Réliabilitas (statistika): Béda antarrépisi
Konten dihapus Konten ditambahkan
Uchup19 (obrolan | kontribusi) mTidak ada ringkasan suntingan |
m Ngarapihkeun éjahan, replaced: nyaeta → nyaéta (3), make → maké (2), dipake → dipaké , ea → éa, kabeh → kabéh (2) |
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Baris ka-1:
Dina [[statistika]], '''réliabilitas''' hartina runtuyan ukuran nu angger atawa alat keur ngukur. Réliabilitas henteu pakait langsung jeung [[validitas (psikométri)|validitas]]. Réliabilitas nyaéta ukuran nu bisa dipercaya keur ngukur sacara angger, tapi teu perlu kana naon anu diukur. Conto, sanajan loba tes anu bisa diandelkeun, tapi teu
Dina elmu [[experiment|percobaan]], '''reliabilitas'''
== Estimasi ==
Reliabilitas bisa diestimasi ku sababaraha cara nu bisa dikelompokkeun kana dua tipe
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Each of these estimation methods is sensitive to different sources of error and so might not be expected to be equal. Also, reliability is a property of the ''scores of a measure'' rather than the measure itself and are thus said to be ''sample dependent''. Reliability estimates from one sample might differ from those of a second sample (beyond what might be expected due to sampling variations) if the second sample is drawn from a different population because the true reliability is different in this second population. (This is true of measures of all types--yardsticks might measure houses well yet have poor reliability when used to measure the lengths of insects.)
Baris ka-12:
* R(t) = 1 - F(t).
* R(t) = e^-ʎ.(t). (where ʎ is the failure rate)
Baris 21 ⟶ 20:
: <math>{\rho}_{xx'}=\frac{{\sigma}^2_T}{{\sigma}^2_X}=1-\frac{{{\sigma}^2_E}}{{{\sigma}^2_X}}</math>
where <math>{\rho}_{xx'}</math> is the symbol for the reliability of the observed score, ''X''; <math>{\sigma}^2_X</math>, <math>{\sigma}^2_T</math>, and <math>{\sigma}^2_E</math> are the variances on the measured, true and error scores respectively. Unfortunately, there is no way to directly observe or calculate the true score, so a variety of methods are used to estimate the reliability of a test.
Some examples of the methods to estimate reliability include test-retest reliability, internal consistency reliability, and parallel-test reliability. Each method comes at the problem of figuring out the source of error in the test somewhat differently.
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