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Cronbach's alpha
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===If there is no measurement error, the value of Cronbach's alpha is one.=== This anomaly also originates from the fact that <math>\rho_{T}</math> underestimates reliability. Suppose that <math>X_2</math> copied the value of <math>X_1</math> as it is, and <math>X_3</math> copied by multiplying the value of <math>X_1</math> by two. The covariance matrix between items is as follows, <math>\rho_{T}=0.9375</math>. {| class="wikitable" style="text-align: center;" |+ Observed covariance matrix |- ! ! <math>X_1</math> ! <math>X_2</math> ! <math>X_3</math> |- ! <math>X_1</math> | <math>1</math>||<math>1</math>||<math>2</math> |- ! <math>X_2</math> | <math>1</math>|| <math>1</math>|| <math>2</math> |- ! <math>X_3</math> | <math>2</math>|| <math>2</math>|| <math>4</math> |} For the above data, both <math>\rho_{P}</math> and <math>\rho_{C}</math> have a value of one. The above example is presented by Cho and Kim (2015).<ref name = ChoKim/>
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