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Impact Evaluation of the NPower Tech Fundamentals Program
Last registered on March 23, 2021

Pre-Trial

Trial Information
General Information
Title
Impact Evaluation of the NPower Tech Fundamentals Program
RCT ID
AEARCTR-0007404
Initial registration date
March 22, 2021
Last updated
March 23, 2021 6:12 AM EDT
Location(s)

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Primary Investigator
Affiliation
University of Notre Dame
Other Primary Investigator(s)
PI Affiliation
University of Colorado Boulder
PI Affiliation
University of Colorado Boulder
Additional Trial Information
Status
On going
Start date
2020-11-02
End date
2025-12-31
Secondary IDs
Abstract
We will implement a randomized controlled trial to evaluate the impact of the NPower Tech Fundamentals program. NPower Inc. works with young adults and veterans and their spouses to create career pathways into the information technology industry through training and job placement. The population served by NPower is economically disadvantaged and composed of racial and ethnic groups that are underrepresented in technology careers.
External Link(s)
Registration Citation
Citation
Barham, Tania, Brian Cadena and Patrick Turner. 2021. "Impact Evaluation of the NPower Tech Fundamentals Program." AEA RCT Registry. March 23. https://doi.org/10.1257/rct.7404-1.0.
Sponsors & Partners

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Experimental Details
Interventions
Intervention(s)
At the beginning of the program, NPower students participate in a tuition-free, 16-week Tech Fundamentals training course. Students participate in instructor-led training and are given the opportunity to work toward industry-recognized certification. Throughout the program, they are exposed to mentors from the IT industry, complete employment readiness workshops, and receive on-going support from a social support manager who helps them identify and overcome barriers to program completion. Graduates of the training course are placed in a 7-week paid internship with a local company to further develop hard and soft skills. Upon completion, program alumni receive job placement assistance to help them match to an entry level IT position with top employers in the area.
Intervention Start Date
2021-01-04
Intervention End Date
2022-12-31
Primary Outcomes
Primary Outcomes (end points)
Quarterly employment and earnings during the two years following application
An indicator for annual earnings above $30,000 two years after application
Primary Outcomes (explanation)
Secondary Outcomes
Secondary Outcomes (end points)
We will endeavor to link study participants to additional administrative data sets to measure secondary outcomes. If possible, these will include post-secondary education data from the National Student Clearinghouse, SNAP and TANF receipt data, Medicaid participation and claims, credit bureau records, address histories from Infutor data solutions, and LinkedIn utilization and network data.
Secondary Outcomes (explanation)
Experimental Design
Experimental Design
We will implement stratified randomization after individuals complete the online application. Randomization will be stratified based on site (Harlem and Dallas), gender (male vs. female/other), and educational attainment (HS diploma/GED vs. some college/Associates vs. currently enrolled/Bachelors).

Those who are assigned to the treatment group will be invited to interview with program staff. Based on their performance in the interviews, treatment group members will either be (i) invited to enroll in the program, (ii) placed on a wait list, or (iii) informed they were not accepted into the program. Those who are assigned to the control group will not be invited to continue the process. The assigned treatment status thus represents an intent-to-treat indicator among NPower applicants eligible for interview.
Experimental Design Details
Not available
Randomization Method
The recruitment manager will review the application for eligibility and will determine whether the applicant should be invited to interview with program staff. The recruitment manager will enter eligible and suitable applicants into a lottery to determine treatment status. We will generate a series of random treatment assignments to ensure equal treatment probability (two-thirds) across strata, and assign an applicant the next treatment status on the list at the time they enter the lottery.
Randomization Unit
Individual
Was the treatment clustered?
No
Experiment Characteristics
Sample size: planned number of clusters
1500 individuals
Sample size: planned number of observations
1500 individuals
Sample size (or number of clusters) by treatment arms
1000 individuals in treatment
500 individuals in control
Minimum detectable effect size for main outcomes (accounting for sample design and clustering)
We assume a post-randomization take-up rate of 54 percent (share of the treatment group who enroll in the program), 80 percent power, and a type-1 error rate of 5 percent. We base control group means and standard deviations on the reported outcomes in the Year Up evaluation (Fein and Hamadyk,2018). Under these assumptions we are powered to detect the following effects under simple random assignment: Quarterly Earnings MDE: $1,022 increase among those who enrolled in the program; $552 increase for the entire treatment group (mean = $3,600; SD = $3,600) Indicator for earning more than $30,000 per year: 10.1 percentage point increase among those who enrolled in the program; 5.5 percentage point increase for the entire treatment group (mean = 0.15)
IRB
INSTITUTIONAL REVIEW BOARDS (IRBs)
IRB Name
University of Notre Dame Institutional Review Board
IRB Approval Date
2019-12-20
IRB Approval Number
19-12-5708
Analysis Plan

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