Rating Scale $(1-10,1=$Youngest, $10=$ Oldest$)$ Cue$1$Skin

Cue $2=$ Hair

Cue$3$Eyes

Cue $4-$ Mouth

Age $$ What is the age of the person in the picture?

Lens Model Assignment

Task: Provide a $2-4$ page $($max$)$ write$-$up answering the questions below.

Steps

$1.$ Specify the cues relevant to making the judgment. We will do this in class.

$2.$ Develop and draw the left$-$hand side of the Lens model and posit the relationships between the criterion and the cues. We will use the data from the student cue assessments from $2022$ and $2024$ as a proxy for the ecological value of the cue. For example, for each Cue $(1-4),$ take the average of the students$$ judgments of the value of Cue and use that to calculate the environmental predictability. Calculate a linear $($regression equation$)$ model to describe the criterion$-$cue relationships. How good is this relationship? Do the cues adequately predict the criterion?

$$ Purpose: The purpose of the assignment is for you to construct a linear model $($Lens$)$ to evaluate how

well the students in the class are at judging the age of someone from a picture.

Criteria: Your answer should demonstrate that you understand the basic structure of a Lens model and

can calculate and interpret the statistics to capture the judgment process of a subject.$$

$3.$

Develop and draw the right hand side of the Lens model and examine how each student$/$subject uses the cues to make a judgment. Use the class data for this step. Calculate a linear $($regression equation$)$ model the judgment of the subject. How good is the subject at predicting the age of the people in the pictures? What cues to subjects rely on for prediction?

$4.$

Compare the left hand side of the model with the right hand side of the model. What type of advice would you give to the subject to improve his$/$her judgment? Why do you think this advice would work?

You can make up any reasonable assumptions and or data necessary to complete the assignment but do your best to make reasonable assumptions.

Judge Data Set

Rater

Subject name C$1$

Sub Rater Skin $1$ Diana $11$ Tory $21$Edit$11$ Mengyue $11$ YuRong $01$ Angel $12$ Diana $12$ Tory $1$

C$2$ C$3$ C$4$ Hair Eyes Mouth

$111122111111121$

$000$

$111$

$112$

Etc....

Rater's Age Estimation Judgment $1$

$1$

$1$

$0\mathrm{.}5$

$0$

$0$

$3$

$2$

Participant's actual age Actual

$1$

$1$

$1$

$1$

$1$

$1$

$3$

$3$

Some regressions you might want to run.

$1.$ Judgment $=$ Skin, Hair, Eyes, Mouth a$.$ Run a regression by rater

Ecological Validities $$ calculate the appropriate values based on the data set from ALL students from $2022$ and $2024)$

Actual

C$1$ C$2$ C$3$ C$4$

Skin Hair Eyes Mouth $11\mathrm{.}000\mathrm{.}830\mathrm{.}830\mathrm{.}8331\mathrm{.}331\mathrm{.}831\mathrm{.}171\mathrm{.}6792\mathrm{.}172\mathrm{.}172\mathrm{.}331\mathrm{.}83$

$132\mathrm{.}172\mathrm{.}332\mathrm{.}672\mathrm{.}17173\mathrm{.}332\mathrm{.}673\mathrm{.}172\mathrm{.}67223\mathrm{.}673\mathrm{.}834\mathrm{.}174\mathrm{.}83$

Etc...

$2.$

Achievement $($Accuracy$)$ Correlations

Actual $=$ Skin, Hair, Eyes, Mouth

$1.$ Judgment x Actual a$.$ By rater