Data and Analysis Framework

Data Collection Structure

Data collection occurs at two points:

Pre-instruction administration (Form A)
Post-instruction administration (Form B)

For each student, domain-level raw scores (0–6 per domain) are recorded.
Student identifiers are anonymized using coded IDs.

In addition to student scores, participating teachers complete a brief pre-instruction declaration identifying one or two domains selected for instructional emphasis.

Growth Calculation

Growth is calculated at the domain level using raw score differences:

Δ Domain Score = Post Score − Pre-Score

Growth is analyzed:

Per student
Per domain
At the class mean level

Total score growth (maximum 24 points) is also calculated descriptively.

Targeted vs Non-Targeted Comparison

To examine instructional alignment, growth is compared across:

Domains declared for instructional emphasis
Domains not declared for emphasis

Mean growth differences between targeted and non-targeted domains are calculated descriptively.

This comparison allows examination of whether domain-informed emphasis corresponds with domain-level change.

Analytical Scope

The pilot employs descriptive statistics only, including:

Mean growth
Standard deviation (optional)
Comparative domain patterns

Given the exploratory nature of the pilot and single-class sample, inferential statistical testing is not conducted at this stage.

Data Transparency

All calculations are performed within a structured spreadsheet framework, including:

Raw data tab
Growth calculation tab
Summary statistics tab
Targeted analysis tab

This structure allows replicability and future expansion to additional classrooms.

Interpretation Boundaries

Results are interpreted cautiously due to:

Limited sample size
Non-randomized design
Teacher-researcher overlap
Short instructional window

The pilot seeks to identify patterns and feasibility rather than establish causal claims.

Several constraints shape the interpretation of findings from the initial pilot implementation.

Single-class implementation:
The pilot study is conducted in a single classroom led by a single instructor. Results, therefore, reflect a localized instructional context and cannot be generalized to broader student populations without further replication.

Limited instructional duration
Instruction occurs once per week over a six to eight week cycle. While sufficient for exploratory analysis of domain-level responsiveness, this limited exposure may constrain the magnitude of observable learning gains.

Teacher–researcher overlap
The instructor conducting the intervention also designed the diagnostic instrument and research model. Although reflective documentation procedures are used to mitigate bias, the dual role introduces potential interpretive influence.

Small sample size
The pilot is designed to test feasibility and instructional alignment rather than produce statistically generalizable results.

Exploratory analytical approach
Domain growth comparisons are descriptive in nature and do not employ inferential statistical testing in the pilot phase.

Data and Analysis Framework

Data Collection Structure

Data collection occurs at two points:

Pre-instruction administration (Form A)

Post-instruction administration (Form B)

For each student, domain-level raw scores (0–6 per domain) are recorded.Student identifiers are anonymized using coded IDs.

In addition to student scores, participating teachers complete a brief pre-instruction declaration identifying one or two domains selected for instructional emphasis.

Growth Calculation

Growth is calculated at the domain level using raw score differences:

Δ Domain Score = Post Score − Pre-Score

Growth is analyzed:

Per student

Per domain

At the class mean level

Total score growth (maximum 24 points) is also calculated descriptively.

Targeted vs Non-Targeted Comparison

To examine instructional alignment, growth is compared across:

Domains declared for instructional emphasis

Domains not declared for emphasis

Mean growth differences between targeted and non-targeted domains are calculated descriptively.

This comparison allows examination of whether domain-informed emphasis corresponds with domain-level change.

Analytical Scope

The pilot employs descriptive statistics only, including:

Mean growth

Standard deviation (optional)

Comparative domain patterns

Given the exploratory nature of the pilot and single-class sample, inferential statistical testing is not conducted at this stage.

Data Transparency

All calculations are performed within a structured spreadsheet framework, including:

Raw data tab

Growth calculation tab

Summary statistics tab

Targeted analysis tab

This structure allows replicability and future expansion to additional classrooms.

Interpretation Boundaries

Results are interpreted cautiously due to:

Limited sample size

Non-randomized design

Teacher-researcher overlap

Short instructional window

The pilot seeks to identify patterns and feasibility rather than establish causal claims.

Limited instructional durationInstruction occurs once per week over a six to eight week cycle. While sufficient for exploratory analysis of domain-level responsiveness, this limited exposure may constrain the magnitude of observable learning gains.

Teacher–researcher overlapThe instructor conducting the intervention also designed the diagnostic instrument and research model. Although reflective documentation procedures are used to mitigate bias, the dual role introduces potential interpretive influence.

Small sample sizeThe pilot is designed to test feasibility and instructional alignment rather than produce statistically generalizable results.

Exploratory analytical approachDomain growth comparisons are descriptive in nature and do not employ inferential statistical testing in the pilot phase.

eDash Tutoring Services

What is eDash Tutoring?

For each student, domain-level raw scores (0–6 per domain) are recorded.
Student identifiers are anonymized using coded IDs.

Limited instructional duration
Instruction occurs once per week over a six to eight week cycle. While sufficient for exploratory analysis of domain-level responsiveness, this limited exposure may constrain the magnitude of observable learning gains.

Teacher–researcher overlap
The instructor conducting the intervention also designed the diagnostic instrument and research model. Although reflective documentation procedures are used to mitigate bias, the dual role introduces potential interpretive influence.

Small sample size
The pilot is designed to test feasibility and instructional alignment rather than produce statistically generalizable results.

Exploratory analytical approach
Domain growth comparisons are descriptive in nature and do not employ inferential statistical testing in the pilot phase.