Self-Concept Correlates between At-Risk and Not-At-Risk Ninth-Grade Students

1995 ◽  
Vol 76 (2) ◽  
pp. 683-687 ◽  
Author(s):  
Mary H. Jackson ◽  
Kimberly B. Reddick ◽  
Richard G. Dubes
Keyword(s):  
At Risk ◽  
Ninth Grade ◽  
Self Concept ◽  
Dropping Out ◽  
Satisfaction Scale ◽  
Ninth Grade Students ◽  
Not At Risk ◽  
Multivariate Discriminant ◽  
Item Scale

This study examined whether the Tennessee Self-concept Scales could be used to discriminate among 43 ninth-grade students who were designated as being at risk of dropping out of high school and 47 students who were thought to show probability of persisting. Scores on the scales were submitted to stepwise multivariate discriminant analysis. Scores on the Self-satisfaction Scale constituted a linear function that correctly classified 72.22% of the subjects. Further investigation confirmed a 13-item scale selected from the Tennessee Self-concept Scales correctly identified the classification of 76.67% of the students.

scholarly journals Academic performance of secondary education students in socio-familial risk contexts

2021 ◽  
Vol 28 (2) ◽  
Author(s):  
Daniel Rodríguez-Rodríguez ◽  
◽  
Remedios Guzmán ◽  
Keyword(s):  
At Risk ◽  
Academic Performance ◽  
Secondary Education ◽  
Self Efficacy ◽  
At Risk Students ◽  
Familial Risk ◽  
Course Evaluation ◽  
Self Concept ◽  
Cognitive Variables ◽  
Not At Risk

Introduction: The relationship that socio-familial and non-cognitive variables have on students in regards to their academic performance is a very important element for success in Secondary Education. In this study the influence of non-cognitive variables (academic self-concept, self-efficacy and perceived family affective support) and socio-familial variables (educational level and expectations of each parent) on the academic performance of secondary school students were analysed. Method: Students were grouped according to their accumulated socio-familial risk index (at-risk students, n = 305; not-at-risk students, n = 991). To measure the variables, the scales What do you think of yourself, General Self-Efficacy and Perceived Family Support were used. Socio-family variables were measured with an ad hoc questionnaire, and academic performance with the end-of-course evaluation scores. Results: The receiver operating characteristic curve showed a decrease in students’ academic performance from three or more accumulated risks. Structural Equation Modelling (SEM) was performed for each group. The results showed that for at-risk students, academic performance was mainly determined by two variables: academic self-concept and self-concept; in contrast to the not-at-risk students in which self-efficacy was the one that had the greatest effect on performance. In both groups, the parents’ expectations were the family variable with the highest incidence being performance, although, for the at-risk group, the effect was greater. Conclusions: The relevance of the identification of non-cognitive and socio-familial variables on the academic performance of at-risk students in regards to secondary education due to socio-familial factors is discussed.

EFFICACY OF ONLINE VS. FACE-TO-FACE CREDIT RECOVERY COURSES FOR HELPING AT-RISK NINTH-GRADE STUDENTS IN THE UNITED STATES GET BACK ON TRACK

2017 ◽  
Author(s):  
Nicholas Sorensen ◽  
Jessica Heppen ◽  
Elaine Allensworth ◽  
Kirk Walters ◽  
Jordan Rickles ◽  
...  
Keyword(s):  
United States ◽  
At Risk ◽  
The United States ◽  
Ninth Grade ◽  
Credit Recovery ◽  
Face To Face ◽  
Ninth Grade Students

scholarly journals RELATING ACADEMIC SELF-CONCEPT WITH SELF-HANDICAPPING OF STUDENTS OF NINTH GRADE: A STUDY OF SOUTH INDIA

2020 ◽  
Vol 2 (1) ◽  
pp. 82-94
Author(s):  
Sameer Babu M ◽  
Selvamari S
Keyword(s):  
South India ◽  
Sampling Technique ◽  
Significant Negative Correlation ◽  
Ninth Grade ◽  
Self Concept ◽  
Cluster Sampling ◽  
School Students ◽  
Government Schools ◽  
Positive Variation ◽  
Ninth Grade Students

Purpose of the existing study is to find out the relationship between Academic Self-Concept, and Self-Handicapping of ninth grade students. Method of the study was Survey, and multistage cluster sampling technique was used for the study; 204 secondary school students, from seven government schools of Thiruvananthapuram educational sub-district of Kerala, South India, were used sample of the study. Academic Self-Concept Scale and Self-Handicapping scales were used to collect data. The results show that there is a statistically significant correlation between the variables (p< 0.01). Thus it is interpreted there is a significant negative correlation between the variables Academic Self-Concept and Self-Handicapping. That is, an increase/positive variation in Academic Self-Concept will make a corresponding decrease/variation in Self-Handicapping of students from ninth grades, and vice-versa.

Differentiating Among Delinquent, At-Risk, and Not At-Risk Adolescents Using a Multidimensional Model of Self-Concept

2000 ◽  
Vol 10 (1) ◽  
pp. 69-80 ◽  
Author(s):  
Tania Marie Bianco ◽  
Stephen Houghton ◽  
Davina French ◽  
Miguel Fernandez
Keyword(s):  
At Risk ◽  
Exploratory Study ◽  
Justice System ◽  
Juvenile Justice System ◽  
School Context ◽  
Self Concept ◽  
At Risk Youth ◽  
Multidimensional Model ◽  
Not At Risk ◽  
At Risk Adolescents

This exploratory study sought to differentiate 24 delinquent, 30 at-risk and 30 not at-risk adolescent males according to a multidimensional model of self-concept. Participants completed the Song and Hattie Test of Self-Concept (1992), which consists of seven dimensions of self-concept; namely, achievement self-concept, ability self-concept, classroom self-concept, family self-concept, peer self-concept, physical self-concept and confidence in self.Significant differences between the not at-risk, at-risk and delinquent groups were found across six of the seven dimensions of self-concept. Implications of these findings suggest an effective procedure for differentiating between not at-risk and at-risk youth within the school context, prior to involvement with the Juvenile Justice system. The implications for intervention are discussed.

Smaller twins are not at risk of neonatal morbidity compared to their larger co-twins

2008 ◽  
Vol 29 (S 2) ◽  
Author(s):  
KJ Oh ◽  
JH Lee ◽  
JH Kang ◽  
CW Park ◽  
JS Park ◽  
...  
Keyword(s):  
At Risk ◽  
Neonatal Morbidity ◽  
Not At Risk

scholarly journals Sarcopenia and Malnutrition Screening in Female Osteoporosis Patients—A Cross-Sectional Study

2021 ◽  
Vol 10 (11) ◽  
pp. 2344
Author(s):  
Franca Genest ◽  
Dominik Rak ◽  
Elisa Bätz ◽  
Kerstin Ott ◽  
Lothar Seefried
Keyword(s):  
At Risk ◽  
Risk Groups ◽  
Cross Sectional Study ◽  
Mineral Density ◽  
Cross Sectional ◽  
Functional Deficits ◽  
Complementary Approach ◽  
Study Results ◽  
Patients At Risk ◽  
Not At Risk

Sarcopenia and malnutrition are important determinants of increased fracture risk in osteoporosis. SARC-F and MNA-SF are well-established questionnaires for identifying patients at risk for these conditions. We sought to evaluate the feasibility and potential added benefit of such assessments as well as the actual prevalence of these conditions in osteoporosis patients. We conducted a cross-sectional, single-center study in female osteoporosis patients ≥ 65 years (SaNSiBaR-study). Results of the sarcopenia (SARC-F) and malnutrition (MNA-SF) screening questionnaires were matched with a functional assessment for sarcopenia and data from patients’ medical records. Out of 107 patients included in the analysis, a risk for sarcopenia (SARC-F ≥ 4 points) and a risk for malnutrition (MNA-SF ≤ 11 points) was found in 33 (30.8%) and 38 (35.5%) patients, respectively. Diagnostic overlap with coincident indicative findings in both questionnaires was observed in 17 patients (16%). As compared to the respective not-at-risk groups, the mean short physical performance battery (SPPB) score was significantly reduced in both patients at risk for sarcopenia (7.0 vs. 10.9 points, p < 0.001) and patients at risk for malnutrition (8.7 vs. 10.5 points, p = 0.005). Still, confirmed sarcopenia according to EWGSOP2 criteria was present in only 6 (6%) of all 107 patients, with only 3 of them having an indicative SARC-F score. Bone mineral density was not significantly different in any of the at-risk groups at any site. In summary, applying SARC-F and MNA-SF in osteoporosis patients appears to be a complementary approach to identify individuals with functional deficits.

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