Lars Even Egner

Lars Even Egner
Norwegian University of Science and Technology | NTNU · Department of Psychology

Master of Science
Currently researcher at Institute for Energy Technology, Norway.

About

9
Publications
2,824
Reads
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42
Citations
Citations since 2016
8 Research Items
42 Citations
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Publications

Publications (9)
Article
Full-text available
As the heating of private households represents 16.5% of all EU final energy consumption, household energy retrofitting is a central part of the solution for the ongoing climate crisis. However, ABM models have not sufficiently been explored as a tool for designing policies for reducing household heating energy consumption through energy retrofitti...
Article
Full-text available
Understanding free-riding is central to effective household energy retrofit subsidy policymaking. We replicate a Swiss study on free-riding prevalence in household energy retrofitting in Norway (Studer & Rieder, 2019). Compared to the original studies free-riding prevalence of 50%, we find only 10%, indicating that Norwegian free-riding is low. Sim...
Article
Full-text available
Energy Justice (EJ) and particularly Energy equality (EE), arguably a radical conceptualization of energy justice, advocated for distributional justice and policies addressing distributional inequalities. Distributional policies are known to be contentious and often raise debates on the opportunity to interfere with the free-market allocation of go...
Article
Energy retrofitting of private housing is fundamental to reducing the environmental footprint of the building stock, and energy efficiency policies are based on assumptions of the effects of retrofitting, including those on further retrofitting, also called temporal spillover. No study has directly investigated the impact of energy retrofitting on...
Article
Full-text available
Natural environments have been shown to trigger psychological and physiological restoration in humans. A new framework regarding natural environments restorative properties is proposed. Conditioned restoration theory builds on a classical conditioning paradigm, postulating the occurrence of four stages: (i) unconditioned restoration, unconditioned...
Article
Full-text available
The word length effect shows a connection between word length and working memory performance. Although the relationship between digit verbal length and digit span has been investigated between languages, it has not been investigated within a language. It was hypothesized that this effect can be shown as a connection between the prevalence of digits...
Thesis
Full-text available
Psychological and physiological restoration have shown to occur in environments containing nature, such as forests, parks and rooms with a window view to nature. The thesis explores the option of explaining restoration through a two­step conditioning model, named the conditioned restoration theory. Conditioned restoration theory suggests that in a...
Research
Full-text available
This program generates random digits and arranges them in cultur-fair digit span tests with several rules, decribed in Egner, Sütterlin & Lugo (2016). The application is html-based and can be run on every internet browser. It generates random digits and arranges them in digit span tests with several rules. The probability of one digit appearing is...
Article
Full-text available
Creating an optimized health care environment to maximize the probability and magnitude of placebo effects draws on a number of well-researched mechanisms such as the patient's positive expectation toward treatment outcome. Patient-centered communication styles influence expectations and can thus be considered as a form of supplemental treatment. U...

Questions

Question (1)
Question
The survey dataset I'm currently working on has "branching", where for example respondents that answer that they did not receive subsidies for item A, will not answer questions about item A, and those who answer that they did not receive subsidies for item B, will not answer for item B. This leaves intentionally systematic missing data.
As with all surveys, there are also other missing data, most likely missing at random. The plan is to conduct multiple imputations on the "real" missing data, but I can not get the analysis to "ignore" the intentionally missing systematic data (Working in SPSS) in a logical way.
As I understand to conduct the imputations on all missing data and then delete the intentionally missing data is not an option. I can conduct several multiple imputations and later combine the datasets, but this too has limitations, as I will have to group the imputations by respondents (ie. only people that received subsidies for only A, then do the same analysis for only B, then finally A and B), significantly lowering N. Or I could group them by variable, (impute only data in section A, then section B) but this ignores all connections between A and B, which likely exists, resulting in worse predictions.
Has anyone encountered similar issues, and if so, what was your solution?

Network

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Projects

Projects (2)
Project
Research the behavior of household energy retrofitting, with a focus on policymaking that should increase the rate of retrofitting in households. Specific topics include spillover effect, serial-retrofitting, motivational and technical lock-inn, subsidy free-riding, and distribution of subsidies according to income group. Methods include survey research with appropriate statistical methods and agent-based modeling to simulate behavioral change. Ph.D. project as part of the Horizon 2020 project ‘Social innovation Modelling Approaches to Realizing Transition to Energy Efficiency and Sustainability’ (SMARTEES).