In a photo lineup, which approach is described?

Prepare for the FCCJA Department of Criminal Justice Services (DCJS) Exam. Study with flashcards and multiple choice questions, each question has hints and explanations. Get ready for your exam!

Multiple Choice

In a photo lineup, which approach is described?

Explanation:
Minimizing bias in photo lineups means presenting a group of photos that are similar in appearance and come from the same photo type, so the witness can compare features without being led by image differences. The described approach fits best because it builds a fair and consistent lineup: you gather about five to six additional photos that resemble the suspect and use mug shot or DMV photos, all of the same type. Keeping the photos uniform in type reduces cues from lighting, background, or photo quality, helping the witness focus on facial features and description rather than environmental differences. This method aligns with best practices for reliable identifications. Using a single mug shot, random photos not resembling the suspect, or only DMV photos would introduce bias or reduce accuracy due to mismatched images or lack of a proper comparative set.

Minimizing bias in photo lineups means presenting a group of photos that are similar in appearance and come from the same photo type, so the witness can compare features without being led by image differences. The described approach fits best because it builds a fair and consistent lineup: you gather about five to six additional photos that resemble the suspect and use mug shot or DMV photos, all of the same type. Keeping the photos uniform in type reduces cues from lighting, background, or photo quality, helping the witness focus on facial features and description rather than environmental differences. This method aligns with best practices for reliable identifications. Using a single mug shot, random photos not resembling the suspect, or only DMV photos would introduce bias or reduce accuracy due to mismatched images or lack of a proper comparative set.

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