Mean Effect Size Research Articles

The Effects of Monetary Policy on Capital Flows: An Emerging Market Survey

We investigate whether central banks from emerging markets can attract or redirect capital flows, by bringing together the entire empirical literature into the first quan- titative meta-analysis. We dissect policy effects based on the origin of the monetary shock and type of flow. Further, we assess whether policy effects depend on factors that drive investors to either search for yields or fly to safety. Our findings indicate a mean effect size of inflows in the amount of 0.09% of quarterly GDP in response to either a 100-basis point (bp) increase in the domestic policy rate or a 100 bp reduction in the external rate. However, the effect size under a fixed effect specification is much higher (0.2%). Factors that attract inflows include output growth, foreign exchange reserves, and a more flexible exchange rate regime, while factors that deter flows include local and global risks. Finally, we find that banking flows are the most responsive to monetary policy, while foreign direct investments are the least responsive.

Effects of educational technology intervention on creative thinking in educational settings: a meta-analysis

Purpose This study aims to meta-analytically investigate the impact of educational technology interventions on the development of creative thinking in educational settings. In recent years, the debate among researchers has persisted regarding the impact of various educational technologies, including interactive learning environments, digital instruction and platforms, and educational games and robotics, on students' creative thinking in diverse educational settings due to inconsistent findings. Design/methodology/approach This study, conducting a meta-analysis by synthesizing 35 relevant empirical studies with 2,776 participants, aims to investigate the association between educational technology interventions and the Torrance Tests of Creative Thinking (TTCT) and its subscales (fluency, flexibility, originality and elaboration). Findings No evident publication bias was found. From a general perspective, the results demonstrate a moderate level of influence of educational technology on the overall TTCT scale, with high heterogeneity attributed to the adopted instruments, mixed methods and target outcomes. Additionally, the results indicate that only three of the TTCT subscales (fluency, flexibility and originality) are influenced by educational technologies. Among the interventions, interactive learning environments yielded medium to the largest mean effect size. Furthermore, moderator analyses suggest that the effects of interventions on two subscales of TTCT (flexibility and originality) are moderated by school types, research design and the duration of intervention. The conclusion drawn is that interventions promoting students' creative thinking in different educational settings are efficacious. Originality/value Despite the low homogeneity of the results, which might have influenced the findings, the large fail-safe N suggests that these findings are robust. The study examined potential causes of heterogeneity and emphasized the importance of further research in this area.

Mangrove Cover and Extent of Protection Influence Lateral Erosion Control at Hybrid Mangrove Living Shorelines

Erosion poses a significant threat to coastal and estuarine environments worldwide and is further exacerbated by anthropogenic activities and increasing coastal hazards. While conventional engineered structures, such as seawalls and revetments, are commonly employed to protect shorelines from wave impact and erosion, they can also cause detrimental environmental effects. By creating/restoring coastal habitats with engineered structures, hybrid living shorelines offer coastal protection and other co-benefits. Using aerial imagery, we studied the rates of shoreline change before and after living shoreline installation, and between living shorelines and adjacent bare shorelines in three estuaries in New South Wales, Australia. Mangroves had established behind most rock fillets and displayed a trend of increasing canopy cover with fillet age. In the first 3 years since installation, the rates of lateral shoreline change reduced from − 0.20, − 0.16, and − 0.10 m/year to − 0.03, − 0.01, and 0.06 m/year in living shorelines in Hunter, Manning, and Richmond Rivers, respectively. However, when compared to control shorelines, the effectiveness in reducing erosion varied among living shorelines with mean effect sizes of 0.04, − 0.28, and 1.74 across the three estuaries. A more positive rate of shoreline change was associated with an increasing percentage of mangrove canopy area and an increasing length of protected shoreline at wide channels. While hybrid mangrove living shorelines are a promising solution for mitigating erosion and creating habitats at an estuary-wide scale, they may also contribute to downdrift erosion, emphasising the importance of considering site-specific hydrogeomorphology and sediment movement when installing living shorelines.

Associations of Circulating Biomarkers with Disease Risks: a Two-Sample Mendelian Randomization Study.

Circulating biomarkers play a pivotal role in personalized medicine, offering potential for disease screening, prevention, and treatment. Despite established associations between numerous biomarkers and diseases, elucidating their causal relationships is challenging. Mendelian Randomization (MR) can address this issue by employing genetic instruments to discern causal links. Additionally, using multiple MR methods with overlapping results enhances the reliability of discovered relationships. Here we report an MR study using multiple methods, including inverse variance weighted, simple mode, weighted mode, weighted median, and MR Egger. We use the MR-base resource (v0.5.6)1 to evaluate causal relationships between 212 circulating biomarkers (curated from UK Biobank analyses by Neale lab and from Shin et al. 2014, Roederer et al. 2015, and Kettunen et al. 2016)2-4 and 99 complex diseases (curated from several consortia by MRC IEU and Biobank Japan). We report novel causal relationships found by 4 or more MR methods between glucose and bipolar disorder (Mean Effect Size estimate across methods: 0.39) and between cystatin C and bipolar disorder (Mean Effect Size: -0.31). Based on agreement in 4 or more methods, we also identify previously known links between urate with gout and creatine with chronic kidney disease, as well as biomarkers that may be causal of cardiovascular conditions: apolipoprotein B, cholesterol, LDL, lipoprotein A, and triglycerides in coronary heart disease, as well as lipoprotein A, LDL, cholesterol, and apolipoprotein B in myocardial infarction. This Mendelian Randomization study not only corroborates known causal relationships between circulating biomarkers and diseases but also uncovers two novel biomarkers associated with bipolar disorder that warrant further investigation. Our findings provide insight into understanding how biological processes reflecting circulating biomarkers and their associated effects may contribute to disease etiology, which can eventually help improve precision diagnostics and intervention.

Effects of biochar addition on soil fauna communities—A meta‐analysis

AbstractSoil fauna is an important part of global biodiversity and plays a vital role in ecosystems. The microbial communities in soil fauna can have significant impacts on soil fertility, as microbial communities play a pivotal role in soil function by supporting ecological integrity and agricultural productivity. This study assesses the effect of biochar on soil fauna and response of microbial communities. Biochar is a highly porous organic carbon material, and the impact of biochar on microbial communities in soil fauna remains unclear. To date, no quantitative or comprehensive investigation has been undertaken to examine the effects of biochar on microbial communities in soil fauna. In this paper, we aim to quantify the effects of biochar on the abundance and diversity of soil fauna communities in various environments by conducting a meta‐analysis of 24 studies and analysing 459 observations. The impact of biochar on soil fauna communities was determined by analysing the responses of soil fauna that included differences in biochar feedstock, pH and pyrolysis, application rates and application times, as well as soil fauna with different physiological characteristics (body size, presence of exoskeletons). The results showed that biochar had a neutral (non‐significant) effect on the soil fauna community, with a total mean effect size (Hedge's g) = −0.04 (CI: −0.28; −0.20). Results Data validation using Egger regression showed no publication bias. Higher pH biochar and biochar from conventional pyrolysis were beneficial to soil fauna, but not significant (QM (df = 3) = 4.07, p = .25). In addition, body size of soil animals significantly reflected different sensitivities to biochar application, with Medium‐sized animals benefiting the most from biochar addition (0.35; CI: 0.05; 0.65; n = 6; 56). Animals with (n = 11; 125) and without exoskeletons (n = 17; 308) also showed favourable and unfavourable responses to biochar addition, respectively. This study can provide basic data for the evolutionary pattern of animal communities during biochar soil amendment, as well as information for the comprehensive evaluation of the environmental and biological effects of biochar.

Phototherapy Alters the Plasma Metabolite Profile in Infants Born Preterm with Hyperbilirubinemia

To investigate the effects of gestational age (GA) and phototherapy on the plasma metabolite profile of preterm infants with neonatal hyperbilirubinemia (NHB). From a cohort of prospectively enrolled infants born preterm (n=92), plasma samples of very preterm (VPT; GA, 28+0 to 31+6weeks, n=27) and moderate/late preterm (M/LPT; GA, 32+0 to 35+6weeks, n=33) infants requiring phototherapy for NHB were collected prior to the initiation of phototherapy and 24hours after starting phototherapy. An additional sample was collected 48hours after starting phototherapy in a randomly selected subset (n=30; VPT n=15; M/LPT n=15). Metabolite profiles were determined using ultraperformance liquid chromatography tandem mass spectroscopy. Two-way ANCOVA was used to identify metabolites that differed between GA groups and timepoints after adjusting for total serum bilirubin levels (false discovery rate q-value < 0.05). Top impacted pathways were identified using pathway over-representation analysis. Phototherapy was initiated at lower total serum bilirubin (mean±SD mg/dL) levels in VPT compared with M/LPT infants (7.3±1.4 vs 9.9±1.9, P<.01). We identified 664 metabolites that were significant for a phototherapy effect, 191 metabolites significant for GA, and 46 metabolites significant for GA×phototherapy interaction (false discovery rate q-value < 0.05). Longer duration phototherapy had a larger mean effect size (24hours postphototherapy: d=0.36; 48hours postphototherapy: d=0.43). Top pathways affected by phototherapy included membrane lipid metabolism, one-carbon metabolism, creatine biosynthesis, and oligodendrocyte differentiation. Phototherapy alters the plasma metabolite profile more than GA in preterm infants with NHB, affecting pathways related to lipid and one-carbon metabolism, energy biosynthesis, and oligodendrocyte differentiation.

Parents reported language development and scholastic achievement in children with congenital heart diseases versus typically developed

BackgroundChildren with congenital heart diseases (CHD) may have developmental delays including delayed language development (DLD) and learning difficulties. The purpose of this study was to observe the effects of CHD on language developmental profile and scholastic achievement (SA) with particular emphasis on prevalence of DLD and SA, potential risks, and need for early intervention.ResultsThis case–control study included 158 children with CHD and 145 healthy children as controls. Participants’ ages ranged from 6 months to 15 years. Data were collected by reviewing clinical records and questionnaires covering potential risks, motor and language development, and SA. Potential risks were analyzed using the Fisher test, while language development and SA were compared using Mann–Whitney test. The incidences of parent consanguinity, family history of DLD, and neonatal cyanosis were higher than expected by chance in the CHD group with p-values which are < 0.001, 0.044, and < 0.001, respectively. The CHD group revealed more delay in babbling, first word production, two-word sentences, three-word sentences, narration, and SA than control group with significant differences. These comparisons’ p-values are 0.002, < 0.001, 0.009, 0.029, 0.03, and 0.042 respectively with mean effect size 0.3. The language development profile in cyanotic HD showed more delay than acyanotic HD with significant differences.ConclusionsThe DLD and affected SA were more prevalent in children with CHD. The risk for DLD in CHD children was multifactorial; however, the main predisposing factor was chronic hypoxia that starts in the intrauterine life in CHD. Neonates with CHD require early intervention through oxygen therapy before surgery. Early family counseling and language therapy are recommended to improve quality of life through achieving better communicative ability and academic skills. Further studies which concerned the effect of maternal oxygenation on prognosis of fetuses with CHD may be required. Also, duplication of the study including formal testing is recommended.

A network meta-analysis of psychological interventions for children and adolescents after natural and man-made disasters

IntroductionChildren and adolescents, after natural and man-made disasters, often exhibit various psychological, emotional, and behavioral issues, showing a range of clinical symptoms related to post-traumatic stress disorder (PTSD) and depression. This review used a network meta-analysis (NMA) approach to compare and rank psychological interventions for PTSD and depression in children and adolescents after exposure to natural and man-made disasters.MethodsRandomized studies of psychosocial interventions for PTSD and depression in children and adolescents exposed to natural and man-made disasters were identified. PTSD and depression symptoms at postintervention and 1–12 month follow-up are the outcomes. The standardized mean differences (SMDs) between pairs of interventions at postintervention and follow-up were pooled. Mean effect sizes with 95% credible intervals (CI) were calculated, and the ranking probabilities for all interventions were estimated using the surface under the cumulative ranking curve. Study quality was assessed with version 2 of the Cochrane risk-of-bias tool for randomized trials (RoB 2).ResultsIn total, 26 studies with 4331 participants were included in this NMA. Eye movement desensitization and reprocessing therapy (EMDR) (SMD = − 0.67; 95% CI − 1.17 to − 0.17), exposure therapy (ET) (SMD = − 0.66; 95% CI − 1.11 to − 0.22), and cognitive behavioral therapy (CBT) (SMD = − 0.62; 95% CI − 0.90 to − 0.34) were significantly more effective for PTSD at postintervention than inactive intervention. EMDR (SMD = − 0.72; 95% CI − 1.11 to − 0.33) and ET (SMD = − 0.62; 95% CI − 0.97 to − 0.27) were associated with a higher reduction in PTSD symptoms at follow-up than inactive intervention. EMDR (SMD = − 0.40; 95% CI − 0.78 to − 0.03) and play therapy (PT) (SMD = − 0.37; 95% CI − 0.62 to − 0.12) were significantly more effective for depression at postintervention than inactive intervention. For all psychological interventions in reducing depression symptoms at follow-up compared with inactive intervention, the differences were not significant.ConclusionEMDR appears to be most effective in reducing PTSD and depression in children and adolescents exposed to natural and man-made disasters. In addition, ET and CBT are potentially effective in reducing PTSD symptoms at postintervention, while PT is beneficial in managing depression symptoms at the treatment endpoint.

Mixed forests provide higher levels of growth and yield than monocultures across a broad range of conditions

Compared with single-species forests, mixed forests tend to provide more forest ecosystem functions and services. However, there is a lack of detailed understanding of the basic mechanisms of the impact of species diversity on tree growth and forest productivity. The main drivers of this relationship are also still under discussion. Here, we synthesized information from 93 studies to quantify the increase in tree size, crown size and stand productivity in mixed stands, and conducted a meta-analysis on the response of tree growth and forest productivity to species mixing. Tree size, crown size and stand productivity increased by 7.4 % (2.4–12.5 %), 12.6 % (5.6–20.1 %), and 33.0 % (18.7–49.0 %), respectively, in mixed stands compared with single-species stands. Our results show that when all observations are included, the mean effect sizes of tree size, crown size, and stand productivity were greater than when only the equal stand density observations were included. Stand age and stand density were the most important moderators affecting tree size in mixed forests. Stand age, shade tolerance and soil acidity were the most important moderators influencing the effect sizes of crown size, and shade tolerance was the most important moderator influencing the effect sizes of stand productivity. We found that these positive mixing effects were also modulated by tree functional traits, stand characteristics, and climatic conditions. For different growth variables, the moderators that affect their growth in the mixed forests were different. Therefore, in the afforestation practices for differing management objectives, foresters should give priority to the factors that have the most important impact on them to achieve their goals. Our results have implications for linking biodiversity-ecosystem functioning relationships and forest management practices and may aid the development of more appropriate afforestation strategies.

A Systematic Review of the Effect of Stigmatization on Psychiatric Illness Outcomes.

A significant proportion of individuals with psychiatric disorders face dual challenges such as managing the symptoms and disabilities of their conditions and enduring stigma arising from misconceptions about mental illness. This stigma denies them quality-of-life opportunities, such as access to satisfactory healthcare services, better employment, safer housing, and social affiliations. This systematic review aims to evaluate the effect of stigmatization on psychiatric illness outcomes, particularly its influence on treatment adherence, treatment-seeking behavior, and care outcomes. We conducted a systematic review of 39 studies published between 2010 and 2024, focusing on the effects of stigmatization on psychiatric illness outcomes. The review utilized robust methodology following Cochrane guidance and Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, including studies from 2010 to 2024 obtained from databases such as PubMed, Embase, Google Scholar, Web of Science, and SCOPUS. The quality of the included studies was assessed using the Appraisal Tool for Cross-Sectional Studies, with most studies rated as moderate to high quality.The findings indicate that stigma in psychiatric illness is closely associated with several factors, including illness duration (mean effect size = 0.42, p < 0.05), frequency of clinic visits (mean reduction = 2.3 visits/year), and diagnosis of psychotic disorders (OR = 1.78, 95% CI: 1.20-2.65).Stigma manifests through misinformation, prejudice, and discrimination, leading to significant barriers to accessing and adhering to psychiatric treatment, thereby worsening health outcomes. It leads to delays in accessing healthcare, poor adherence to medication and follow-up, and negative psychiatric health outcomes, including disempowerment, reduced self-efficacy, increased psychiatric symptoms, and decreased quality of life. Also, stigma extends to caregivers and healthcare professionals, complicating care delivery. This review highlights the need for effective interventions and strategies to address stigma, emphasizing the importance of educational interventions to mitigate the adverse effects of public stigma. Understanding the multifaceted nature of stigma is crucial for developing targeted approaches to improve psychiatric care outcomes and ensure better mental health services for individuals with mental illnesses.

HIF1A protein expression is correlated with clinical features in gastric cancer: an updated systematic review and meta-analysis

To elucidate the correlation of HIF1A with clinicopathologic characteristics in patients with gastric cancer (GC), we conducted a systematic review and meta-analysis. We searched PubMed, Embase and Web of Science for studies on GC and HIF1A, covering studies published until January 31st, 2022. We calculated odds ratios (ORs) and 95% confidence intervals (CIs) for clinical characteristics based on high and low HIF1A protein levels. We used random-effects and fixed-effects meta-analysis methods to determine mean effect sizes of ORs and evaluated publication heterogeneity with τ2, I2, and Q values. Additionally, we generated funnel plots to inspect publication bias. Our meta-analysis included 20 publications with 3416 GC patients to estimate the association between high or low HIF1A expression and clinical characteristics. Positive HIF1A expression was significantly associated with T stage progression (OR: 2.46; 95% CI 1.81–3.36; P < 0.01), TNM stage progression (OR: 2.50; 95% CI 1.61–3.87; P < 0.01), lymph node metastasis (OR: 2.06; 95% CI 1.44–2.94; P < 0.01), undifferentiated status (OR: 1.83; 95% CI 1.45–2.32; P < 0.01), M stage progression (OR: 2.34; 95% CI 1.46–3.77; P < 0.01), Borrmann stage progression (OR: 1.48; 95% CI 1.02–2.15; P = 0.04), larger tumor size (OR: 1.27; 95% CI 1.06–1.52; P < 0.01), vascular invasion (OR: 1.94; 95% CI 1.38–2.72; P < 0.01), and higher vascular endothelial growth factor (VEGF) protein expression (OR: 2.61; 95% CI 1.79–3.80; P < 0.01) in our meta-analysis. GC Patients highly expressing HIF1A protein might be prone to tumor progression, poorly differentiated GC cell types, and a high VEGF expression.

The impact of formative assessment on K-12 learning: a meta-analysis

ABSTRACT To facilitate a more definitive understanding of the usefulness of formative assessment, this meta-analysis examined the impact of formative assessment on student academic achievement in the K-12 classroom. The study analyzed 258 effect sizes from 118 primary studies published around the world. By applying a broad lens for defining and understanding formative assessment, the study confirmed the usefulness of formative assessment. The overall effect size was 0.25 (Hedges’ g) for all studies included, and 0.22 for studies conducted within the US. The effect size was similar across different types of formative assessments (e.g., self-assessment vs peer assessment) and content domains (e.g., English language, mathematics, science, etc.). The mean effect size was significantly larger for studies conducted outside North America and Western Europe, for formative assessments for high school students, and for studies using the quasi-experimental design. No publication bias was detected for studies conducted in North America and Western Europe.

Multimedia glosses and second language vocabulary learning: A second-round meta-analysis

The use of glosses to aid vocabulary learning in second languages has been one of the most actively studied areas in computer-assisted language learning (CALL) literature. To compile research articles that examine the effect of utilizing glosses on second language (L2) vocabulary learning, the present study employed a second-order meta-analysis technique. The second-order meta-analysis is a study that synthesizes and analyzes the findings of multiple meta-analyses rather than individual primary studies, providing a higher level of abstraction and overview of existing evidence. The study synthesizes the results from seven primary meta-analyses conducted between 2008 and 2023, which included 136 original studies. Results showed that the overall mean effect size for using glosses was medium (g = 0.63 for the fixed-effect size model and 0.76 for the random-effect size model). The results showed that moderators had a significantly mitigated the effects of multimedia glosses. In particular, beginner-level students benefited greatly from being exposed to multimedia glosses, resulting in a large effect size. Additionally, the recognition test tended to produce a higher effect size compared to other types of vocabulary tests. Furthermore, glossing was found to be more effective in improving vocabulary acquisition in expository texts rather than narrative texts. Moreover, single-mode glosses were reported to be more effective than multi-mode glosses. The findings indicated that in-text glosses, out-text glosses, and bottom glosses exhibited a small effect size, whereas pop-up and margin glosses demonstrated a medium effect size. Implications for language learning and suggestions for future meta-analytic research are provided.

Firm ownership structure and voluntary carbon disclosure: a systematic review and meta-analysis

Purpose This study aims to systematically consolidate and quantitatively integrate the mixed empirical results on the association between ownership mechanisms and voluntary carbon disclosure using meta-analysis and further propose potential country-level moderators of this relationship. Design/methodology/approach The authors apply meta-analytic procedures on 55 empirical studies conducted during 2008–2022, covering 13 countries, 85 effect sizes and 226,473 firm-year observations. To gauge the significance of the estimated mean effect size, a random-effects Hedges and Olkin meta-analysis procedure is adopted, followed by a restricted maximum likelihood based meta-regression, to test the effect of possible moderators. Findings Aligned with agency and stakeholder theories, the results highlight institutional and state ownership (SO) as having a significant positive impact on voluntary carbon disclosure. On the other hand, ownership concentration, managerial and foreign ownership have an insignificant effect on voluntary carbon disclosure. Based on institutional theory perspectives, the authors confirm the impact of institutional ownership on voluntary carbon disclosure to be more prominent in civil law countries and those countries that have implemented an emission trading scheme (ETS). Practical implications The finding that institutional and SO in firms can translate into higher voluntary disclosures deems investors and the government as crucial stakeholders in achieving carbon neutrality. Furthermore, the finding that the effect of institutional investors on carbon disclosure is heightened in ETS-implemented countries provides evidence to the regulatory authorities in favour of this scheme. Social implications The positive impact of institutional and government ownership on voluntary carbon disclosure highlights that these ownership structures not only have the potential to transform corporate decisions but also have implications for the wider society. As firms owned by institutional investors disclose their carbon information, it provides access to critical information about their environmental practices to the public. This fosters an environment of transparency and trust between the firm and its stakeholders (the community), leading to an overall well-informed society. Originality/value While prior meta-reviews studied the impact of corporate governance on voluntary disclosures, the meta-literature, as of 2024, has yet to address its influence specifically on carbon disclosures, which are pertinent amidst the ongoing global climate change crisis. The findings inform policymakers about the pivotal institutional factors that can amplify the impact of effective ownership structures on voluntary carbon disclosure. Future scope exists for investigating the effects of ownership mechanisms on firm-level sustainable investments. Furthermore, future empirical analysis could consider the moderating influence of “culture” and “ease of doing business” on the ownership-carbon disclosure relationship.

A Comprehensive Approach to PROMs in Elective Orthopedic Surgery: Comparing Effect Sizes across Patient Subgroups.

Background: There is limited knowledge regarding the comparative patient-reported outcomes (PROMs) and effect sizes (ESs) across orthopedic elective surgery. Methods: All patient data between January 2020 and December 2022 were collected, and treatment outcomes assessed as a PROM difference between baseline and one-year follow-up. The cohort was divided into subgroups (hand, elbow, shoulder, spine, hip, knee, and foot/ankle). The PROM ESs were calculated for each patient separately, and patients with ES > 0.5 were considered responders. Results: In total, 7695 patients were operated on. The mean ES across all patient groups was 1.81 (SD 1.41), and the largest ES was observed in shoulder patients and the smallest in hand patients. Overall, shoulder, hip, and knee patients had a larger ES compared to hand, spine, and foot/ankle patients (p < 0.0001). The proportion of positive responders ranged between 91-94% in the knee, shoulder, and hip, and 69-70% in the hand, spine, and foot/ankle subgroups. Conclusions: The ESs are generally high throughout elective orthopedic surgery. However, based on our institutional observations, shoulder, hip, and knee patients experience larger treatment effects compared to hand, spine, and foot/ankle patients, among whom there are also more non-responders. The expected treatment outcomes should be clearly communicated to patients when considering elective surgery. Because of the study limitations, the results should be approached with some caution.

Grading student behavior

Numerous countries mandate comportment grades rating students’ social and work behavior in the classroom from teachers, yet their impact on student outcomes remains unclear. We exploit the staggered introduction of comportment grading across German federal states to estimate its causal effect on students’ school-to-work transitions, non-cognitive skills, and reading skills. Analyzing two different household surveys and student assessment data, point estimates of causal effects are close to zero for all outcomes. However, while confidence intervals for school-to-work transitions and non-cognitive skills allow us to reject meaningful effect sizes, those for reading skills are wider and need to be interpreted more cautiously. We use additional data sources to investigate potential explanations.

Efficacy of systemic therapy on adults with depressive disorders: A meta-analysis

Objective This meta-analysis evaluates the efficacy of systemic therapy approaches on adult clients with depressive disorders. Methods The illness-specific systematic review updates a previous meta-analysis on the efficacy of systemic therapy on psychiatric disorders in adulthood. It integrates the results of 30 randomized controlled trials (RCTs) comparing systemic psychotherapy for depression with an untreated control group or alternative treatments. Studies were identified through systematic searches in relevant electronic databases and cross-referencing. A random-effects model calculated weighted mean effect sizes for each type of comparison (alternative treatments, control group with no alternative treatment/waiting list) on two outcomes (depressive symptoms change, drop-out rates). Results On average, systemic interventions show larger improvements in depressive symptoms compared to no-treatment controls at post-test (g = 1.09) and follow-up (g = 1.23). Changes do not significantly differ when comparing systemic interventions with alternative treatments (post-test g = 0.25; follow-up g = 0.09). Results also vary, in part, by participant age, publication year, and active control condition. Conclusion This meta-analysis indicates the potential benefits of systemic interventions for adult patients with depression. Future randomized clinical trials in this area should enhance study quality and include relational and other relevant outcome measures.

A Meta-Analysis of Anomia Treatment in Bilingual Aphasia: Within- and Cross-Language Generalization and Predictors of the Treatment Outcomes.

The present meta-analysis investigated the efficacy of anomia treatment in bilingual and multilingual persons with aphasia (BPWAs) by assessing the magnitudes of six anomia treatment outcomes. Three of the treatment outcomes pertained to the "trained language": improvement of trained words (treatment effect [TE]), within-language generalization of semantically related untrained words (WLG-Related), and within-language generalization of unrelated words (WLG-Unrelated). Three treatment outcomes were for the "untrained language": improvement of translations of the trained words (cross-language generalization of trained words [CLG-Tx]), cross-language generalization of semantically related untrained words (CLG-Related), and cross-language generalization of unrelated untrained words (CLG-Unrelated). This study also examined participant- and treatment-related predictors of these treatment outcomes. This study is registered in the International Prospective Register of Systematic Reviews (PROSPERO) under the number CRD42023418147. Nine electronic databases were searched to identify word retrieval treatment studies of poststroke BPWAs of at least 6 months postonset. Pre- and posttreatment single-word naming scores were extracted for each eligible participant and used to calculate effect sizes (within-case Cohen's d) of the six treatment outcomes. Random-effects meta-analyses were conducted to assess weighted mean effect sizes of the treatment outcomes across studies. Multiple linear regression analyses were used to examine the effects of participant-related variables (pretreatment single-word naming and comprehension representing poststroke lexical processing abilities) and treatment-related variables (type, language, and duration). The methodological quality of eligible studies and the risk of bias in this meta-analysis were assessed. A total of 17 published studies with 39 BPWAs were included in the meta-analysis. The methodological quality of the included studies ranged from fair (n = 4) to good (n = 13). Anomia treatment produced a medium effect size for TE (M = 8.36) and marginally small effect sizes for WLG-Related (M = 1.63), WLG-Unrelated (M = 0.68), and CLG-Tx (M = 1.56). Effect sizes were nonsignificant for CLG-Related and CLG-Unrelated. TE was significantly larger than the other five types of treatment outcomes. TE and WLG-Related effect sizes were larger for BPWAs with milder comprehension or naming impairments and for treatments of longer duration. WLG-Unrelated was larger when BPWAs received phonological treatment than semantic and mixed treatments. The overall risk of bias in the meta-analysis was low with a potential risk of bias present in the study identification process. Current anomia treatment practices for bilingual speakers are efficacious in improving trained items but produce marginally small within-language generalization and cross-language generalization to translations of the trained items. These results highlight the need to provide treatment in each language of BPWAs and/or investigate other approaches to promote cross-language generalization. Furthermore, anomia treatment outcomes are influenced by BPWAs' poststroke single-word naming and comprehension abilities as well as treatment duration and the provision of phonological treatment. https://doi.org/10.23641/asha.25595712.

A Review of the Effects of Integrated Language, Science and Technology Interventions in Elementary Education on Student Achievement

This systematic literature review presents a review of the effects of integrated language arts, science and technology (ILS&amp;amp;T) instruction, with an inquiry- or design-based pedagogy, in elementary schools on student achievement. To this end, an overview of the characteristics of the 19 included studies and their interventions is first presented. Second, the effects of interventions in relation to the study characteristics and outcome variables were examined, by comparing the mean effect sizes. The findings demonstrate positive effects of ILS&amp;amp;T instruction for all reported student learning outcome variables. Third, the relation between characteristics of the intervention and effect sizes was analysed. Interventions with higher levels of integration, a short duration, and teacher professional development activities produce higher effect sizes. These findings are relevant for the design of ILS&amp;amp;T interventions. The analysis was challenged by a lack of detailed information in study and intervention descriptions, which prompts a call for scholars to provide more comprehensive information in their intervention studies.

Responses of soil aggregation and aggregate‐associated nitrogen to straw return in China: Evidence from a meta‐analysis and a pot experiment

AbstractEnhancing soil structure and soil nitrogen availability is the key to sustainable agricultural development in global cropping systems. Straw return can affect soil aggregation, but the results of recent studies on the influence of straw return on soil aggregation are not consistent, and the distribution and availability of straw‐derived nitrogen in soils are still unclear. Here, a meta‐analysis of the effects of straw return on soil aggregation was conducted based on 57 studies published in China over the past 10 years. Moreover, combined with a pot experiment, the distribution and transfer characteristics of the two main wheat (Triticum aestivum L.)‐preceding crops, corn (Zea mays L.) and soybean (Glycine max L.) straw‐derived nitrogen in the soils were studied by using the 15N‐tracer method in the main wheat‐producing areas of China. 15N‐labeled straw was introduced into soils in pots at rates of 0.3% and 0.5% of the soil dry mass and incubated 60%–70% of the field water capacity throughout the entire growth period of wheat (220 days). A meta‐analysis revealed that straw return significantly improved the mass ratio of large macro‐aggregates (LM%) and small macro‐aggregates (SM%) but significantly decreased the mass ratio of micro‐aggregates (MI%) and silt plus clay‐size particles (CS%), with mean effect sizes of 36.27%, 9.06%, −8.26%, and −21.32%, respectively. The mean weight diameter (MWD) and geometric mean diameter (GMD) also increased by 21.48% and 15.64%, respectively. Compared with SM%, LM% made a greater contribution to the stability of soil aggregates. Moreover, only LM% showed a significant positive correlation with the corresponding aggregate‐associated nitrogen content, which was an important reason for the improvement in soil nitrogen availability after straw return. The positive effect of straw return on soil aggregation was greatest when the soil pH was close to 6.5–7.5, the average annual temperature was greater than 15°C, and the average annual rainfall was close to 800–1000 mm. The results of the pot experiment revealed that the proportions of straw‐derived nitrogen in &gt;2 mm aggregates were 1.21–1.28, 1.50–2.23, and 1.34–1.74 times greater than those in 0.25–2, 0.053–0.25, and &lt;0.053 mm aggregates, respectively. Moreover, the proportion of straw‐derived nitrogen content of aggregates of different particle sizes showed that the proportion of straw used to reach 0.5% of the soil dry weight was greater than 0.3%, which was 1.09–1.66 times greater, and that of soybean straw was significantly greater than that of corn straw, which was 1.50–2.28 times greater. At application rates of 60 g pot−1 and 100 g pot−1 straw, the absorption of soybean straw‐derived nitrogen by wheat was 1.83 and 2.15 times greater than that of corn straw‐derived nitrogen, respectively. In conclusion, straw return effectively improved soil aggregate stability and nitrogen availability, which was closely related to the increase in soil LM%. Soybean straw can stabilize soil aggregates better than corn straw, and its straw‐derived nitrogen is an important nitrogen source for subsequent wheat crops.