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	<title>structural equation model &#8211; Science</title>
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	<title>structural equation model &#8211; Science</title>
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		<title>Moral Duty and Inner Drive Double the Power of Energy-Saving Predictions at Work</title>
		<link>https://scienmag.com/moral-duty-and-inner-drive-double-the-power-of-energy-saving-predictions-at-work/</link>
		
		<dc:creator><![CDATA[Violet Maxwell]]></dc:creator>
		<pubDate>Wed, 07 Oct 2026 10:55:30 +0000</pubDate>
				<category><![CDATA[Earth Science]]></category>
		<category><![CDATA[behavioral psychology and eco-friendly habits]]></category>
		<category><![CDATA[cross-cultural energy conservation studies]]></category>
		<category><![CDATA[Discover Sustainability]]></category>
		<category><![CDATA[employee decision-making on energy use]]></category>
		<category><![CDATA[energy conservation]]></category>
		<category><![CDATA[energy-saving behavior]]></category>
		<category><![CDATA[intrinsic motivation]]></category>
		<category><![CDATA[moral duty and environmental responsibility]]></category>
		<category><![CDATA[moral motivation and energy efficiency]]></category>
		<category><![CDATA[moral norm]]></category>
		<category><![CDATA[perceived behavioral control]]></category>
		<category><![CDATA[personal satisfaction and environmental behavior]]></category>
		<category><![CDATA[prosocial behavior]]></category>
		<category><![CDATA[psychological factors influencing energy-saving actions]]></category>
		<category><![CDATA[social norms and energy conservation]]></category>
		<category><![CDATA[structural equation model]]></category>
		<category><![CDATA[subjective norm]]></category>
		<category><![CDATA[subsidized energy]]></category>
		<category><![CDATA[Theory of Planned Behavior]]></category>
		<category><![CDATA[Theory of Planned Behavior in sustainability]]></category>
		<category><![CDATA[university faculty and staff]]></category>
		<category><![CDATA[workplace behavior]]></category>
		<category><![CDATA[workplace energy conservation]]></category>
		<category><![CDATA[workplace sustainability practices]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=244133</guid>

					<description><![CDATA[Researchers found that adding moral norm and intrinsic motivation to the Theory of Planned Behavior nearly doubled the model's ability to predict university employees' intentions to conserve energy at work.]]></description>
										<content:encoded><![CDATA[<p>Why do some employees diligently switch off lights, unplug chargers, and shut down computers at the end of the day while others walk away without a second thought? A new study published in Discover Sustainability suggests that the answer lies less in what colleagues or managers expect and more in what employees believe is morally right and what they personally find satisfying. Researchers led by Yadgar Momenpour and Shahla Choobchian of Tarbiat Modares University in Tehran, working with colleagues at Shiraz University in Iran and Martin Luther University Halle-Wittenberg in Germany, set out to test whether the most widely used psychological model of human decision-making could be upgraded to better explain energy conservation intentions in the workplace.</p>
<p>The framework at the heart of the study is the Theory of Planned Behavior, or TPB, a model developed by social psychologists that has dominated behavioral research for decades. In its classic form, the theory proposes that a person&#8217;s intention to perform a behavior is driven by three factors: attitude, which captures how favorably the person evaluates the behavior; subjective norm, which reflects perceived social pressure from important others; and perceived behavioral control, which measures how easy or difficult the person believes the behavior to be. Intentions, in turn, are considered the most immediate psychological antecedents of actual behavior. Applied to energy conservation, the model asks whether employees who view saving energy as beneficial, feel encouraged by people whose opinions they value, and believe they have the resources and opportunity to act are more likely to intend to conserve.</p>
<p>While the TPB has been applied extensively to energy-saving behavior among university students, the authors identified a striking gap: comparatively little research has examined other university stakeholders, particularly faculty members and administrative staff. This matters because universities are large, energy-intensive organizations filled with laboratories, offices, lecture halls, and computing facilities, and their employees make countless small decisions every day that collectively shape the institution&#8217;s energy footprint. Understanding what drives those decisions among the people who occupy these buildings for years, rather than for the short span of a degree program, could unlock cost-effective strategies for reducing organizational energy consumption.</p>
<p>The study was conducted in a context where energy is subsidized, meaning that direct financial incentives to conserve are limited. This setting is theoretically important. In countries or organizations where electricity prices are kept artificially low, the usual economic levers that encourage conservation are weakened, and psychological drivers may carry proportionally more weight. The researchers reasoned that in such subsidized-energy contexts, the standard TPB variables might not tell the whole story, and that additional constructs drawn from moral psychology and motivation science could fill the explanatory gap.</p>
<p>To test this, the team extended the classic model with two constructs. The first is moral norm, sometimes called personal norm, which captures an individual&#8217;s sense of ethical obligation to act. In this study, moral norm was measured through items asking whether employees felt it was their moral duty to switch off unnecessary lights and devices at the end of the working day, whether such actions were part of their ethical code, whether they felt obligated to prevent colleagues from leaving equipment running, and whether they experienced guilt when failing to do so. The second addition is intrinsic motivation, the drive to perform a behavior because it is inherently satisfying or chosen freely rather than externally rewarded. Employees were asked whether they reduced energy use because they had chosen to, because they believed it beneficial, and whether they felt pleasure and satisfaction when turning off unnecessary equipment.</p>
<p>The results were dramatic. The original TPB model, containing only attitude, subjective norm, and perceived behavioral control, explained 30 percent of the variance in employees&#8217; energy conservation intentions. That is a respectable figure by behavioral science standards, but when the researchers added moral norm and intrinsic motivation to the model, the explained variance rose to 54 percent, a near-doubling of predictive power. In statistical terms, the two new constructs accounted for nearly a quarter of all variance in intention beyond what the classic variables captured, demonstrating that the psychological machinery behind workplace energy conservation is substantially richer than the standard model assumes.</p>
<p>Equally revealing was which variables mattered in the extended model. All constructs except subjective norm were significantly associated with energy conservation intention. In other words, employees&#8217; own positive evaluations of saving energy, their confidence in their ability to act, their sense of moral obligation, and their intrinsic motivation all predicted stronger intentions to conserve, but the perceived expectations of influential others did not. The authors are careful to interpret this nuance. Rather than concluding that subjective norms are universally unimportant, they argue that the influence of social pressure may be contingent upon organizational and contextual conditions. In a subsidized-energy environment where conservation is not a salient social cause, the expectations of colleagues and family may simply carry less weight than personal conviction.</p>
<p>The measurement instruments themselves offer a window into the concrete behaviors at stake. Energy conservation intention was assessed through specific plans for the coming week: turning off office lights when leaving an empty room, unplugging a laptop charger once the battery is full, switching off a fan when departing, and suggesting energy-saving practices to colleagues. Attitude items framed these same actions as important, helpful, beneficial to the environment and the university, and responsible. Perceived behavioral control probed whether conservation methods were difficult, whether employees could turn off unnecessary appliances, and whether they had the resources, time, and opportunity to do so. This behavioral specificity grounds the abstract psychological constructs in the mundane, repeated choices that determine a building&#8217;s daily electricity draw.</p>
<p>The practical implications extend well beyond academia. For managers, planners, and sustainability officers, the findings suggest that campaigns built purely on social messaging, telling employees that others expect them to save energy, may underperform in contexts like the one studied. Instead, interventions that activate moral reasoning, for example by framing energy waste as an ethical failure with consequences for the institution and the environment, and those that cultivate intrinsic satisfaction, perhaps by giving employees autonomy over their conservation choices and recognizing the personal value of their actions, are likely to be more effective. Because moral norms and intrinsic motivation are internal states, they can potentially be nurtured through communication, education, and workplace culture rather than through expensive pricing mechanisms or infrastructure upgrades, making them attractive tools for cost-effective demand reduction.</p>
<p>Theoretically, the study contributes a more context-sensitive framework for understanding workplace conservation behavior. It demonstrates that in subsidized-energy settings where direct financial incentives are limited, moral norm and intrinsic motivation substantially enhance the explanatory power of the TPB and explain additional variance in intentions beyond that accounted for by subjective norm. The research, approved by the Research Ethics Committee of Tarbiat Modares University and conducted with informed consent under the Declaration of Helsinki, received no specific external funding. As universities and other large organizations worldwide confront rising energy costs and climate commitments, the message from this work is clear: the path to a lower-carbon workplace may run not through peer pressure but through conscience and the quiet satisfaction of doing the right thing, one switched-off light at a time.</p>
<p><strong>Subject of Research:</strong> Psychological predictors of workplace energy conservation intentions among university faculty and staff using an extended Theory of Planned Behavior model</p>
<p><strong>Article Title:</strong> Expanding the theory of planned behavior to better predict energy conservation intentions in the workplace</p>
<p><strong>Article References:</strong> Expanding the theory of planned behavior to better predict energy conservation intentions in the workplace. (n.d.). <a href="https://doi.org/10.1007/s43621-026-04572-0" rel="noopener noreferrer">https://doi.org/10.1007/s43621-026-04572-0</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s43621-026-04572-0" rel="noopener noreferrer">10.1007/s43621-026-04572-0</a></p>
<p><strong>Keywords:</strong> energy conservation, Theory of Planned Behavior, moral norm, intrinsic motivation, workplace behavior, university faculty and staff, subjective norm, perceived behavioral control, subsidized energy, structural equation model, prosocial behavior, Discover Sustainability</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">244133</post-id>	</item>
		<item>
		<title>How Ethiopian Students Learn and What Drives Them: New Study Links Styles and Motivation to Achievement</title>
		<link>https://scienmag.com/how-ethiopian-students-learn-and-what-drives-them-new-study-links-styles-and-motivation-to-achievement/</link>
		
		<dc:creator><![CDATA[Glenn Wilkins]]></dc:creator>
		<pubDate>Mon, 21 Sep 2026 01:05:48 +0000</pubDate>
				<category><![CDATA[Psychology & Psychiatry]]></category>
		<category><![CDATA[academic achievement]]></category>
		<category><![CDATA[academic achievement predictors]]></category>
		<category><![CDATA[challenges in Ethiopian secondary schools]]></category>
		<category><![CDATA[classroom instruction]]></category>
		<category><![CDATA[educational psychology]]></category>
		<category><![CDATA[Ethiopia]]></category>
		<category><![CDATA[Ethiopian secondary education]]></category>
		<category><![CDATA[extrinsic motivation]]></category>
		<category><![CDATA[gender differences in motivation and learning]]></category>
		<category><![CDATA[impact of teaching approaches on student performance]]></category>
		<category><![CDATA[influence of curriculum reforms on student outcomes]]></category>
		<category><![CDATA[intrinsic motivation]]></category>
		<category><![CDATA[learning styles]]></category>
		<category><![CDATA[Motivation]]></category>
		<category><![CDATA[motivation and learning styles in academic success]]></category>
		<category><![CDATA[role of individual differences in education]]></category>
		<category><![CDATA[secondary school students]]></category>
		<category><![CDATA[statistical analysis of educational data]]></category>
		<category><![CDATA[structural equation model]]></category>
		<category><![CDATA[structural equation modeling in education]]></category>
		<category><![CDATA[student diversity]]></category>
		<category><![CDATA[student learning styles]]></category>
		<category><![CDATA[student motivation factors]]></category>
		<category><![CDATA[VARK]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=204860</guid>

					<description><![CDATA[A structural equation modeling study of 382 secondary school students in Ethiopia's Basketo zone finds that both VARK learning styles and motivation are significantly associated with students' perceived academic achievement.]]></description>
										<content:encoded><![CDATA[<p>A new study from southern Ethiopia offers a detailed statistical portrait of how secondary school students learn, what motivates them, and how those two forces combine to shape the academic outcomes they perceive for themselves. Researchers at Jimma University surveyed 382 students in the Basketo zone administration, 206 boys and 176 girls selected through systematic random sampling, and then subjected the resulting data to a structural equation model, a statistical framework that allows scientists to test whether an entire hypothesized network of relationships fits the observed data. Their conclusion, published in the journal Discover Psychology, is that both learning styles and motivation stand in a significant association with students&#8217; perceived academic achievement, and that these individual differences deserve far more attention in classrooms than they typically receive.</p>
<p>The research team, composed of Abebe Selko Atilbabo, Aschalew Terefe Refu, and Fisseha Mikre Weldmeskel, set out to address a persistent problem in Ethiopian secondary education: many students continue to perform poorly despite the introduction of various innovative teaching approaches over recent years. Curriculum reforms, new pedagogies, and teacher training programs have all been deployed, yet achievement levels in many secondary schools remain a significant concern for educators and policymakers alike. The authors argue that one reason these interventions may fall short is that they often overlook two fundamental sources of student diversity: the sensory and cognitive preferences through which students prefer to take in information, and the motivational patterns that energize and sustain their effort.</p>
<p>To measure learning preferences, the researchers turned to one of the most widely used frameworks in educational psychology, the VARK model proposed by Neil Fleming. VARK sorts learners into categories based on their preferred sensory channel: Visual learners, who favor diagrams, charts, and spatial representations; Aural learners, who learn best through listening and discussion; Read/Write learners, who prefer text-based input and output; and Kinesthetic learners, who thrive on hands-on experience, movement, and practice. Students in the Basketo zone sample completed instruments assessing where they fell within this taxonomy, providing the researchers with a structured picture of how differently the same classroom material can be received by different students sitting side by side.</p>
<p>Motivation was assessed alongside learning style because, as the authors note, it is widely recognized as a key factor associated with academic outcomes. Educational psychologists typically distinguish between intrinsic motivation, in which students engage with learning for its own sake out of curiosity or interest, and extrinsic motivation, in which engagement is driven by external rewards, grades, parental expectations, or the avoidance of negative consequences. The study treated motivation as an independent contributor to perceived achievement, allowing the structural model to estimate its effect separately from, and in combination with, learning style preferences. Perceived academic achievement itself was captured through a self-reported questionnaire, reflecting the students&#8217; own assessments of how well they were doing in school.</p>
<p>The choice of structural equation modeling is what gives the study its analytical ambition. Unlike simple correlation analysis, which can only report the strength of pairwise associations, SEM tests whether a theoretically specified system of latent and observed variables, connected by hypothesized directional pathways, reproduces the patterns actually found in the data. In this case, the hypothesized model positioned learning styles and motivation as exogenous factors linked to perceived academic achievement, and the analysis confirmed that the model fit the observed responses. The authors describe this as confirming the hypothesized model, informing both theory and the practice of classroom instruction and teacher-student activities with respect to the three variables.</p>
<p>The findings carry particular weight because of where the data were collected. Much of the international literature on learning styles and motivation comes from high-income, Western educational systems, and there has long been limited knowledge about how these variables operate together in low-resource settings such as rural Ethiopia. The Basketo zone, an administrative area in the South Ethiopia Regional State, provides a context where classroom resources are constrained, class sizes can be large, and instruction often follows a one-size-fits-all format. Demonstrating that learning style and motivation are significantly associated with perceived achievement in this setting suggests that these individual differences are not artifacts of wealthy school systems but are relevant wherever students learn.</p>
<p>The study also speaks to a long-running scientific debate about the validity and usefulness of learning style theories. Critics have argued that there is little rigorous evidence for the so-called meshing hypothesis, the idea that matching instruction to a student&#8217;s preferred style improves learning outcomes. The Ethiopian researchers are careful in their framing: they do not claim that matching teaching to style directly causes higher achievement. Rather, their structural model shows that learning styles and motivation are crucial student differences significantly associated with perceived achievement, a claim about systematic relationships between individual characteristics and self-assessed outcomes. That distinction matters, and it positions the study as a contribution to understanding student diversity rather than as an endorsement of any particular matching strategy.</p>
<p>For teachers, the practical implications outlined by the authors center on diagnosis and responsiveness. If students in a single classroom differ systematically in whether they prefer visual, aural, read/write, or kinesthetic modes of engagement, and if those preferences are statistically tied to how students judge their own achievement, then teachers who remain unaware of this diversity may be leaving part of their students&#8217; potential untapped. The authors call on educational psychology researchers and school teachers to give emphasis to determining ways to address the learning needs of students in line with their preferred learning styles and motivation patterns. In practice, this could mean multimodal lesson design, varied assessment formats, and deliberate efforts to cultivate intrinsic motivation alongside the extrinsic incentives that dominate many school systems.</p>
<p>The research was funded by Jimma University as support for a master&#8217;s thesis in the field of educational psychology, and it was conducted under the ethical guidelines of the university&#8217;s institutional Research Review committee in accordance with the 1964 Helsinki Declaration and its later amendments. All participants were above the age of sixteen and gave informed consent, and all responses were anonymous. Published as open access, the study adds a statistically grounded, structurally modeled data point to the global conversation about why some students flourish while others struggle, and it makes the case that the answer lies not only in what is taught, but in who is doing the learning and why they have come to the classroom at all.</p>
<p><strong>Subject of Research:</strong> The associations of learning styles and motivation with perceived academic achievement among Ethiopian secondary school students</p>
<p><strong>Article Title:</strong> The associations of learning styles, motivation, and perceived academic achievement among Basketo zone secondary school students in Ethiopia</p>
<p><strong>Article References:</strong> The associations of learning styles, motivation, and perceived academic achievement among Basketo zone secondary school students in Ethiopia. (n.d.). <a href="https://doi.org/10.1007/s44202-026-00889-z" rel="noopener noreferrer">https://doi.org/10.1007/s44202-026-00889-z</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s44202-026-00889-z" rel="noopener noreferrer">10.1007/s44202-026-00889-z</a></p>
<p><strong>Keywords:</strong> learning styles, VARK, motivation, academic achievement, structural equation model, educational psychology, Ethiopia, secondary school students, intrinsic motivation, extrinsic motivation, student diversity, classroom instruction</p>
]]></content:encoded>
					
		
		
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