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Boise State University
Boise State University
ScholarWorks
ScholarWorks
Early and Special Education Faculty
Publications and Presentations
Department of Early and Special Education
1-5-2022
A Systematic Review of Research Syntheses for Students with
A Systematic Review of Research Syntheses for Students with
Mathematics Learning Disabilities and Difficulties
Mathematics Learning Disabilities and Difficulties
Gena Nelson
Boise State University
Angela Crawford
Boise State University
Jessica Hunt
North Carolina State University
Publication Information
Publication Information
Nelson, Gena; Crawford, Angela; and Hunt, Jessica. (2022). "A Systematic Review of Research Syntheses
for Students with Mathematics Learning Disabilities and Difficulties". Early and Special Education Faculty
Publications and Presentations, article no. 143, pp. 1-21. https://doi.org/10.18122/sped.143.boisestate
Š 2022, Nelson, Crawford, and Hunt.
Nelson, Crawford & Hunt (2022) Copyright
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A Systematic Review of Research Syntheses for Students with Mathematics Learning
Disabilities and Difficulties
Abstract
The purpose of this document is to provide readers with the coding protocol that authors used to
code 36 research syntheses (including meta-analyses, evidence-based reviews, and quantitative
systematic reviews) focused on mathematics interventions for students with learning disabilities
(LD), mathematics learning disabilities (MLD), and mathematics difficulties (MD). The purpose
of the systematic review of mathematics intervention syntheses was to identify patterns and gaps
in content areas, instructional strategies, effect sizes, and definitions of LD, MLD, and MD. We
searched the literature for research syntheses published between 2000 and 2020 and used
rigorous inclusion criteria in our literature review process. We evaluated 36 syntheses that
included 836 studies with 32,495 participants. We coded each synthesis for variables across
seven categories including: publication codes (authors, year, journal), inclusion and exclusion
criteria, content area focus, instructional strategy focus, sample size, methodological
information, and results. The mean interrater reliability across all codes using this coding
protocol was 90.3%. Although each synthesis stated a focus on LD, MLD, or MD, very few
students with LD or MLD were included, and authors’ operational definitions of disability and
risk varied. Syntheses predominantly focused on word problem solving, fractions, computer-
assisted learning, and schema-based instruction. Syntheses reported wide variation in
effectiveness, content areas, and instructional strategies. Finally, our results indicate the majority
of syntheses report achievement outcomes, but very few syntheses report on other outcomes
(e.g., social validity, strategy use). We discuss how the results of this comprehensive review can
guide researchers in expanding the knowledge base on mathematics interventions.
The systematic review that results from this coding process is accepted for publication and in
press at Learning Disabilities Research and Practice.
Keywords: meta-analysis, mathematics, intervention, learning disability, coding protocol
Nelson, Crawford & Hunt (2022) Copyright
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Math Intervention Research Synthesis Coding Rubric
Please keep in mind that for coding purposes in this study, we use the following:
• MD (risk) = mathematics difficulty; low achievement in math; learning difficulty in math; risk in math
• MLD (disability) = mathematics learning disability; math disability; dyscalculia; LD with IEP goal in math
Some of the codes that required copy/paste were used for descriptive information or were recoded for qualitative themes.
This coding protocol includes variables in the following categories:
• Publication codes (p. 2)
• Inclusion and exclusion criteria (p. 2)
• Content area, stated focus of the synthesis (p. 5)
• Instructional strategies, stated focus of the synthesis (p. 8)
• Student participant demographics including Md and MLD identification (p. 11)
• Methodological information and results (p. 13)
• Instructional strategy, other results (p. 17)
• How effectiveness was measured and reported (p. 20)
Publication Codes
Cell Variable Code Explanation
A Authors Name List all authors’ last names
B Year Number Record year of publication
C Journal Name Record journal; Use full name, do not use acronyms
PURPOSE AND FOCUS OF THE SYNTHESIS
Inclusion and Exclusion Criteria
Note: These codes are related to the author’s purpose of the synthesis and inclusion and exclusion criteria, not on the specific
results or description of included studies in the meta-analysis.
Variable Code Explanation
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Grade/Age Copy/Paste Information or
NA
Copy and paste inclusion and exclusion criteria related to the age or
grade of participants. If authors did not state inclusion or exclusion
criteria related to age or grade, write N/A.
Outcome Measure Copy/Paste Information or
NA
Copy and paste inclusion and exclusion criteria related outcome
measure requirements. If authors did not state inclusion or exclusion
criteria related to outcome measures, write N/A.
Participant Disability
or Risk as Specified in
Method
Copy and Paste Information Copy and paste the specific requirement that authors state related to
including studies. Copy and paste information such as “studies were
required to include at least one student with LD” or “Studies were
required to include participants who performed below the 25th
percentile on a standardized measure of achievement.” Or
Participant LD/MLD
Criteria
Select all that apply related
to disability requirement:
0 = Not Applicable
1 = percentile cutoff
2 = IDEA, school, district, or
state criteria
3 = documented
4 = IEP goal
5 = Services in special
education setting
6 = Other
7 = Not described
Separate responses using a
semi-colon (e.g., “1; 3; 4”)
These codes specifically refer to how authors identified or described
their definition of learning disabilities or mathematics learning
disabilities. Codes defined as:
● Not applicable = The authors did not include participants with
LD/MLD (disability) in their synthesis, they only included
Math Difficulty.
● Percentile = authors used a percentile to state students had
LD/MLD, such as performing below the 10th percentile on a
measure of math achievement.
● IDEA, School, district, or state criteria = Authors stated that
participants had LD/MLD according to a set of criteria
● Documented = Authors stated that the participants had a
documented LD/MLD (e.g., “students with documented MLD
were included.”)
● IEP = Authors stated that the participants that had IEPs goals in
math
● Special education = Authors stated that students received
special education services in mathematics
● Other = Authors used other criteria and specified what criteria
were (e.g., a statement that they used the criteria identified in
the original study, “The study included a subset of participants
as have a learning disability.” Not described = Authors stated
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that students with LD/MLD were a focus of their study, but the
authors did not provide the criteria they used (authors of the
synthesis may also state something like, “students were
identified with MLD with methods as described by the author”
although, the specific criteria are still not described).
Participant LD/MLD
Criteria: PERCENTILE
Number or N/A If the synthesis identified participants with MLD using a percentile
cutoff (code of 1 above), provide the percentile (use pc. and < or <=)
Examples:
• <35 pc
• <=25 pc
• 11 to 25 pc
Participant LD/MLD
Criteria: OTHER
NA or Anecdotal (fill out
anecdotal only if you marked
code of “6” above)
If the synthesis identified participants with MLD using a “other”
criteria, copy and paste the criteria here.
Participant Math
Difficulty (MD) or
Risk Criteria
Select all that apply:
0 = Not applicable
1 = percentile cut off on a
screening test or measure
2 = teacher or parent referral
or identification
3 = state test scores/
benchmark
4 = Receiving Intervention
5 = Other
These codes specifically refer to how authors identified or described
their definition of DIFFICULTY or RISK. Codes defined as:
• Not applicable = The authors did not include participants with
MD (risk) in their synthesis, they only included disability.
● Percentile = authors used a percentile to state students had MD,
such as performing below the 25th percentile on a measure of
achievement.
● Referral = parents or teachers referred students for MD
● State test = Authors stated that participants had MD according
to a score on a state test
6 = Not Described
Separate responses using a
semi-colon (e.g., “1; 3; 4”)
● Receiving Intervention = Authors stated that students were
included as MD due to receiving targeted services, intervention,
Tier 2, 3, etc.
● Other = Authors used other criteria and specified what criteria
were (e.g., a statement that the authors used the criteria
identified in the original study such as “We included any study
where authors specified that students had MD.”)
● Not described = Authors stated that students with MD were a
focus of their study, but the authors did not provide difficulty
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criteria they used (authors of the synthesis may also state that
students were identified with MD with methods ‘as described
by the author’ although, the specific criteria are still not
described).
Participant Math
Difficulty Criteria:
PERCENTILE
Number or NA Code defined:
If the synthesis identified participants with MD using a percentile
cutoff (code of 1 above), provide the percentile (use pc. and < or <=)
Examples:
• <35 pc
• <=25 pc
• 11 to 25 pc
Participant Math
Difficulty Criteria:
OTHER
NA or Anecdotal (fill out only
if you marked code of “5”)
If the synthesis identified participants with MD using an “other”
criteria, copy and paste the criteria here.
Content Area Focus: As the Stated Purpose of the Synthesis
Note: These codes are related to the author’s purpose of the synthesis and inclusion and exclusion criteria, not on the specific
results or description of included studies in the meta-analysis.
Variable Code Explanation
Content Area as Copy and Paste Information Copy and paste information from the purpose or inclusion and exclusion
Specified in Purpose criteria about the focus of the synthesis (perhaps this would be in the title
as well). This will help you determine which content areas to select “yes”
for below.
Broad Math Two Codes, See Below Some meta-analysis or reviews might simply state that they focused on
“math interventions” without any follow up information, this is an
example of when this code would be “yes” Or, some studies might say
that they focused on Number and Operations skills (which encompass
many different mathematics skills), this would also be a code a “yes”
Early Numeracy Two Codes, See Below This includes number sense, place value, counting, number
identification, subitizing, decomposing and composing, early math, etc.
Basic Facts, Two Codes, See Below This includes interventions focused on operations: basic facts,
Computation computation, number combinations (including addition, subtraction,
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multiplication, division) and may include a focus on complex
computation (algorithms) or basic fact retrieval.
Fractions Two Codes, See Below This includes interventions that focus on conceptual and procedural
fraction knowledge and includes topics like part-whole fractions,
measurement interpretation of fractions (fractions and number lines),
equivalent fractions, operations with fractions, etc.
Decimals Two Codes, See Below This includes interventions that focus on conceptual and procedural
decimal knowledge. Topics can include place value, magnitude
comparison, and computation.
Percents Two Codes, See Below This includes interventions that focus on conceptual and procedural
percent knowledge.
Word Problem
Solving
Two Codes, See Below This involves instruction that focuses on problems with a few sentences
describing a “real-life” situation which are translated into a mathematical
calculation. Interventions focused on word problems for computation or
proportions would be coded only as word problem solving. Word
problems could include computation with whole numbers, fractions,
decimals, ratios, etc.
Problem Solving Two Codes, See Below Problem solving involves using logic or reasoning to solve a task or a set
of related tasks for which there is no immediately apparent solution.
Interventions that focus on computations or word problem solving are
not included in problem solving.
Geometry &
Measurement
Two Codes, See Below Geometry: These interventions may focus on spatial reasoning, shapes,
and transformations. At higher grade levels, this may also incorporate
argumentation and proof. Measurement: these interventions focus on
things like linear measurement, area, perimeter, angle measures, and
trigonometry.
Algebra Two Codes, See Below This will include topics such as variables, integers, equations and
inequalities, functions, and graphing on a Cartesian plane (x, y
coordinates).
Rate, Ratio,
Proportional
Reasoning
Two Codes, See Below These interventions focus on topics that involve composite units,
multiplicative comparisons, and covariation. Topics may include unit
rates, scale factors, and missing value proportions.
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Data Two Codes, See Below These interventions would focus on the collection and presentation of
Analysis/Probability data (e.g., graphing), central tendency (e.g., mean, median, mode) and
variability (e.g., MAD, SD, range), and likelihood of outcomes.
For each content area, you will code the following two codes:
Variable Code Explanation
Content area is Select one:
0 = No, not identified
1 = yes, identified
Note, if you mark a 0 in this
column, it’s automatically an
NA in the next column, for the
next code.
Note: do not consider the abstract for this code as often the abstract
reports results, and this code is about the intent of the study.
• No = The content area (e.g., early numeracy) was not identified
by authors in the title, Introduction, or Method section as a focus
of the synthesis, however, the results presented may have
included information about the effects of the content area. In
other words, authors may not have been clear about the content
area focus of the intervention, or they presented results in
different content areas ad hoc, or as an afterthought.
• Yes = the synthesis focused on a content area and the authors
were clear about the focus somewhere in the title, Introduction, or
Methods section. For example, “The interventions in this meta-
analysis were required to focus on ratio and unit rate concepts.”
Or the title of the synthesis clearly states “Synthesis of problem
solving interventions” or it is clearly detailed in the literature
review, research questions or purpose, inclusion criteria, etc.
identified or listed
in title,
Introduction, or
Method as a focus
of the synthesis.
Content area is
defined.
Select one:
NA = not applicable (select
this option if you selected “0”
for the previous code)
0 = No, not defined
1 = yes, defined
This code refers to whether or not the author or article provided how the
research team envisioned or defined the content area in relation to their
own synthesis. The article does not have to read, “we define
ratio/problem solving/early numeracy/etc. as…” but there does need to
be text provided for the reader to understand how the research team
defined the content area.
• Not applicable = the synthesis did not address this content area.
(select this option if you selected “0” for the previous code for
“identification”)
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• No = The author/article did not provide how their synthesis
defined the content area.
• Yes = The author/article provided how their synthesis defined the
content area. This can happen at any point in the synthesis but
will likely happen in the Introduction or Method.
Instructional Area Focus: As Stated Purpose of the Synthesis
Note: These codes are related to the author’s purpose of the synthesis and inclusion and exclusion criteria, not on the specific
results or description of included studies in the meta-analysis.
Variable Code Explanation
Components of
Explicit and
Systematic
Instruction
Two Codes, See Below Note: Study may state “explicit instruction” or “explicit and systematic
instruction” but they may also state common components such as:
modeling, stating lesson objectives, breaking down steps, guided practice
and independent practice, logically sequencing skills.
Although monitoring students and providing feedback is a component of
explicit and systematic instruction, it is often separated for synthesis
purposes; so this is a different instructional strategy (below).
Direct
Instruction
Two Codes, See Below Specifically identified as Direct Instruction as opposed to explicit and
systematic instruction.
Feedback
(corrective,
specific,
academic,
affirmative)
Two Codes, See Below This refers to interventions that are focused on considering the
effectiveness of forms of feedback to students.
Cognitive
Strategy
Instruction
Two Codes, See Below This may include: cognitive strategy instruction, self-monitoring, self-
regulation, self-questioning, meta-cognition. Definition from Montague’s
work: “the intervention presents a routine for mathematical problem
solving that incorporates both cognitive processes and metacognitive
strategies for solving problems and utilizes explicit instructional
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procedures with an emphasis on process modeling and verbalization of the
routine during the acquisition stage.”
Concrete
Representations
Two Codes, See Below This refers to interventions that focus on using hands-on/physical
manipulatives to teach mathematical concepts or procedures.
Visual/Pictorial
Representations
Two Codes, See Below This refers to interventions that focus on using drawings or visual models
to teach mathematical concepts or procedures. These visuals can range
from informal (realistic drawings) to formal (abstract representations).
CRA Framework Two Codes, See Below Note. This may be referred to as a graduated sequence of instruction.
SBI or SI
Framework
Two Codes, See Below Note, this is a specific framework and may be called “schema-instruction”
“schema-based instruction” or “schema broadening instruction.” (though it
includes components such as using representations). For the purpose of this
review, SI/SBI may also be referred to as “priming the underlying problem
structure.” From Powell (general description from a 2013 article, so Asha’s
work might look more like the broadening definition used here as well):
Schema-based instruction, teaches students to use schematic diagrams to
solve word problems. The student reads a word problem, selects a schema
diagram into which the word problem fits, and uses the structure of the
diagram to solve the problem. Schema-broadening instruction is similar to
schema-based instruction in that students read the word problem and select
a schema (from the taught schema) to solve word problems. Schema-
broadening instruction differs from schema-based instruction because
students are taught to transfer their knowledge of problem types to
recognize problems with novel features (e.g., different format, additional
question, irrelevant information, unfamiliar vocabulary, or information
presented in charts, graphs, or pictures) as belonging to a problem type for
which they know a solution.”
Peer-Assisted
Learning
Two Codes, See Below This may also be referred to as peer-mediated instruction, peer-tutoring, or
class wide peer-tutoring.
Computer-
assisted learning;
technology
Two Codes, See Below This refers to instructional modes that represent digital learning or
computer assisted learning/instruction.
Other Anecdotal Please provide the description.
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For each instructional strategy, you will code the following two codes:
Variable Code Explanation
Instructional
strategy is
identified or listed
in title,
Introduction, or
Method as a focus
of the synthesis.
Select one:
0 = No, not identified
1 = yes, identified
Note, if you mark a 0 in this
column, it’s automatically an
NA in the next column, for the
next code.
Note: do not consider the abstract for this code as often the abstract reports
results, and this code is about the intent of the study.
• No = The instructional strategy (e.g., CRA) was not identified by
authors in the title, Introduction, or Method section as a focus of the
synthesis, however, the results presented may have included
information about the effects of this strategy. In other words, authors
may not have been clear about the instructional strategy focus of the
intervention, or they presented results of different strategies ad hoc,
or as an afterthought. Yes = the synthesis focused on this
instructional strategy and the authors were clear about the focus
somewhere in the title, Introduction, or Methods section. For
example, “The interventions in this meta-analysis were required to
use CRA.” Or the title of the synthesis clearly states “Synthesis of
explicit instruction” or it is clearly detailed in the literature review,
research questions or purpose, inclusion criteria, etc.
Instructional
strategy is defined.
Select one:
NA = not applicable (select
this option if you selected “0”
for the previous code)
0 = No, not defined
1 = yes, defined
This code refers to whether or not the author or article provided how the
research team envisioned or defined the instructional strategy in relation to
their own synthesis. The article does not have to read, “we define CRA
as…” but there does need to be text provided for the reader to understand
how the research team defined the strategy.
• Not applicable = the synthesis did not address this instructional
strategy. (select this option if you selected “0” for the previous code
for “identification”)
• 0 = The author/article did not provide how their synthesis defined
the instructional strategy.
• 1 = The author/article provided how their synthesis defined the
instructional strategy. This can happen at any point in the article.
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RESULTS
Student Participant Demographics Including MD and MLD Identification: Descriptive Results
Variable Code Explanation
Students Total N Number or “Not Reported” ● List the total number of student participants across studies; only
provide the number as it is presented in text or tables. Do not
perform your own calculations.
Students with LD or
MLD N
Number or NA/NR ● List the total number of student participants across studies who
authors identified as having a Learning Disability (LD) or
Mathematics Learning Disability (MLD). For the purposes of
this study, this may also include “mathematics disability” or
“dyscalculia.”; only provide the number as it is presented in text
or tables. Do not perform your own calculations.
This option is presented because not all studies will differentiate between
LD (any type) and MLD specifically.
Students with MLD
specifically N
Number or NA/NR ● List the total number of student participants across studies who
authors specifically identified as having a Mathematics
Learning Disability (MLD). For the purposes of this study, this
may also include “mathematics disability” or “dyscalculia.”; only
provide the number as it is presented in text or tables. Do not
perform your own calculations.
This option is presented for studies that report, specifically, the number
of students that had a math learning disability, dyscalculia, or a math
disability (not just LD generally).
Students with MD N Number or NA/NR ● List the total number of student participants across studies who
authors identified as having a Mathematics Difficulty (MD); For
the purposes of this study, this may also include “low
achievement in mathematics” or “struggling in mathematics.”
Only provide the number as it is presented in text or tables. Do
not perform your own calculations.
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This option is presented for studies that report, specifically, the number
of students that had risk in math, math difficulty, or were low achieving
in math.
Students with LD/MLD
or MD N and Authors
don’t provide separate
data
Number or NA/NR ● Only use this code if authors included students with or at-risk of
learning disabilities AND mathematics difficulty and authors did
not report the separate sample sizes for LD versus LD.
● List the total number of students with LD or MD.
Sometimes, studies include students with learning disabilities and math
difficulty in the same sample, but the authors do not provide different
sample sizes for LD/MLD compared to Math Difficulty. This option is
presented for studies that report, the number of students with LD/MLD
and MD without providing disaggregated data.
Students with
Disabilities other than
LD/MLD N
Number or NA/NR ● List the total number of student participants across studies who
authors identified as having other types of disabilities other than
LD or MLD. This may include ADHD, developmental
disability, OHI, ASD, etc. Only provide the number as it is
presented in text or tables. Do not perform your own calculations.
Some studies might also include a small number of students with other
types of disabilities. This column is specifically for disabilities other than
LD and MLD.
Students who are
Typically Achieving N
Number or NA/NR ● List the total number of student participants across studies who
authors identified as typically achieving. Only provide the
number as it is presented in text or tables. Do not perform your
own calculations.
Some studies might also include typically achieving students. This
column is to report the number of typically achieving students in the
sample.
Notes about Sample
Size
Anecdotal ● Provide any detail related to the sample size, such as if
information was not provided in a straightforward manner and
you need to explain the number
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Mean Age or Range Number (years) ● List the mean age of participants (years, months; 8, 11 for 8
years, 11 months) if it is provided; this refers to the descriptive
results of included studies.
Specific Grades
Included
There will be a cell for
each grade level PreK –
12.
Select one for each grade
level:
0 = no, grade not represented
1 = yes, grade represented
● Mark 1 in the cell if this grade level is represented in the
synthesis; this should be specific information about the grade
levels such as provided in a table or sample sizes per grade level
in the text
● If the synthesis only provides a range, then you put a mark in
each grade represented by the range. For example, K-2 would
receive a 1 in K, 1, and 2.
Notes about Grades Anecdotal ● Provide any detail related to the grade levels included in the
synthesis, such as noting that “elementary” or “middle grades”
were included without specifying which grade levels this refers
to.
Methodological Information and Results
Variable Code Explanation
Type of Synthesis Select one:
0 = meta-analysis
1 = best-evidence synthesis
2 = systematic review or
synthesis
Codes defined:
• 0 = authors conducted a meta-analysis (a summary effect is
reported)
• 1 = authors conducted a “best evidence synthesis” or “review of the
evidence” which typically includes a review of the quality of the
studies, and may also include reporting a summary effect.
• 2 = authors completed a systematic review in which they outline
their search procedures and may or may not report individual
summary effects for studies or possibly a range of effect sizes across
studies; this may also be referred to as a “review of the literature”
Designs Included Select one:
0 = Not reported; not clear
1 = SCD only
2 = group design only
3 = SCD and group design
Codes defined as:
• 0 = It is not reported and it is not able to be determined what designs
were included in the study
• 1 = Single-case design (SCD) studies only were included
• 2 = group design only were included (experimental and/or quasi-
experimental)
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• 3 = SCD and group design were both included
Total Number of
Studies
Number Total number of studies that the authors decided to include in the synthesis;
you may need to count the number from a table if it is not provided in text
(also, check the abstract, it is often there)
Type of Effect Size Select all that apply: What type of effect size(s) did researchers report for the studies (this is after
0 = Not Reported
1 = Cohen’s d ES
2 = Hedges g ES
3 = Eta-squared ES
4 = Tau U
5 = PND (percent of non-
overlapping data)
6 = PAND (percentage of all
non-overlapping data)
7 = SMD (standard mean
difference)
8 = IRD (Improvement Rate
Difference)
9 = LLR = log response ratio
10 = Phi
11 = PEM (percentage of data
points exceeding the median)
12 = Other
Separate responses using a
semi-colon (e.g., “1; 3; 4”)
any conversion or transformation of data).
Note: codes 1-3 are common for group design studies; codes 4-11 are
common for SCD.
Note this refers specifically to how authors reported aggregated effect sizes;
if effectiveness is measured in some other capacity (e.g., social validity)
that information will be captured elsewhere.
Effect Size
Aggregation
Anecdotal and Copy and Paste If studies reported effect sizes, how were effect sizes within the same study
aggregated. In other words, did the authors calculate a composite effect
sizes (they took all outcome measures and reported 1 effect sizes for each
study as a representative effect size), they selected 1 measure/effect size as
the primary measure (if so, was it a proximal measure, norm-referenced, or
a specific content area?), or they accounted for dependency of effect sizes.
Nelson, Crawford & Hunt (2022) Copyright
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An example of a composite effect sizes: “In the case where a study used
multiple outcome measures, we calculated the mean effect size across
measures.”
An example of the primary measure: “When researchers used more than one
math measure, we identified a primary outcome measure that was the best
representation of the construct of early numeracy, as the purpose of this
meta-analysis was to determine the effect of early numeracy interventions
on math performance.”
An example of accounting for dependency of effect sizes: “All eligible,
independent effect sizes were included from each study, resulting in some
studies contributing multiple effect sizes when several math outcomes were
reported. Therefore, to account for the statistical dependencies of correlated
effects, random effects robust standard estimation was used.”
Long-term
Effectiveness of the
Intervention
Select all that apply (1 and 2
could both be selected if
appropriate):
0 = no
1 = yes, summary effect for
delayed post-test, maintenance
2 = yes, individual study effect
for delayed post-test,
maintenance
3 = reported other information
about long-term effectiveness
This code refers to whether or not authors evaluated summary effects
beyond typical post-test, such as with a delayed post-test analysis. This is
only a code for summary or individual effects.
• No = no long-term effects, maintenance, or delayed-post-test results
were reported as results
• Yes, summary effects = an aggregate effect for long-term
effectiveness was reported across studies
• Yes, individual effects = individual long-term effects were reported
• 3 = Authors reported other information about long-term measures
when present in included studies (presence of maintenance tests,
visual inspection, etc.)
Outcome Measures
Presented
Select all that apply:
0 = not reported
1 = achievement outcomes
(effect sizes)
2 = strategy use
Codes defined:
This code refers to how authors defined effectiveness of the intervention.
This code indicates what outcome measures were reported in any format. In
other words, what outcome data were authors of the synthesis reporting
(often it’s just achievement data). This can be summary effects, individual
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3 = attitude, anxiety
4 = engagement
5 = student social validity
6 = teacher social validity
7= social validity (not
specified)
effects, frequencies, or any other form of reporting on the presence of these
measures.
• 0 = it is not clear from the study how authors were reporting
effectiveness
• 1 = any math achievement data, such as problems correct, score on a
standardized measure, pre to posttest gains, CBMs, etc.
• 2 = any data about students’ growth or difference in use of strategies
as a result of the intervention
• 3 = any data about students’ math attitude or anxiety as a result of
the intervention
• 4 = any data about students’ engagement in math as a result of the
intervention
• 5 = any data about students’ perceptions of the intervention, such as
usefulness of the lessons, likeness of the lessons, etc.
• 6 = any data about teachers’ perceptions of the intervention, such as
usefulness of the lessons, likeness of the lessons, this might also be
feasibility or cost effectiveness data
• 7 = social validity data were captured but it’s not clear or specified
from who
Proximal and Distal
Outcomes
Select all that apply:
NA = not applicable
0 = not able to determine
1 = proximal measures
2 = distal measures
3 = CBMs
4 = Norm-referenced
5 = researcher developed
What types of measures did authors use to calculate effect sizes? Note that
some of the options are not mutually exclusive. Two codes may apply if the
measure or measures are explicitly identified as such (e.g., a proximal CBM
is coded as both but a CBM with no other information would just be coded
as CBM). (This is ONLY about which effect sizes are reported, either
summary effects OR individual effects. This is NOT based on inclusion
criteria—this is only what effect sizes are reported in the results.)
• NA = authors did not calculate any effect sizes (this would only be a
handful of studies)
• Proximal = authors stated that they calculated effect sizes using
proximal measures (measures closely aligned to the intervention)
• Distal = authors stated that they calculated effect sizes using distal
measures (measures not aligned to the intervention)
Nelson, Crawford & Hunt (2022) Copyright
17
• CBMs = authors used data from curriculum based measures to
calculate effect sizes
• Norm-referenced = authors used standardized norm-referenced tests
such as TEMA, WJ, SAT-10, SESAT, etc. to calculate effect sizes
• Researcher-developed = authors considered researcher created
measures to calculate effect sizes, also called experimenter
developed.
If the measure is only identified as “standardized” with no other
information, code this as 0-not able to determine.
Outcome Measure
Results Information
Anecdotal • Use this column to report any specific information. For example,
maybe social validity data were only presented for SCD studies, or
strategy use was only reported for a handful of studies.
Effect Sizes and
Results
Number Record all effect sizes reported by authors; this includes effect sizes that are
summary effects, and for subgroup analyses such as for different content
areas, instructional strategies, and groups of students (e.g., LD, MLD, MD).
Instructional Strategies
For each instructional area that is mentioned in the Results or Discussion, you will select if any results were presented. This coding
should happen regardless of what the authors specified was the focus of their synthesis. This can be effect sizes, frequency counts of
the number of studies that address a strategy, etc.
Variable Code Explanation
Components of Select all that apply: Note: Study may state “explicit instruction” or “explicit and systematic
Explicit and 0 = no results reported instruction” but they may also state common components such as:
Systematic 1 = summary effect sizes modeling, breaking down steps, guided practice and independent practice,
Instruction 2 = individual study effect sizes logically sequencing skills.
3 = frequency counts • 0 = No results (summary effects, individual study effects,
4 = other results (e.g., qualitative) qualitative information, or frequency counts) were reported for this
instructional strategy.
• 1 = Yes, there is a summary effect size for this instructional
strategy.
Nelson, Crawford & Hunt (2022) Copyright
18
• 2 = yes, there are individual study effect sizes linked with this
instructional strategy (could be in text or in a table).
• 3 = frequency counts were reported, such as the number of studies
in the synthesis that focused on this instructional strategy
• 4 = other results including qualitative synthesis of the instructional
strategy or individual summaries of studies that used this
instructional strategy.
Direct
Instruction
Select all that apply:
0 = no results reported
1 = summary effect sizes
2 = individual study effect sizes
3 = frequency counts
4 = other results (e.g., qualitative)
Specifically identified as Direct Instruction as opposed to Explicit and
Systematic Instruction.
Feedback
(corrective,
specific,
academic,
affirmative)
Select all that apply:
0 = no results reported
1 = summary effect sizes
2 = individual study effect sizes
3 = frequency counts
4 = other results (e.g., qualitative)
This refers to interventions that are focused on considering the
effectiveness of forms of feedback to students.
Cognitive
Strategy
Instruction
Select all that apply:
0 = no results reported
1 = summary effect sizes
2 = individual study effect sizes
3 = frequency counts
4 = other results (e.g., qualitative)
This may include: cognitive strategy instruction, self-monitoring, self-
regulation, self-questioning, meta-cognition. Definition from Montague’s
work: “the intervention presents a routine for mathematical problem
solving that incorporates both cognitive processes and metacognitive
strategies for solving problems and utilizes explicit instructional
procedures with an emphasis on process modeling and verbalization of the
routine during the acquisition stage.”
Concrete
Representations
Select all that apply:
0 = no results reported
1 = summary effect sizes
2 = individual study effect sizes
3 = frequency counts
This refers to interventions that focus on using hands-on manipulatives to
teach mathematical concepts or procedures.
Nelson, Crawford & Hunt (2022) Copyright
19
4 = other results (e.g., qualitative)
Visual/Pictorial
Representations
Select all that apply:
0 = no results reported
1 = summary effect sizes
2 = individual study effect sizes
3 = frequency counts
4 = other results (e.g., qualitative)
This refers to interventions that focus on using drawings or visual models
to teach mathematical concepts or procedures. These visuals can range
from informal (realistic drawings) to formal (abstract representations).
CRA Framework Select all that apply:
0 = no results reported
1 = summary effect sizes
2 = individual study effect sizes
3 = frequency counts
4 = other results (e.g., qualitative)
Note. This may be referred to as a graduated sequence of instruction.
SBI or SI
Framework
Select all that apply:
0 = no results reported
1 = summary effect sizes
2 = individual study effect sizes
3 = frequency counts
4 = other results (e.g., qualitative)
Note, this is a specific framework and may be called “schema-instruction”
“schema-based instruction” or “schema broadening instruction.” (though it
includes components such as using representations). For the purpose of this
review, SI/SBI may also be referred to as “priming the underlying problem
structure.” From Powell (general description from a 2013 article, so Asha’s
work might look more like the broadening definition used here as well):
Schema-based instruction, teaches students to use schematic diagrams to
solve word problems. The student reads a word problem, selects a schema
diagram into which the word problem fits, and uses the structure of the
diagram to solve the problem. Schema-broadening instruction is similar to
schema-based instruction in that students read the word problem and select
a schema (from the taught schema) to solve word problems. Schema-
broadening instruction differs from schema-based instruction because
students are taught to transfer their knowledge of problem types to
recognize problems with novel features (e.g., different format, additional
question, irrelevant information, unfamiliar vocabulary, or information
Nelson, Crawford & Hunt (2022) Copyright
20
presented in charts, graphs, or pictures) as belonging to a problem type for
which they know a solution.”
Peer-Assisted
Learning
Select all that apply:
0 = no results reported
1 = summary effect sizes
2 = individual study effect sizes
3 = frequency counts
4 = other results (e.g., qualitative)
This may also be referred to as peer-mediated instruction, peer-tutoring, or
class wide peer-tutoring.
Computer-
Assisted
Learning;
Technology;
Digital
Select all that apply:
0 = no results reported
1 = summary effect sizes
2 = individual study effect sizes
3 = frequency counts
4 = other results (e.g., qualitative)
This refers to instructional modes that represent digital learning or
computer assisted learning/instruction.
Other Anecdotal Please provide the description.
How Effectiveness was Measured and Reported
• There are a few other codes throughout related to effectiveness in different sections. They are highlighted in blue.
Variable Code Explanation
EBPs Focus? Select one: This code refers to if the synthesis attempted to identify a practice as an
0 = no evidence-based practice.
1 = yes No = the purpose of the study was not to identify a practice as EBP (this is
many of the meta-analyses)
Yes = yes, the purpose of the article (usually a quality review) was to
identify a practice as EBP
Was the practice Select one: If you coded a 1 above, was the practice actually identified as EBP at the
identified as NA conclusion of the study?
EBP? 0 = no NA = not applicable because you selected a code of ) above
1 = yes
Nelson, Crawford & Hunt (2022) Copyright
21
No = the authors determined that the practice was not EBP or there wasn’t
enough evidence
Yes = according to the results of the study, the practice is EBP
Evidence
Indicators
Anecdotal Copy and paste information about what measure, scale, quality indicators
the authors used to determine if the practice was EBP. Some studies will
include quality indicators without actually identifying a practice as
evidence-based. Only quality indicators used to identify an EBP should be
reported here.

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A Systematic Review Of Research Syntheses For Students With Mathematics Learning Disabilities And Difficulties

  • 1. Boise State University Boise State University ScholarWorks ScholarWorks Early and Special Education Faculty Publications and Presentations Department of Early and Special Education 1-5-2022 A Systematic Review of Research Syntheses for Students with A Systematic Review of Research Syntheses for Students with Mathematics Learning Disabilities and Difficulties Mathematics Learning Disabilities and Difficulties Gena Nelson Boise State University Angela Crawford Boise State University Jessica Hunt North Carolina State University Publication Information Publication Information Nelson, Gena; Crawford, Angela; and Hunt, Jessica. (2022). "A Systematic Review of Research Syntheses for Students with Mathematics Learning Disabilities and Difficulties". Early and Special Education Faculty Publications and Presentations, article no. 143, pp. 1-21. https://doi.org/10.18122/sped.143.boisestate Š 2022, Nelson, Crawford, and Hunt.
  • 2. Nelson, Crawford & Hunt (2022) Copyright 1 A Systematic Review of Research Syntheses for Students with Mathematics Learning Disabilities and Difficulties Abstract The purpose of this document is to provide readers with the coding protocol that authors used to code 36 research syntheses (including meta-analyses, evidence-based reviews, and quantitative systematic reviews) focused on mathematics interventions for students with learning disabilities (LD), mathematics learning disabilities (MLD), and mathematics difficulties (MD). The purpose of the systematic review of mathematics intervention syntheses was to identify patterns and gaps in content areas, instructional strategies, effect sizes, and definitions of LD, MLD, and MD. We searched the literature for research syntheses published between 2000 and 2020 and used rigorous inclusion criteria in our literature review process. We evaluated 36 syntheses that included 836 studies with 32,495 participants. We coded each synthesis for variables across seven categories including: publication codes (authors, year, journal), inclusion and exclusion criteria, content area focus, instructional strategy focus, sample size, methodological information, and results. The mean interrater reliability across all codes using this coding protocol was 90.3%. Although each synthesis stated a focus on LD, MLD, or MD, very few students with LD or MLD were included, and authors’ operational definitions of disability and risk varied. Syntheses predominantly focused on word problem solving, fractions, computer- assisted learning, and schema-based instruction. Syntheses reported wide variation in effectiveness, content areas, and instructional strategies. Finally, our results indicate the majority of syntheses report achievement outcomes, but very few syntheses report on other outcomes (e.g., social validity, strategy use). We discuss how the results of this comprehensive review can guide researchers in expanding the knowledge base on mathematics interventions. The systematic review that results from this coding process is accepted for publication and in press at Learning Disabilities Research and Practice. Keywords: meta-analysis, mathematics, intervention, learning disability, coding protocol
  • 3. Nelson, Crawford & Hunt (2022) Copyright 2 Math Intervention Research Synthesis Coding Rubric Please keep in mind that for coding purposes in this study, we use the following: • MD (risk) = mathematics difficulty; low achievement in math; learning difficulty in math; risk in math • MLD (disability) = mathematics learning disability; math disability; dyscalculia; LD with IEP goal in math Some of the codes that required copy/paste were used for descriptive information or were recoded for qualitative themes. This coding protocol includes variables in the following categories: • Publication codes (p. 2) • Inclusion and exclusion criteria (p. 2) • Content area, stated focus of the synthesis (p. 5) • Instructional strategies, stated focus of the synthesis (p. 8) • Student participant demographics including Md and MLD identification (p. 11) • Methodological information and results (p. 13) • Instructional strategy, other results (p. 17) • How effectiveness was measured and reported (p. 20) Publication Codes Cell Variable Code Explanation A Authors Name List all authors’ last names B Year Number Record year of publication C Journal Name Record journal; Use full name, do not use acronyms PURPOSE AND FOCUS OF THE SYNTHESIS Inclusion and Exclusion Criteria Note: These codes are related to the author’s purpose of the synthesis and inclusion and exclusion criteria, not on the specific results or description of included studies in the meta-analysis. Variable Code Explanation
  • 4. Nelson, Crawford & Hunt (2022) Copyright 3 Grade/Age Copy/Paste Information or NA Copy and paste inclusion and exclusion criteria related to the age or grade of participants. If authors did not state inclusion or exclusion criteria related to age or grade, write N/A. Outcome Measure Copy/Paste Information or NA Copy and paste inclusion and exclusion criteria related outcome measure requirements. If authors did not state inclusion or exclusion criteria related to outcome measures, write N/A. Participant Disability or Risk as Specified in Method Copy and Paste Information Copy and paste the specific requirement that authors state related to including studies. Copy and paste information such as “studies were required to include at least one student with LD” or “Studies were required to include participants who performed below the 25th percentile on a standardized measure of achievement.” Or Participant LD/MLD Criteria Select all that apply related to disability requirement: 0 = Not Applicable 1 = percentile cutoff 2 = IDEA, school, district, or state criteria 3 = documented 4 = IEP goal 5 = Services in special education setting 6 = Other 7 = Not described Separate responses using a semi-colon (e.g., “1; 3; 4”) These codes specifically refer to how authors identified or described their definition of learning disabilities or mathematics learning disabilities. Codes defined as: ● Not applicable = The authors did not include participants with LD/MLD (disability) in their synthesis, they only included Math Difficulty. ● Percentile = authors used a percentile to state students had LD/MLD, such as performing below the 10th percentile on a measure of math achievement. ● IDEA, School, district, or state criteria = Authors stated that participants had LD/MLD according to a set of criteria ● Documented = Authors stated that the participants had a documented LD/MLD (e.g., “students with documented MLD were included.”) ● IEP = Authors stated that the participants that had IEPs goals in math ● Special education = Authors stated that students received special education services in mathematics ● Other = Authors used other criteria and specified what criteria were (e.g., a statement that they used the criteria identified in the original study, “The study included a subset of participants as have a learning disability.” Not described = Authors stated
  • 5. Nelson, Crawford & Hunt (2022) Copyright 4 that students with LD/MLD were a focus of their study, but the authors did not provide the criteria they used (authors of the synthesis may also state something like, “students were identified with MLD with methods as described by the author” although, the specific criteria are still not described). Participant LD/MLD Criteria: PERCENTILE Number or N/A If the synthesis identified participants with MLD using a percentile cutoff (code of 1 above), provide the percentile (use pc. and < or <=) Examples: • <35 pc • <=25 pc • 11 to 25 pc Participant LD/MLD Criteria: OTHER NA or Anecdotal (fill out anecdotal only if you marked code of “6” above) If the synthesis identified participants with MLD using a “other” criteria, copy and paste the criteria here. Participant Math Difficulty (MD) or Risk Criteria Select all that apply: 0 = Not applicable 1 = percentile cut off on a screening test or measure 2 = teacher or parent referral or identification 3 = state test scores/ benchmark 4 = Receiving Intervention 5 = Other These codes specifically refer to how authors identified or described their definition of DIFFICULTY or RISK. Codes defined as: • Not applicable = The authors did not include participants with MD (risk) in their synthesis, they only included disability. ● Percentile = authors used a percentile to state students had MD, such as performing below the 25th percentile on a measure of achievement. ● Referral = parents or teachers referred students for MD ● State test = Authors stated that participants had MD according to a score on a state test 6 = Not Described Separate responses using a semi-colon (e.g., “1; 3; 4”) ● Receiving Intervention = Authors stated that students were included as MD due to receiving targeted services, intervention, Tier 2, 3, etc. ● Other = Authors used other criteria and specified what criteria were (e.g., a statement that the authors used the criteria identified in the original study such as “We included any study where authors specified that students had MD.”) ● Not described = Authors stated that students with MD were a focus of their study, but the authors did not provide difficulty
  • 6. Nelson, Crawford & Hunt (2022) Copyright 5 criteria they used (authors of the synthesis may also state that students were identified with MD with methods ‘as described by the author’ although, the specific criteria are still not described). Participant Math Difficulty Criteria: PERCENTILE Number or NA Code defined: If the synthesis identified participants with MD using a percentile cutoff (code of 1 above), provide the percentile (use pc. and < or <=) Examples: • <35 pc • <=25 pc • 11 to 25 pc Participant Math Difficulty Criteria: OTHER NA or Anecdotal (fill out only if you marked code of “5”) If the synthesis identified participants with MD using an “other” criteria, copy and paste the criteria here. Content Area Focus: As the Stated Purpose of the Synthesis Note: These codes are related to the author’s purpose of the synthesis and inclusion and exclusion criteria, not on the specific results or description of included studies in the meta-analysis. Variable Code Explanation Content Area as Copy and Paste Information Copy and paste information from the purpose or inclusion and exclusion Specified in Purpose criteria about the focus of the synthesis (perhaps this would be in the title as well). This will help you determine which content areas to select “yes” for below. Broad Math Two Codes, See Below Some meta-analysis or reviews might simply state that they focused on “math interventions” without any follow up information, this is an example of when this code would be “yes” Or, some studies might say that they focused on Number and Operations skills (which encompass many different mathematics skills), this would also be a code a “yes” Early Numeracy Two Codes, See Below This includes number sense, place value, counting, number identification, subitizing, decomposing and composing, early math, etc. Basic Facts, Two Codes, See Below This includes interventions focused on operations: basic facts, Computation computation, number combinations (including addition, subtraction,
  • 7. Nelson, Crawford & Hunt (2022) Copyright 6 multiplication, division) and may include a focus on complex computation (algorithms) or basic fact retrieval. Fractions Two Codes, See Below This includes interventions that focus on conceptual and procedural fraction knowledge and includes topics like part-whole fractions, measurement interpretation of fractions (fractions and number lines), equivalent fractions, operations with fractions, etc. Decimals Two Codes, See Below This includes interventions that focus on conceptual and procedural decimal knowledge. Topics can include place value, magnitude comparison, and computation. Percents Two Codes, See Below This includes interventions that focus on conceptual and procedural percent knowledge. Word Problem Solving Two Codes, See Below This involves instruction that focuses on problems with a few sentences describing a “real-life” situation which are translated into a mathematical calculation. Interventions focused on word problems for computation or proportions would be coded only as word problem solving. Word problems could include computation with whole numbers, fractions, decimals, ratios, etc. Problem Solving Two Codes, See Below Problem solving involves using logic or reasoning to solve a task or a set of related tasks for which there is no immediately apparent solution. Interventions that focus on computations or word problem solving are not included in problem solving. Geometry & Measurement Two Codes, See Below Geometry: These interventions may focus on spatial reasoning, shapes, and transformations. At higher grade levels, this may also incorporate argumentation and proof. Measurement: these interventions focus on things like linear measurement, area, perimeter, angle measures, and trigonometry. Algebra Two Codes, See Below This will include topics such as variables, integers, equations and inequalities, functions, and graphing on a Cartesian plane (x, y coordinates). Rate, Ratio, Proportional Reasoning Two Codes, See Below These interventions focus on topics that involve composite units, multiplicative comparisons, and covariation. Topics may include unit rates, scale factors, and missing value proportions.
  • 8. Nelson, Crawford & Hunt (2022) Copyright 7 Data Two Codes, See Below These interventions would focus on the collection and presentation of Analysis/Probability data (e.g., graphing), central tendency (e.g., mean, median, mode) and variability (e.g., MAD, SD, range), and likelihood of outcomes. For each content area, you will code the following two codes: Variable Code Explanation Content area is Select one: 0 = No, not identified 1 = yes, identified Note, if you mark a 0 in this column, it’s automatically an NA in the next column, for the next code. Note: do not consider the abstract for this code as often the abstract reports results, and this code is about the intent of the study. • No = The content area (e.g., early numeracy) was not identified by authors in the title, Introduction, or Method section as a focus of the synthesis, however, the results presented may have included information about the effects of the content area. In other words, authors may not have been clear about the content area focus of the intervention, or they presented results in different content areas ad hoc, or as an afterthought. • Yes = the synthesis focused on a content area and the authors were clear about the focus somewhere in the title, Introduction, or Methods section. For example, “The interventions in this meta- analysis were required to focus on ratio and unit rate concepts.” Or the title of the synthesis clearly states “Synthesis of problem solving interventions” or it is clearly detailed in the literature review, research questions or purpose, inclusion criteria, etc. identified or listed in title, Introduction, or Method as a focus of the synthesis. Content area is defined. Select one: NA = not applicable (select this option if you selected “0” for the previous code) 0 = No, not defined 1 = yes, defined This code refers to whether or not the author or article provided how the research team envisioned or defined the content area in relation to their own synthesis. The article does not have to read, “we define ratio/problem solving/early numeracy/etc. as…” but there does need to be text provided for the reader to understand how the research team defined the content area. • Not applicable = the synthesis did not address this content area. (select this option if you selected “0” for the previous code for “identification”)
  • 9. Nelson, Crawford & Hunt (2022) Copyright 8 • No = The author/article did not provide how their synthesis defined the content area. • Yes = The author/article provided how their synthesis defined the content area. This can happen at any point in the synthesis but will likely happen in the Introduction or Method. Instructional Area Focus: As Stated Purpose of the Synthesis Note: These codes are related to the author’s purpose of the synthesis and inclusion and exclusion criteria, not on the specific results or description of included studies in the meta-analysis. Variable Code Explanation Components of Explicit and Systematic Instruction Two Codes, See Below Note: Study may state “explicit instruction” or “explicit and systematic instruction” but they may also state common components such as: modeling, stating lesson objectives, breaking down steps, guided practice and independent practice, logically sequencing skills. Although monitoring students and providing feedback is a component of explicit and systematic instruction, it is often separated for synthesis purposes; so this is a different instructional strategy (below). Direct Instruction Two Codes, See Below Specifically identified as Direct Instruction as opposed to explicit and systematic instruction. Feedback (corrective, specific, academic, affirmative) Two Codes, See Below This refers to interventions that are focused on considering the effectiveness of forms of feedback to students. Cognitive Strategy Instruction Two Codes, See Below This may include: cognitive strategy instruction, self-monitoring, self- regulation, self-questioning, meta-cognition. Definition from Montague’s work: “the intervention presents a routine for mathematical problem solving that incorporates both cognitive processes and metacognitive strategies for solving problems and utilizes explicit instructional
  • 10. Nelson, Crawford & Hunt (2022) Copyright 9 procedures with an emphasis on process modeling and verbalization of the routine during the acquisition stage.” Concrete Representations Two Codes, See Below This refers to interventions that focus on using hands-on/physical manipulatives to teach mathematical concepts or procedures. Visual/Pictorial Representations Two Codes, See Below This refers to interventions that focus on using drawings or visual models to teach mathematical concepts or procedures. These visuals can range from informal (realistic drawings) to formal (abstract representations). CRA Framework Two Codes, See Below Note. This may be referred to as a graduated sequence of instruction. SBI or SI Framework Two Codes, See Below Note, this is a specific framework and may be called “schema-instruction” “schema-based instruction” or “schema broadening instruction.” (though it includes components such as using representations). For the purpose of this review, SI/SBI may also be referred to as “priming the underlying problem structure.” From Powell (general description from a 2013 article, so Asha’s work might look more like the broadening definition used here as well): Schema-based instruction, teaches students to use schematic diagrams to solve word problems. The student reads a word problem, selects a schema diagram into which the word problem fits, and uses the structure of the diagram to solve the problem. Schema-broadening instruction is similar to schema-based instruction in that students read the word problem and select a schema (from the taught schema) to solve word problems. Schema- broadening instruction differs from schema-based instruction because students are taught to transfer their knowledge of problem types to recognize problems with novel features (e.g., different format, additional question, irrelevant information, unfamiliar vocabulary, or information presented in charts, graphs, or pictures) as belonging to a problem type for which they know a solution.” Peer-Assisted Learning Two Codes, See Below This may also be referred to as peer-mediated instruction, peer-tutoring, or class wide peer-tutoring. Computer- assisted learning; technology Two Codes, See Below This refers to instructional modes that represent digital learning or computer assisted learning/instruction. Other Anecdotal Please provide the description.
  • 11. Nelson, Crawford & Hunt (2022) Copyright 10 For each instructional strategy, you will code the following two codes: Variable Code Explanation Instructional strategy is identified or listed in title, Introduction, or Method as a focus of the synthesis. Select one: 0 = No, not identified 1 = yes, identified Note, if you mark a 0 in this column, it’s automatically an NA in the next column, for the next code. Note: do not consider the abstract for this code as often the abstract reports results, and this code is about the intent of the study. • No = The instructional strategy (e.g., CRA) was not identified by authors in the title, Introduction, or Method section as a focus of the synthesis, however, the results presented may have included information about the effects of this strategy. In other words, authors may not have been clear about the instructional strategy focus of the intervention, or they presented results of different strategies ad hoc, or as an afterthought. Yes = the synthesis focused on this instructional strategy and the authors were clear about the focus somewhere in the title, Introduction, or Methods section. For example, “The interventions in this meta-analysis were required to use CRA.” Or the title of the synthesis clearly states “Synthesis of explicit instruction” or it is clearly detailed in the literature review, research questions or purpose, inclusion criteria, etc. Instructional strategy is defined. Select one: NA = not applicable (select this option if you selected “0” for the previous code) 0 = No, not defined 1 = yes, defined This code refers to whether or not the author or article provided how the research team envisioned or defined the instructional strategy in relation to their own synthesis. The article does not have to read, “we define CRA as…” but there does need to be text provided for the reader to understand how the research team defined the strategy. • Not applicable = the synthesis did not address this instructional strategy. (select this option if you selected “0” for the previous code for “identification”) • 0 = The author/article did not provide how their synthesis defined the instructional strategy. • 1 = The author/article provided how their synthesis defined the instructional strategy. This can happen at any point in the article.
  • 12. Nelson, Crawford & Hunt (2022) Copyright 11 RESULTS Student Participant Demographics Including MD and MLD Identification: Descriptive Results Variable Code Explanation Students Total N Number or “Not Reported” ● List the total number of student participants across studies; only provide the number as it is presented in text or tables. Do not perform your own calculations. Students with LD or MLD N Number or NA/NR ● List the total number of student participants across studies who authors identified as having a Learning Disability (LD) or Mathematics Learning Disability (MLD). For the purposes of this study, this may also include “mathematics disability” or “dyscalculia.”; only provide the number as it is presented in text or tables. Do not perform your own calculations. This option is presented because not all studies will differentiate between LD (any type) and MLD specifically. Students with MLD specifically N Number or NA/NR ● List the total number of student participants across studies who authors specifically identified as having a Mathematics Learning Disability (MLD). For the purposes of this study, this may also include “mathematics disability” or “dyscalculia.”; only provide the number as it is presented in text or tables. Do not perform your own calculations. This option is presented for studies that report, specifically, the number of students that had a math learning disability, dyscalculia, or a math disability (not just LD generally). Students with MD N Number or NA/NR ● List the total number of student participants across studies who authors identified as having a Mathematics Difficulty (MD); For the purposes of this study, this may also include “low achievement in mathematics” or “struggling in mathematics.” Only provide the number as it is presented in text or tables. Do not perform your own calculations.
  • 13. Nelson, Crawford & Hunt (2022) Copyright 12 This option is presented for studies that report, specifically, the number of students that had risk in math, math difficulty, or were low achieving in math. Students with LD/MLD or MD N and Authors don’t provide separate data Number or NA/NR ● Only use this code if authors included students with or at-risk of learning disabilities AND mathematics difficulty and authors did not report the separate sample sizes for LD versus LD. ● List the total number of students with LD or MD. Sometimes, studies include students with learning disabilities and math difficulty in the same sample, but the authors do not provide different sample sizes for LD/MLD compared to Math Difficulty. This option is presented for studies that report, the number of students with LD/MLD and MD without providing disaggregated data. Students with Disabilities other than LD/MLD N Number or NA/NR ● List the total number of student participants across studies who authors identified as having other types of disabilities other than LD or MLD. This may include ADHD, developmental disability, OHI, ASD, etc. Only provide the number as it is presented in text or tables. Do not perform your own calculations. Some studies might also include a small number of students with other types of disabilities. This column is specifically for disabilities other than LD and MLD. Students who are Typically Achieving N Number or NA/NR ● List the total number of student participants across studies who authors identified as typically achieving. Only provide the number as it is presented in text or tables. Do not perform your own calculations. Some studies might also include typically achieving students. This column is to report the number of typically achieving students in the sample. Notes about Sample Size Anecdotal ● Provide any detail related to the sample size, such as if information was not provided in a straightforward manner and you need to explain the number
  • 14. Nelson, Crawford & Hunt (2022) Copyright 13 Mean Age or Range Number (years) ● List the mean age of participants (years, months; 8, 11 for 8 years, 11 months) if it is provided; this refers to the descriptive results of included studies. Specific Grades Included There will be a cell for each grade level PreK – 12. Select one for each grade level: 0 = no, grade not represented 1 = yes, grade represented ● Mark 1 in the cell if this grade level is represented in the synthesis; this should be specific information about the grade levels such as provided in a table or sample sizes per grade level in the text ● If the synthesis only provides a range, then you put a mark in each grade represented by the range. For example, K-2 would receive a 1 in K, 1, and 2. Notes about Grades Anecdotal ● Provide any detail related to the grade levels included in the synthesis, such as noting that “elementary” or “middle grades” were included without specifying which grade levels this refers to. Methodological Information and Results Variable Code Explanation Type of Synthesis Select one: 0 = meta-analysis 1 = best-evidence synthesis 2 = systematic review or synthesis Codes defined: • 0 = authors conducted a meta-analysis (a summary effect is reported) • 1 = authors conducted a “best evidence synthesis” or “review of the evidence” which typically includes a review of the quality of the studies, and may also include reporting a summary effect. • 2 = authors completed a systematic review in which they outline their search procedures and may or may not report individual summary effects for studies or possibly a range of effect sizes across studies; this may also be referred to as a “review of the literature” Designs Included Select one: 0 = Not reported; not clear 1 = SCD only 2 = group design only 3 = SCD and group design Codes defined as: • 0 = It is not reported and it is not able to be determined what designs were included in the study • 1 = Single-case design (SCD) studies only were included • 2 = group design only were included (experimental and/or quasi- experimental)
  • 15. Nelson, Crawford & Hunt (2022) Copyright 14 • 3 = SCD and group design were both included Total Number of Studies Number Total number of studies that the authors decided to include in the synthesis; you may need to count the number from a table if it is not provided in text (also, check the abstract, it is often there) Type of Effect Size Select all that apply: What type of effect size(s) did researchers report for the studies (this is after 0 = Not Reported 1 = Cohen’s d ES 2 = Hedges g ES 3 = Eta-squared ES 4 = Tau U 5 = PND (percent of non- overlapping data) 6 = PAND (percentage of all non-overlapping data) 7 = SMD (standard mean difference) 8 = IRD (Improvement Rate Difference) 9 = LLR = log response ratio 10 = Phi 11 = PEM (percentage of data points exceeding the median) 12 = Other Separate responses using a semi-colon (e.g., “1; 3; 4”) any conversion or transformation of data). Note: codes 1-3 are common for group design studies; codes 4-11 are common for SCD. Note this refers specifically to how authors reported aggregated effect sizes; if effectiveness is measured in some other capacity (e.g., social validity) that information will be captured elsewhere. Effect Size Aggregation Anecdotal and Copy and Paste If studies reported effect sizes, how were effect sizes within the same study aggregated. In other words, did the authors calculate a composite effect sizes (they took all outcome measures and reported 1 effect sizes for each study as a representative effect size), they selected 1 measure/effect size as the primary measure (if so, was it a proximal measure, norm-referenced, or a specific content area?), or they accounted for dependency of effect sizes.
  • 16. Nelson, Crawford & Hunt (2022) Copyright 15 An example of a composite effect sizes: “In the case where a study used multiple outcome measures, we calculated the mean effect size across measures.” An example of the primary measure: “When researchers used more than one math measure, we identified a primary outcome measure that was the best representation of the construct of early numeracy, as the purpose of this meta-analysis was to determine the effect of early numeracy interventions on math performance.” An example of accounting for dependency of effect sizes: “All eligible, independent effect sizes were included from each study, resulting in some studies contributing multiple effect sizes when several math outcomes were reported. Therefore, to account for the statistical dependencies of correlated effects, random effects robust standard estimation was used.” Long-term Effectiveness of the Intervention Select all that apply (1 and 2 could both be selected if appropriate): 0 = no 1 = yes, summary effect for delayed post-test, maintenance 2 = yes, individual study effect for delayed post-test, maintenance 3 = reported other information about long-term effectiveness This code refers to whether or not authors evaluated summary effects beyond typical post-test, such as with a delayed post-test analysis. This is only a code for summary or individual effects. • No = no long-term effects, maintenance, or delayed-post-test results were reported as results • Yes, summary effects = an aggregate effect for long-term effectiveness was reported across studies • Yes, individual effects = individual long-term effects were reported • 3 = Authors reported other information about long-term measures when present in included studies (presence of maintenance tests, visual inspection, etc.) Outcome Measures Presented Select all that apply: 0 = not reported 1 = achievement outcomes (effect sizes) 2 = strategy use Codes defined: This code refers to how authors defined effectiveness of the intervention. This code indicates what outcome measures were reported in any format. In other words, what outcome data were authors of the synthesis reporting (often it’s just achievement data). This can be summary effects, individual
  • 17. Nelson, Crawford & Hunt (2022) Copyright 16 3 = attitude, anxiety 4 = engagement 5 = student social validity 6 = teacher social validity 7= social validity (not specified) effects, frequencies, or any other form of reporting on the presence of these measures. • 0 = it is not clear from the study how authors were reporting effectiveness • 1 = any math achievement data, such as problems correct, score on a standardized measure, pre to posttest gains, CBMs, etc. • 2 = any data about students’ growth or difference in use of strategies as a result of the intervention • 3 = any data about students’ math attitude or anxiety as a result of the intervention • 4 = any data about students’ engagement in math as a result of the intervention • 5 = any data about students’ perceptions of the intervention, such as usefulness of the lessons, likeness of the lessons, etc. • 6 = any data about teachers’ perceptions of the intervention, such as usefulness of the lessons, likeness of the lessons, this might also be feasibility or cost effectiveness data • 7 = social validity data were captured but it’s not clear or specified from who Proximal and Distal Outcomes Select all that apply: NA = not applicable 0 = not able to determine 1 = proximal measures 2 = distal measures 3 = CBMs 4 = Norm-referenced 5 = researcher developed What types of measures did authors use to calculate effect sizes? Note that some of the options are not mutually exclusive. Two codes may apply if the measure or measures are explicitly identified as such (e.g., a proximal CBM is coded as both but a CBM with no other information would just be coded as CBM). (This is ONLY about which effect sizes are reported, either summary effects OR individual effects. This is NOT based on inclusion criteria—this is only what effect sizes are reported in the results.) • NA = authors did not calculate any effect sizes (this would only be a handful of studies) • Proximal = authors stated that they calculated effect sizes using proximal measures (measures closely aligned to the intervention) • Distal = authors stated that they calculated effect sizes using distal measures (measures not aligned to the intervention)
  • 18. Nelson, Crawford & Hunt (2022) Copyright 17 • CBMs = authors used data from curriculum based measures to calculate effect sizes • Norm-referenced = authors used standardized norm-referenced tests such as TEMA, WJ, SAT-10, SESAT, etc. to calculate effect sizes • Researcher-developed = authors considered researcher created measures to calculate effect sizes, also called experimenter developed. If the measure is only identified as “standardized” with no other information, code this as 0-not able to determine. Outcome Measure Results Information Anecdotal • Use this column to report any specific information. For example, maybe social validity data were only presented for SCD studies, or strategy use was only reported for a handful of studies. Effect Sizes and Results Number Record all effect sizes reported by authors; this includes effect sizes that are summary effects, and for subgroup analyses such as for different content areas, instructional strategies, and groups of students (e.g., LD, MLD, MD). Instructional Strategies For each instructional area that is mentioned in the Results or Discussion, you will select if any results were presented. This coding should happen regardless of what the authors specified was the focus of their synthesis. This can be effect sizes, frequency counts of the number of studies that address a strategy, etc. Variable Code Explanation Components of Select all that apply: Note: Study may state “explicit instruction” or “explicit and systematic Explicit and 0 = no results reported instruction” but they may also state common components such as: Systematic 1 = summary effect sizes modeling, breaking down steps, guided practice and independent practice, Instruction 2 = individual study effect sizes logically sequencing skills. 3 = frequency counts • 0 = No results (summary effects, individual study effects, 4 = other results (e.g., qualitative) qualitative information, or frequency counts) were reported for this instructional strategy. • 1 = Yes, there is a summary effect size for this instructional strategy.
  • 19. Nelson, Crawford & Hunt (2022) Copyright 18 • 2 = yes, there are individual study effect sizes linked with this instructional strategy (could be in text or in a table). • 3 = frequency counts were reported, such as the number of studies in the synthesis that focused on this instructional strategy • 4 = other results including qualitative synthesis of the instructional strategy or individual summaries of studies that used this instructional strategy. Direct Instruction Select all that apply: 0 = no results reported 1 = summary effect sizes 2 = individual study effect sizes 3 = frequency counts 4 = other results (e.g., qualitative) Specifically identified as Direct Instruction as opposed to Explicit and Systematic Instruction. Feedback (corrective, specific, academic, affirmative) Select all that apply: 0 = no results reported 1 = summary effect sizes 2 = individual study effect sizes 3 = frequency counts 4 = other results (e.g., qualitative) This refers to interventions that are focused on considering the effectiveness of forms of feedback to students. Cognitive Strategy Instruction Select all that apply: 0 = no results reported 1 = summary effect sizes 2 = individual study effect sizes 3 = frequency counts 4 = other results (e.g., qualitative) This may include: cognitive strategy instruction, self-monitoring, self- regulation, self-questioning, meta-cognition. Definition from Montague’s work: “the intervention presents a routine for mathematical problem solving that incorporates both cognitive processes and metacognitive strategies for solving problems and utilizes explicit instructional procedures with an emphasis on process modeling and verbalization of the routine during the acquisition stage.” Concrete Representations Select all that apply: 0 = no results reported 1 = summary effect sizes 2 = individual study effect sizes 3 = frequency counts This refers to interventions that focus on using hands-on manipulatives to teach mathematical concepts or procedures.
  • 20. Nelson, Crawford & Hunt (2022) Copyright 19 4 = other results (e.g., qualitative) Visual/Pictorial Representations Select all that apply: 0 = no results reported 1 = summary effect sizes 2 = individual study effect sizes 3 = frequency counts 4 = other results (e.g., qualitative) This refers to interventions that focus on using drawings or visual models to teach mathematical concepts or procedures. These visuals can range from informal (realistic drawings) to formal (abstract representations). CRA Framework Select all that apply: 0 = no results reported 1 = summary effect sizes 2 = individual study effect sizes 3 = frequency counts 4 = other results (e.g., qualitative) Note. This may be referred to as a graduated sequence of instruction. SBI or SI Framework Select all that apply: 0 = no results reported 1 = summary effect sizes 2 = individual study effect sizes 3 = frequency counts 4 = other results (e.g., qualitative) Note, this is a specific framework and may be called “schema-instruction” “schema-based instruction” or “schema broadening instruction.” (though it includes components such as using representations). For the purpose of this review, SI/SBI may also be referred to as “priming the underlying problem structure.” From Powell (general description from a 2013 article, so Asha’s work might look more like the broadening definition used here as well): Schema-based instruction, teaches students to use schematic diagrams to solve word problems. The student reads a word problem, selects a schema diagram into which the word problem fits, and uses the structure of the diagram to solve the problem. Schema-broadening instruction is similar to schema-based instruction in that students read the word problem and select a schema (from the taught schema) to solve word problems. Schema- broadening instruction differs from schema-based instruction because students are taught to transfer their knowledge of problem types to recognize problems with novel features (e.g., different format, additional question, irrelevant information, unfamiliar vocabulary, or information
  • 21. Nelson, Crawford & Hunt (2022) Copyright 20 presented in charts, graphs, or pictures) as belonging to a problem type for which they know a solution.” Peer-Assisted Learning Select all that apply: 0 = no results reported 1 = summary effect sizes 2 = individual study effect sizes 3 = frequency counts 4 = other results (e.g., qualitative) This may also be referred to as peer-mediated instruction, peer-tutoring, or class wide peer-tutoring. Computer- Assisted Learning; Technology; Digital Select all that apply: 0 = no results reported 1 = summary effect sizes 2 = individual study effect sizes 3 = frequency counts 4 = other results (e.g., qualitative) This refers to instructional modes that represent digital learning or computer assisted learning/instruction. Other Anecdotal Please provide the description. How Effectiveness was Measured and Reported • There are a few other codes throughout related to effectiveness in different sections. They are highlighted in blue. Variable Code Explanation EBPs Focus? Select one: This code refers to if the synthesis attempted to identify a practice as an 0 = no evidence-based practice. 1 = yes No = the purpose of the study was not to identify a practice as EBP (this is many of the meta-analyses) Yes = yes, the purpose of the article (usually a quality review) was to identify a practice as EBP Was the practice Select one: If you coded a 1 above, was the practice actually identified as EBP at the identified as NA conclusion of the study? EBP? 0 = no NA = not applicable because you selected a code of ) above 1 = yes
  • 22. Nelson, Crawford & Hunt (2022) Copyright 21 No = the authors determined that the practice was not EBP or there wasn’t enough evidence Yes = according to the results of the study, the practice is EBP Evidence Indicators Anecdotal Copy and paste information about what measure, scale, quality indicators the authors used to determine if the practice was EBP. Some studies will include quality indicators without actually identifying a practice as evidence-based. Only quality indicators used to identify an EBP should be reported here.