Significant Multiple Correlation Research Articles

Prediction of Women’s Marital Intimacy Based on Sexual Satisfaction and Health Literacy among Husbands with Diabetes in Ahvaz, 2021

Objective: Health literacy improves self-regulation and management of diabetes through proper diets in diabetic men. As a result, they will gain more knowledge about the effects of this disease on marital life and sexual relationships. The present study aimed to investigate the relationship between women’s marital intimacy with sexual satisfaction and health literacy among husbands with diabetes.
 Materials and Methods: The method of the present research was descriptive and correlational. The statistical population of the study included all male patients with diabetes and their wives in Ahvaz in 2021. Convenience sampling was done to select 140 diabetic men with their wives as the research sample. The research instruments included the Intimacy Questionnaire in Marital Relationships, the Index of Sexual Satisfaction, and Health Literacy for Iranian Adults. Pearson's correlation coefficient and simultaneous regression analysis were used for data analysis.
 Results: According to the results, sexual satisfaction and health literacy in diabetic men had significant positive relationships with the women’s marital intimacy (P< 0.001). Furthermore, regression results indicated that sexual satisfaction and health literacy had significant multiple correlations with marital intimacy (P< 0.001).
 Conclusion: The results highlighted the growing importance of paying attention to the roles of women’s sexual satisfaction and their diabetic husbands' health literacy in improving marital intimacy and strengthening both family and marital relationships

A Comparative Analysis of Changes in Temperature and Precipitation Extremes since 1960 between China and Greece

The temporal and spatial variations of 26 extreme temperature and precipitation indices for China and Greece were comparatively analysed. Also, their association with atmospheric circulation types was evaluated using multiple linear regression. The calculation of the extreme indices was based on homogenized daily temperature and precipitation time series from 1960 to 2010 for Greece and 2021 for China. Extreme precipitation, intensity, and short-term heavy precipitation increased, while persistent heavy precipitation has decreased since 1960 in China. Short-term heavy precipitation has also shown an increasing trend in Greece, though total precipitation and persistent heavy precipitation decreased there between 1960 and 2010. Extreme cold events have tended to decrease, and extreme warm events have increased in both countries, a fact that can be attributed to global warming. For comparison, climatic warming in China was mainly seen in the half year of winter, while the extreme indices relevant to cold seasons such as FD0 and ID0 presented a small trend in Greece. The observed changes in many climatic indices, including RX5day and WSDI in China and R20MM, RX5day, CDD, PRCPTOT and FD0 in Greece, could be partly explained by those of the main large-scale circulation types in the corresponding regions. The significant multiple correlation coefficients of the main circulation types were up to 0.53 for RX5day and 0.54 for WSDI in China, and 0.74 for PRCPTOT and 0.71 for R20MM in Greece. The relationships between climatic indices and circulation types were closer in Greece than in China, especially for the precipitation indices.

Management Skills as Determinant for Selecting Management Model Among Sports Managers in Kwara State, Nigeria

Knowledge, understanding and displaying good management skills will help sports managers of the sports organization to position the teams and clubs. Descriptive correlation study carried out using a survey method for this study. Purposive sampling technique was used to select 85 sports managers of the sports organization. Data were collected using self-developed questionnaire as an instrument. The entire questionnaire yielded a reliability value of 0.77r. Data were analysed using multiple linear Regression at the 0.05 alpha levels.The findings show significant multiple correlations. The regression indicated that the management skills was a good contributor for the selection of management model (F (4, 95) = 2.267, P ˂ .000). Based on the findings of this study, the researcher concluded that management skills contribute to the selection of the management model. Recomendation on government and stakeholder in the state should organize seminar, workshop and training for sports managers of the sports organizations in Kwara state for them to have knowledge on management skills which is crucial to their job.

PENGARUH KEPEMIMPINAN KEPALA SEKOLAH DAN KOMPETENSI GURU TERHADAP PRESTASI KERJA GURU

The work performance of a teacher today is an inseparable part of our world of education. Currently, being a quality teacher has become an absolute requirement. There are many factors that influence the creation of teacher performance in the school organizations. Some of them are related is principal leadership and teacher performance role. The research aim of this research is to note how the relationship between principal leadership and teacher competence partially and can be influenced teacher performance at SMP Widya Nusantara, Bekasi, West Java. This research method is through a quantitative approach with a questionnaire obtained from 30 respondents. The research result shows that there is a positive and significant relationship between principal leadership and teacher performance. This matter can be observed from t value (5,291) > t table (1,703), then Ho unaccepted and H1 accepted. There is also positive and significant relationship between teacher competence with teacher performance. This matter can be observed from t value (8,307) > t table (1,703), then Ho unaccepted and H2 accepted. From this calculation significant coefficient multiple correlation test obtainable F value = 17,482 > F table at the error level (a) 1% = 7,677. Therefore, it can be concluded that the correlation coefficient between principal leadership and teacher competence is in accordance with teacher performance is significant. It means Ho unaccepted and H3 accepted, in the sense is principal leadership (X1) and teacher competence (X2) is in accordance positively related and significant to performance teacher variable (Y) at SMP Widya Nusantara. Whereas, Correlation Coefficient Value (r) as big as 0,751 means is 75,1% of principle leadership and teacher competence are related to teacher performance at SMP Widya Nusantara, whereas the rest as big as 24,9% related to other factors that unobserved by the researcher.

Where will widening occur in an outwash braidplain? A new approach to detecting controls on fluvial lateral erosion in a glacierized catchment (north‐western Spitsbergen, Svalbard)

AbstractThe dynamics of fluvial system evolution depend on fluvial processes and their driving forces associated with climatic variations, which affect changes in the morphology of river channels and floodplains. Neither channel slope and morphology, nor the properties of fluvial sediment have previously been considered as determinants of active braidplain widening on outwash plains (formed from valley/alpine glaciers and confined by pre‐existing topography) in the High Arctic region and in the forefields of retreating glaciers. Factors determining widening of braidplain activity of the Waldemar River outwash (north‐western Spitsbergen, Svalbard) were analysed on the basis of geomorphological, sedimentological, glaciological and meteorological research, and indicate significant multiple correlations between meltwater discharge, precipitation, braidplain width, morphology of the braided channel and the textural features of braidplain deposits. The capability of multivariate adaptive regression splines to detect these relationships was described, and threshold values were identified. The results indicate that the rate of active braidplain widening is proportional to the meltwater outflow in proglacial rivers, which can decrease despite a growing rate of glacial ablation. A proposed model enables us to predict zones of braidplain prone to widening activity in the High Arctic (humid) outwash fans and plains as well as fans developed in arid intermountain basins. The necessary conditions to activate braidplain widening processes were (1) spatial changes in the outwash feeding system due to glacier terminus retreat and (2) crossing the thresholds in passive factors (S and d50) controlling lateral erosion intensity. As a result, the braidplain reached a new dynamic equilibrium, in which high‐magnitude–low‐frequency extreme meltwater discharges were of particular importance in terms of braidplain dynamics and are the dominant controls on the pattern of distributary channels.

Updating the significance and paleoclimate implications of magnetic susceptibility of Holocene loessic soils

Mass specific magnetic susceptibility variation with depth along soil profiles developed on loess parent material is one of the most frequently used physical parameter in local, regional and global correlations of loess deposits. It is also utilized as a paleo-precipitation proxy, defined either as absolute difference between susceptibilities of the enhanced B-horizon and parent loess C-horizon; or relative enhancement, using ratios of magnetic parameters. In the present study we compare and analyze the applicability of various approaches in establishment of the empirical relationships between pedogenic magnetic enhancement of Holocene soils from Bulgarian lower Danube area, published data from cCentral and Eastern Europe, and the Chinese loess, and climate parameters – mean annual precipitation (MAP) and mean annual temperature (MAT). Unlike previous studies, which compile data from soils, developed on various parent materials, using maximum magnetic susceptibility of the B-horizon and mean of the C-horizon, we strictly utilize soils, developed on loess material only and consider minimum susceptibility signal in the underlying loess unit. The data analysis shows that minimum magnetic susceptibility of the parent loess exhibits strong relation to climate’s parameters as well. We show that by using minimum magnetic susceptibility of the C-horizon to correct for the detrital input, pedogenic enhancement shows significant multiple correlation with both MAP and MAT. This relationship is different for Chinese and European sites but it is not retained for sites, located at low river terraces, Black sea coast and soils having increased coarse silt and sand content. Grouping the sites according to present day vegetation cover reveals the presence of uniform linear relationship between pedogenic susceptibility enhancement and climate parameters mostly for locations with steppe vegetation, while mixed steppe-forest and forest sites reveal more scattered and steeper relation to MAT and MAP variations.

Spatio-Temporal Variations of Winter Phytoplankton Blooms Northwest of the Luzon Island in the South China Sea

Phytoplankton is a key component of marine ecosystems. Winter phytoplankton blooms are frequently observed northwest of Luzon Island in the South China Sea. In this study, with the multi-satellite merged ocean color remote sensing data from November 1999 to February 2015, we examine the spatial and temporal changes of chlorophyll-a (Chl-a) concentration and further investigate its response to physical environment parameters including wind speed, Ekman transport, Ekman pumping velocity, sea surface temperature, and sea level anomalies in the region northwest of Luzon Island. The main factors affecting the distribution of Chl-a are discussed by using the partial correlation analysis and multiple stepwise linear regression analysis. The results show that centers of winter Chl-a blooms northwest of Luzon Island often occur near 119.5°E, 19.5°N. The significant multiple correlation (r = 0.76, p < 0.01) between Chl-a and oceanic conditions indicates that both the wind component parallel to the coastline and the wind stress curls enhance the winter upwelling in the study area, consistent with previous studies. A novel finding in the present study is that the winter bloom center is located north of the upwelling center, attributed to the advection effect of the northward background coastal flow.

Evapotranspiration estimation using three-temperature model and influencing factors of Nanning City, China

Evapotranspiration is the key element of hydrological energy cycle and climate system. It is of great significance to estimate the spatiotemporal variation of evapotranspiration and its response to climate and land use changes for understanding the effects of water cycle and ecological processes in urban basins. Based on the three-temperature model and MODIS Image, we estimated and analyzed the spatiotemporal variation of evapotranspiration in Nanning City from 2001 to 2018, and examined the influence and driving mode of main climate factors and land use types on evapotranspiration. The results showed that the annual average evapotranspiration of Nanning City ranged from 495.7 to 781.1 mm during 2001-2018, with the inter annual relative variability ranging from -22.5% to 23.1%, showing an overall upward trend. The regional evapotranspiration showed a distribution pattern of high north-south and low middle, with the urban evapotranspiration being significantly lower than suburban area. The evapotranspiration had a significant multiple correlation with climate factors. The influence of temperature on the evapotranspiration was stronger than precipita-tion. Evapotranspiration was temperature driven in suburbs, but was driven by multiple factors in urban area. The average evapotranspiration of different land use types in Nanning was forests (823.4 mm) > grasslands (675.6 mm) > croplands (582.9 mm) > urban area (346.6 mm). The change of land use type was the main underlying surface factor leading to the significant change of regional evapotranspiration.

The Simple and Multiple Relationships of the Organizational Justice with the Job Satisfaction of the Personnel of an Industrial Orga

This research was conducted to study the simple and multiple relationships between the organizational justice and job satisfaction of the employees of an industrial organization. The variable of organizational justice deals with the ways and methods of conduct with the personnel of organizations to feel that they are treated fairly. This variable is comprised of three components: Distributional justice, procedural justice, and interactional justice. It was hypothesized that organizational justice is positively related to job satisfaction. The sample consisted of 268 employees of an industrial organization, selected via a stratified random sampling method. Simple and multiple correlations were used to analyse the data. The results indicated that the organizational justice had a significant correlation coefficient r=.61 with the job satisfaction. In addition, the variable of organizational justice and its three componets were correlated positively with the five subscales of job satisfaction; that is, satisfaction with the nature of work, supervision,coworkers, pay and promotion. Results of a multiple regression analysis also showed that the three components of organizational justice had significant multiple correlations with the job satisfaction and its five subscales

Body mass estimation for circum-Pacific Asian people based on somatometric data.

Multiple regression approaches for estimating body mass by somatometry typically use stature and biiliocristal breadth. However, these measures were obtained largely from Europeans, Africans, and Indo-Mediterraneans, whereas mid-latitude Asians were not broadly reflected. Thus, new estimation formulas for circum-Pacific Asians were devised, and the accuracy was evaluated using raw individual data. Targeting Asians in the traditional society or before the 1960s and performing multiple regression analysis (MRA) with body weight as the objective variable, and stature, body breadth, and product of head length/breadth (HLBpr) as explanatory variables. The target population was divided into four climate groups, and the formulas were prepared for each sex or the combined-sexes. The MRA by stature and body breadth indicated significant multiple correlation coefficients (R) in many formulas. R was higher in the combined-sexes. Among the four climate groups, the temperate group showed the highest R. In the East/Southeast Asians, R exceeded 0.8 in the MRA by stature and HLBpr. Substituting the raw data of 19th-century Japanese males, the temperate group formulas presented the least error, and the error in all the formulas using body breadth was <2kg. As body mass index varies significantly depending on some climatic factors, estimation formulas mixed with various climate groups are not desirable because of the large errors. For the mid-latitude Asians, the temperate group formulas are expected to have a smaller error; however, in the group where the proportion of underweight individuals was originally high, any formula tends to be overestimated.

A Meta-Analysis of Neuropsychological Predictors of Outcome Following Stroke and Other Non-Traumatic Acquired Brain Injuries in Adults.

A number of cognitive abilities have been reported to predict outcome following a non-traumatic acquired brain injury (ABI) in adults. However, the results are inconsistent. Furthermore, the unique and combined capacity of these cognitive abilities to predict ABI outcome has not been evaluated. Consequently, we employed meta-analysis and multiple regression to evaluate the capacity of various neuropsychological domains to predict two separate outcome variables in adults: (1) activities of daily living; and (2) quality of life. Based on the activities of daily living meta-analysis (N = 2384), we estimated the following significant bivariate effects: memory (r = .31, 95% CI: .20/.41]), language (r = .33, 95% CI:.26/.40), attention (r = .38, 95% CI: .30/.46]), executive functions (r = .29, 95% CI:.19/.39]), and visuospatial abilities (r = .41, 95% CI: .34/ .48). Based on the quality of life meta-analysis (N = 1037), we estimated the following significant bivariate effects: memory (r = .12, 95% CI: .03/.20]), language (r = .19, 95% CI: .06/ .32), attention (r = .30, 95% CI: .16/.44]), executive functions (r = .24, 95% CI: .12/.37) and visuospatial/constructional abilities (r = .30, 95% CI: .14/.46). Meta-analytic structural equation modelling (metaSEM) identified two significant, unique predictors of activities of daily living, attention and visuospatial abilities, and the model accounted for 21% of the variance (multiple R2 = .21, 95%CI: .16/.26). For the corresponding quality of life metaSEM, no statistically significant unique predictors were identified, however, a significant multiple correlation was observed, multiple R2 = .11 (95%CI: 04/.18). We conclude that practitioners may be able to predict, with some degree of accuracy, functional outcome following a stroke and other non-traumatic ABI in adults. We also provide some critical commentary on the nature and quality of the measures used in this area of research to represent the cognitive dimensions of interest.

Using HJ-CCD image and PLS algorithm to estimate the yield of field-grown winter wheat

Remote sensing has been used as an important means of estimating crop production, especially for the estimation of crop yield in the middle and late growth period. In order to further improve the accuracy of estimating winter wheat yield through remote sensing, this study analyzed the quantitative relationship between satellite remote sensing variables obtained from HJ-CCD images and the winter wheat yield, and used the partial least square (PLS) algorithm to construct and validate the multivariate remote sensing models of estimating the yield. The research showed a close relationship between yield and most remote sensing variables. Significant multiple correlations were also recorded between most remote sensing variables. The optimal principal components numbers of PLS models used to estimate yield were 4. Green normalized difference vegetation index (GNDVI), optimized soil-adjusted vegetation index (OSAVI), normalized difference vegetation index (NDVI) and plant senescence reflectance index (PSRI) were sensitive variables for yield remote sensing estimation. Through model development and model validation evaluation, the yield estimation model’s coefficients of determination (R2) were 0.81 and 0.74 respectively. The root mean square error (RMSE) were 693.9 kg ha−1 and 786.5 kg ha−1. It showed that the PLS algorithm model estimates the yield better than the linear regression (LR) and principal components analysis (PCA) algorithms. The estimation accuracy was improved by more than 20% than the LR algorithm, and was 13% higher than the PCA algorithm. The results could provide an effective way to improve the estimation accuracy of winter wheat yield by remote sensing, and was conducive to large-area application and promotion.

Predicting grain protein content of field-grown winter wheat with satellite images and partial least square algorithm.

Remote sensing has been used as an important means of modern crop production monitoring, especially for wheat quality prediction in the middle and late growth period. In order to further improve the accuracy of estimating grain protein content (GPC) through remote sensing, this study analyzed the quantitative relationship between 14 remote sensing variables obtained from images of environment and disaster monitoring and forecasting small satellite constellation system equipped with wide-band CCD sensors (abbreviated as HJ-CCD) and field-grown winter wheat GPC. The 14 remote sensing variables were normalized difference vegetation index (NDVI), soil-adjusted vegetation index (SAVI), optimized soil-adjusted vegetation index (OSAVI), nitrogen reflectance index (NRI), green normalized difference vegetation index (GNDVI), structure intensive pigment index (SIPI), plant senescence reflectance index (PSRI), enhanced vegetation index (EVI), difference vegetation index (DVI), ratio vegetation index (RVI), Rblue (reflectance at blue band), Rgreen (reflectance at green band), Rred (reflectance at red band) and Rnir (reflectance at near infrared band). The partial least square (PLS) algorithm was used to construct and validate the multivariate remote sensing model of predicting wheat GPC. The research showed a close relationship between wheat GPC and 12 remote sensing variables other than Rblue and Rgreen of the spectral reflectance bands. Among them, except PSRI and Rblue, Rgreen and Rred, other remote sensing vegetation indexes had significant multiple correlations. The optimal principal components of PLS model used to predict wheat GPC were: NDVI, SIPI, PSRI and EVI. All these were sensitive variables to predict wheat GPC. Through modeling set and verification set evaluation, GPC prediction models' coefficients of determination (R2) were 0.84 and 0.8, respectively. The root mean square errors (RMSE) were 0.43% and 0.54%, respectively. It indicated that the PLS algorithm model predicted wheat GPC better than models for linear regression (LR) and principal components analysis (PCA) algorithms. The PLS algorithm model’s prediction accuracies were above 90%. The improvement was by more than 20% than the model for LR algorithm and more than 15% higher than the model for PCA algorithm. The results could provide an effective way to improve the accuracy of remotely predicting winter wheat GPC through satellite images, and was conducive to large-area application and promotion.

PENGARUH KOMPETENSI DOSEN, KURIKULUM DAN MOTIVASI TERHADAP PRESTASI BELAJAR MAHASISWA

ABSTRACTThis study aims to determine the effect of curriculum competence and motivation on studentachievement in the Faculty of Islamic Studies. The form of survey research is quantitative, that is researchconducted to look for the effect of curriculum, lecturer competence and motivation on student achievementin the Islamic Faculty of Tarbiyah Department of Islamic Studies Laa Roiba, Bogor Regency. The researchmethod used in this study is a survey method. This research is correlational because the research seeks toinvestigate the relationship between several research variables namely competence, curriculum andmotivation variables on learning achievement. This correlation study will use correlation and regressionanalysis. In this study there are three independent variables, namely competence (X1), Curriculum (X2),and motivation (X3) to the dependent variable namely learning achievement (Y). The three independentvariables (X1, X2, and X3) are related to the dependent variable (Y). The results showed that there was apositive influence between lecturer competence (X1) on learning achievement (Y). This is indicated by thecorrelation coefficient of 0.921 with the significance of the correlation coefficient of tcount of 3.967 andthe significance of the regression coefficient of Fcount of 51.930 which is very significant at α = 0.05. forthe curriculum (X2) of learning achievement (Y). There is a positive influence. This is indicated by thecorrelation coefficient of 0.914 with the significance of the correlation coefficient of tcount of 8,547 andthe significance of the regression coefficient of Fcount of 51,930 which is very significant at α = 0.05, andfor motivation (X3) for achievement of learning outcomes (Y). This is indicated by the correlationcoefficient of 0.940 with the significance of the correlation coefficient of tcount of 3.189 and the significanceof the regression coefficient of Fcount of 51.930 which is very significant at α = 0.05, while the results of theanalysis of lecturer competencies (X1), curriculum (X2), and motivation (X3) are together on theachievement of learning outcomes (Y) has a significant multiple correlation coefficient with a value of0.858 with the significance of the multiple regression coefficient Fcount 51.930. In this study shows theimportance of lecturer competency, curriculum and motivation variables in an effort to improve studentlearning outcomes and it can be concluded that as an educator must have competence, understand thecurriculum and provide motivation to students, student achievement will increase and vice versa if as aneducator do not have good competence, do not understand the curriculum and lack of motivation tostudents, learning achievement will decrease.Keywords:: Effect of Competence, Curriculum, Motivation on, Learning Achievement

How is Students’ Personality towards the Environment Predicted by Students’ Attitude and Locus of Control?

The objective of this research is to find out whether there is a correlation between Students’ Attitude and Locus of Control with Personality towards the Environment. For these purposes a survey method has been applied by involving 120 primary school students, in Jakarta which was selected randomly. There were three instruments developed on this research namely instrument for measuring Personality towards the Environment, Students’ Attitude and Locus of Control. Hypotheses have been tested by applying F-test through ANOVA for simple and multiple regression, and correlation as well. Research results show that there is a positive a significant correlation found between Students’ Attitude and Locus of Control with Personality towards the Environment. Moreover, there is a positive and still significant found between those variables after each of those independent variables were controlled by calculating partial correlation. It is also found a positive and significant multiple correlation between those variables. It should be concluded that if students’ personality towards the environment would be improved therefore, students’ attitude and locus of control could be taken into account.

The Impact Of Short Run Distances To The Final Results Of The Decathlon At The 2019 Athletic World Championships

Athletic operates on the basis of a particular system of knowledge that has in its contentthe theoretical and methodological foundations of sport training (Rashiti N, Nika F, Bekolli L, Heta G.) 2017. Athletic is one of the types of sports, with complex and applicable character, consisting of large groups, which include different athletic types, with similar characteristics among them; our treatment is athletic decathlon.(Dibra F.)2006. The decathlon is a complexcombined event in athletic consisting of ten track and field events.Olympic men’s decathlons are divided into a two-day competition. The evaluation is done by points.Men’s decathlonconsists of:100m,Long jump,Shot put,High jump, 400m (Day 1); 110m hurdles,Discus throw,Pole vault,Javelin throw,1500m(Day 2).The main purpose of this paper was to verify that from the disciplines of the Decathlon:Long jump,Shot put,High jump, Discus throw,Pole vault,Javelin throw and1500m,as predictor (independent) variables will have an impact on the performance of specific motor tasks, respectively the execution of disciplines pertaining to short-distance running:100m, 110m hurdles and 400mas well as to determine the impact of these short-distance running to the final result of the decathlon knowing that these disciplines in athletics are largely genetically determined.(Misja B.) 2012The sample for the purposes of this paper will include 10 first contestants of decathlons World Championship: September 27 and October 6, 2019 in Doha, Qatar.In this research, after obtaining a statistically significant multiple correlation (R = 0.936) it is necessary to search for the coefficient in the (Beta) column as well as the (t-test) value indicating the influence of each predictor variable (independent) in the dependent or criterion variable 400m.We can emphasize that the test (F-test) is always more valuable if the multiplex correlation is greater, in this case it is significant (Sig = 0.000), because the value of the F-test is 15,347.A statistically significant multiple correlation was obtained (R = 0.958); it is necessary to search for the coefficient in the (Beta) column as well as the (t-test) value indicating the influence of each predictor (independent) variable in the dependent variable or criterion 110 m.In this research, after obtaining a statistically significant multiple correlation (R = 0.958), it is necessary to search for the coefficient in the (Beta) column as well as the (t-test) value indicating the influence of each predictor variable (independent) in the dependent or criterion variable) 100 m.

Relationship between Learning Styles and Research Morale among Iranian Second Grade High School Students

Consideration to the learning styles benefits students to participate more enthusiastically in the class activities and to be more confident in answering questions asked by the teacher. This study aimed to investigate the relationship between learning styles and research morale among students of the second grade high school in Shiraz, Iran. Population of the study included all students of the second grade high school in four areas of Shiraz in the academic year of 2015- 2016. A number of 345 students were selected using multi-stage cluster sampling method. Research tools included the Kolb’s learning style questionnaire and the research morale questionnaire by Mohammadsharifi (2013). The results were analyzed by SPSS and Lisrel Software’s. Results showed that the dominant learning style among the students was a convergent learning style. No difference was seen between research morale of male and female students. Among all learning styles, convergent and divergent styles had a significant association with research morale. Moreover, there was a significant multiple correlations between convergent, divergent, assimilation, and accommodative learning styles and research morale. The finding revealed that the two learning styles of convergent and divergent were stronger predictive of research morale. This study may confirm the role of learning styles in developing research morale and approve the hypothesis that in learning, both convergent and divergent styles should be considered.

Consequences of alcohol use, and its association with psychological distress, sensitivity to emotional contagion and age of onset of alcohol use, in Uruguayan youth with or without college degree.

Psychological distress can promote alcohol consumption during emerging adulthood. Still unknown is, however, how predisposition to emotional contagion alters psychological distress, and how these phenomena are affected by level of education. The present study analyzed the effect of psychological distress, age of first contact with alcohol (early, late), and predisposition to emotional contagion on alcohol-induced negative consequences and on the volume of alcohol consumed during the last year. We also described alcohol-use behaviors as a function of sex, maximum level of education and age of first contact with alcohol, in 1505 youth from Uruguay (18-30 years). A survey measured alcohol use (Alcohol Use Disorders Identification Test and ad-hoc questionnaire), negative consequences of alcohol use [young adult alcohol consequences questionnaire (YAACQ)], psychological distress (Kessler scale) and proclivity to emotional contagion (Doherty Emotional contagion scale). The patterns of alcohol use were greater in men vs. women and in those featuring an early age of first alcohol use, yet similar in college and non-college graduates. Early drinkers had greater levels of psychological distress than late-onset drinkers. There was a significant bivariate and multiple correlation between psychological distress and the number of negative consequences of alcohol experienced during the last year, which remained significant even after controlling for total volume of alcohol consumed. Significant associations emerged between YAACQ scores and frequency of heavy episodic or binge drinking, and between psychological distress and emotional contagion, but not between emotional contagion and any of the remaining variables. Psychological distress was not significantly correlated with heavy episodic or binge drinking. The study indicates that, during adolescence and youth, psychological distress is associated with experiencing negative consequences of alcohol consumption. The study also suggested that greater levels of psychological distress may underlie the facilitating effect of an early age of drinking onset upon alcohol drinking patterns.

PENGARUH KEPEMIMPINAN KEPALA SEKOLAH DAN PROFESIONALITAS GURU PENDIDIKAN TERHADAP HASIL BELAJAR SISWA

ABSTRACTThis study aims to determine the effect of curriculum competence and motivation on studentachievement in the Faculty of Islamic Studies. The form of survey research is quantitative, that is researchconducted to look for the effect of curriculum, lecturer competence and motivation on student achievementin the Islamic Faculty of Tarbiyah Department of Islamic Studies Laa Roiba, Bogor Regency. The researchmethod used in this study is a survey method. This research is correlational because the research seeks toinvestigate the relationship between several research variables namely competence, curriculum andmotivation variables on learning achievement. This correlation study will use correlation and regressionanalysis. In this study there are three independent variables, namely competence (X1), Curriculum (X2),and motivation (X3) to the dependent variable namely learning achievement (Y). The three independentvariables (X1, X2, and X3) are related to the dependent variable (Y). The results showed that there was apositive influence between lecturer competence (X1) on learning achievement (Y). This is indicated by thecorrelation coefficient of 0.921 with the significance of the correlation coefficient of tcount of 3.967 andthe significance of the regression coefficient of Fcount of 51.930 which is very significant at α = 0.05. forthe curriculum (X2) of learning achievement (Y). There is a positive influence. This is indicated by thecorrelation coefficient of 0.914 with the significance of the correlation coefficient of tcount of 8,547 andthe significance of the regression coefficient of Fcount of 51,930 which is very significant at α = 0.05, andfor motivation (X3) for achievement of learning outcomes (Y). This is indicated by the correlationcoefficient of 0.940 with the significance of the correlation coefficient of tcount of 3.189 and the significanceof the regression coefficient of Fcount of 51.930 which is very significant at α = 0.05, while the results of theanalysis of lecturer competencies (X1), curriculum (X2), and motivation (X3) are together on theachievement of learning outcomes (Y) has a significant multiple correlation coefficient with a value of0.858 with the significance of the multiple regression coefficient Fcount 51.930. In this study shows theimportance of lecturer competency, curriculum and motivation variables in an effort to improve studentlearning outcomes and it can be concluded that as an educator must have competence, understand thecurriculum and provide motivation to students, student achievement will increase and vice versa if as aneducator do not have good competence, do not understand the curriculum and lack of motivation tostudents, learning achievement will decrease.Keywords: Effect of Competence, Curriculum and Motivation on Learning Achievement

Geochemical evolution and quality assessment of groundwater resources at the downstream section of the Kano-Challawa River system, Northwest Nigeria

ABSTRACT This study was carried out to investigate the spatial variations and pollution source of the Kano-Challawa groundwater for the sustainable management of water resources. Seventy-two groundwater samples were collected from twelve sampling points (GW1-GW12) along the downstream of the Kano-Challawa River system and twenty-nine groundwater quality variables were analysed. The main findings from this study were: (1) Six varimax factors from principal component analysis were extracted and accounted for 80.660% of the total variance and revealed natural process of silicate mineral and anthropogenic influences are the major common sources of groundwater pollution. (2) Hierarchical cluster analysis grouped the sampling points into four clusters (group 1: GW8, GW11; group 2: GW1, GW5, GW10, GW12; group 3: GW7, GW3, GW4; group 4: GW2, GW6, GW12) based on similarities of the groundwater characteristics. (3) The Piper tri-linear plot revealed the five groundwater types: (Ca2+-Mg2+-Cl−) (Ca2+-Na+-) (Na+-Cl−) (Na+-) (Na+-) thereby indicating the nature of the groundwater chemistry of the Kano-Challawa River system. Furthermore, correlation coefficient analysis revealed the linear relationships among the chemical parameters, where the total dissolved solids (TDS) had significant multiple correlations with Na+, K+, Mg2+, Ca2+, and Cl− indicating the leaching of natural salts into the groundwater aquifer. The pH had a negative moderate to strong correlation with all the parameters except Ca2+, Na+, K+, and indicating an increase in the concentration of most of the constituents and the risk of salinization in the study area.