Measuring Perceived Skin Color: Spillover Effects and Likert-Type Scales
被引:0
|
作者:
Abrajano, Marisa
论文数: 0引用数: 0
h-index: 0
机构:
Univ Calif San Diego, Earl Warren Coll, Polit Sci & Provost, San Diego, CA 92093 USAUniv Calif San Diego, Earl Warren Coll, Polit Sci & Provost, San Diego, CA 92093 USA
Abrajano, Marisa
[1
]
Elmendorf, Christopher S.
论文数: 0引用数: 0
h-index: 0
机构:Univ Calif San Diego, Earl Warren Coll, Polit Sci & Provost, San Diego, CA 92093 USA
Elmendorf, Christopher S.
Quinn, Kevin M.
论文数: 0引用数: 0
h-index: 0
机构:
Univ Calif Davis, Law, Davis, CA 95616 USA
Univ Michigan, Political Sci, An Arbor, MI 48103 USAUniv Calif San Diego, Earl Warren Coll, Polit Sci & Provost, San Diego, CA 92093 USA
Quinn, Kevin M.
[2
,3
]
机构:
[1] Univ Calif San Diego, Earl Warren Coll, Polit Sci & Provost, San Diego, CA 92093 USA
[2] Univ Calif Davis, Law, Davis, CA 95616 USA
[3] Univ Michigan, Political Sci, An Arbor, MI 48103 USA
Discrimination based on skin color has been documented as a considerable problem in social science research. Most of this research relies on Likert-type ratings of skin color such as the Massey-Martin Scale (MMS). Scholars have raised questions about measurement error in such scales. We hypothesize that the coding of a person's skin color will vary depending on the race of persons previously coded. We find that the MMS is vulnerable to spillover effects: a person's skin is coded as darker, on average, if he is observed following a sequence of White persons than if he is observed following a sequence of Black persons. We also replicate previous work showing that Black and White coders use the scale differently. Finally, having coders cross-reference the palette at the time of coding, rather than recalling the palette from memory, fails to mitigate either race-of-coder or spillover effects.