Introduction Results Category score Overall result Detailed score Resources

Introduction

Understanding the TASK score is important because it provides insight into strengths and areas where improvement is needed. This information can be used to make informed decisions about how to improve.

The scores are divided into Categories and follows the matrix defined by the Sulitest Task Force.

Earth Systems —

Core Planetary Boundaries
Regulating Planetary Boundaries

Human Welfare —

Safety and Basic Needs for all
Social Welfare for people
Elements that contribute to Human Flourishing

Levers of Opportunity —

Governance
Economy and Finance
Science and Technology
Individual and Collective Action

Earth Systems and Human Welfare frameworks contain the following Categories which allow to track the type of sustainability knowledge:

Knowing and Understanding	Interlinkages
Descriptive knowledge	Causal knowledge
Contextualized knowledge	Integrated knowledge

Levers of opportunity does not contain interlinkages questions due to the fact that interlinkages are by nature present in the framework’s subject.

Results

Category score

In this example, the average is 68.1 because each matrix axes is already an average
Hence the average over the category could be .1 superior or .1 inferior to the average you might see. (as shown in the picture) — In this example, the average is 68.1 because each matrix axes is already an average Hence the average over the category could be .1 superior or .1 inferior to the average you might see. (as shown in the picture)

This reflect the average score over the Category Example for Knowing and Understanding: (61.6+69.4+73.4)/3=68.2

This is the details of the Knowing and Understanding per Framework

Overall result

This is the global average at the time of the session score calculation

This is the overall score for the candidate showing the end result for TASK™️

ℹ️

The overall score is an average of the ability scores calculated for each Matrix Item

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In the context of IRT, "ability" refers to the latent trait of a person, which can't be directly observed, but is inferred from their responses to a set of items or questions. For example, in a mathematics test, the ability would refer to the person's mathematical knowledge or skills.

A person's ability is estimated based on their pattern of responses to the items on a test. In the 2-parameter logistic (2PL) model applied each item has two parameter: difficulty and discrimination of ability. The difficulty parameter corresponds to the ability level at which a person has a 50% chance of correctly answering the item. If a person answers a hard item correctly, it suggests that they have high ability, and vice versa.

Interpreting scores in terms of ability depends on the specific IRT model being used, but generally:

High scores indicate high ability. For example, if a person answers many difficult questions correctly, their ability will be estimated as high.

Low scores indicate low ability. If a person answers many easy questions incorrectly, their ability will be estimated as low.

Mid-range scores could indicate average ability, but the specifics depend on the difficulty of the items that were answered correctly and incorrectly. Two people could have the same total score but different estimated abilities if one person answered harder items correctly and easier items incorrectly, while the other person did the opposite.