Numeracy is the ability to reason and to apply simple numerical concepts. Basic numeracy skills consist of comprehending fundamental arithmetics like addition, subtraction, multiplication, and division. For example, if one can understand simple mathematical equations such as, 2 + 2 = 4, then one would be considered possessing at least basic numeric knowledge. Substantial aspects of numeracy also include number sense, operation sense, computation, measurement, geometry, probability and statistics. A numerically literate person can manage and respond to the mathematical demands of life.
By contrast, innumeracy (the lack of numeracy) can have a negative impact. Numeracy has an influence on career decisions, and risk perception towards health decisions. For example, innumeracy distorts risk perception towards health decisions and may negatively affect economic choices. "Greater numeracy has been associated with reduced susceptibility to framing effects, less influence of nonnumerical information such as mood states, and greater sensitivity to different levels of numerical risk".
- 1 Representation of numbers
- 2 Definitions and assessment
- 3 Childhood influences
- 4 Socioeconomic status
- 5 Parenting
- 6 Home-learning environment
- 7 Age
- 8 Literacy
- 9 Employment
- 10 Innumeracy and dyscalculia
- 11 Patterns and differences
- 12 Theory
- 13 Innumeracy and risk perception in health decision-making
- 14 Evolution of Numeracy
- 15 See also
- 16 Notes
- 17 External links
Representation of numbers
Humans have evolved to mentally represent numbers in two major ways from observation (not formal math). These representations are often thought to be innate (see Numerical cognition), to be shared across human cultures, to be common to multiple species, and not to be the result of individual learning or cultural transmission. They are:
- Approximate representation of numerical magnitude, and
- Precise representation of the quantity of individual items.
Approximate representations of numerical magnitude imply that one can relatively estimate and comprehend an amount if the number is large (see Approximate number system). For example, one experiment showed children and adults arrays of many dots. After briefly observing them, both groups could accurately estimate the approximate number of dots. However, distinguishing differences between large numbers of dots proved to be more challenging.
Precise representations of distinct individuals demonstrate that people are more accurate in estimating amounts and distinguishing differences when the numbers are relatively small (see Subitizing). For example, in one experiment, an experimenter presented an infant with two piles of crackers, one with two crackers the other with three. The experimenter then covered each pile with a cup. When allowed to choose a cup, the infant always chose the cup with more crackers because the infant could distinguish the difference.
Both systems—approximate representation of magnitude and precise representation quantity of individual items—have limited power. For example, neither allows representations of fractions or negative numbers. More complex representations require education. However, achievement in school mathematics correlates with an individual's unlearned approximate number sense.
Definitions and assessment
Fundamental (or rudimentary) numeracy skills include understanding of the real number line, time, measurement, and estimation. Fundamental skills include basic skills (the ability to identify and understand numbers) and computational skills (the ability to perform simple arithmetical operations and compare numerical magnitudes).
More sophisticated numeracy skills include understanding of ratio concepts (notably fractions, proportions, percentages, and probabilities), and knowing when and how to perform multistep operations. Two categories of skills are included at the higher levels: the analytical skills (the ability to understand numerical information, such as required to interpret graphs and charts) and the statistical skills (the ability to apply higher probabilistic and statistical computation, such as conditional probabilities).
The first couple of years of childhood are considered to be a vital part of life for the development of numeracy and literacy. There are many components that play key roles in the development of numeracy at a young age, such as Socioeconomic Status (SES), parenting, Home Learning Environment (HLE), and age.
Children who are brought up in families with high SES tend to be more engaged in developmentally enhancing activities. These children are more likely to develop the necessary abilities to learn and to become more motivated to learn. More specifically, a mother's education level is considered to have an effect on the child's ability to achieve in numeracy. That is, mothers with a high level of education will tend to have children who succeed more in numeracy.
A number of studies have, moreover, proved that the education level of mother is strongly correlated with the average age of getting married. To be more precise, females who entered the marriage later, tend to have greater autonomy, chances for skills premium and level of education (i.e. numeracy). Hence, they were more likely to share this experience with children.
Parents are suggested to collaborate with their child in simple learning exercises, such as reading a book, painting, drawing, and playing with numbers. On a more expressive note, the act of using complex language, being more responsive towards the child, and establishing warm interactions are recommended to parents with the confirmation of positive numeracy outcomes. When discussing beneficial parenting behaviors, a feedback loop is formed because pleased parents are more willing to interact with their child, which in essence promotes better development in the child.
Along with parenting and SES, a strong home-learning environment increases the likelihood of the child being prepared for comprehending complex mathematical schooling. For example, if a child is influenced by many learning activities in the household, such as puzzles, coloring books, mazes, or books with picture riddles, then they will be more prepared to face school activities.
Age is accounted for when discussing the development of numeracy in children. Children under the age of 5 have the best opportunity to absorb basic numeracy skills. After the age of 7, achievement of basic numeracy skills become less influential. For example, a study was conducted to compare the reading and mathematic abilities between children, ages 5 and 7, each in three different mental capacity groups (underachieving, average, and overachieving). The differences in the amount of knowledge retained were greater between the three different groups at age 5, than between the groups at age 7. This reveals that the younger you are the greater chance you have to retain more information, like numeracy.
There seems to be a relationship between literacy and numeracy,  which can be seen in young children. Depending on the level of literacy or numeracy at a young age, one can predict the growth of literacy and/ or numeracy skills in future development. There is some evidence that humans may have an inborn sense of number. In one study for example, five-month-old infants were shown two dolls, which were then hidden with a screen. The babies saw the experimenter pull one doll from behind the screen. Without the child's knowledge, a second experimenter could remove, or add dolls, unseen behind the screen. When the screen was removed, the infants showed more surprise at an unexpected number (for example, if there were still two dolls). Some researchers have concluded that the babies were able to count, although others doubt this and claim the infants noticed surface area rather than number.
Numeracy has a huge impact on employment. In a work environment, numeracy can be a controlling factor affecting career achievements and failures. Many professions require individuals to have a well-developed sense of numeracy, for example: mathematician, physicist, accountant, actuary, Risk Analyst, financial analyst, engineer, and architect. Even outside these specialized areas, the lack of proper numeracy skills can reduce employment opportunities and promotions, resulting in unskilled manual careers, low-paying jobs, and even unemployment. For example, carpenters and interior designers need to be able to measure, use fractions, and handle budgets. Another example pertaining to numeracy influencing employment was demonstrated at the Poynter Institute. The Poynter Institute has recently included numeracy as one of the skills required by competent journalists. Max Frankel, former executive editor of the New York Times, argues that "deploying numbers skillfully is as important to communication as deploying verbs". Unfortunately, it is evident that journalists often show poor numeracy skills. In a study by the Society of Professional Journalists, 58% of job applicants interviewed by broadcast news directors lacked an adequate understanding of statistical materials.
With regards to assessing applicants for an employment position, psychometric numerical reasoning tests have been created by occupational psychologists, who are involved in the study of numeracy. These psychometric numerical reasoning tests are used to assess an applicants' ability to comprehend and apply numbers. These tests are sometimes administered with a time limit, resulting in the need for the test-taker to think quickly and concisely. Research has shown that these tests are very useful in evaluating potential applicants because they do not allow the applicants to prepare for the test, unlike interview questions. This suggests that an applicant's results are reliable and accurate.
These psychometric numerical reasoning tests first became prevalent during the 1980s, following the pioneering work of psychologists, such as P. Kline. In 1986 P. Kline's published a book entitled, "A handbook of test construction: Introduction to psychometric design", which explained that psychometric testing could provide reliable and objective results. These findings could then be used to effectively assess a candidate's abilities in numeracy. In the future, psychometric numerical reasoning tests will continue to be used in employment assessments to fairly and accurately differentiate and evaluate possible employment applicants.
Innumeracy and dyscalculia
Innumeracy is a neologism coined by an analogue with illiteracy. Innumeracy refers to a lack of ability to reason with numbers. The term innumeracy was coined by cognitive scientist Douglas Hofstadter. However, this term was popularized in 1989 by mathematician John Allen Paulos in his book entitled, Innumeracy: Mathematical Illiteracy and its Consequences.
Developmental dyscalculia refers to a persistent and specific impairment of basic numerical-arithmetical skills learning in the context of normal intelligence.
Patterns and differences
The root cause of innumeracy varies. Innumeracy has been seen in those suffering from poor education and childhood deprivation of numeracy. Innumeracy is apparent in children during the transition of numerical skills obtained before schooling and the new skills taught in the education departments because of their memory capacity to comprehend the material. Patterns of innumeracy have also been observed depending on age, gender, and race. Older adults have been associated with lower numeracy skills than younger adults. Men have been identified to have higher numeracy skills than women. Some studies seem to indicate young people of African heritage tend to have lower numeracy skills. The Trends in International Mathematics and Science Study (TIMSS) in which children at fourth-grade (average 10 to 11 years) and eighth-grade (average 14 to 15 years) from 49 countries were tested on mathematical comprehension. The assessment included tests for number, algebra (also called patterns and relationships at fourth grade), measurement, geometry, and data. The latest study, in 2003 found that children from Singapore at both grade levels had the highest performance. Countries like Hong Kong SAR, Japan, and Taiwan also shared high levels of numeracy. The lowest scores were found in countries like South Africa, Ghana, and Saudi Arabia. Another finding showed a noticeable difference between boys and girls with some exceptions. For example, girls performed significantly better in Singapore, and boys performed significantly better in the United States.
There is a theory that innumeracy is more common than illiteracy when dividing cognitive abilities into two separate categories. David C. Geary, a notable cognitive developmental and evolutionary psychologist from the University of Missouri, created the terms "biological primary abilities" and "biological secondary abilities". Biological primary abilities evolve over time and are necessary for survival. Such abilities include speaking a common language or knowledge of simple mathematics. Biological secondary abilities are attained through personal experiences and cultural customs, such as reading or high level mathematics learned through schooling. Literacy and numeracy are similar in the sense that they are both important skills used in life. However, they differ in the sorts of mental demands each makes. Literacy consists of acquiring vocabulary and grammatical sophistication, which seem to be more closely related to memorization, whereas numeracy involves manipulating concepts, such as in calculus or geometry, and builds from basic numeracy skills. This could be a potential explanation of the challenge of being numerate.
Innumeracy and risk perception in health decision-making
Health numeracy has been defined as "the degree to which individuals have the capacity to access, process, interpret, communicate, and act on numerical, quantitative, graphical, biostatistical, and probabilistic health information needed to make effective health decisions". The concept of health numeracy is a component of the concept of health literacy. Health numeracy and health literacy can be thought of as the combination of skills needed for understanding risk and making good choices in health-related behavior.
Health numeracy requires basic numeracy but also more advanced analytical and statistical skills. For instance, health numeracy also requires the ability to understand probabilities or relative frequencies in various numerical and graphical formats, and to engage in Bayesian inference, while avoiding errors sometimes associated with Bayesian reasoning (see Base rate fallacy, Conservatism (Bayesian)). Health numeracy also requires understanding terms with definitions that are specific to the medical context. For instance, although 'survival' and 'mortality' are complementary in common usage, these terms are not complementary in medicine (see five-year survival rate). Innumeracy is also a very common problem when dealing with risk perception in health-related behavior; it is associated with patients, physicians, journalists and policymakers. Those who lack or have limited health numeracy skills run the risk of making poor health-related decisions because of an inaccurate perception of information. For example, if a patient has been diagnosed with breast cancer, being innumerate may hinder her ability to comprehend her physician's recommendations or even the severity of the health concern. One study found that people tended to overestimate their chances of survival or even to choose lower quality hospitals. Innumeracy also makes it difficult or impossible for some patients to read medical graphs correctly. Some authors have distinguished graph literacy from numeracy. Indeed, many doctors exhibit innumeracy when attempting to explain a graph or statistics to a patient. Once again, a misunderstanding between a doctor and patient due to either the doctor, patient, or both being unable to comprehend numbers effectively could result in serious health consequences.
Evolution of Numeracy
In the field of economic history, numeracy is often used to assess human capital at times when there was no data on schooling or other educational measures. Using a method called age-heaping, researchers like professor Baten study the development and inequalities of numeracy over time and throughout regions. For example, Baten and Hippe find a numeracy gap between regions in West / Central Europe and the rest of Europe for the period 1790 - 1880. At the same time, their data analysis reveals that these differences as well as within country inequality decreased over time. Taking a similar approach, Baten and Fourie find overall high levels of numeracy for people in the Cape Colony (late 17th to early 19th century).
In contrast to these studies comparing numeracy over countries or regions, it is also possible to analyze numeracy within countries. For example, Baten, Crayen and Voth look at the effects of war on numeracy in England and Baten and Priwitzer find a "military bias" in today's West Hungary: people opting for a military career had - on average - better numeracy indicators (1 BCE to 3CE).
- Approximate number system
- Bayesian inference
- Health literacy
- National Numeracy Network
- Number sense
- Numerical cognition
- Numerosity adaptation effect
- Brooks, M; Pui (2010). "Are individual differences in numeracy unique from general mental ability? A closer look at a common measure of numeracy". Individual Differences Research. 4. 8: 257–265.
- Statistics Canada. "Building on our Competencies: Canadian Results of the International Adult Literacy and Skills Survey" (PDF). Statistics Canada. p. 209. Archived from the original (PDF) on 2011-09-27.
- Reyna, V. F.; Nelson, W. L.; Han, P. K.; Dieckmann, N. F. (2009). "How numeracy influences risk comprehension and medical decision making". Psychological Bulletin. 135 (6): 943–973. doi:10.1037/a0017327. PMC 2844786. PMID 19883143.
- Gerardi, K.; Goette, L.; Meier, S. (2013). "Numerical ability predicts mortgage default". Proceedings of the National Academy of Sciences. 110 (28): 11267–11271. doi:10.1073/pnas.1220568110. PMC 3710828. PMID 23798401.
- Banks, J.; O'Dea, C.; Oldfield, Z. (2010). "Cognitive Function, Numeracy and Retirement Saving Trajectories*". The Economic Journal. 120 (548): F381–F410. doi:10.1111/j.1468-0297.2010.02395.x. PMC 3249594. PMID 22228911.
- Weller, J. A.; Dieckmann, N. F.; Tusler, M.; Mertz, C. K.; Burns, W. J.; Peters, E. (2013). "Development and Testing of an Abbreviated Numeracy Scale: A Rasch Analysis Approach". Journal of Behavioral Decision Making. 26 (2): 198–212. CiteSeerX 10.1.1.678.6236. doi:10.1002/bdm.1751.
- Feigenson, L.; Dehaene, S.; Spelke, E. (2004). "Core systems of number". Trends in Cognitive Sciences. 8 (7): 307–314. doi:10.1016/j.tics.2004.05.002. PMID 15242690. "Archived copy" (PDF). Archived from the original (PDF) on 2008-05-09. Retrieved 2009-01-15.CS1 maint: Archived copy as title (link)
- Izard, V.; Sann, C.; Spelke, E. S.; Streri, A. (2009). "Newborn infants perceive abstract numbers". Proceedings of the National Academy of Sciences. 106 (25): 10382–5. doi:10.1073/pnas.0812142106. PMC 2700913. PMID 19520833. http://www.pnas.org/content/106/25/10382.full.pdf
- Dehaene, S.; Izard, V.; Spelke, E.; Pica, P. (2008). "Log or Linear? Distinct Intuitions of the Number Scale in Western and Amazonian Indigene Cultures". Science. 320 (5880): 1217–1220. doi:10.1126/science.1156540. PMC 2610411. PMID 18511690.
- Nieder, A. (2005). "Counting on neurons: The neurobiology of numerical competence". Nature Reviews Neuroscience. 6 (3): 177–190. doi:10.1038/nrn1626. PMID 15711599.
- Halberda, J.; Mazzocco, M. L. M. M.; Feigenson, L. (2008). "Individual differences in non-verbal number acuity correlate with maths achievement". Nature. 455 (7213): 665–668. doi:10.1038/nature07246. PMID 18776888.
- Schwartz, L. M.; Woloshin, S.; Black, W. C.; Welch, H. G. (1997). "The Role of Numeracy in Understanding the Benefit of Screening Mammography". Annals of Internal Medicine. 127 (11): 966–972. doi:10.7326/0003-4819-127-11-199712010-00003. PMID 9412301.
- Lipkus, I. M.; Samsa, G.; Rimer, B. K. (2001). "General Performance on a Numeracy Scale among Highly Educated Samples". Medical Decision Making. 21 (1): 37–44. doi:10.1177/0272989X0102100105. PMID 11206945.
- Cokely, E. T.; Galesic, M.; Schulz, E.; Ghazal, S.; Garcia-Retamero, R. (2012). "Measuring risk literacy: The Berlin Numeracy Test" (PDF). Judgment and Decision Making. 7 (1): 25–47.
- Schapira, M. M.; Walker, C. M.; Cappaert, K. J.; Ganschow, P. S.; Fletcher, K. E.; McGinley, E. L.; Del Pozo, S.; Schauer, C.; Tarima, S.; Jacobs, E. A. (2012). "The Numeracy Understanding in Medicine Instrument: A Measure of Health Numeracy Developed Using Item Response Theory". Medical Decision Making. 32 (6): 851–865. doi:10.1177/0272989X12447239. PMC 4162626. PMID 22635285.
- Fagerlin, A.; Zikmund-Fisher, B. J.; Ubel, P. A.; Jankovic, A.; Derry, H. A.; Smith, D. M. (2007). "Measuring Numeracy without a Math Test: Development of the Subjective Numeracy Scale". Medical Decision Making. 27 (5): 672–680. doi:10.1177/0272989X07304449. PMID 17641137.
- Ciampa, Philip J.; Osborn, Chandra Y.; Peterson, Neeraja B.; Rothman, Russell L. (2010). "Patient Numeracy, Perceptions of Provider Communication, and Colorectal Cancer Screening Utilization". Journal of Health Communication. 15 (sup3): 157–168. doi:10.1080/10810730.2010.522699. ISSN 1081-0730. PMC 3075203. PMID 21154091.
- Baten, Jörg (2017). ""Girl Power" in Eastern Europe? The human capital development of Central-Eastern and Eastern Europe in the seventeenth to nineteenth centuries and its determinants". European Review of Economic History. 21 (1): 29–63.
- Melhuish, Edward C.; Phan, Mai B.; Sylva, Kathy; Sammons, Pam; Siraj-Blatchford, Iram; Taggart, Brenda (2008). "Effects of the Home Learning Environment and Preschool Center Experience upon Literacy and Numeracy Development in Early Primary School". Journal of Social Issues. 64 (1): 95–114. doi:10.1111/j.1540-4560.2008.00550.x. ISSN 0022-4537.
- Bullock, James O. (October 1994), "Literacy in the Language of Mathematics", The American Mathematical Monthly, 101 (8): 735–743, doi:10.2307/2974528, JSTOR 2974528
- Steen, Lynn Arthur (2001), "Mathematics and Numeracy: Two Literacies, One Language", The Mathematics Educator (Journal of the Singapore Association of Mathematics Educators), 6 (1): 10–16
- Purpura, David; Hume, L; Sims, D; Lonigan, C (2011). "Early literacy and early numeracy: The value of including early literacy skills in the prediction of numeracy". Journal of Experimental Child Psychology. 110 (4): 647–658. doi:10.1016/j.jecp.2011.07.004. PMID 21831396.
- Numbers in Mind
- Brooks, M.; Pui, S. (2010). "Are individual differences in numeracy unique from general mental ability? A closer look at a common measure of numeracy". Individual Differences Research. 4. 8: 257–265.
- Ciampa, Philip J.; Osborn, Chandra Y.; Peterson, Neeraja B.; Rothman, Russell L. (2010). "Patient Numeracy, Perceptions of Provider Communication, and Colorectal Cancer Screening Utilization". Journal of Health Communication 15 (sup3): 157–168. doi:10.1080/10810730.2010.522699. ISSN 1081-0730.
- Melhuish, Edward C.; Phan, Mai B.; Sylva, Kathy; Sammons, Pam; Siraj-Blatchford, Iram; Taggart, Brenda (2008). "Effects of the Home Learning Environment and Preschool Center Experience upon Literacy and Numeracy Development in Early Primary School." Journal of Social Issues 64 (1): 95–114. doi:10.1111/j.1540-4560.2008.00550.x. ISSN 0022-4537.
- Scanlan, Chip (2004). "Why Math Matters" Poynter Online, September 8, 2004.
- Thomas Andrews (2009). Psychometric Numerical Tests & Employment Psychometric numerical reasoning tests, December 2011.
- Lefevre, Jo-Anne (2000). "Research on the development of academic skills: Introduction to the special issue on early literacy and early numeracy". Canadian Journal of Experimental Psychology. 54 (2): 57–60. doi:10.1037/h0088185. ISSN 1878-7290.
- Donelle, L.; Hoffman-Goetz, L.; Arocha, J. F. (2007). "Assessing health numeracy among community-dwelling older adults". Journal of Health Communication. 7. 12 (7): 651–665. doi:10.1080/10810730701619919. PMID 17934942.
- Golbeck, AL; Ahlers-Schmidt, CR; Paschal, AM; Dismuke, SE (2005). "A definition and operational framework for health numeracy". American Journal of Preventive Medicine. 29 (4): 375–376. doi:10.1016/j.amepre.2005.06.012. PMID 16242604.
- Welch, H. G.; Schwartz, L. M.; Woloshin, S. (2000). "Are Increasing 5-Year Survival Rates Evidence of Success Against Cancer?". JAMA. 283 (22): 2975–2978. doi:10.1001/jama.283.22.2975. PMID 10865276.
- Gigerenzer, G.; Gaissmaier, W.; Kurz-Milcke, E.; Schwartz, L. M.; Woloshin, S. (2007). "Helping Doctors and Patients Make Sense of Health Statistics". Psychological Science in the Public Interest. 8 (2): 53–96. doi:10.1111/j.1539-6053.2008.00033.x. PMID 26161749.
- Hess, R.; Visschers, V. H. M.; Siegrist, M.; Keller, C. (2011). "How do people perceive graphical risk communication? The role of subjective numeracy". Journal of Risk Research. 14: 47–61. doi:10.1080/13669877.2010.488745.
- Galesic, M.; Garcia-Retamero, R. (2010). "Graph Literacy: A Cross-Cultural Comparison". Medical Decision Making. 31 (3): 444–457. doi:10.1177/0272989X10373805. PMID 20671213.
- Ancker, J. S.; Senathirajah, Y.; Kukafka, R.; Starren, J. B. (2006). "Design Features of Graphs in Health Risk Communication: A Systematic Review". Journal of the American Medical Informatics Association. 13 (6): 608–618. doi:10.1197/jamia.M2115. PMC 1656964. PMID 16929039.
- Garcia-Retamero, R.; Okan, Y.; Cokely, E. T. (2012). "Using Visual Aids to Improve Communication of Risks about Health: A Review". The Scientific World Journal. 2012: 1–10. doi:10.1100/2012/562637. PMC 3354448. PMID 22629146.
- Hoffrage, U.; Lindsey, S.; Hertwig, R.; Gigerenzer, G. (2000). "MEDICINE: Communicating Statistical Information". Science. 290 (5500): 2261–2262. doi:10.1126/science.290.5500.2261. PMID 11188724.
- Galesic, M.; Garcia-Retamero, R.; Gigerenzer, G. (2009). "Using icon arrays to communicate medical risks: Overcoming low numeracy". Health Psychology. 28 (2): 210–216. doi:10.1037/a0014474. PMID 19290713.
- Baten, Jörg; Hippe, Ralph (2012). "The early regional development of human capital in Europe, 1790–1880". Scandinavian Economic History Review. 60 (3): 254–289. doi:10.1080/03585522.2012.727763.
- Baten, Jörg; Fourie, Johan (2015). "Numeracy of Africans, Asians, and Europeans during the early modern period: new evidence from Cape Colony court registers". The Economic History Review. 68 (2): 632–656. doi:10.1111/1468-0289.12064.
- Baten, Jörg; Crayen, Dorothee; Voth, Hans-Joachim (2014). "Numeracy and the impact of high food prices in industrializing Britain, 1780–1850". Review of Economics and Statistics. 96 (3): 418–430. doi:10.1162/REST_a_00403.
- Baten, Jörg; Priwitzer, Stefan (2015). "Social and intertemporal differences of basic numeracy in Pannonia (first century BCE to third century CE)". Scandinavian Economic History Review. 63 (2): 110–134. doi:10.1080/03585522.2015.1032339.