The headline numbers are striking enough on their own. Some 54.0 percent of respondents reported positive attitudes toward developing nuclear power for electricity generation in Norway, while 24.5 percent were undecided and 21.5 percent were negative. Men expressed markedly more favorable attitudes than women, with mean attitude scores of 5.08 versus 4.06 on a seven-point scale—a gap of over one full scale point. Perceived advantages of nuclear power slightly outweighed perceived disadvantages across the sample, and the two belief domains were moderately negatively correlated, suggesting that benefits and risks are not simply two ends of one dimension but partially independent evaluative tracks.

Norway is an unusual and informative setting for this kind of research. The country generates 87 percent of its electricity from hydropower, operates no nuclear reactors, and has historically opposed incorporating nuclear energy into national strategy. Yet its ambition to become a low-emission society by 2050 implies substantial growth in electricity demand across transportation, industry, and heating, and recent survey evidence suggests roughly 60 percent of Norwegians express support for nuclear energy. The researchers note that nuclear power is debated there as a prospective addition to an already largely renewable system rather than as a replacement for fossil generation—a framing that plausibly shapes which beliefs matter most to citizens.

The methodological approach departs from traditional attitude research, which typically examines beliefs in isolation or summarizes them as indicators of underlying latent dimensions. Instead, the team drew on the Causal Attitude Network framework, which conceptualizes attitudes as networks of interconnected belief elements. Each of the thirteen beliefs was modeled as a node, and the statistical associations between them—estimated with polychoric correlations suited to ordered rating scales—were modeled as edges. The estimation method, EBICglasso, applies regularization that shrinks weak associations to exactly zero, producing a conservative, interpretable map rather than a tangle of every small correlation. Crucially, the researchers emphasize that edges represent conditional associations, not causal influence.

Network analysis revealed three clusters of interrelated beliefs. A Materialist cluster emphasized economic and self-sufficiency considerations, including job creation, lower electricity prices, and reduced dependency on electricity from abroad. An Environmental cluster encompassed both climate-related benefits and ecological concerns, spanning beliefs about clean electricity production, greenhouse-gas emissions, and impacts on local environments and wildlife. A Burden cluster focused on perceived risks and costs, with terrorism and warfare risk, accident risk, and waste management forming a tightly interconnected group of concerns. The researchers suggest these clusters may reflect common evaluative frameworks citizens use when assessing contested energy technologies: utilitarian economic reasoning, environmental trade-offs, and perceived burdens.

The most structurally prominent belief in the full-sample network was the idea that nuclear power provides a stable source of electricity independent of sun and wind. This node showed connections to beliefs across all three clusters, linking to greenhouse-gas emissions and accident risk within the Environmental cluster, reduced import dependency within the Materialist cluster, and terrorism and warfare risk within the Burden cluster. The pattern suggests that perceived supply stability functions as a cross-cutting belief, weaving together multiple evaluative dimensions rather than belonging to any single domain. By contrast, beliefs about job creation and high construction costs were among the least central nodes in the network.

When the researchers estimated belief networks separately for supporters, undecided respondents, and opponents, a subtle but important pattern emerged. Global connectivity—the overall density of the belief system—was essentially identical across the three attitude groups, and permutation-based network comparison tests confirmed no differences in either connectivity or structure. What distinguished the groups was which beliefs occupied focal positions. Among supporters, the belief in stable energy supply was the most central node, and this was the only node-level group difference that remained significant after correction for multiple comparisons. Among opponents, terrorism and warfare concerns were descriptively most central, though the researchers caution that the negative-only network’s centrality estimates were insufficiently stable to support strong conclusions.

The undecided group proved equally revealing. Contrary to the researchers’ registered expectation, the belief system of undecided respondents was no less connected than those of decided respondents. Descriptively, undecided respondents were predominantly women, somewhat younger than the negative group, and showed agreement levels intermediate between supporters and opponents across both advantages and disadvantages. Notably, 23.3 percent of undecided respondents answered “don’t know” to at least seven of the thirteen belief items, compared with just 1.5 percent of positive respondents. The researchers interpret this pattern as most consistent with relatively weakly developed or weakly crystallized attitudes—closer to what survey methodologists call “nonattitudes” than to firmly held neutral positions—though they acknowledge that cross-sectional data cannot distinguish among uncertainty, ambivalence, indifference, or response tendencies.

The study carries important caveats. The cross-sectional design precludes causal inference about relations among beliefs or between beliefs and overall attitudes, and the researchers explicitly warn that centrality should be read as structural prominence rather than demonstrated causal importance. Recent evidence suggests that central attitudes are not necessarily more effective persuasion targets, so the findings should not be taken as a communication playbook. The belief set also deliberately excluded broader constructs such as political ideology, environmental values, and institutional trust, which prior research—including a Polish network analysis that found political ideology centrally positioned—suggests could occupy influential positions in more comprehensive networks. Data were collected in February 2024, during a period when energy security and electricity prices were salient topics in Europe, so the network structure may not generalize to other time periods.

Despite these limitations, the findings contribute to a growing literature on the social dimensions of energy transitions. The researchers argue that mapping belief configurations clarifies the evaluative frameworks through which contested low-carbon technologies are perceived, and that different segments of the public may approach nuclear energy through different lenses. For public engagement processes, they suggest that a single framing of nuclear energy is unlikely to address the range of concerns and perceived benefits present in the population, and that engagement efforts acknowledging trade-offs across multiple belief domains may be more appropriate than narrow messaging strategies. Future research, they propose, should use longitudinal and experimental designs to test whether changes in specific beliefs propagate to other beliefs and overall attitudes, and whether network connectivity predicts temporal stability as individuals move from undecided to more clearly positive or negative positions.

Subject of Research: The structure of nuclear energy beliefs in Norway: a psychological network analysis

Article Title: The structure of nuclear energy beliefs in Norway: a psychological network analysis

Article References: Kraft, B., Chambon, M., & Kraft, P. (2026). The structure of nuclear energy beliefs in Norway: a psychological network analysis. Frontiers in Sustainable Energy Policy, 5, Article 1860422. https://doi.org/10.3389/fsuep.2026.1860422

Image Credits: AI Generated

DOI: 10.3389/fsuep.2026.1860422

Keywords: structure, nuclear, energy, beliefs, Norway, psychological, network, analysis, scientific research