A Mathematic Logical Reasoning test is one of the best predictors of a candidate's mathematical aptitude. The test demonstrates a candidate's current capability and strengths in understanding logical applications of mathematics, evaluating arguments, and detecting false reasoning. The analysis is a great way to identify candidates who can apply mathematics, logic, and statistics to help make reliable, numerically based decisions.

We've been supporting business for over 21 years to enhance their recruitment processes. Use our advanced aptitude testing platform, FinxS to make more reliable hiring decisions, predict the performance and working style of candidates, and decrease employee turnover.

Organisations with successful hiring processes place emphasis on recruiting employees with the right ability and behavioural traits for a role. These organisations understand that robust psychometric tests help select top talent, increase employee retention and avoid high turnover.

When administered correctly, reasoning tests can significantly boost the probability of selecting the right candidate for a job.

Recruiters commonly use the Mathematic Logical Reasoning test during the employment process to predict the job performance of candidates. The test typically correlates with researching, analysis of data, resource allocation, systematic data processing, performance calculations, number crunching, measuring precision, technical scaling and analyst tasks.

Analysing data, decision making and drawing conclusions based on data sets all require an excellent understanding and affinity for numerical data. Such skills are in high demand and needed for Research Analysts, Accountants and Resource Management.

The powerful FinxS Reasoning reports allow you to visualise the percentage of questions the candidate answered correctly. Understand what their test score may mean concerning their job performance and dig deeper into the results to analyse the candidates' speed vs accuracy. Is it more consequential to hire a candidate who can make sound decisions quickly under pressure or who takes the time to understand the information accurately?

Mathematical Logical tests are easy to administer and are completed online via our cloud-based platform. Simply send candidates a link and an access code to complete the test. You will receive an automated report straight to your inbox within minutes of the test completion. Don't waste time with assessment centres, administering a multitude of tests, and analysing endless reports. Provide your candidate with one access code, they complete the relevant tests, and you receive one integrated report.

Furthermore, create a benchmark and determine how the candidate scores in comparison to your population of choice. Research shows that ability tests are the most powerful predictor of job performance and have a 0.51 correlation to determining success in the profession. To put it in context, interviews correlate 0.18, references 0.36, and years of experience only 0.18.

Are you looking to hire a candidate with a strong ability to apply mathematical concepts to aid decision making? Mathematic reasoning assessments provide valuable insights into a candidate's abilities, including the ability to:

• Use and criticise numerically based arguments
• Understand, interpret, and criticise statistical results

Analyse candidates' against a chosen comparison group. Compare results at an organisational, country, and global level to provide additional meaning to the results. Quantify the attributes of your high performing employees to hire candidates fit for the job role every time!

Mathematic Logical Reasoning measures the ability to understand logical applications of mathematics, evaluate arguments, and detect false reasoning. It is the ability to apply mathematics, logic, and statistics to help make decisions. Someone who demonstrates strong mathematic logical reasoning might ask questions such as "What method could I apply to calculate the numbers?" or "if it is true that X is more than Y, then Y must be less than X."

A candidate who scores highly has the ability to:

• Use and criticise numerically based arguments
• Understand, interpret and criticise statistical results

A low score may result in:

• Indifference in decision-making
• Acts based on incorrect conclusions