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Physical Attractiveness: Tenmodels of different genders are rated on physical attractiveness (high score=more attractive).Reliability is checked by considering ratings at the outset (year 0, item

Physical Attractiveness:Tenmodels of different genders are rated on physical attractiveness (high score=more attractive).Reliability is checked by considering ratings at the outset (year 0, item 1); one year later (year 1, item 2), two years later (year 2, item 3); and five years later (year 5, item 4).. The six correlations reflect what kind of reliability measure (i.e., specify type of reliability assessed).A strong indicator of reliability would be greater than .80. Do any of the six correlations meet this criterion?Clarify. What is the primary source/nature of random error given what is being studied (i.e., specify primary source of random error causing change in coefficients)?Modify the data to discover how the reliability coefficient is affected by two errors (1) leniency, a bias toward rating all subjects as more attractive, by adding 2 points in year TWO (item 3) to all and (2) halo, a bias toward rating all women one point higher than men in all year (by adding 1 point to all women in all years). Why did the leniency change have the impact you discovered? Why did the halo change have the impact you discovered?Both involve what kind of error per the text discussion of error?

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