Large Effect Research Articles

Preschool and child health: Evidence from China's universal child care reform

Early childhood education programs have been found to effectively promote children's social and cognitive development. However, the health impact of these programs is less understood. Using a quasi-experiment of the first universal child care reform in China from 2010, this paper aims to identify whether the preschool reform produces any short-term effects on health-related outcomes of preschoolers (3-6 years old). Specifically, this reform expands access to affordable preschools that provide full-day center-based education, with school meals and essential health services on campus. I exploit the variation in the number of newly established preschools across provinces and implement difference-in-differences and triple-difference strategies. Results confirm the effectiveness of this reform by showing a strong and positive impact on preschool attendance. This paper then documents the benefits to alleviating underweight among preschoolers. Estimates show a larger effect in rural areas, suggesting that the reform narrows rural-urban disparities in education access and undernutrition prevention. I also explore the impact on caregivers’ health consciousness and find improved health-seeking behavior when children get sick.

Does Digital Intergroup Contact Reduce Prejudice? A Meta-Analysis.

With the ubiquity of technology in the modern life, contact between different social groups via different digital means is an everyday reality. Can such a digital intergroup contact reduce prejudice, or does it exacerbate it? In this study, we summarize the present evidence on the links between intergroup digital contact and prejudice in a variety of intergroup contexts. We meta-analyzed experimental and correlational evidence from 88 independent samples (n = 9,385). Digital intergroup contact showed a small but significant effect consistent with prejudice reduction (g = 0.25). Direct digital contact showed larger effect than indirect forms of contact, and contact via computer-mediated communication showed larger effects than contact achieved via other activities such as interacting with nonplayable characters or embodiment. The effects were similar regardless of the type of out-group targeted by prejudice. Overall, meta-analytical results suggest that digital intergroup contact may reduce prejudice.

What makes public transit demand management programmes successful? A systematic review of ex-post evidence

ABSTRACT Transit crowding results in negative experiences and mode change for transit riders and operational challenges for operators. The COVID-19 pandemic initiated an ongoing transformation of how, when, and where people travel, yet the challenge of balancing demand and supply in transportation remained topical. The pandemic has also exposed the traditional approach of infrastructure expansion for being too slow to respond to the challenges of crowding in a timely manner. As such, this paper provides a systematic literature review of the ex-post studies that evaluated the impact of transit demand management strategies. The paper synthesises the findings from 13 different programmes analysed in 20 studies. It is concluded that at least within the scope of the limited number of identified ex-post studies, the practice of alternative work schedules that allow employees greater freedom when to travel is the demand management approach that can bring the most significant crowding reduction. Once that flexibility is expanded, other strategies that appeal to riders’ preferences might have a larger effect as well. The findings of this review aim to encourage transit agencies to develop collaborations with large employers that can introduce alternative work schedules.

Locally adaptive inversions in structured populations.

Inversions have been proposed to facilitate local adaptation, by linking together locally coadapted alleles at different loci. Prior work addressing this question theoretically has considered the spread of inversions in "continent-island" scenarios in which there is a unidirectional flow of maladapted migrants into the island population. In this setting, inversions capturing locally adaptive haplotypes are most likely to invade when selection is weak, because stronger local selection i) more effectively purges maladaptive alleles, and ii) generates linkage disequilibrium between adaptive alleles, thus lessening the advantage of inversions. We show this finding only holds under limited conditions by studying the establishment of inversions in a more general two-deme model, which explicitly considers the dynamics of allele frequencies in both populations linked by bidirectional migration. In this model, the level of symmetry between demes can be varied from complete asymmetry (continent-island) to complete symmetry. For symmetric selection and migration, strong selection increases the allele frequency divergence between demes thereby increasing the frequency of maladaptive alleles in migrants, favouring inversions-the opposite of the pattern seen in the asymmetric continent-island scenario. We also account for the likelihood that a new inversion captures an adaptive haplotype in the first instance. When considering the combined process of capture and invasion in "continent island" and symmetric scenarios, relatively strong selection increases inversion establishment probability. Migration must also be low enough that the inversion is likely to capture an adaptive allele combination, but not so low as to eliminate the inversion's advantage. Overall, our analysis suggests that inversions are likely to harbour larger effect alleles that experience relatively strong selection.

High salt diet induces microbiome dysregulation, neuroinflammation, and anxiety in the chronic period after mild repetitive closed head injury in adolescent mice

Abstract The associations between human concussions and subsequent sequelae of chronic neuropsychiatric and cardiovascular such as hypertension have been reported; however, little is known about the underlying biological processes. We hypothesized that dietary changes, including a high salt diet, disrupt the bidirectional gut-brain axis, resulting in worsening neuroinflammation and emergence of cardiovascular and behavioral phenotypes in the chronic period after repetitive closed head injury in adolescent mice. Adolescent mice were subjected to three daily closed head injuries, recovered for 12 weeks, and then maintained on a high salt diet or a normal diet for an additional 12 weeks. Experimental endpoints were hemodynamics, behavior, microglial gene expression (bulk RNA sequencing), brain inflammation (brain tissue quantitative PCR), and microbiome diversity (16S RNA sequencing). High salt diet did not affect systemic blood pressure or heart rate in Sham or injured mice. High salt diet increased anxiety-like behavior in injured mice compared to Sham mice fed with high salt diet and injured mice fed with normal diet. Increased anxiety in injured mice that received a high salt diet was associated with microgliosis and a proinflammatory microglial transcriptomic signature, including upregulation in interferon-gamma (IFN-γ), interferon beta (IFN- β), and oxidative stress related pathways. Accordingly, we found upregulation of tumor necrosis factor-alpha (TNF-α) and IFN-γ mRNA in the brain tissue of high salt diet-fed injured mice. High salt diet had a larger effect on the gut microbiome composition than repetitive close head injury. Increases in gut microbes in the families Lachnospiraceae, Erysipelotrichaceae, and Clostridiaceae were positively correlated with anxiety-like behaviors. In contrast, Muribaculaceae, Acholeplasmataceae, and Lactobacillaceae were negatively correlated with anxiety in injured mice that received a high salt diet, a time-dependent effect. The findings suggest that high salt diet, administered after a recovery period, may affect neurologic outcomes following mild repetitive head injury, including the development of anxiety. This effect was linked to microbiome dysregulation and an exacerbation of microglial inflammation, which may be physiological targets to prevent behavioral sequelae in the chronic period after mild repetitive head injury. The data suggest an important contribution of diet in determining long-term outcomes after mild repetitive head injury.

MITO END-3: efficacy of avelumab immunotherapy according to molecular profiling in first-line endometrial cancer therapy

Immunotherapy combined with chemotherapy significantly improves progression-free survival (PFS) compared to first-line chemotherapy alone in advanced endometrial cancer (EC), with a much larger effect size in microsatellite instability-high (MSI-H) cases. New biomarkers might help to select patients who may have benefit among those with a microsatellite-stable (MSS) tumor. In a pre-planned translational analysis of the MITO END-3 trial, we assessed the significance of genomic abnormalities in patients randomized to standard carboplatin/paclitaxel without or with avelumab. Out of 125 randomized patients, 109 had samples eligible for next-generation sequencing analysis, and 102 had MSI tested. According to The Cancer Genome Atlas (TCGA), there were 29 cases with MSI-H, 26 with MSS TP53 wild type (wt), 47 with MSS TP53 mutated (mut), and 1 case with POLE mutation. Four mutated genes were present in >30% of cases: TP53, PIK3CA, ARID1A, and PTEN. Eleven patients (10%) had a BRCA1/2 mutation (five in MSI-H and six in MSS). High tumor mutational burden (≥10 muts/Mb) was observed in all MSI-H patients, in 4 out of 47 MSS/TP53 mut, and no case in the MSS/TP53 wt category. The effect of avelumab on PFS significantly varied according to TCGA categories, being favorable in MSI-H and worst in MSS/TP53 mut (P interaction= 0.003); a similar non-significant trend was seen in survival analysis. ARID1A and PTEN also showed a statistically significant interaction with treatment effect, which was better in the presence of the mutation (ARID1A P interaction= 0.01; PTEN P interaction= 0.002). The MITO END-3 trial results suggest that TP53 mutation is associated with a poor effect of avelumab, while mutations of PTEN and ARID1A are related to a positive effect of the drug in patients with advanced EC.

Structure-Photoreactivity Studies of BODIPY Photocages: Limitations of the Activation Barrier for Optimizing Photoreactions.

BODIPY photocages are photoreactive chromophores that release covalently linked cargo upon absorption of visible light. Here, we used computations of the T1 photoheterolysis barrier to ascertain whether a computational approach could assist in a priori structure design by identifying new structures with higher quantum yields of photorelease. The electronic structure-photoreactivity relationships were elucidated for boron-substituted and core-functionalized 2-substituted BODIPY photocages as well as aryl substitutions at the meso-methyl position. Although there is a clear trend for the 2-substituted derivatives, with donor-substituted derivatives featuring both lower computed barriers and higher experimental quantum yields, no trend in the quantum yield with the computed activation barrier is found for the meso-methyl-substituted or boron-substituted derivatives. The lack of a correlation between the experimental quantum yield with the computed barrier in the latter two substitution cases is attributed to the substituents having larger effects on the rates of competing channels (internal conversion and competitive photoreactions) than on the rate of the photoheterolysis channel. Thus, although in some cases computed photoreaction barriers can aid in identifying structures with higher quantum yields, the ignored impacts of how changing the structure affects the rates of competing photophysical/photochemical channels limit the effectiveness of this single-parameter approach.

Abstract PO4-03-11: Discerning the impact of ctDNA detection on patient decisions in early-stage breast cancer

Abstract Background: Detection of circulating tumor DNA (ctDNA) after neoadjuvant therapy for triple negative breast cancer (TNBC) is associated with increased risk of recurrence. Ongoing trials aim to determine whether knowledge of specific genomic mutations in ctDNA can inform targeted adjuvant therapy to improve prognosis. The impact of knowledge of ctDNA status on patient treatment decisions weighing benefit and toxicity is unknown. Methods: 401 women were recruited via the Research Advocacy Network from Young Survivors’ Coalition, Living Beyond Breast Cancer, and Pink-4-Ever Ending Disparities. Participants had to self-report a history of non-metastatic breast cancer and have received chemotherapy in the prior 6 months to 10 years to be eligible. Participants completed a 27 question Qualtrics survey detailing demographics and experience with prior chemotherapy. Based on estimations from prior data, participants were presented with scenarios mimicking residual TNBC and unknown, negative, or positive ctDNA status with corresponding risk of recurrence of 40%, 20%, or 55% respectively. Participants were then presented with 12 scenarios (in random order) combining various degrees of absolute risk reduction (5%, 15%, 35%) with established toxicity profiles of four possible post-neoadjuvant therapies (capecitabine, immunotherapy, PARP inhibitor, and PI3K inhibitor). Participants rated scenarios in terms of acceptability from 0-100. A general linear model with repeated measures (3 × 4) was used to determine the contributions of risk reduction and toxicity to acceptability. Models were also run with the addition of between subject factors: age group (< 40; >40), stage of cancer (Stage 1; Stage 2/3), and previous experience with toxicity (Yes; No), to examine whether any of these factors moderated the effects of risk reduction and toxicity. Effect sizes were determined by partial h2. Results: 286 eligible respondents completed the survey with evaluable responses. Average age was 41.2 (range 27-75). When the hypothetical risk of recurrence decreased from 40% (ctDNA-unknown) to 20% (ctDNA-negative), significantly less participants preferred adjuvant capecitabine vs. no therapy (95.1% versus 63.3%, p< 0.001). Across the 12 scenarios, both benefit (F=448.5, p< 0.001; preference for greater benefit) and toxicity (F=33.64, p< 0.001; preference for lower toxicity) significantly influenced acceptability, but benefit had a much larger effect size than toxicity (h2=0.76 and 0.26, respectively). There was no significant interaction effect, and the pattern of results was not moderated by age, stage of cancer, or prior experience with chemotherapy toxicity. The most preferred scenario (greatest benefit, lowest toxicity) had a mean rating of 87.8/100; however, even when presented with the scenario with the lowest benefit and highest toxicity, the mean rating was still 31.5/100, suggesting that this combination would be acceptable to some individuals. Conclusions: Knowledge of ctDNA-negative status significantly reduced the number of participants preferring adjuvant capecitabine over no further therapy. When faced with ctDNA-positive status, participants preferred maximum risk reduction regardless of toxicity profile. As genomic technology advances, it is imperative that researchers and treating physicians understand its impact on patient decision making. Citation Format: Tarah Ballinger, Gregory Zimet, Elda Railey, Mary Lou Smith, Bryan Schneider. Discerning the impact of ctDNA detection on patient decisions in early-stage breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO4-03-11.

Effect of an herbivorous subterranean rodent on vegetation in relation to primary productivity

AbstractSubterranean rodents modify the surrounding environment being classified, in some cases, as keystone species and/or ecosystem engineers. This role could be context‐dependent if the changes produced shift throughout the species distribution range and are stronger under certain environmental conditions. Our objective was to analyse whether the effect of Ctenomys mendocinus on vegetation cover is context‐dependent. Given that primary productivity may increase plants' ability to tolerate or compensate following herbivory, we hypothesize that the effect of C. mendocinus on vegetation cover will be context‐dependent along a primary productivity gradient, with smaller effects in highly productive environments and larger effects in less productive ones. We compared the effect of C. mendocinus on plant cover among four contrasting environments and found that it depended on primary productivity in a predictable manner. In low productivity environments, the rodent significantly reduces vegetation cover, while it has no discernible effect in highly productive ones. These findings suggest that the effect of C. mendocinus on plant cover depends on primary productivity level and highlights the importance of accounting for the underlying environmental factors that influence the intensity of C. mendocinus–plant interaction.

From aid to resilience: Assessing the impact of climate finance on energy vulnerability in developing countries

Climate change is a major threat, and tackling it requires massive investment in sustainable practices and technologies. This paper explores the impact of the Global Climate Finance Fund (CF), including the Adaptation Finance Fund (AF) and Mitigation Finance Fund (MF), on energy vulnerability from 2000 to 2019 in a panel of 74 developing countries. Estimation using the Ordinary Least Squares (OLS) method showed that the CF significantly reduces energy vulnerability in developing countries. Furthermore, these results show that the MF has a greater reduction effect on energy vulnerability than the AF. To deal with the omitted variables bias and reverse causality, we applied the Oster (2019) stability test, and the Instrumental Variable Generalized Method of Moments (IV-GMM). The results confirm previous findings that climate finance reduces energy vulnerability, with mitigation finance having a larger effect. These results remained robust to the introduction of additional controls, to the exclusion of outliers, and to the use of alternative climate finance measures. Instrumenting climate finance by the share of important votes at the UN General Assembly and using three different instrumental estimation techniques, such as the Instrumental Variable Two-Stage Least Squares (IV-2SLS), Lewbel (2012), and Kiviet (2020), does not change our results. Finally, an asymmetry analysis through the application of the Canay (2011) quantile regression demonstrated that climate finance reduces energy vulnerability only for countries with a medium and high level of energy vulnerability. Based on these results, policy recommendations have been formulated.

The role of constitutive properties on the longitudinal compressive strength of composites

The longitudinal compressive strength of fibre-reinforced composites is often a limiting factor for structural design. This paper uses micromechanical finite-element analyses to examine how the constitutive properties of the matrix, fibres, and interface affect the composite’s strength. For a typical carbon/epoxy composite, the matrix shear strength has a larger effect than the modulus; a linear-elastic perfectly-plastic approximation of the matrix shear curve may overestimate the composite’s strength by over 15%. A pressure-dependent and dilatant matrix plasticity response may strengthen the composite by 30%, considering current uncertainties in friction and dilation angles of epoxy matrices. The finite shear modulus of carbon fibres may weaken the composite by more than 10%. Considering a cohesive interface using traction–separation laws significantly affects the predicted response of the composite, even for interfaces stronger than the matrix. Opportunities for improving the characterisation, modelling and performance of the constituents in terms of matrix plasticity, fibre shear modulus, and interface response are discussed.

Using tensile and compressive stress superposition during incremental forming to manipulate martensitic transformation in SS304

Single point incremental forming (SPIF) is a flexible manufacturing process that has applications in industries ranging from biomedical to automotive. In addition to rapid prototyping, which requires easy adaptations in geometry or material for design changes, control of the final part properties is desired. One strategy that can be implemented is stress superposition, which is the application of additional stresses during an existing manufacturing process. Tensile and compressive stresses applied during SPIF showed significant effects on the resulting microstructure in stainless steel 304 truncated square pyramids. Specifically, the amount of martensitic transformation was increased through stress superposed incremental forming. Finite element analyses with advanced material modeling supported that the stress triaxiality had a larger effect than the Lode angle parameter on the phase transformation that occurred during deformation. By controlling the amount of tensile and compressive stresses superposed during incremental forming, the microstructure of the final component can be manipulated based on the intended application and desired final part properties.

Treating benign paroxysmal positional vertigo in acute traumatic brain injury: a prospective, randomised clinical trial assessing safety, feasibility, and efficacy

BackgroundBenign paroxysmal positional vertigo (BPPV) affects approximately half of acute, moderate-severe traumatic brain injury (TBI) patients. To date, there have been no rigorous studies of BPPV assessment or treatment in...

Material Characterization Augmented with Artificial Intelligence.

The present paper investigates the application of artificial intelligence to improve the results from simple, non-instrumented, tensile tests, performed with a desktop-size MaCh3D smart universal testing machine. Non-instrumented tensile tests, performed on any testing machine, are affected by both deterministic and random factors that introduce errors in the test results. Specific features of the MaChh3D tester minimize random factors effects on test results while introducing a larger effect of deterministic factors. Artificial intelligence is identified as a novel approach to correct errors in non-instrumented tensile test, capable of simulating a direct strain measure onto the test, replacing traditional contact or non-contact instrumentations (like strain-gages, extensometer and optical measures) that introduce complexity into test procedure and require time for setup. The resulting AI model implementation is described and its performance evaluated in comparison with instrumented tests, also comparing different training strategies. The developed AI-extensometer (artificial intelligence virtual extensometer), is capable of a precise mechanical properties evaluation, with errors from 0 to 10% depending on the specific parameter.

CPPS and Voice-Source Parameters: Objective Analysis of the Singing Voice.

In recent years cepstral analysis and specific cepstrum-based measures such as smoothed cepstral peak prominence (CPPS) has become increasingly researched and utilized in attempts to determine the extent of overall dysphonia in voice signals. Yet, few studies have extensively examined how specific voice-source parameters affect CPPS values. Using a range of synthesized tones, this exploratory study sought to systematically analyze the effect of fundamental frequency (fo), vibrato extent, source-spectrum tilt, and the amplitude of the voice-source fundamental on CPPS values. A series of scales were synthesised using the freeware Madde. Fundamental frequency, vibrato extent, source-spectrum tilt, and the amplitude of the voice-source fundamental were systematically and independently varied. The tones were analysed in PRAAT, and statistical analyses were conducted in SPSS. CPPS was significantly affected by both fo and source-spectrum tilt, independently. A nonlinear association was seen between vibrato extent and CPPS, where CPPS values increased from 0 to 0.6 semitones (ST), then rapidly decreased approaching 1.0 ST. No relationship was seen between the amplitude of the voice-source fundamental and CPPS. The large effect of fo should be taken into account when analyzing the voice, particularly in singing-voice research, when comparing pre and posttreatment data, and when comparing inter-subject CPPS data.

Expanding access to identification cards and social programs: Experimental evidence from Panamá

AbstractWe experimentally analyze the effects of an intervention to induce the renewal of identification cards on access to a government social program in Panamá. On‐time renewals and access to government transfers increased by 10 and 3.6 percentage points, respectively. Simple reminders about expiration dates generated larger effects than also enabling individuals to renew their documents through an online platform, which users struggled to use despite its being designed to simplify the process. The results suggest that increasing access to identity documentation can reduce exclusion errors in social programs and that simply granting access to e‐government platforms may not necessarily improve public service delivery.

Automatic price appraisals: why they matter and how to measure them.

Accurately estimating consumers' willingness-to-pay (WTP) is crucial to product design, pricing decisions, and the design of competitive marketing strategies. However, traditional self-report measures of WTP are susceptible to many reporting biases, including tactical responding or an inability to make accurate estimates. Importantly, appraisals also occur automatically (i.e., in the absence of substantial time, intention, awareness, and/or substantial cognitive resources) and implicit measures used to capture automatic appraisals are less susceptible to the sort of reporting biases that self-report measures can be affected by. However, the only existing implicit measure for assessing automatic price appraisals (the Task Rule Congruency paradigm, 'TRC') is impractical because of the large number of trials and time it requires. Accordingly, here we introduce the Implicit Attribute Classification Task (IMPACT), test its effectiveness for the measurement of automatic price appraisals (Study 1), and directly compare its effectiveness and utility with that of the TRC (Study 2). We find that the IMPACT is an efficient measure of automatic price appraisals, that it produces considerably larger effects compared to the TRC, and that it does so while substantially shortening the procedure. We also discuss how the IMPACT scores can be used to derive an implicit measure of willingness to pay. Our findings make a substantial contribution to both research and practice by providing an effective tool that facilitates, for the first time, an efficient exploration of implicit WTP.

Water status dynamics and drought tolerance of juvenile European beech, Douglas fir and Norway spruce trees as dependent on neighborhood and nitrogen supply.

To increase the resilience of forests to drought and other hazards, foresters are increasingly planting mixed stands. This requires knowledge about the drought response of tree species in pure and mixed-culture neighborhoods. In addition, drought frequently interacts with continued atmospheric nitrogen (N) deposition. To disentangle these factors for European beech, Norway spruce and Douglas fir, we conducted a replicated 3-factorial sapling growth experiment with three moisture levels, (high, medium, and low), two N levels (high and ambient), and pure and mixed-culture neighborhoods. We measured biomass, stomatal conductance (GS), shoot water potential (at predawn: ΨPD, midday, and turgor loss point: ΨTLP), branch xylem embolism resistance (Ψ50) and minimum epidermal conductance (Gmin). The three species differed most with respect to Gmin (10-fold higher in beech than in the conifers), hydroscape area (larger in beech), and the time elapsed to reach stomatal closure (TΨGS90) and ΨTLP (TTLP; shorter in beech), while Ψ50 and ΨTLP were remarkably similar. Neighborhood (pure vs mixed-culture) influenced biomass production, water status and hydraulic traits, notably GS (higher in Douglas fir, but lower in spruce and beech, in mixtures than pure culture), hydraulic safety margin (smaller for beech in mixtures), and TΨGS90 and TTLP (shorter for spruce in mixture). High N generally increased GS, but no consistent N effects on leaf water status and hydraulic traits were detected, suggesting that neighbor identity had a larger effect on plant water relations than N availability. We conclude that both tree neighborhood and N availability modulate the drought response of beech, spruce, and Douglas fir. Species mixing can alleviate the drought stress of some species, but often by disadvantaging other species. Thus, our study suggests that stabilizing and building resilience of production forests against a drier and warmer climate may depend primarily on the right species choice; species mixing can support the agenda.

Cross-linguistic effects of form overlap in aural recognition of Spanish–English cognates

Abstract This study investigated the effect of cross-linguistic overlap in L1 and L2 auditory recognition of Spanish–English cognates. The study examined the correlation between objective and subjective measures of overlap and analyzed how these measures predict patterns in auditory recognition. 62 Spanish-speaking learners of English and 63 English-speaking learners of Spanish completed two auditory lexical decision tasks in Spanish and English and a rating task, where they rated the perceived phonological similarity of cognates. The results revealed moderate correlations between subjective and objective measures of overlap. While orthographic overlap had no effect, increased phonological overlap facilitated recognition in L1 and L2 Spanish and English and had larger effects in L2 recognition. Perceived similarity was the best predictor among the measures of overlap. The findings support models suggesting that cross-linguistic co-activation is facilitated by increased form similarity and studies reporting modality dependent effects of cross-linguistic form overlap in lexical recognition.

The potential of following-up international large-scale assessment studies: using PISA 2018 to develop a comprehensive model of effective teaching

ABSTRACT The paper investigates the potential of using international large-scale assessment studies for conducting follow-up studies testing models of educational effectiveness. The impact of teacher factors coming from the dynamic model of educational effectiveness and the dialogic education theory on student literacy achievement is examined. Modern Greek teachers from secondary schools that participated in PISA 2018 (Accessed on https://www.oecd.org/pisa/data/pisa2018technicalreport/) in Cyprus were recruited. Two Grade 11 classes per teacher were selected, giving 392 students in total. Observation data from Greek lessons and student literacy achievement data were collected. Two multilevel regression analyses were conducted: one with the whole student sample and one with only students from whom PISA prior achievement measure was identified. When prior achievement (i.e., PISA measure) was considered, additional and larger effects of factors on student final achievement were detected. Both analyses reveal that when factors from both frameworks were considered, larger variance in student achievement was explained.