Luxembourg had the highest disparity between advantaged and disadvantaged students when it came to educational attainment in 2018, with students from better economic backgrounds achieving on average 122 points more than poorer students.

An anonymised data set of pre/post test results of a paired reading/peer tutoring trial in the north east of England.

Graph and download economic data for High School Graduate or Higher (5-year estimate) in Berks County, PA (HC01ESTVC1642011) from 2010 to 2023 about Berks County, PA; Reading; secondary schooling; secondary; educational attainment; PA; education; 5-year; and USA.

Abstract

The PIRLS 2011 aimed to generate a database of student achievement data in addition to information on student, parent, teacher, and school background data for the 57 areas that participated

Geographic coverage

In 2011, nationally representative samples of students in 49 countries participated in PIRLS and prePIRLS. Forty-five countries assessed fourth grade students, and some countries participated in one or more of the other available options initiated in 2011 to permit wider participation at the end of the primary school cycle: four countries assessed their sixth-grade students; and three countries participated in prePIRLS, a less difficult version of PIRLS inaugurated in 2011 to be a stepping stone to PIRLS. In addition, PIRLS 2011 included nine benchmarking participants, mostly regions of countries that also participated in PIRLS, including three Canadian provinces, two Emirates, the Andalusian region of Spain, and the US state of Florida. Malta and South Africa used benchmarking to collect information relevant to their language of instruction policies.

Analysis unit

Units of analysis in the study are schools, students, parents and teachers

Universe

PIRLS is a study of student achievement in reading comprehension in primary school and is targeted at the grade level in which students are at the transition from learning to read to reading to learn, which is the fourth grade in most countries. The formal definition of the PIRLS target population makes use of UNESCO's International Standard Classification of Education (ISCED) in identifying the appropriate target grade:

"…all students enrolled in the grade that represents four years of schooling, counting from the first year of ISCED Level 1, providing the mean age at the time of testing is at least 9.5 years. For most countries, the target grade should be the fourth grade, or its national equivalent."

As a new initiative in 2011, prePIRLS was developed as a less difficult version of PIRLS to provide more assessment options for developing countries where students may not be prepared for the demands of PIRLS. prePIRLS is based on the same view of reading comprehension as PIRLS but is designed to assess basic reading skills that are a prerequisite for success on PIRLS. Botswana, Colombia, and South Africa administered prePIRLS to their fourth grade students. Colombia also administered PIRLS to the same fourth grade students, providing the basis for a link between the PIRLS and prePIRLS scales.

Kind of data

Sample survey data [ssd]

Sampling procedure

The basic sample design used in PIRLS 2011 was a two-stage stratified cluster design, with the first stage consisting of a sample of schools, and the second stage consisting of a sample of intact classrooms from the target grade in the sampled schools. Intact classes of students are sampled rather than individuals from across the grade level or of a certain age because PIRLS pays particular attention to students’ curricular and instructional experiences.

Each country participating in PIRLS 2011 needed a plan for defining its national target population and applying the TIMSS and PIRLS sampling methods to achieve a nationally representative sample of schools and students. The development and implementation of the national sampling plan is a collaborative exercise involving the country’s National Research Coordinator (NRC) and the PIRLS sampling experts.

Mode of data collection

Face-to-face [f2f]

Research instrument

• PIRLS Background Questionnaires By gathering information about children’s experiences together with reading achievement on the PIRLS test, it is possible to identify the factors or combinations of factors that relate to high reading literacy. An important part of the PIRLS design is a set of questionnaires targeting factors related to reading literacy. PIRLS administered four questionnaires: to the tested students, to their parents, to their reading teachers, and to their school principals.

• Student Questionnaire Each student taking the PIRLS reading assessment completes the student questionnaire. The questionnaire asks about aspects of students’ home and school experiences – including instructional experiences and reading for homework, selfperceptions and attitudes towards reading, out-of-school reading habits, computer use, home literacy resources, and basic demographic information.

• Learning to Read (Home) Survey The learning to read survey is completed by the parents or primary caregivers of each student taking the PIRLS reading assessment. It addresses child-parent literacy interactions, home literacy resources, parents’ reading habits and attitudes, homeschool connections, and basic demographic and socioeconomic indicators.

• Teacher Questionnaire The reading teacher of each fourth-grade class sampled for PIRLS completes a questionnaire designed to gather information about classroom contexts for developing reading literacy. This questionnaire asks teachers about characteristics of the class tested (such as size, reading levels of the students, and the language abilities of the students). It also asks about instructional time, materials and activities for teaching reading and promoting the development of their students’ reading literacy, and the grouping of students for reading instruction. Questions about classroom resources, assessment practices, and home-school connections also are included. The questionnaire also asks teachers for their views on opportunities for professional development and collaboration with other teachers, and for information about their education and training.

• School Questionnaire The principal of each school sampled for PIRLS responds to the school questionnaire. It asks school principals about enrollment and school characteristics (such as where the school is located, resources available in the surrounding area, and indicators of the socioeconomic background of the student body), characteristics of reading education in the school, instructional time, school resources (such as the availability of instructional materials and staff), home-school connections, and the school climate.

Response rate

For a full table of school participation rates, which vary by country, please see Appendix C on page 262 of the PIRLS 2011 Report.

Persons reading newspapers in the last 12 months by educational attainment level

Persons reading books in the last 12 months by sex and educational attainment level

Persons reading books in the last 12 months by sex, age, educational attainment and number of books

ABSTRACT Purpose: the study aims to obtain preliminary normative data for early reading and writing skills of 5-year-old children in a sample from the Northeast of Brazil. It also aims to investigate the effects of the type of school (public vs. private) and the time of assessment (beginning vs. end of the school year), and whether there were significant differences in performance, as compared to those of children from the Southeast of Brazil. Methods: 389 5-year-old children from 17 private and 12 public schools were assessed in the beginning and at the end of the school year, by using the Reading and Writing Test. Each student was individually assessed in the two times of the year. Appropriate statistical tests were applied, adopting a significance level lower than 0.05. Results: the progress in the performance of private school children was stronger than that of their peers from public schools, accentuating the existing learning gap. The comparison with normative data from the Southeast revealed that the public schools in the Northeast outperformed those in all topics of comparison. Private schools in the Southeast had a better performance at the beginning of the year, but were outperformed by those of the Northeast at the end of the year. Conclusion: the differences in performance identified in the samples suggest the need for specific norms by geographical regions of Brazil, and by type of school (public or private). The data presented in this study are preliminary and can be enlarged in future studies.

Persons not reading books in the last 12 months by sex, age, educational attainment and reasons

This dataset tracks annual reading and language arts proficiency from 2011 to 2022 for Achievement House Charter School vs. Pennsylvania and Achievement House Charter School District

This dataset tracks annual reading and language arts proficiency from 2016 to 2022 for Achievement First Rhode Island School District vs. Rhode Island

An increasing number of studies have shown that there are resilient students (i.e., students that overcome adversities related with their low Socio-Economic Status (SES) by attaining high academic achievement) around the world. The existence of resilient students has increased interest in understanding the factors that explain the capacity of students from low SES background to attain high academic achievement (i.e., academic resilience). However, upon reviewing this literature, I observed that few studies have comparatively investigated the associations between academic resilience in reading and school climate characteristics such as, teaching practices, school discipline, teacher support, and educational resources. Additionally, I found that not many studies have researched whether student SES moderates the associations between high achievement in reading and these school climate characteristics. This paper contributes to fill these two gaps by estimating associations between high achievement in reading and the aforementioned school climate characteristics. Moreover, it examines whether student SES moderates these associations. To fill these two gaps, this research used logit models and heterogeneous choice models using representative samples of students from Argentina, Brazil, Chile, Colombia, and Uruguay who participated in the Programme for International Student Assessment (PISA) of 2018. The results show that high achievement in reading is positively associated with certain teaching practices such as adapting instruction to students’ needs and perceived teacher enthusiasm during the instruction. Conversely, it is negatively associated with teacher feedback and teacher directed instruction. Furthermore, the findings indicate that high achievement in reading is negatively associated with the scarcity and low quality of educational material. Interestingly, the results show that student SES does not moderate these associations. In conclusion, these findings indicate that interventions targeting these areas of school climate may help to increase students’ probability to attain high achievement in reading, regardless of their SES. Likewise, these results suggest that if these interventions are focused in low SES schools, they may contribute to bridge the gap in reading skills between students from low and middle-high socioeconomic backgrounds.

Persons not reading books in the last 12 months by sex, age, educational attainment and reasons

This study examined the role of science domain knowledge, reading motivation, and decoding skills in reading comprehension achievement in third-grade students who are English learners (ELs) and students who are monolingual, using a nationally representative data set. Multigroup probit regression analyses showed that third-grade science domain knowledge and motivation for reading, decoding skills, and early attainment of decoding skills were significantly associated with third-grade reading comprehension in both language groups. Also, using Wald chi-square tests, the study showed that the association between third-grade science domain knowledge and reading comprehension was stronger in students who were ELs than in students who were monolingual. These findings suggest that cultivating science domain knowledge is very important to supporting reading comprehension development in third grade, particularly for students who are ELs.

Vocabulary knowledge is crucial for accessing the school curriculum and for performance on school assessments. It is also strongly influenced by a child’s exposure to language in the home and disadvantages in knowledge are apparent at school-entry. Vocabulary knowledge has a lasting influence on academic achievement that persists into secondary school and disadvantages are only partially ameliorated by teacher-directed instruction. Reading ability is also crucial for academic achievement, but contrasts with vocabulary as a skill in which initial disadvantages tend to fade over time. We followed primary-aged pupils from the Aston Literacy Project (a large longitudinal study of reading from school-entry to late-primary) during the critical but under-researched transition to secondary school. This data set includes information on children’s vocabulary, word reading and reading comprehension at the and of primary school and the beginning of secondary school. The data were used to examine reading and vocabulary development across the primary-secondary school transition.

National and international tests have yielded low reading comprehension results for education in Panama, although there is limited information regarding literacy development and performance. There are wide gaps in social inequality, access to technology, and public versus private school achievement. Considering this, after a year off from regular face-to-face classes and a partial transition to online education due to the COVID-19 pandemic, the present study utilizes existing data to carry out a pre-post comparison of the reading performance of fourth (n = 167) and sixth (n = 164) grade students in the province of Panama employing a subsample stratified by educational system for comparability (Mann–Whitney U test, α = 0.05). The pre-post comparison was also carried out independently in both the public (n = 235) and private (n = 106) systems, as well as an additional comparison of the average weekly hours of online academic engagement in both systems during the pandemic in fourth (n = 117) and sixth grade (n = 109). The results support a significant decrease in reading performance. Based on the comparative analysis, findings indicate that public school students interacted online with their teachers significantly less than their private schools’ counterparts; and that, in the same sample, only the public-school students exhibited a significant decrease in reading speed by phonological and lexical route with a medium effect size compared to pre-pandemic standards, greater than those reported in other contexts. This highlights the need to develop effective strategies to narrow the existing educational gaps in the country, which seem to have widened due to the pandemic, with particular emphasis on reading performance in primary school.

Literacy Attainment Data and Discourse is an ESRC Fellowship which will collect literacy attainment data from three contrasting historical periods and explore variations in their contemporary analysis. The three time-periods reflect different points in the emergence of the education system and its organisation: in the 1860-90s when attainment data were collected to facilitate state funding for elementary education; in the 1950s, when the 11-plus exam data were used to ensure transition into 'appropriate' forms of secondary schooling. And PISA data, analysed by the OECD, to help drive school system reform. To understand these data in context further documentary evidence will be sought on how and why the data have arisen in this form; the underlying hypotheses which shape their structure and analysis; and the broader policy debates in which the data are situated and to which their statistical analysis contributes.This historical and comparative analysis will be used to throw light on contemporary issues in literacy policy, with particular reference to gender and literacy attainment.These three datasets will also be used to explore the ebb and flux of different explanatory theories and predictions which underpin quantitative model building and help shape both data use and design.