Research recognizes the power of assessment to amplify learning and skill acquisition. This overview describes and compares two types of Assessments educators rely on: Formative Assessment and Summative Assessment.
This paper is based on the simple idea that students’ educational achievement is affected by the effort put in by those participating in the education process: schools, parents, and, of course, the students themselves.
DeFraja, G., Oliveira, T., & Zanchi, L. (2010). Must try harder: Evaluating the role of effort in educational attainment. The Review of Economics and Statistics, 92(3), 577–597. Retrieved from https://art.torvergata.it/retrieve/handle/2108/55644/108602/De%20Fraja%20Zanch%20Oliveira%20REStats%202010.pdf
The Programme for International Student Assessment (PISA) is survey which aims to evaluate education systems worldwide by testing the skills and knowledge of 15-year-old students.
PISA Reports Retrieved from http://www.oecd.org/pisa/.
This book is compiled from the proceedings of the sixth summit entitled “Performance Feedback: Using Data to Improve Educator Performance.” The 2011 summit topic was selected to help answer the following question: What basic practice has the potential for the greatest impact on changing the behavior of students, teachers, and school administrative personnel?
States, J., Keyworth, R. & Detrich, R. (2013). Introduction: Proceedings from the Wing Institute’s Sixth Annual Summit on Evidence-Based Education: Performance Feedback: Using Data to Improve Educator Performance. In Education at the Crossroads: The State of Teacher Preparation (Vol. 3, pp. ix-xii). Oakland, CA: The Wing Institute.
The main focus of this study is to find different kinds of variables that might contribute to variations in the strength and direction of the relationship by examining quantitative studies that relate mathematics teachers’ subject matter knowledge to student achievement in mathematics.
Ahn, S., & Choi, J. (2004). Teachers' Subject Matter Knowledge as a Teacher Qualification: A Synthesis of the Quantitative Literature on Students' Mathematics Achievement. Online Submission.
The aim of this paper is to examine a variety of features of research that might account for mixed findings of the relationship between teachers' subject matter knowledge and student achievement based on meta-analytic technique.
Ahn, S., & Choi, J. (2004). Teachers' Subject Matter Knowledge as a Teacher Qualification: A Synthesis of the Quantitative Literature on Students' Mathematics Achievement. Online Submission.
Multilevel modeling techniques were used with a sample of 643 students enrolled in 37 secondary school classrooms to predict future student achievement (controlling for baseline achievement) from observed teacher interactions with students in the classroom, coded using the Classroom Assessment Scoring System—Secondary.
Allen, J., Gregory, A., Mikami, A., Lun, J., Hamre, B., & Pianta, R. (2013). Observations of effective teacher–student interactions in secondary school classrooms: Predicting student achievement with the classroom assessment scoring system—secondary. School Psychology Review, 42(1), 76.
The authors effectively cover the construction of psychological tests and the interpretation of test scores and scales; critically examine classical true-score theory; and explain theoretical assumptions and modern measurement models, controversies, and developments.
Allen, M. J., & Yen, W. M. (2001). Introduction to measurement theory. Waveland Press.
This report breaks out key steps in the school identification and improvement process, focusing on (1) a diagnosis of school needs; (2) a plan to improve schools; and (3) evidenced-based interventions that work.
Alliance for Excellent Education and John Hopkins School of Education. (2017). school interventions that work: targeted support for low-performing students. retrieved from https://all4ed.org/wp-content/uploads/2017/07/SchoolInterventions.pdf
The authors investigated the hypothesis that treatment acceptability influences teachers' use of a formative evaluation system (curriculum-based measurement) and, relatedly, the amount of gain effected in math for their students.
Allinder, R. M., & Oats, R. G. (1997). Effects of acceptability on teachers' implementation of curriculum-based measurement and student achievement in mathematics computation. Remedial and Special Education, 18(2), 113-120.
The goal of the proposed study was to determine whether third-grade
students’ (n = 74) transcriptional skills and gender predicted their writing fluency growth in response to a performance feedback intervention.
Alvis, A. V. (2019). Predictors of Elementary-aged Students’ Writing Fluency Growth in Response to a Performance Feedback Writing Intervention
The “Standards for Educational and Psychological Testing” were approved as APA policy by the APA Council of Representatives in August 2013.
American Educational Research Association, American Psychological Association, Joint Committee on Standards for Educational, Psychological Testing (US), & National Council on Measurement in Education. (1985). Standards for educational and psychological testing. American Educational Research Association.
In current study, through a meta-analysis of 78 studies, it is aimed to determine the overall effect size for testing at different frequency levels and to find out other study characteristics, related to the effectiveness of frequent testing.
Başol, G., & Johanson, G. (2009). Effectiveness of frequent testing over achievement: A meta analysis study. Journal of Human Sciences, 6(2), 99-121.
Feedback is an essential construct for many theories of learning and instruction, and an understanding of the conditions for effective feedback should facilitate both theoretical development and instructional practice.
Bangert-Drowns, R. L., Kulik, C. L. C., Kulik, J. A., & Morgan, M. (1991). The instructional effect of feedback in test-like events. Review of educational research, 61(2), 213-238.
Professional judgment is required whenever conditions are uncertain. This article provides an analysis of professional judgment and describes sources of error in decision making.
Barnett, D. W. (1988). Professional judgment: A critical appraisal. School Psychology Review., 17(4), 658-672.
This paper uses student-level data from a statewide community college system to examine the validity of placement tests and high school information in predicting course grades and college performance.
Belfield, C. R., & Crosta, P. M. (2012). Predicting Success in College: The Importance of Placement Tests and High School Transcripts. CCRC Working Paper No. 42. Community College Research Center, Columbia University.
This study examines the detrimental impact of principal turnover, including lower teacher retention and lower student achievement. Particularly hard hit are high poverty schools, which often lose principals at a higher rate as they transition to lower poverty, higher student achievement schools.
Beteille, T., Kalogrides, D., & Loeb, S. (2012). Stepping stones: Principal career paths and school outcomes. Social Science Research, 41(4), 904-919.
Assessing literature that uses either experimental (lottery) or student-level growth-based methods, this analysis infers the causal impact of attending a charter school on student performance.
Betts, J. R., & Tang, Y. E. (2019). The effect of charter schools on student achievement. School choice at the crossroads: Research perspectives, 67-89.
This paper is a review of the literature on classroom formative assessment.
Black, P., & Wiliam, D. (1998). Assessment and classroom learning. Assessment in education, 5(1), 7-74.
This is a review of the literature on classroom formative assessment. Several studies show firm evidence that innovations designed to strengthen the frequent feedback that students receive about their learning yield substantial learning gains.
Black, P., & Wiliam, D. (1998). Assessment and classroom learning. Assessment in Education: principles, policy & practice, 5(1), 7-74.
Firm evidence shows that formative assessment is an essential component of classroom work and that its development can raise standards of achievement, Mr. Black and Mr. Wiliam point out. Indeed, they know of no other way of raising standards for which such a strong prima facie case can be made.
Black, P., & Wiliam, D. (2010). Inside the black box: Raising standards through classroom assessment. Phi Delta Kappan, 92(1), 81-90.
This paper theorizes that variations in learning and the level of learning of students are determined by the students' learning histories and the quality of instruction they receive.
Bloom, B. (1976). Human characteristics and school learning. New York: McGraw-Hill.
In this study, the note-taking skills of middle school students with LD were compared to peers with average and high achievement. The results indicate differences in the number and type of notes recorded between students with LD and their peers and differences in test performance of lecture content.
Boyle, J. R., & Forchelli, G. A. (2014). Differences in the note-taking skills of students with high achievement, average achievement, and learning disabilities. Learning and Individual Differences, 35, 9-14.
This fourth edition provides in-depth treatments of critical measurement topics, and the chapter authors are acknowledged experts in their respective fields.
Brennan, R. L. (Ed.) (2006). Educational measurement (4th ed.). Westport, CT: Praeger Publishers.
The National Board for Professional Teaching Standards (NBPTS) assesses teaching practice based on videos and essays submitted by teachers. They compared the performance of classrooms of elementary students in Los Angeles randomly assigned to NBPTS applicants and to comparison teachers.
Cantrell, S., Fullerton, J., Kane, T. J., & Staiger, D. O. (2008). National board certification and teacher effectiveness: Evidence from a random assignment experiment (No. w14608). National Bureau of Economic Research.
This study developed a zero-to-five index of the strength of accountability in 50 states based on the use of high-stakes testing to sanction and reward schools, and analyzed whether that index is related to student gains on the NAEP mathematics test in 1996–2000.
Carnoy, M., & Loeb, S. (2002). Does external accountability affect student outcomes? A cross-state analysis. Educational Evaluation and Policy Analysis, 24(4), 305-331.
This paper discusses the search for a “magic metric” in education: an index/number that would be generally accepted as the most efficient descriptor of school’s performance in a district.
Celio, M. B. (2013). Seeking the Magic Metric: Using Evidence to Identify and Track School System Quality. In Performance Feedback: Using Data to Improve Educator Performance (Vol. 3, pp. 97-118). Oakland, CA: The Wing Institute.
This report provides a practical “management guide,” for an evidence-based key indicator data decision system for school districts and schools.
Celio, M. B., & Harvey, J. (2005). Buried Treasure: Developing A Management Guide From Mountains of School Data. Center on Reinventing Public Education.
A rationale and model for changing assessment efforts in schools from simple description to the integration of information from multiple sources for the purpose of designing interventions are described.
Christenson, S. L., & Ysseldyke, J. E. (1989). Scientific practitioner: Assessing student performance: An important change is needed. Journal of School Psychology, 27(4), 409-425.
This paper describes how teacher learning through involvement with student-performance assessments has been accomplished in the United States and around the world, particularly in countries that have been recognized for their high-performing educational systems
To produce better outcomes for students two things are necessary: (1) effective, scientifically supported interventions (2) those interventions implemented with high integrity. Typically, much greater attention has been given to identifying effective practices. This review focuses on features of high quality implementation.
Detrich, R. (2014). Treatment integrity: Fundamental to education reform. Journal of Cognitive Education and Psychology, 13(2), 258-271.
This meta-analysis reviews 63 studies on the relationship between conditions of massed practice and spaced practice with respect to task performance, which yields an overall mean weighted effect size of 0.46.
Donovan, J. J., & Radosevich, D. J. (1999). A meta-analytic review of the distribution of practice effect: Now you see it, now you don't. Journal of Applied Psychology, 84(5), 795.
Examines the fundamental characteristics of and reviews empirical research on performance assessment of diverse groups of students, including those with mild disabilities. Discussion of the technical qualities of performance assessment and barriers to its advancement leads to the conclusion that performance assessment should play a supplementary role in the evaluation of students with significant learning problems
Elliott, S. N. (1998). Performance Assessment of Students' Achievement: Research and Practice. Learning Disabilities Research and Practice, 13(4), 233-41.
Curriculum-based measurement and performance assessments can provide valuable data for making special-education eligibility decisions. Reviews applied research on these assessment approaches and discusses the practical context of treatment validation and decisions about instructional services for students with diverse academic needs.
Elliott, S. N., & Fuchs, L. S. (1997). The Utility of Curriculum-Based Measurement and Performance Assessment as Alternatives to Traditional Intelligence and Achievement Tests. School Psychology Review, 26(2), 224-33.
A disproportionate reliance on SAT scores in college admissions has generated a growing number and volume of complaints. Some applicants, especially members of underrepresented minority groups, believe that the test is culturally biased. Other critics argue that high school GPA and results on SAT subject tests are better than scores on the SAT reasoning test at predicting college success, as measured by grades in college and college graduation.
Espenshade, T. J., & Chung, C. Y. (2010). Standardized admission tests, college performance, and campus diversity. Office of Population Research, Princeton University.
This is a comprehensive literature review of the topic of Implementation examining all stages beginning with adoption and ending with sustainability.
Fixsen, D. L., Naoom, S. F., Blase, K. A., & Friedman, R. M. (2005). Implementation research: A synthesis of the literature.
This digest summarizes principles of performance assessment, which connects classroom assessment to learning. Specific ways that assessment can enhance instruction are outlined, as are criteria that assessments should meet in order to inform instructional decisions. Performance assessment is compared to behavioral assessment, mastery learning, and curriculum-based management.
Fuchs, L. S. (1995). Connecting Performance Assessment to Instruction: A Comparison of Behavioral Assessment, Mastery Learning, Curriculum-Based Measurement, and Performance Assessment. ERIC Digest E530.
In this meta-analysis of studies that utilize formative assessment the authors report an effective size of .7.
Fuchs, L. S., & Fuchs, D. (1986). Effects of Systematic Formative Evaluation: A Meta-Analysis. Exceptional Children, 53(3), 199-208.
This study examined the educational effects of repeated curriculumbased measurement and evaluation. Thirty-nine special educators, each having three to four pupils in the study, were assigned randomly to a repeated curriculum-based measurement/evaluation (experimental) treatment or a conventional special education evaluation (contrast) treatment
Fuchs, L. S., Deno, S. L., & Mirkin, P. K. (1984). The effects of frequent curriculum-based measurement and evaluation on pedagogy, student achievement, and student awareness of learning. American Educational Research Journal, 21(2), 449-460.
This article describes a research program conducted over the past 8 years to address how technology can be used to surmount these implementation difficulties. The research program focused on one variety of objective, ongoing assessments known as curriculum-based measurement, in the areas of reading, spelling, and math.
Fuchs, L. S., Fuchs, D., & Hamlett, C. L. (1993). Technological advances linking the assessment of students' academic proficiency to instructional planning. Journal of Special Education Technology, 12(1), 49-62.
30 special education teachers were assigned randomly to 3 groups: curriculum-based measurement (CBM) with expert system advice (CBM-ES), CBM with no expert system advice (CBM-NES), and control (i.e., no CBM).
Fuchs, L. S., Fuchs, D., Hamlett, C. L., & Allinder, R. M. (1991). Effects of expert system advice within curriculum-based measurement on teacher planning and student achievement in spelling. School Psychology Review.
The purpose of this study was to examine students' weekly rates of academic growth, or slopes of achievement, when Curriculum-Based Measurement (CBM) is conducted repeatedly over 1 year.
Fuchs, L. S., Fuchs, D., Hamlett, C. L., Walz, L., & Germann, G. (1993). Formative evaluation of academic progress: How much growth can we expect?. School Psychology Review, 22, 27-27.
The purpose of this study was to examine effects of classroom-basedperformance-assessment (PA)-driven instruction.
Fuchs, L. S., Fuchs, D., Karns, K., Hamlett, C. L., & Katzaroff, M. (1999). Mathematics performance assessment in the classroom: Effects on teacher planning and student problem solving. American educational research journal, 36(3), 609-646.
The purposes of this study were to examine how well 3 measures, representing 3 points on a traditional-alternative mathematics assessment continuum, interrelated and discriminated students achieving above, at, and below grade level and to explore effects of cooperative testing for the most innovative measure (performance assessment).
Fuchs, L. S., Fuchs, D., Karns, K., Hamlett, C., Katzaroff, M., & Dutka, S. (1998). Comparisons among individual and cooperative performance assessments and other measures of mathematics competence. The Elementary School Journal, 99(1), 23-51.
The purpose of this study was to assess the effects of (a) ongoing, systematic assessment of student growth (i.e., curriculum-based measurement) and (b) expert system instructional consultation on teacher planning and student achievement in the area of mathematics operations.
Fuchs, L. S., Hamlett, D. F. C. L., & Stecker, P. M. (1991). Effects of curriculum-based measurement and consultation on teacher planning and student achievement in mathematics operations. American educational research journal, 28(3), 617-641.
As a classroom teacher or administrator, how do you ensure that the information shared in a student-led conference provides a balanced picture of the student's strengths and weaknesses? The answer to this is to balance both summative and formative classroom assessment practices and information gathering about student learning.
Garrison, C., & Ehringhaus, M. (2007). Formative and summative assessments in the classroom.
High-school grades are often viewed as an unreliable criterion for college admissions, owing to differences in grading standards across high schools, while standardized tests are seen as methodologically rigorous, providing a more uniform and valid yardstick for assessing student ability and achievement. The present study challenges that conventional view. The study finds that high-school grade point average (HSGPA) is consistently the best predictor not only of freshman grades in college, the outcome indicator most often employed in predictive-validity studies, but of four-year college outcomes as well.
Geiser, S., & Santelices, M. V. (2007). Validity of High-School Grades in Predicting Student Success beyond the Freshman Year: High-School Record vs. Standardized Tests as Indicators of Four-Year College Outcomes. Research & Occasional Paper Series: CSHE. 6.07. Center for studies in higher education.
To evaluate the impact of comprehensive teacher induction relative to the usual induction support, the authors conducted a randomized experiment in a set of districts that were not already implementing comprehensive induction.
Glazerman, S., Isenberg, E., Dolfin, S., Bleeker, M., Johnson, A., Grider, M., & Jacobus, M. (2010). Impacts of Comprehensive Teacher Induction: Final Results from a Randomized Controlled Study. NCEE 2010-4027. National Center for Education Evaluation and Regional Assistance.
This study examines whether the results of standardized tests are distorted when rewards and sanctions are attached to them.
Greene, J., Winters, M., & Forster, G. (2004). Testing high-stakes tests: Can we believe the results of accountability tests?. The Teachers College Record, 106(6), 1124-1144.
This quantitative review examines 20 studies to establish an effect size of .71 for the impact of “metacognitive” instruction on reading comprehension.
Haller, E. P., Child, D. A., & Walberg, H. J. (1988). Can comprehension be taught? A quantitative synthesis of “metacognitive” studies. Educational researcher, 17(9), 5-8.
The authors analysis of special education placement rates, a frequently identified area of concern, does not show any responsiveness to the introduction of accountability systems.
Hanushek, E. A., & Raymond, M. E. (2005). Does school accountability lead to improved student performance?. Journal of Policy Analysis and Management: The Journal of the Association for Public Policy Analysis and Management, 24(2), 297-327.
The central argument of this paper is that the formative and summative purposes of assessment have become confused in practice and that as a consequence assessment fails to have a truly formative role in learning.
Harlen, W., & James, M. (1997). Assessment and learning: differences and relationships between formative and summative assessment. Assessment in Education: Principles, Policy & Practice, 4(3), 365-379.
this report aims to provide the public, along with teachers and leaders in the Great City Schools, with objective evidence about the extent of standardized testing in public schools and how these assessments are used.
Hart, R., Casserly, M., Uzzell, R., Palacios, M., Corcoran, A., & Spurgeon, L. (2015). Student Testing in America's Great City Schools: An Inventory and Preliminary Analysis. Council of the Great City Schools.
Hattie’s book is designed as a meta-meta-study that collects, compares and analyses the findings of many previous studies in education. Hattie focuses on schools in the English-speaking world but most aspects of the underlying story should be transferable to other countries and school systems as well. Visible Learning is nothing less than a synthesis of more than 50.000 studies covering more than 80 million pupils. Hattie uses the statistical measure effect size to compare the impact of many influences on students’ achievement, e.g. class size, holidays, feedback, and learning strategies.
Hattie, J. (2008). Visible learning: A synthesis of over 800 meta-analyses relating to achievement. New York, NY: Routledge.
The purpose of this article is to examine research on the effectiveness of guided notes. Results indicate that using guided notes has a positive effective on student outcomes, as this practice has been shown to improve accuracy of note taking and student test scores.
Haydon, T., Mancil, G. R., Kroeger, S. D., McLeskey, J., & Lin, W. Y. J. (2011). A review of the effectiveness of guided notes for students who struggle learning academic content. Preventing School Failure: Alternative Education for Children and Youth, 55(4), 226-231.
The purpose of this study is to compare different statistical and methodological approaches to standard setting and determining cut scores using R- CBM and performance on high-stakes tests
Hintze, J. M., & Silberglitt, B. (2005). A longitudinal examination of the diagnostic accuracy and predictive validity of R-CBM and high-stakes testing. School Psychology Review, 34(3), 372.
Some of the specific reasons for the success or failure of retention in the area of reading were examined via an in-depth study of a small number of both at-risk retained students and comparably low skilled promoted children
Juel, C., & Leavell, J. A. (1988). Retention and nonretention of at-risk readers in first grade and their subsequent reading achievement. Journal of Learning Disabilities, 21(9), 571-580.
Responsiveness to intervention (RTI) is being proposed as an alternative model for making decisions about the presence or absence of specific learning disability. The author argue that there are many questions about RTI that remain unanswered, and radical changes in proposed regulations are not warranted at this time.
Kavale, K. A. (2005). Identifying specific learning disability: Is responsiveness to intervention the answer?. Journal of Learning Disabilities, 38(6), 553-562.
The authors proposed a preliminary FI theory (FIT) and tested it with moderator analyses. The central assumption of FIT is that FIs change the locus of attention among 3 general and hierarchically organized levels of control: task learning, task motivation, and meta-tasks (including self-related) processes.
Kluger, A. N., & DeNisi, A. (1996). The effects of feedback interventions on performance: A historical review, a meta-analysis, and a preliminary feedback intervention theory. Psychological bulletin, 119(2), 254.
In undertaking this study, two goals were established: (1) to obtain a better understanding of how much time students spend taking tests; and (2) to identify the degree to which the tests are mandated by districts or states.
Lazarín, M. (2014). Testing Overload in America's Schools. Center for American Progress.
This study uses longitudinal administrative data to examine the relationship between third- grade reading level and four educational outcomes: eighth-grade reading performance, ninth-grade course performance, high school graduation, and college attendance.
Lesnick, J., Goerge, R., Smithgall, C., & Gwynne, J. (2010). Reading on grade level in third grade: How is it related to high school performance and college enrollment. Chicago: Chapin Hall at the University of Chicago, 1, 12.
This article provides a summary of measuring the fiscal impact of practices in education
Levin, H. M., & McEwan, P. J. (2002). Cost-effectiveness and educational policy. Larchmont, NY: Eye on Education.
It is argued that there is a need to rethink the criteria by which the quality of educational assessments are judged and a set of criteria that are sensitive to some of the expectations for performancebased assessments are proposed
Linn, R. L., Baker, E. L., & Dunbar, S. B. (1991). Complex, performance-based assessment: Expectations and validation criteria. Educational researcher, 20(8), 15-21.
This research synthesis examines instructional research in a functional manner to provide guidance for classroom practitioners.
Marzano, R. J. (1998). A Theory-Based Meta-Analysis of Research on Instruction.
This monograph attempts to synthesize and interpret the extant research from the last 4 decades on the impact of schooling on students' academic achievement.
Marzano, R. J. (2001). A New Era of School Reform: Going Where the Research Takes Us.
This is a study of classroom management on student engagement and achievement.
Marzano, R. J., Pickering, D., & Pollock, J. E. (2001). Classroom instruction that works: Research-based strategies for increasing student achievement. Ascd
This report offers recommendations for the implementation of standards-based reform and outlines possible consequences for policy changes. It summarizes both the vision and intentions of standards-based reform and the arguments of its critics.
McLaughlin, M. W., & Shepard, L. A. (1995). Improving Education through Standards-Based Reform. A Report by the National Academy of Education Panel on Standards-Based Education Reform. National Academy of Education, Stanford University, CERAS Building, Room 108, Stanford, CA 94305-3084..
his pioneering text provides a comprehensive and highly accessible introduction to the principles, concepts, and methods currently used in educational research. This text also helps students master skills in reading, conducting, and understanding research.
McMillan, J. H., & Schumacher, S. (1997). Research in education: A conceptual approach (4th ed.). New York, NY: Longman.
This study examined processes and techniques teachers used to ensure that their assessments were valid and reliable, noting the extent to which they engaged in these processes.
Mertler, C. A. (1999). Teachers'(Mis) Conceptions of Classroom Test Validity and Reliability.
The primary purpose of this chapter is to review the literature on teachers’ summative assessment practices to note their influence on teachers and teaching and on students and learning.
Moss, C. M. (2013). Research on classroom summative assessment. SAGE handbook of research on classroom assessment, 235-255.
To investigate the relationship between students’ achievement and various contextual factors, NAEP collects information from teachers about their background, education, and training.
National Assessment of Educational Progress (NAEP). (2011a). The nation's report card: Math grade 4 national results. Retrieved from http://nationsreportcard.gov/math_2011/ gr4_national.asp?subtab_id=Tab_3&tab_id=tab2#chart
National Assessment of Educational Progress (NAEP). (2011b). The nation's report card: Reading grade 12 national results. Retrieved from http://nationsreportcard.gov/ reading_2009/gr12_national.asp?subtab_id=Tab_3&tab_id=tab2#
This non-technical brochure provides introductory information on the development, administration, scoring, and reporting of the National Assessment of Educational Progress (NAEP). The brochure also provides information about the online resources available on the NAEP website.
National Center for Education Statistics (NCES). (2010a). An introduction to NAEP. (NCES 2010-468). Retrieved from National Center for Education Statistics website: https://nces.ed.gov/pubsearch/pubsinfo.asp?pubid=2010468
Twelfth-graders’ performance in reading and mathematics improves since 2005. Nationally representative samples of twelfth-graders from 1,670 public and private schools across the nation participated in the 2009 National Assessment of Educational Progress (NAEP).
National Center for Education Statistics (NCES). (2010b). The nation’s report card: Grade 12 reading and mathematics 2009 national and pilot state results. (NCES 2011-455). Retrieved http://nces.ed.gov/nationsreportcard/pdf/main2009/2011455.pdf
The Data Explorer for the Long-Term Trend assessments provides national mathematics and reading results dating from the 1970s.
National Center for Education Statistics (NCES). (2011a). Data explorer for long-term trend. [Data fle]. Retrieved from http://nces.ed.gov/nationsreportcard/lttdata/
Nationally representative samples of 209,000 fourth-graders and 175,200 eighth-graders participated in the 2011 National Assessment of Educational Progress (NAEP) in mathematics.
National Center for Education Statistics (NCES). (2011d). The nation’s report card: mathematics 2011. (NCES 2012-458). Retrieved from http://nces.ed.gov/nationsreportcard/ pdf/main2011/2012458.pdf
Percentages of students meeting state proficiency standards and performing at or above the NAEP Proficient level, by subject, grade, and state: 2009
National Center for Education Statistics (NCES). (2011f). Students meeting state profciency standards and performing at or above the NAEP profcient level: 2009. Retrieved from http://nces.ed.gov/nationsreportcard/studies/statemapping/2009_naep_state_table.asp
In this new national writing assessment sample, 24,100 eighth-graders and 28,100 twelfthgraders engaged with writing tasks and composed their responses on computer. The assessment tasks reflected writing situations common to both academic and workplace settings and asked students to write for several purposes and communicate to different audiences.
National Center for Education Statistics. (2012). The nation's report card: Writing 2011 (NCES 2012-470).
The National Assessment of Educational Progress (NAEP) is a national assessment of what America's students know in mathematics, reading, science, writing, the arts, civics, economics, geography, and U.S. history.
National Center for Education Statistics
No Child Left Behind Act of 2001 ESEA Reauthorization
No child left behind act of 2001. Publ. L, 107-110. (2002)
OECD (2019), PISA 2018 Results (Volume I): What Students Know and Can Do, PISA, OECD Publishing, Paris, https://doi.org/10.1787/5f07c754-en.
This report describes the reading literacy of fourth-graders in 35 countries, including the United States. The report provides information on a variety of reading topics, but with an emphasis on U.S. results. The report also presents information on reading and instruction in the classroom and explores the reading habits of fourth-graders outside of school. This report defines reading literacy for fourth-graders, highlights the performance and distribution of fourth-graders relative to fourth-graders in other countries, and illustrates, through international benchmarking, the performance of assessed students.
Ogle, L. T., Sen, A., Pahlke, E., Jocelyn, L., Kastberg, D., Roey, S., & Williams, T. (2003). International Comparisons in Fourth-Grade Reading Literacy: Findings from the Progress in International Reading Literacy Study (PIRLS) of 2001.
This volume of PISA 2009 results looks at the progress countries have made in raising student performance and improving equity in the distribution of learning opportunities.
Organisation for Economic Co-operation and Development (OECD). (2010a). PISA 2009 results: Learning trends–Changes in student performance since 2000 (Volume V). Retrieved from https://www.oecd-ilibrary.org/education/pisa-2009-results-learning-trends_9789264091580-en
Volume II of PISA's 2009 results looks at how successful education systems moderate the impact of social background and immigrant status on student and school performance.
Organisation for Economic Co-operation and Development (OECD). (2010b). PISA 2009 results: Overcoming social background–Equity in learning opportunities and outcomes (Volume II). Retrieved from http://dx.doi.org/10.1787/9789264091504-en
The OECD’s Programme for International Student Assessment (PISA) surveys, which take place every three years, have been designed to collect information about 15-year-old students in participating countries.
Organization for Economic Co-operation and Development (OECD). (2006). PISA 2006 technical report. Retrieved from http://www.oecd.org/pisa/pisaproducts/42025182.pdf
This first volume of PISA 2009 survey results provides comparable data on 15-year-olds' performance on reading, mathematics, and science across 65 countries.
Organization for Economic Co-operation and Development (OECD). (2010c). PISA 2009 results: What students know and can do–Student performance in reading, mathematics and science (Volume I). Retrieved from http://dx.doi.org/10.1787/9789264091450-en
There is increased interest in extending the test-based evaluation framework in K-12 education to achievement in high school. High school achievement is typically measured by performance on end-of-course exams (EOCs), which test course-specific standards in subjects including algebra, biology, English, geometry, and history, among others. Recent research indicates that when students take particular courses can have important consequences for achievement and subsequent outcomes. The contribution of the present study is to develop an approach for modeling EOC test performance regarding the timing of course.
Parsons, E., Koedel, C., Podgursky, M., Ehlert, M., & Xiang, P. B. (2015). Incorporating end-of-course exam timing into educational performance evaluations. Journal of Research on Educational Effectiveness, 8(1), 130-147.
Positive teacher-student interactions are a primary ingredient of quality early educational experiences that launch future school success. With CLASS, educators finally have an observational tool to assess classroom quality in pre-kindergarten through grade 3 based on teacher-student interactions rather than the physical environment or a specific curriculum
Pianta, R. C., La Paro, K. M., & Hamre, B. K. (2008). Classroom Assessment Scoring System™: Manual K-3. Baltimore, MD, US: Paul H Brookes Publishing.
This book contains necessary information to help teachers deal with the assessment concerns of classroom teachers.
Popham, W. J. (2014). Classroom assessment: What teachers need to know (7th ed.). Boston, MA: Pearson Education.
Instructional theory describes a variety of methods of instruction (different ways of facilitating human learning and development) and when to use--and not use--each of those methods. It is about how to help people learn better.
Reigeluth, C. M. (1999). The elaboration theory: Guidance for scope and sequence decisions. Instructional design theories and models: A new paradigm of instructional theory, 2, 425-453.
This text employs a pragmatic approach to the study of educational tests and measurement so that teachers will understand essential psychometric concepts and be able to apply them in the classroom.
Reynolds, C. R., Livingston, R. B., Willson, V., & Willson, V. (2010). Measurement and assessment in education. Upper Saddle River, NJ: Pearson Education.
Amrein and Berliner (2002b) compared National Assessment of Educational Progress (NAEP) results in high-stakes states against the national average for NAEP scores. In this analysis, a comparison group was formed from states that did not attach consequences to their state-wide tests.
Rosenshine, B. (2003). High-stakes testing: Another analysis. education policy analysis archives, 11, 24.
CHILDREN take one of two types of standardized test, one ''norm-referenced,'' the other ''criteria-referenced.'' Although those names have an arcane ring, most parents are familiar with how the exams differ.
Rothstein, R. (2002, May 22). Lessons: Testing reaches a fork in the road. New York Times. http://www.nytimes.com/2002/05/22/nyregion/lessons-testing-reaches-a-fork-in-the-road. html
This book looks at research and theoretical models used to define educational effectiveness with the intent on providing educators with evidence-based options for implementing school improvement initiatives that make a difference in student performance.
Scheerens, J. and Bosker, R. (1997). The Foundations of Educational Effectiveness. Oxford:Pergmon
Part of the president Bush strategy for the transformation of "American Schools" lies in an accountability system that would track progress toward the nation's education goals as well as provide the impetus for reform. Here we focus primarily on issues of accountability and student achievement.
Shavelson, R. J., Baxter, G. P., & Pine, J. (1992). Research news and comment: Performance assessments: Political rhetoric and measurement reality. Educational Researcher, 21(4), 22-27.
Scores went up in all grades and subjects this year on the Washington Assessment of Student Learning (WASL). But how much depends on how you look at them.
Shaw, L. (2004, September 2). Improvement on WASL carries asterisk. Seattle Times.
The goal of this paper is to provide a general understanding for teachers and administrators of the concepts of validity and reliability; thereby, giving them the confidence to develop their own assessments with clarity of these terms.
Shillingburg. W. (2016). Understanding validity and reliability in classroom, school-wide, or district-wide assessments to be used in teacher/principal evaluations. Retrieved from https://cms.azed.gov/home/GetDocumentFile?id=57f6d9b3aadebf0a04b2691a
A critical review of reading programs requires objective and in-depth analysis. For these reasons, the authors offer the following recommendations and procedures for analyzing critical elements of programs.
Simmons, D. C., & Kame’enui, E. J. (2003). A consumer’s guide to evaluating a core reading program grades K-3: A critical elements analysis. Retrieved December, 19, 2006.
This Campbell systematic review examines the impact of class size on academic achievement. The review summarises findings from 148 reports from 41 countries. Ten studies were included in the meta‐analysis.
Slavin, R. E., Lake, C., Inns, A., Baye, A., Dachet, D., & Haslam, J. (2019). A Quantitative Synthesis of Research on Writing Approaches in Grades 2 to 12. Best Evidence Encyclopedia.
The averaged freshman graduation rate provides an estimate of the percentage of students who receive a regular diploma within 4 years of entering ninth grade.
Snyder, T. D., & Dillow, S. A. (2012a). Averaged freshman graduation rates for public secondary schools, by state or jurisdiction: Selected years, 1990–91 through 2008–09. [Table 113]. Retrieved from http://nces.ed.gov/programs/digest/d11/tables/dt11_113.asp
Evidence-based practice is a decision-making framework. This paper describes the relationships among the three cornerstones of this framework.
Spencer, T. D., Detrich, R., & Slocum, T. A. (2012). Evidence-based Practice: A Framework for Making Effective Decisions. Education & Treatment of Children (West Virginia University Press), 35(2), 127-151.
Summative assessment is an appraisal of learning at the end of an instructional unit or at a specific point in time. It compares student knowledge or skills against standards or benchmarks. Summative assessment includes midterm exams, final project, papers, teacher-designed tests, standardized tests, and high-stakes tests.
States, J., Detrich, R. & Keyworth, R. (2018). Overview of Summative Assessment. Oakland, CA: The Wing Institute. https://www.winginstitute.org/assessment-summative
This investigation contributed to previous research by separating the effects of simply making instructional changes, not based on student performance data, from the effects of making instructional changes in accordance with CBM data.
Stecker, P. M. (1995). Effects of instructional modifications with and without curriculum-based measurement on the mathematics achievement of students with mild disabilities.
The second edition of this exceptionally lucid and practical assessment text provides a wealth of powerful concrete examples that help students to understand assessment concepts and to effectively use assessment to support learning.
Taylor, C. S., & Nolen, S. B. (2005). Classroom assessment: Supporting teaching and learning in real classrooms (2nd ed.). Upper Saddle River, NJ: Pearson Prentice Hall.
Student engagement is critical to academic success. High-Active Student Response (ASR) teaching techniques are an effective way to improve student engagement and are an important component of evidence-based practice. . This report provides techniques and strategies to enhance engagement through ASR. Key terms are appended.
Tincani, M., & Twyman, J. S. (2016). Enhancing Engagement through Active Student Response. Center on Innovations in Learning, Temple University.
This paper argues that ineffective practices in schools carry a high price for consumers and suggests that school systems consider the measurable yield in terms of gains in student achievement for their schooling effort.
VanDerHeyden, A. (2013). Are we making the differences that matter in education. In R. Detrich, R. Keyworth, & J. States (Eds.),Advances in evidence-‐based education: Vol 3(pp. 119–138). Oakland, CA: The Wing Institute. Retrieved from http://www.winginstitute.org/uploads/docs/Vol3Ch4.pdf
Keeping RTI on Track is a resource to assist educators overcome the biggest problems associated with false starts or implementation failure. Each chapter in this book calls attention to a common error, describing how to avoid the pitfalls that lead to false starts, how to determine when you're in one, and how to get back on the right track.
Vanderheyden, A. M., & Tilly, W. D. (2010). Keeping RTI on track: How to identify, repair and prevent mistakes that derail implementation. LRP Publications.
To examine a response to treatment model as a means for identifying students with reading/learning disabilities, 45 second-grade students at risk for reading problems were provided daily supplemental reading instruction and assessed after 10 weeks to determine if they met a prior criteria for exit.
Vaughn, S., Linan-Thompson, S., & Hickman, P. (2003). Response to instruction as a means of identifying students with reading/learning disabilities. Exceptional children, 69(4), 391-409.
This report describes the first of a series of researches that will attempt to characterize the performance of New Jersey's public school system.
Wainer, H. (1994). On the Academic Performance of New Jersey's Public School Children: I. Fourth and Eighth Grade Mathematics in 1992. ETS Research Report Series, 1994(1), i-17.
This literature review examines the impact of various instructional methods
Walberg H. J. (1999). Productive teaching. In H. C. Waxman & H. J. Walberg (Eds.) New directions for teaching, practice, and research (pp. 75-104). Berkeley, CA: McCutchen Publishing.
This is a meta-review and synthesis of the research on the variables related learning.
Wang, M. C., Haertel, G. D., & Walberg, H. J. (1990). What influences learning? A content analysis of review literature. The Journal of Educational Research, 30-43.
The purpose of this study was to ascertain the effects of manipulating the data base used for instructional decision making on student achievement.
Wesson, C., Skiba, R., Sevcik, B., King, R. P., & Deno, S. (1984). The effects of technically adequate instructional data on achievement. Remedial and Special Education, 5(5), 17-22.
This study evaluated the effects of performance feedback on increasing the quality of implementation of interventions by teachers in a public school setting.
Witt, J. C., Noell, G. H., LaFleur, L. H., & Mortenson, B. P. (1997). Teacher use of interventions in general education settings: Measurement and analysis of ?the independent variable. Journal of Applied Behavior Analysis, 30(4), 693.
This study compares the effect size and return on investment for rapid assessment, between, increased spending, voucher programs, charter schools, and increased accountability.
Yeh, S. S. (2007). The cost-effectiveness of five policies for improving student achievement. American Journal of Evaluation, 28(4), 416-436.
This paper conducts an analytic literature review to examine the use and operationalization of the term in multiple academic fields
York, T. T., Gibson, C., & Rankin, S. (2015). Defining and measuring academic success. Practical Assessment, Research & Evaluation, 20(5), 1–20. Retrieved from https://scholarworks.umass.edu/pare/vol20/iss1/5/