Landmark-Based Morphometrics (01/18/22)

$125.00

Webinar Date

Jan 18, 2022
Tuesday

Webinar Time

7am-11am PST

Webinar Duration

4 hours

Availability: In stock

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Instructor: Alice White

Landmark-based morphometrics are quantitative methods used by scientists to study form, and variation in form, within plant and animal species. This is essentially the same method used, albeit more qualitatively, during the examination of friction ridge impressions. A key difference for friction ridge examiners is that this method must be applied along two dimensions: 1) variation of friction ridge features within the human population (inter-source variation) and 2) variation in the recording of friction ridge skin from the same person (intra-source variation). Inter-source variation establishes the diagnosticity of the feature for establishing search parameters and establishing identity. Intra-source variation establishes whether the attributes of a feature are within tolerance for having come from the same source skin.

Accurate examinations require an understanding of the distribution of the friction ridge features within the population, the morphometric attributes of the features (aspects that can be assessed qualitatively or quantitatively), the diagnosticity of the features for assigning search parameters or identity, and factors that cause variation in appearance in the attributes of a feature. This webinar will introduce the application of landmark-based morphometrics to friction ridge impressions and demonstrate how this approach can applied in casework.

Learning Outcomes:

  • The attendee will be able to define landmark-based morphometrics.
  • The attendee will be able to describe the difference between inter-source and intra-source variation.
  • The attendee will be able to recognize factors that cause variation in the recording of friction ridge features.
  • The attendee will be able to describe the relationship between search diagnosticity and source diagnosticity.
  • The attendee will be able to explain the correlation between macroscopic attributes of features and developmental stability.
  • The attendee will be able to explain the correlation between microscopic attributes of features and developmental noise.
  • The attendee will be able to indicate friction ridge features affected by adolescent growth and aging.
  • The attendee will be able to indicate friction ridge features affected by compressive stress, shearing stress, and torque.
  • The attendee will be able to indicate friction ridge features affected by angle of contact, flexion of the hand, and adduction of the digits.
  • The attendee will be able to indicate friction ridge features affected by injury, diseases, and electronic capture errors affect the features of the friction ridge skin.

Course Handout

Prior to the webinar (typically 1 – 2 days) you will receive an email link to a file or folder to download the handout and any relevant supplemental information. The main course handout can also be downloaded from the webinar platform at the time of the webinar.

Assessing Learning Outcomes (a.k.a. Quiz)

In order to verify the learning outcomes have been achieved, there is a 20-question quiz via SurveyMonkey at the end of each webinar. Attendees must score a minimum of 70% on the quiz in order to receive a training certificate for the webinar. Please note the quizzes are open-book and poll questions are given during the webinar to prepare attendees for the quiz.

Attendance Policy

This webinar may only be attended by the person who is registered for the webinar. Evolve Forensics does not permit broadcasting, watching, listening, or distributing the webinar or any of the webinar handouts to individuals who are not registered for this webinar.

Software Requirements

Attendees must be able to access the following websites in order to participate:

Webinar Platform: GoToWebinar

Test Platform: SurveyMonkey

The following YouTube Video shows how to use GoToWebinar as an attendee: https://youtu.be/IQ3Xwwgbd8Y

Questions?

Please contact Alice White via email at Alice@EvolveForensics.com

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