Experimental Design
We employ a between-subjects design. Respondents are randomly assigned to one of seven treatment arms that result from the combination of three treatment dimensions:
1) No Framing // No Testimonial // N=300
2) Benefits Framing // No Testimonial // N=150
3) Costs Framing // No Testimonial // N=150
4) Benefits Framing // Same gender Testimonial // N=100
5) Benefits Framing // Different gender Testimonial // N=100
6) Costs Framing // Same gender Testimonial // N=100
7) Costs Framing // Different gender Testimonial // N=100
The control group is oversampled (N=300) relative to the individual testimonial arms (N=100 each) to provide sufficient statistical power for pairwise comparisons between each treatment arm and the control, as well as for pooled comparisons of all benefit arms versus all cost arms versus control.
We specify three main analyses, corresponding to the three treatment dimensions:
1) Effect of Content Framing
We test whether benefit or cost framing increases willingness to participate in internet banking training relative to the control group. Specifically, we compare: (a) pooled benefit arms (Arms 2, 4, 5; N=350) vs. control (Arm 1; N=300), (b) pooled cost arms (Arms 3, 6, 7; N=350) vs. control, and (c) non-testimonial benefit arm (Arm 2; N=150) vs. non-testimonial cost arm (Arm 3; N=150) vs. control (Arm 1; N=300). We estimate OLS, logit, and probit regression models of the primary and secondary outcomes on treatment indicators.
2) Effect of Testimonials
We test whether the addition of a testimonial increases the effect of benefit and cost framings. We compare: (a) testimonial benefit arms (Arms 4+5; N=200) vs. non-testimonial benefit arm (Arm 2; N=150), and (b) testimonial cost arms (Arms 6+7; N=200) vs. non-testimonial cost arm (Arm 3; N=150).
3) Effect of Gender Matching
We test whether same-gender testimonials are more effective than different-gender testimonials. We compare: (a) all same-gender arms (Arms 4+6; N=200) vs. all different-gender arms (Arms 5+7; N=200), (b) same-gender benefit arm (Arm 4; N=100) vs. different-gender benefit arm (Arm 5; N=100), and (c) same-gender cost arm (Arm 6; N=100) vs. different-gender cost arm (Arm 7; N=100).
The survey follows a structured sequence of sections:
1. Screening: Age (numeric free text), frequency of internet banking use (5-point scale: never to always), German language proficiency (6-point scale), and gender. Respondents who use internet banking “always” or “frequently”, respondents with insufficient German language skills, and respondents that do not state their gender are screened out, as the intervention targets non- or infrequent users. Respondents reporting diverse/non-binary gender are assigned to the control group since they cannot be randomized into the gender-specific treatment arms.
2. Scenario presentation: Respondents view the randomized invitation flyer from their bank, adapted to the assigned treatment condition.
3. Outcome measurement: Primary and secondary outcome items are collected (see above).
4. Demographics: Highest educational attainment (6 categories), employment status (6 categories), and monthly net household income (6 brackets).
5. Internet banking barriers and attitudes: Reasons for not using internet banking more frequently (multiple choice, max. 3, randomized order), household financial responsibility, technology openness, and general risk attitude.
6. Banking activity: Number of monthly transfers, primary banking channel, distance to nearest branch, frequency of branch visits, and experience with branch closures.
7. Training preferences: Preferred training format (online video, at home with guidance from a trusted person, or in-branch with other customers) and an open-ended question on conditions for regular internet banking use.
8. Information provision: Respondents are presented with a clickable link to a PDF document containing real-world internet banking training resources (e.g., VHS adult education courses). Whether the respondent clicks on this link is recorded as a secondary outcome.