The conceptual foundation of the scale rests on a well-documented tension in moral psychology. Classical theories of conscience, stretching back to Freud’s account of the superego and forward through Kohlberg’s stages of moral development, describe conscience as an internal monitor that generates discomfort when we fail to meet our own ethical standards. Modern research on moral self-licensing has shown that people often resolve that discomfort through small, cheap tokens of virtue rather than costly action. The digital environment, the researchers argue, is a near-perfect engine for this substitution. A like takes less than a second, a share spreads the appearance of engagement to an entire social network, and neither requires the sacrifice, money, time, or sustained attention that traditional moral responsibility demands. Earlier scholarship on slacktivism and clicktivism, including work by Evgeny Morozov and empirical studies by Kristofferson and colleagues, described the behavior but lacked a standardized way to quantify the underlying moral experience.

Building a measurement tool for something as slippery as online moral relief required the full apparatus of contemporary psychometrics. The team began by generating an initial pool of twenty-two candidate items and submitting them to a panel of ten domain experts for content validity testing using the Lawshe technique, a quantitative method in which experts rate each item as essential, useful, or not necessary. Items survive only if the proportion of experts calling them essential exceeds a critical threshold, which for a ten-expert panel is a content validity ratio of 0.62. Nineteen of the twenty-two items cleared that bar, and the overall content validity index reached 0.92, a figure indicating strong expert consensus that the items genuinely sample the domain of digital moral behavior. Three items fell short and were discarded before any participant data were collected, a detail that matters because content validity failures caught early prevent the accumulation of noisy, uninterpretable responses later.

With the item pool refined, the researchers turned to a sample of 741 participants distributed across multiple groups for the different stages of validation. Exploratory factor analysis, the statistical technique that uncovers latent dimensions underlying patterns of item correlations, revealed a clean two-factor structure that was then trimmed to eleven items. The first and dominant factor, labeled Moral Substitution, contains six items and accounts for 60.4 percent of the variance on its own. Its items probe the internal experience of moral relief: calming one’s conscience through online reactions, feeling as though a moral duty has been discharged by taking a public stance, or easing inner discomfort by commenting on an issue. The second factor, Symbolic Conscience, contains five items describing the outward behaviors themselves, such as liking posts, contributing to the circulation of content, and displaying one’s stance through shares. Together the two factors explain 69.6 percent of the total variance, an unusually high figure for a social-psychological scale and one that suggests the items cluster tightly around a coherent construct.

Confirmatory factor analysis on an independent sample tested whether the two-factor model, derived from the exploratory stage, would hold up when imposed on fresh data. The model produced acceptable goodness-of-fit indices, meaning the covariance pattern among the eleven items was statistically consistent with the proposed structure rather than merely a product of the first sample’s idiosyncrasies. The researchers also ran a Tukey test of additivity and Hotelling’s T-squared test to verify that responses to the items behaved additively and that the items discriminated meaningfully between people. A classic item-discrimination check, comparing participants in the upper and lower 27 percent of the score distribution, produced enormous effect sizes, with Cohen’s d values between 5.31 and 6.51 for the two factors, indicating that high and low scorers are separated by vast margins and that the scale has no trouble detecting individual differences.

Reliability, the question of whether the instrument produces consistent measurements, was assessed with three complementary methods. Cronbach’s alpha, the traditional index of internal consistency, came out at 0.94 for the total scale, with the Moral Substitution factor at 0.94 and Symbolic Conscience at 0.91. McDonald’s omega, a more modern coefficient that relaxes the assumption that all items contribute equally to the latent trait, matched alpha at 0.94, which strengthens confidence that the high consistency is not an artifact of the alpha formula itself. Test-retest analysis further showed that scores remain stable over time, as expected for a trait-like disposition. Scores on the final instrument range from 11 to 55, with higher totals indicating a stronger tendency to experience and perform digital conscience behaviors, and the five-point Likert response format runs from never to always with no reverse-scored items, keeping administration simple.

Validity evidence extended well beyond the factor structure. Convergent and discriminant validity analyses, evaluated against established criteria such as the Fornell-Larcker standard and the HTMT criterion, confirmed that the two factors are related but empirically distinct. Measurement invariance testing, which checks whether a scale measures the same construct across different groups, showed that the instrument functions equivalently for men and women and across levels of social media usage duration, a prerequisite for any meaningful group comparisons. Criterion validity produced perhaps the most conversation-worthy finding: digital conscience scores correlated positively and significantly with social media addiction, with the total scale correlating at 0.429 and the Moral Substitution factor at 0.422. In plain terms, people who most often use online gestures to soothe their conscience are also more likely to show signs of problematic social media use, a link the authors interpret as evidence that digital conscience behaviors are woven into the habitual fabric of platform engagement.

The demographic analyses add texture to the picture. Within the tested sample, digital conscience scores did not differ significantly by gender, marital status, education level, or daily internet use duration. The one variable that did produce a significant difference was social media usage duration: participants spending more than three hours per day on social platforms scored higher on digital conscience than lighter users, with a modest effect size. That pattern fits the theoretical account, because the behaviors the scale measures, likes, shares, and comments, are only available to people who are actually on the platforms, and heavier users have more opportunities to convert moral discomfort into symbolic action. The researchers caution, appropriately, that these are correlational group differences and not evidence about causation.

What makes the NOPAPEN scale potentially important beyond the laboratory is the window it opens onto a behavior most of us perform daily without reflection. The English version of the instrument includes items such as I calm my conscience through the reactions I express online and I share posts so that I can feel that I have done something as well, phrasings that translate a vague cultural anxiety about clicktivism into measurable, testable claims. Researchers in moral psychology, digital ethics, and public health can now examine whether digital conscience predicts real-world disengagement, whether it interacts with moral licensing in offline contexts, and whether interventions can redirect the impulse toward substantive action. The authors note that the study was conducted under ethical approval from Artvin Çoruh University in accordance with the Declaration of Helsinki, that the data are available from the corresponding author on reasonable request, and that a generative AI tool was used only for language editing. As platforms continue to compress moral life into a feed of reactions, having a validated ruler for the conscience-soothing gesture may prove one of the more quietly consequential measurement advances of the decade.

Subject of Research: Development and psychometric validation of a scale measuring digital conscience, the moral relief gained from symbolic online actions

Article Title: Development of the NOPAPEN digital conscience scale and examination of its psychometric properties

Article References: Akçam, A., Kanbay, Y., & Arkan, B. (2026). Development of the NOPAPEN digital conscience scale and examination of its psychometric properties. Current Psychology, 45(20), Article 1592. https://doi.org/10.1007/s12144-026-10113-9

Image Credits: AI Generated

DOI: 10.1007/s12144-026-10113-9

Keywords: digital conscience, psychometrics, scale development, slacktivism, clicktivism, moral psychology, social media addiction, confirmatory factor analysis, measurement invariance, moral licensing, digital ethics, Current Psychology