
y test
Tuesda
y test
X Y
X² Y² XY
10 20 100 400 200
9 15 81 225 135
6 12 36 144 72
10 18 100 324 180
12 19 144 361 228
4 8 16 64 32
5 7 25 49 35
7 10 49 100 70
16 17 256 289 272
8 13 64 169 104
∑X=87 ∑Y=13
9
∑X²=87
1
∑Y²=212
5
∑XY=132
8
Substitute the
value in the
Formula:
r=
10 1328 − 87 139
10 871 − 87 2[10 2125 − 139 2]
r=
𝑛 ∑𝑥𝑦𝑧 − ∑𝑥 ∑𝑦
𝑛 ∑𝑥² − ∑𝑥 2[𝑛 ∑𝑦² − ∑𝑦 2]
r= 0.80](https://image.slidesharecdn.com/whatarethedifferentwaystoestablishtestreliability-220114042938/85/What-are-the-different-ways-to-establish-test-reliability-6-320.jpg)
What are the different ways to establish test reliability
- 1. WHAT ARE THE DIFFERENT WAYS TO ESTABLISH TEST RELIABILITY? BY: JAYREN DIOCOS - LOZANO
- 2. •1. Variable you are measuring •2 Type of test •3. Number of version of the test
- 3. Reliabilit y Test - Retest Method Parallel Form Split Half Method Internal Consist ency Inter Rater
- 4. 1. LINEAR REGRESSION X - axis Y - axis Score 1 Score 2 (Scatter plot) 5 10 15 20 25 30 35 40 15 20 25 30 35 40 45 50
- 5. 2. COMPUTATION OF Pearson r Correlation Correlation Coefficient
- 6. Monda y test Tuesda y test X Y X² Y² XY 10 20 100 400 200 9 15 81 225 135 6 12 36 144 72 10 18 100 324 180 12 19 144 361 228 4 8 16 64 32 5 7 25 49 35 7 10 49 100 70 16 17 256 289 272 8 13 64 169 104 ∑X=87 ∑Y=13 9 ∑X²=87 1 ∑Y²=212 5 ∑XY=132 8 Substitute the value in the Formula: r= 10 1328 − 87 139 10 871 − 87 2[10 2125 − 139 2] r= 𝑛 ∑𝑥𝑦𝑧 − ∑𝑥 ∑𝑦 𝑛 ∑𝑥² − ∑𝑥 2[𝑛 ∑𝑦² − ∑𝑦 2] r= 0.80
- 7. 3. DIFFERENCE BETWEEN A POSITIVE AND A NEGATIVE CORRELATION. • 0.80 – 1.00 Very strong relationship • 0.60 – 0.79 Strong relationship • 0.40 – 0.59 Substantial / marked relationship • 0.20 - 0.39 Weak relationship • 0.00 – 0.19 Negligible 4. DETERMINING THE STRENGTH OF THE CORRELATION.
- 8. 5. DETERMINING THE SIGNIFICANT OF CORRELATION. • In order to determine if the correlation is free of certain errors, it is tested for significance.