Tuesday, December 13, 2016

Don't trust Ed Trust when they talk about overoming povery


Don't trust Ed Trust. Substance 27 (6): 3. 2002.
Stephen Krashen
The powerful impact of poverty on literacy development has been well documented. Children of poverty, in addition to the obvious problems they face, have very little access to reading material ; they have fewer books in the home, inferior public libraries, inferior school libraries,and inferior classroom libraries, (e.g. Duke, 2000; Neuman and Celano, 2001). This means, of course, that they have fewer opportunities to read, and therefore make less progress in developing literacy.
The recent report from Educational Trust West (Ali and Jerald, 2001) appears, at first glance, to show that a significant number of children in poverty have overcome this problem. The report claimed to find 3,592 schools in the US that were "high- performing-high poverty" schools. In California alone, there were 355 high- performing-high poverty school. This result was considered sufficient to "dispel the myth" about the relationship between poverty and educational achievement, and was followed by newspaper articles proclaiming that these high-scoring schools can "offer a lesson" (New York Times, December 17, 2001; Los Angeles Daily News, December 16, 2001).
The Ed Trust Report deserves another look. It has serious flaws, and, in fact, shows exactly the opposite of what it says it shows.
Very few schools qualify. The number of schools classified as high-poverty high- scoring represents about 4% of the nation and state school population. Moreover, a closer look shrinks even this number to considerably. In fact, it shrinks it to nearly zero.
It is easy to qualify as high-scoring. A high-performing school was defined as one in which students in ANY grade scored in the upper third of the schools in its own state in EITHER math or reading. Thus, a good performance by one grade level (in some schools only one classroom) on one test can qualify a school as "high performing."
Consider the case of California. Of the 355 "high-scoring" schools in California, only 134 were high-scoring in reading. There are 8761 schools in California. This means that about 1.5% qualify as "high-flying schools." Of these 134, 83 managed to qualify because of children in only one grade level! This could be due to the performance of a few students in one classroom, perhaps even those from higher- income families (see below). We are now down to 51 schools, about half of one percent.
Scores can be based on students NOT considered high poverty. Ed Trust may claim that a grade in a high poverty school reached the upper 1/3, but not all the children at that grade level were high poverty. Consider the case of fourth graders at the Language Academy, a (magnet) school in San Diego. Academy fourth graders scored in the upper 1/3 of the state in reading, averaging 61. But the subset of economically disadvantaged children (n = 27) scored 42, while the advantaged children (n = 36) averaged 73. Fourth graders at Language Academy were classified as high scoring high poverty not because of the scores of its disadvantaged children but because of the scores of its advantaged children. Ed Trust does not present this kind of a breakdown of scores.
Ed Trust used a low standard for classification as "high poverty." A high- poverty school was defined as one in which at least 50% of the students were from low-income families. The California average is 46%.
The report has numerous inaccuracies. For California, several schools listed as high-poverty were not, and in many cases grade levels Ed Trust said were high scoring were not. The alternative analysis below presents details, as well as confirming that the number of "high-poverty high-scoring schools" is very very small.
An alternative analysis
If we define truly exceptional schools as those with at least three grade levels scoring in the upper one-third in reading, we are down to 20 schools in California. Let's take a closer look at the 20: In two cases, the schools did not qualify as high- poverty, even according to the very modest standard set by Ed Trust.1 For the other 18, a look at SAT9 scores shows that only four of the schools actually had all three classes in the upper one-third in reading, based on California's standards, and none qualified as a high-scoring school using national standards. Of the four that qualified in California, one was a magnet school. The high-scoring classes in the three other schools had a total of 391 children. In one, the Steinbeck school, high scorers in two grades (3 and 6) scored much lower on the language portion of the SAT9 (36 and 30).2
Poverty has a powerful effect
The Ed Trust report is actually a stunning confirmation of the overwhelming effect of poverty. Even with a very loose definition of high performance, few schools perform in the upper one-third and a careful look at one state reveals that even fewer qualify. California has about five million children in school. Ed Trust claimed that about 230,000 were in high-poverty high-scoring schools for reading. According to this analysis, the real figure is less than 400. It is extremely difficult to "defy the odds." Poverty has a powerful effect on educational attainment.
Notes
  1. The Raoul Wallenberg school reported only 41.5% and Richmond only 36.4% of their students on free or reduced price lunch. Wheatland Union had 50.5% and Pescadero had 50.8% on free and reduced lunch. These were included as "high-poverty" schools.
  2. It is a lot easier to place in the upper 1/3 in California than in the most other states; California ranks at the bottom in reading among states in the USA. State averages are really low in grade 2 (30th percentile), 9 (33rd), 10 (33rd) and 11 (37th). The fifth, sixth and eighth grade CA average is 43. All are under the national average of 50.
    Even using this lower standard, only four schools in California had three grade levels that actually scored in the upper 1/3 for reading: Borrego Springs (81 children), Bravo Magnet (about 1000 children), Steinbeck (193 children) and Kernville (117). Three out of four grades nominated by Ed Trust actually qualified at Steinbeck and Kernville. For Kernville, grades 4, 5 and 6 met the standard, but there were few disadvantaged children in grade 5.
    Ten of the 18 schools had no grade levels meeting the California standard for the upper 1/3: Costano, Cottonwood, Florence, Happy Camp High, Hayfork High, Kernville, Muir, Surprise Valley, Surprise Valley High, Van Duzen.
    In five schools, results were mixed: At Clairemont, grades 9 and 10 qualified, but grade 11 did not. For the Language Academy, grades 3 and 4 qualified, but not the subset of disadvantaged children. Grade 7 did not. For Pescadero, two of the three grades did not qualify. Grade 5 did, but not the subset of disadvantaged children. For Perry: grade 3 qualified but not grades 5 and 6. At Wheatland, grade 9 qualified, but not the subset of disadvantaged children. Grade 10 qualified but grade 11 did not.
    (California scores were calculated from mean scores (percentile ranks) provided by the State of California Department of Education website, and converting to NCE's.)
    Here are SAT9 scores for those grades in "high-poverty" schools categorized as achieving in the upper 1/3.
1) Borrego Springs; grade 9 = 60; grade 10 = 44; grade 11 = 46; only nine disadvantaged
students were tested in grade 9
2) Bravo Magnet: grade 9 = 43 (493); grade 10 = 43 (389); grade 11 = 36 (400); for disadvantaged students only, grade 9 = 44 (434); grade 10= 43 (314); grade 11 = 34 (320).
3) Clairemont; grade 9 = 43 (493); grade 43 (389) ;grade 11 = 36 (400). For disadvantaged students, grade 9 = 44 (434); grade 10 = 43 (314); grade 11 = 34 (320).
4) Costano; grade 3 = 60 (37); grade 4 = 41 (72); grade 7 = 39 (49); for disadvantaged children only, grade 3 = 63 (40); grade 4 = 39 (41); grade 7 = 30 (34). Note that this school reported more disadvantaged children tested than total children tested for grade 3.
5) Cottonwood; grade 3 = 42 (28); grade 5 = 33 (24); grade 7 = 41 (19); for disadvantaged children only, grade 3 = 23 (19); grade 5 = 43 (15); grade 7, no score reported, 10 tested.
6) Florence; grade 3 = 39 (26); grade 4 = 30 (23), grade 5 = 31 (23), grade 6 = 39 (13); for disadvantaged only, grade 3 = 33 (16); grade 4 = 79 (21); grade 5 = 33 (13); grade 6 = 61 (12). Note that the grade 4 and grade 6 scores are mathematically impossible.
7) Happy Camp High; grade 9 = 37 (24); grade 10 = 34 (33); grade 11 = 33 (19). All students were disadvantaged.
8) Hayfork High; grade 9 = 23 (43 students tested); grade 10 = 41 (36 tested); grade 11 = 43 (33 tested); for disadvantaged students only; grade 9 = 30 (23); grade 10 = 22 (23); grade 11 = 24 (32)
9) Kernville; grade 3 = 37 (28 students tested); grade 4 = 70 (31 tested); grade 5 = 73 (23); grade 6 = 63 (30 tested); for disadvantaged students only, grade 3 = 23 (13 tested); grade 4 = 66 (13 tested); grade 5 = no score given, 10 tested; grade 6 = 60 (16)
10) Language Academy (San Diego): grade 3 = 62 (34); grade 4 = 61 (63); grade 7 = 43 (21); for disadvantaged children only: grade 3 = 34 (44); grade 4 = 42 (27); grade 7 = 42 (13) 11) Muir; grade 4 = 43 (26); grade 8 = 43 (34); grade 11, not reported, only ten students tested. For disadvantaged children only, grade 4 = 37 (130; grade 8 = 41 (23); no scores reported for grade 11, only 3 children tested.
12) Pescadero: This school has 50.8% disadvantaged children. grade 3 = 20 (39 students tested); grade 4 = 37 (28 tested); grade 5 = 60 (21 tested); disadvantaged only, grade 3 = no scores given, 9 tested; grade 4 = no scores given, 3 tested; grade 5 = 12 (23 tested).
13) Perry: grade 3 = 68 (31); grade 4 = 39 (43); grade 5 = 43 (43); grade 6 = 43 (32); for disadvantage children only, grade 3 = 74 (33), grade 4 = 60 (33); grade 5 = 43 (29); grade 6 = 30 (31).
14) Steinbeck; grade 3 = 69 (34), grade 4 = 61 (60); grade 5 = 32 (30), grade 6 = 67 (63). All children were disadvantaged.
15) Surprise Valley; grade 4 = 38 (14); grade 7 = 39 (16), grade 8 = 33 (16). No scores reported for disadvantaged children. Only 9 tested in grade 4, 3 tested in grade 7, 10 tested in grade 8.
16) Surprise Valley High School; grade 9 = 37 (13); grade 10 = 30 (14), no scores reported for grade 11, only 10 students tested. No scores reported for disadvantaged students; grade 9 had 7, grade 10 had 6 and grade 11 had 2.
17) Van Duzen; grade 4 = 44 (13); grade 5 = 38 (17); grade 8 = 30 (11); no scores reported for disadvantage children. Ten tested in grades 4,5 and 3 in grade 8.
18) Wheatland Union High School; grade 9 = 44 (179); grade 10 = 40 (133); grade 11 = 42 (147); for disadvantaged children, grade 9 = 33 (61); grade 10 = 40 (32); grade 11 = 36 (36)

Acknowledgment: My thanks to Gerald Coles for numerous insights and suggestions.
References
Ali, R. and Jerald, C. 2001. Dispelling the Myth in California: Preliminary Findings from a State and Nationwide Analysis of "High-Flying" Schools. The Education Trust - West.
Neuman, S. and Celano, D. 2001. Access to print in low-income and middle- income communities. Reading Research Quarterly 36(1): 8-26.
Duke, N. 2000. For the rich it's richer: Print experiences and environments offered to children in very low- and very high-socioeconomic status first-grade classrooms.American Educational Research Journal 37(2): 441-478.
Los Angeles Daily News. 2001. No more excuses. Dec. 16, 2001
New York Times. 2001. School defies the odds and offers a lesson. Dec. 17, 2001

Saturday, December 10, 2016

The reason for “lousy” performance on international tests: Poverty.

Published in the Miami Herald, Dec. 15, 2016, as "Kids in Poverty"

Does Andres Oppenheimer want to know why "Latin America, U.S. do lousy on student math tests" (Dec. 8)? It's not because of the family culture or lack of commitment: Research consistently concludes that the real problem is poverty.

High poverty means food deprivation, lack of health care, and lack of access to reading material, all of which have to shown to have devastating effects on school performance and test scores.

Until we eliminate poverty, let's invest in food programs, school nurses, and libraries and at least protect children from some of the effects of poverty.


Stephen Krashen
Professor Emeritus
University of Southern California

Original article: http://www.miamiherald.com/news/local/news-columns-blogs/andres-oppenheimer/article119670753.html
Published letter:  http://www.miamiherald.com/opinion/letters-to-the-editor/article120972928.html

Some sources on the effect of poverty on on test performance (not included in published letter)
Payne, K. and Biddle, B. 1999. Poor school funding, child poverty, and mathematics achievement. Educational Researcher 28 (6): 4-13; Bracey, G. 2009. The Bracey Report on the Condition of Public Education. Boulder and Tempe: Education and the Public Interest Center & Education Policy Research Unit. http://epicpolicy.org/publication/Bracey-Report. Berliner, D. 2011. The Context for Interpreting PISA Results in the USA: Negativism, Chauvinism, Misunderstanding, and the Potential to Distort the Educational Systems of Nations. In Pereyra, M., Kottoff, H-G., & Cowan, R. (Eds.). PISA under examination: Changing knowledge, changing tests, and changing schools. Amsterdam: Sense Publishers. Tienken, C. 2010. Common core state standards: I wonder? Kappa Delta Phi Record 47 (1): 14-17. Carnoy, M and Rothstein, R. 2013, What Do International Tests Really Show Us about U.S. Student Performance. Washington DC: Economic Policy Institute. 2012. http://www.epi.org/). Berliner, D. 2009. Poverty and Potential:  Out-of-School Factors and School Success.  Boulder and Tempe: Education and the Public Interest Center & Education Policy Research Unit. Retrieved [date] from http://epicpolicy.org/publication/poverty-and-potential,  Krashen, S. 1997. Bridging inequity with books. Educational Leadership  55(4): 18-22.


Wednesday, December 7, 2016

How California can save $550 million a year

Sent to the Ventura County Star, Dec 7, 2016
Hat-tip: Mary Mayhew
The California High School Exit Exam (CAHEE), suspended for two years, will be re-instated in 2018. Columnist Tom Elias ("Don't dump high school exit exam," Dec. 4) wants it back. Superintendent Tom Torlakson does not. The research clearly supports Superintendent Torlakson.
A thorough review of research on the impact of high school exist exams done by researchers at the University of Texas in 2010 concluded that state exit exams do not provide short-benefits, such as increased learning, or long-term benefits, such as increased college attendance or higher employment. An earlier review done by the Center on Educational Policy in Washington DC found "no evidence that exit exams increase student learning," as measured by standardized tests/
In 2011, analyst Jo Ann Rupert Behm wrote that "…Californians easily shell-out over $550 million a year to administer, defend, tutor, and teach to the CAHSEE beginning in 7 th grade."
I am sure we can find better ways of spending this money.
Stephen Krashen
Professor Emeritus, University of Southern California

Original article: Elias, T. Don't dump high school exit exam. Ventura County Star, December 4, 2016
Reviews of research: Holme, J., Richards, M., Jimerson, J., and Cohen, R. 2010. Assessing the effects of high school exit examinations. Review of Educational Research 80 (4): 476-526; Chudowsky, N., Kober, N., Gayler, K. and Hamilton, M. 2002.  State High School Exit Exams: A Baseline Report. Washington DC: Center on Educational Policty.
$550 million: http://blogs.edweek.org/teachers/living-in-dialogue/2011/04/test_expenditures_climb_in_cal.html

Monday, December 5, 2016

"Failing" schools, poverty and libraries


S.Krashen: www. sdkrashen.com; twitter = skrashen; skrashen.blogspot.com
Presentation at Budget, Facilities and Audit Committee, Board of Education, LAUSD 
December 6, 2016

"Failing" schools, poverty, and libraries: "We are likely to find that the problems of housing and education, instead of preceding the elimination of poverty, will themselves be affected if poverty is first abolished.” (Martin Luther King, 1967) Why Dr. King was right:
1. Evidence for failure? Scores on international tests.
But: Raw scores not horrible – when poverty controlled statistically, US scores near top of the world.
Payne, K. and Biddle, B. 1999. Poor school funding, child poverty, and mathematics achievement. Educational Researcher 28 (6): 4-13;Berliner, D. 2011. The Context for Interpreting PISA Results in the USA: Negativism, Chauvinism, Misunderstanding, and the Potential to Distort the Educational Systems of Nations. In Pereyra, M., Kottoff, H-G., & Cowan, R. (Eds.). PISA under examination: Changing knowledge, changing tests, and changingschools. Amsterdam: Sense Publishers. Tienken, C. 2010. Common core state standards: I wonder? Kappa Delta Phi Record 47 (1): 14-17. Carnoy, M and Rothstein, R. 2013, What Do International Tests Really Show Us about U.S. Student Performance. Washington DC: Economic Policy Institute. 2012. http://www.epi.org/).
2. The US has a very high percentage of children living in poverty: 21%. Highest of all industrialized countries.  UNICEF Innocenti Research Centre 2012, ‘Measuring Child Poverty: New league tables of child poverty in the world’s rich countries’, Innocenti Report Card 10, UNICEF Innocenti Research Centre, Florence. Inner city (LAUSD) = 80% Finland = 4%.
- The problem is poverty. NOT: teaching, schools of ed, unions, parents, lack of national standards/tests
http://home.lausd.net/apps/news/article/344072
3. Devastating effects of poverty on school achievement (Berliner, 2009)
a. Food deprivation/nutrition

b. Lack of health care (eg school nurses in high and low poverty schools)
c. Lack of access to books (1) home; (2)  school: classroom libraries, school libraries; (3)  community: public libraries, bookstores
Beverly Hills/Watts study: (Smith, Constantino & Krashen)
Available books in the home: BH = 200; Watts = .4; Classroom libraries: BH = 400; Watts = 5 Philadelphia study (Neuman & Celano): middle-class children "deluged" with books, high poverty have difficulty getting any access

Part of the cure: libraries and librarians.

THE PIRLS Study: 4th graders in 40 countries, tested in their own language
Krashen, Lee and McQuillan (2012)
Multiple Regression Analysis: predictors of achievement PIRLS 2006 reading test
Predictor
Beta
P
SES
0.41
0.005
independent reading
0.16
0.143
library: 500 books
0.35
0.005
Instruction
-0.19
0.085
r2 = .61


Children of poverty: Library is their only source of books.
Better access to public libraries > more recreational reading
Children get many of their books for recreational reading from libraries.
Children who live in low-income neighborhoods have fewer books at home, less access to books at school, access to fewer libraries that have what they want to read.
Libraries don’t always have what children like to read; children from high-income families can find these books elsewhere but children of poverty cannot.
Impact of school librarian: Kachel and Lance, http://www.slj.com/2013/03/research/librarian-required-a-new-study-shows-that-a-full-time-school-librarian-makes-a-critical-difference-in-boosting-student-achievement/

Los Angeles: 68th in the US out of 77 cities in library quality (America's Most Literate Cities, 2014). CA captures 7 of bottom ten places.
Rankings are based on
1. Number of branch libraries per 10,000 library service population
2. Volumes held in the library per capita of library service population
3. Number of circulations per capita of library service population
4. Number of library professional staff per 10,000 library service population
5. Number of media specialists per 10,000 students service population
"These numbers were then divided by the city population in order to calculate ratios of library services and resources available to the population."
School libraries: LAUSD ratio of librarians to students: 1 to 7000; US 1 to 1000

The power of reading:  Self-selected reading > the source of our reading ability, writing ability (writing style), vocabulary, spelling, grammar).

Sustained silent reading
The Fiji Island study (RRQ, 1983): Elley & Mangubhai: gains in RC
Grade
ALM
SSR
Big Books
4
6.5
15
15
5
2.5
9
15
year 2: larger differences, readers better in writing, listening and grammar

Case histories: Elizabeth Murray (Breaking Night) & her dad's unusual habit
Multivariate studies: Beniko Mason: 1.0 = .6

Source of knowledge: literature, history, science, practical matters (Stanovich)
Simonton (1988) "omnivorous reading in childhood and adolescence correlates positively with ultimate adult success" (p. 11). 
> career path: Michael Faraday, Thomas Edison, Abraham Lincoln

ELLs: problem is academic language/poverty/access to books
Dedicated readers – never long term ELL (prediction), prepared for more "academic" reading


Tuesday, November 29, 2016

Three Options: Non-targeted input, and two kinds of targeted input


S. Krashen
March, 2017

I propose here that there are three options for targeting of grammar and vocabulary: not targeting at all, and two types of targeting.    

Nontargeted input (NT):  I argued for this option in Krashen (2013).  It rests on a corollary of the Comprehension Hypothesis: Given enough comprehensible input, all the structures and vocabulary items the acquirer is ready to acquire are present in the input, and naturally reviewed. In other words, we don't have to aim at i+1; i+1 will be there.

NT asserts that aspects of grammar will be acquired in the predictable natural order as the result of exposure to comprehensible input.

Targeted Input
With nontargeted input, unfamiliar vocabulary and unacquired grammar are made comprehensible with the help of context, linguistic and non-linguistic. There are times, however, when targeting is useful – when acquirers are or will soon be faced with tasks that require knowledge of some specific vocabulary and/or grammar that they have not yet acquired and that will not be comprehensible without special attention.

We can distinguish two kinds of targeting: The first is consistent with the "skill-building" view of language development and the second is consistent with the Comprehension Hypothesis.
Targeting 1 (T1):
1.     The goal is full mastery of the rule or vocabulary in a short time, so complete that it can be easily retrieved and used in production.
2.     The source of the items to be targeted is external, from a syllabus made by others (not the teacher).  The teacher's job when doing T1 is to find a story or activity that will provide extra exposure to and use of the target items. Thus, Targeting 1 is a way of "contextualizing" grammar or vocabulary.
3.     T1 consists of "practice" in using the target items. "Practice" generally consists of skill-building, first consciously learning the new items, and then "automatizing" them by using them in output, and getting corrected to fine-tune conscious knowledge of the rule or meaning of the word. "Automatizing" means converting explicit, or consciously learned competence into implicit, or acquired competence.  It has been argued that T1 does not result in the automatization or acquisition of language (Krashen, 1982, VanPatten, 2016). The best we can hope for with T1 is highly monitored performance.


 Targeting 2 (T2):
1. Unlike T1, the goal of T2 is comprehension of the story or activity, not full mastery of the targeted item in a short time.  It can be done in a variety of ways, e.g. via visual content (e.g. pictures), translation.
3. The source of the items to be targeted is internal; e.g. the story.
4. This kind of targeting generally results in partial acquisition, enough to understand the text. Full acquisition of the targeted item develops gradually, when the item appears in the input again and again, in other stories or activities, assuming that the targeted item is at the students' i+1.

My previous arguments (Krashen, 2013) against targeting are arguments against Targeting 1, not Targeting 2.

Note that even when a great deal of Targeting 2 is used, language acquirers will receive non-targeted comprehensible/compelling input. This is probably not the case with targeting 1.


Table 1 The contrast between targeting 1 and targeting 2

source of target

expectation

assumption


external
Internal
rapid mastery
gradual
skill-building
Compr. Hyp.
T1
x

x

X

T2

X

x

x





Sources:

Krashen, S. 1982. Principles and Pratice in Second Language Acquisition.  Available at www.sdkrashen.com.
Krashen, S. 2013. The Case for Non-Targeted, Comprehensible Input. Journal of Bilingual Education Research & Instruction 15(1): 102-110. Available at www.sdkrashen.com, "language acquisition" section.
VanPatten, B. 2016. Why explicit knowledge cannot become implicit knowledge. Foreign Language Annals doi:10.1111/flan.12226.


Sunday, November 27, 2016

Turning kindergarten into a kinder grind won’t make kids love to read.

Published in the Los Angeles Times, Dec. 3, 2016

"Catch-up kids" (Nov. 27) sends the message that high standards will lead to hard work and real achievement.  But there is no evidence that tougher standards lead to more learning, and no evidence showing that the Common Core standards are better at preparing children for college and career than other standards or than no standards.

The core of any successful literacy programs is enjoying stories and helping children develop a pleasure reading habit.  Scientific studies show that children who hear lots of stories and are read to become enthusiastic readers, and develop more than satisfactory levels of literacy. This can happen at any age.

Forcing young children to study flashcards in the car and spell words during family outings in order to "master" 100 words is turning kindergarten into kindergrind.  Children who develop a love of reading will master thousands of words, without suffering.

Stephen Krashen
Professor Emeritus
University of Southern California

Original article: “Catch-up kids” November 27, page B1, B4

Saturday, November 26, 2016

The value of reading and our neglect of libraries

PUBLISHED IN THE WALL STREET JOURNAL, DECEMBER 3, 2016, as "Reading is a form of nutrition to the mind."
The WSJ left out the sentence about President Obama.
 
“The Need to Read” agrees with a great deal of research. Studies show that fiction readers develop the capacity to empathize with others and have a greater tolerance for vagueness. Dedicated readers also develop higher levels of literacy and have more knowledge of literature, social studies, science and even practical matters.
Studies consistently show that the quality of available libraries is associated with how much reading is done. Ironically, as our knowledge of the value of reading increases, support for school and public libraries and librarians has been decreasing. Isaac Asimov’s insight is still valid: “When I read about the way in which library funds are being cut and cut, I can only think that American society has found one more way to destroy itself.”
Em. Prof. Stephen Krashen
University of Southern California
Los Angeles



Original version sent to the Wall St. Journal, November 26, 2016.

Will Schwalbe's insightful essay, "The need to read," (Nov. 25) agrees with a great deal of research: Studies show that fiction readers develop the capacity to empathize with others and have a greater tolerance for vagueness. Dedicated readers also develop higher levels of literacy and have more knowledge of literature, social studies, science and even practical matters.
In an interview in the Guardian (October 28, 2015), President Obama gave fiction the credit for his understanding that "the world is complicated and full of grays ... (and that) it's possible to connect with someone else even though they're very different from you."
Studies consistently show that library quality is associated with how much reading is done. Ironically, as our knowledge of the value of reading increases, support for school and public libraries and librarians has been decreasing.
Isaac Asimov was right in 1995 and his insight is still valid: "When I read about the way in which library funds are being cut and cut, I can only think that American society has found one more way to destroy itself."

Stephen Krashen
Professor Emeritus
University of Southern California

Original article: http://www.wsj.com/articles/the-need-to-read-1480083086

Sources

Interview with President Obama: http://www.theguardian.com/books/2015/oct/28/president-obama-says-novels-taught-him-citizen-marilynne-robinson?CMP=share_btn_tw

Fiction and literacy development: Krashen, S 2004. The Power of Reading. Heinemann and Libraries Unlimited.  Sullivan, A. & Brown, M. 2014. Vocabulary from Adolescence to Middle Age. Centre for Longitudinal Studies, University of London

Knowledge: Stanovich, K., and A. Cunningham. 1992. Studying the consequences of literacy within a literate society: the cognitive correlates of print exposure. Memory and Cognition 20(1): 51-68.
Stanovich, K. and A. Cunningham. 1993. Where does knowledge come from? Specific associations between print exposure and information acquisition. Journal of Educational Psychology, 85(2): 211-229. Stanovich, K., R. West, R., and M. Harrison. 1995. Knowledge growth and maintenance across the life span: The role of print exposure. Developmental Psychology, 31(5): 811-826. Sullivan, A. & Brown, M. (2014). Vocabulary from adolescence to middle age. London: Centre for Longitudinal Studies, University of London. West, R., and K. Stanovich. 1991. The incidental acquisition of information from reading. Psychological Science 2: 325-330. West, R., K. Stanovich, and H. Mitchell. 1993. Reading in the real world and its correlates. Reading Research QuCastano,arterly 28: 35-50.

The ability to empathize: Kidd, D. & Castano, E. (2013). Reading literary fiction improves theory of mind. Science, 342 (6156), 377-380.
Library quality: Krashen, S., Lee, S.Y. and McQuillan, J. 2012. Is the library important? Multivariate studies at the national and international level. Journal of Language and Literacy Education, 8(1): 26-36; Krashen (2004), op. cit. Studies by Keith Curry Lance and associates at http://www.lrs.org/impact.php).
Library support: Henderson, E. and Lonegran, J. 2011. Majority of states report decline in support for library services. Institute for Museum and Library Services. Kachel, D. 2015. School libraries are under attack. The New Republic, July 23.
Asimov Quote: Asimov, I. (1995) I, Asimov. Random House.