Financial incentives or app-based support: improving academic progress through a communication intervention

Second semester students from Norwegian higher education institutions receive an email from SELF with either
1) a gain-framed message highlighting the incentives in the student financing system for credit completion,
2) a loss-framed version of the same information or
3) an invitation to participate in a study success program delivered through a web application.
The control group is not contacted. While treatments 1) and 2) are delivered in April, treatment 3 starts in January.

2026-01-19

2026-06-19

We consider the following set of outcomes at the end of the second semester:
(1) Three separate measures of academic performance:
- Administrative records on completed credits,
- Missed exams and
- grade average

(2) Two survey measures on academic stress.
- Stress symptoms check list (Strand et al. 2003)
- Academic stress scale (Murberg, T. A., & Bru, E. 2004, Rege et al. 2025)

Completed credits are based on the institutions reporting to the Norwegian State Educational Loan Fund. All Norwegian higher education institutions are obliged to report this and there is a uniform system for the reporting across institutions. The Norwegian State Educational Loan fund convert student loans to grants based on the number of credits completed and thus this is considered a reliable source of information. Students who do not have any credits registered are assumed to not have completed any courses that semester and will be coded as zero.

Information about exam participation and performance is obtained from the exam records of the Norwegian Directorate of Higher Education. Observations are at the exam level, but we aggregate them to individual-semester level.

Missed exams are measured by the number of exams the student was registered for, but for which the student did not meet. Students can sign off the course two to three weeks before the exam, and if they do so they will not be registered as not met.

The performance on the exam is captured by the student’s grade. Norwegian higher education use one of two grading schemes. (1)Letter grades between A and F, where A is the highest grade, E is the lowest passing grade, and F is failed. These grades are transformed to the numbers 5 (A) to 0 (F) before computing the grade average. (2) Pass/fail. This latter grade scale applied to about 19 percent of the exam observations in the pilot study. Grade average is computed as the average grade of exams with a letter grade, and exams with Pass/fail are set to missing. Passed courses are captured by completed credits.

Academic stress:
The measures for academic stress is based on Murberg and Bru (2004) and Rege et al. (2025) and the stress symptoms check list (Strand et al. 2003). Exact question wording in the survey will be uploaded as an attachment to this pre-analysis plan prior to data collection. The items within each survey measure will be aggregated by taking their unweighted averages.

Based on survey measures:
Study behaviour:
(1) Self-reported hours spent on study activities (self-study and lectures) per week
(2) Self-reported planning, commitment and preparedness (Delavande, 2022)
(3) Use of study strategies and division of self-study time across strategies (Delavande, 2022)

Mindset
(4) Stress mindset (Yeager et al, 2022)
(5) Learning mindset (based on Fixed mindset in Yeager et al 2022)

Financial incentives awareness
(6) Financial incentives as motivational factor during the semester and knowledge about the role of credits for grant acquisition) (researcher developed)

Measure (1) is relevant for all treatment arms, measures (2)–(5) relate primarily to components of T3, and measure (6) relates to treatments T1 and T2.
The exact survey items will be uploaded as an attachment to this pre-analysis plan prior to data collection.

We conduct a person randomized RCT with around 25 000 first year students at Norwegian higher education institutions in the spring semester 2026. These students receive an email from the Norwegian Student Loan Fund. Depending on the treatment students receive information about the incentive structure they are facing when having a student loan or receive an invitation to participate in an online study success program, providing them with information on how to study more effectively and handle stress better. Students in the control group are not contacted. We observe administrative outcomes at the end of the semester and also collect survey outcomes on stress.

Not available

Conducted by the National Student educational Loan fund

student

No

Approx. 25000 students

Approx. 25000 students

T1: 4000
T2: 4000
T3: 6000+1000 in test launch
T3b: 6000
Control group (T0): approx. 4000 (remainder of population)

We conduct power analysis using optimal design software aiming for a power of 80% and a false discovery rate (alpha) of 5%. For H1, we compare the pooled T1 & T2 (N = 8000) to the control group (N=4000). This sample gives us a MDES of 0.06 standard deviations after correcting for the imbalanced group size. For H2, we compare the pooled T3 (N = 13 000) to the control group (N=4000). This sample gives us a MDES of 0.05 standard deviations after correcting for the imbalanced group size. For H3, we compare the T1 (N = 4 000) to the control T2 (N=4000). This sample gives us a MDES of 0.064 standard deviations. For H4, we compare the T3a (N = 7 000) to the control T3b (N=6000). This sample gives us a MDES of 0.05 standard deviations. For H5, we compare the pooled T1 & T2 (N = 8000) to the pooled T3 (N=13 000). This sample gives us a MDES of 0.04 standard deviations after correcting for the imbalanced group size. For the survey outcomes, we, conservatively, expect a response rate of 10%. Adjusting the sample size accordingly, assuming equal participation accross treatments leads to the following MDES using the camparisons outlined above. For H1, we compare the pooled T1 & T2 (N = 800) to the control group (N=400). This sample gives us a MDES of 0.19 standard deviations after correcting for the imbalanced group size. For H2, we compare the pooled T3 (N = 1 300) to the control group (N=400). This sample gives us a MDES of 0.16 standard deviations after correcting for the imbalanced group size. For H3, we compare the T1 (N = 400) to the control T2 (N=400). This sample gives us a MDES of 0.20 standard deviations. For H4, we compare the T3a (N = 700) to the control T3b (N=600). This sample gives us a MDES of 0.16 standard deviations. For H5, we compare the pooled T1 & T2 (N = 800) to the pooled T3 (N=1300). This sample gives us a MDES of 0.13 standard deviations after correcting for the imbalanced group size. We expect to improve power with the addition of control variables