College Students’ Alcohol Knowledge: Mean, Standard Deviation, and Approximate 95% and 99.7% Rules

2016 ◽  
pp. 56-58
Keyword(s):  
College Students ◽  
Standard Deviation

MMPI-2 Scores of Puerto Rican, Mexican, and U.S. Latino College Students: A Research Note

2000 ◽  
Vol 87 (1) ◽  
pp. 266-268 ◽  
Author(s):  
Jose J. Cabiya ◽  
Denise A. Chavira ◽  
Francisco C. Gomez ◽  
Emilia Lucio ◽  
Jeanett Castellanos ◽  
...  
Keyword(s):  
United States ◽  
College Students ◽  
Puerto Rico ◽  
Standard Deviation ◽  
Puerto Rican ◽  
The United States ◽  
Clinical Scale ◽  
The Mean ◽  
The One ◽  
Scale Data

In this brief report, we present MMPI-2 basic validity and clinical scale data of Latino-descent persons from Puerto Rico ( n = 290), Mexico ( n = 1,920), and the United States ( n = 28). All were administered one of three Spanish translations of the MMPI-2. A review of the mean scores of these respective groups indicates similarities across all scales. Differences among these three groups, with the exception of the Mf scale (which is keyed to sex), were well within the one standard deviation band. More importantly, these findings are promising given the fact that three different translations of the MMPI-2 were applied.

scholarly journals An Exploratory Examination of the Use of Co-Occurrence Network Analysis to Assess the Anxiety and Beliefs in College Students When Performing Mathematical Computation

2020 ◽  
Author(s):  
Christoper Magalis ◽  
Rick Parente ◽  
Jaclyn Kenney
Keyword(s):  
College Students ◽  
Standard Deviation ◽  
Network Analysis ◽  
Math Anxiety ◽  
Rating Scales ◽  
Statistics Anxiety ◽  
Mathematical Computation ◽  
Deviation Problem

This study used used co-occurrence network analysis to study the experience of college students when solving statistics or algebra problems. Students generated words to describe their perceptions of solving a standard deviation problem and a quadratic computation. Results indicated that the statistics problem was associated with words indicating "anxiety" and "confusion". Conversely, words, such as "relaxed and "familiar" were used to describe solving the quadratic computation. Additionally, rating scales measuring statistics anxiety, math anxiety, and math helplessness, showed that meth anxiety tended to predict statistics anxiety for all students, above and beyond math helplessness. <br>

scholarly journals Physical Fitness Assessment: Concentrating on the 1st, 2nd And 3rd Year's College Students

2020 ◽  
Vol III (I) ◽  
pp. 1-5
Author(s):  
Muhammad Safdar Luqman ◽  
Zia-ul-Islam ◽  
Mehwish Manzoor
Keyword(s):  
College Students ◽  
Standard Deviation ◽  
Physical Fitness ◽  
Healthy Diet ◽  
Fitness Assessment ◽  
Teachers And Parents ◽  
Sports Activities

The main propose of the study was to concentrate assessment of physical fitness, especially to focus on the 1st, 2nd And 3rd Year's College students. In most of the advance countries of the globe, different test have been developed in accordance vicinity. Hence, the present study was carryout to develop test batteries for the physical fitness assessment. In this regards, 2340 students of 8th 9th and 10th classes were conveniently selected in the study. Mean and standard deviation were used to test the formulated hypotheses. Poor physical fitness among the students was found. Therefore, it was recommended that the teachers and parents should make it obligatory to take proper care of their students/children’s physical fitness by providing a healthy diet and also allow them to participate in sports activities.

scholarly journals An Exploratory Examination of the Use of Co-Occurrence Network Analysis to Assess the Anxiety and Beliefs in College Students When Performing Mathematical Computation

2020 ◽  
Author(s):  
Christoper Magalis ◽  
Rick Parente ◽  
Jaclyn Kenney
Keyword(s):  
College Students ◽  
Standard Deviation ◽  
Network Analysis ◽  
Math Anxiety ◽  
Rating Scales ◽  
Statistics Anxiety ◽  
Mathematical Computation ◽  
Deviation Problem

This study used used co-occurrence network analysis to study the experience of college students when solving statistics or algebra problems. Students generated words to describe their perceptions of solving a standard deviation problem and a quadratic computation. Results indicated that the statistics problem was associated with words indicating "anxiety" and "confusion". Conversely, words, such as "relaxed and "familiar" were used to describe solving the quadratic computation. Additionally, rating scales measuring statistics anxiety, math anxiety, and math helplessness, showed that meth anxiety tended to predict statistics anxiety for all students, above and beyond math helplessness. <br>

scholarly journals Exam anxiety in college students

2020 ◽  
Author(s):  
Nisha Pagaria
Keyword(s):  
College Students ◽  
Academic Performance ◽  
Standard Deviation ◽  
Gender Difference ◽  
Test Anxiety ◽  
Undergraduate Students ◽  
Female College Students ◽  
Male And Female ◽  
The Mean ◽  
Exam Anxiety

Test anxiety is a psychological condition in which individuals experience outrageous distress and anxiety in testing circumstances. It is a form of performance anxiety. Fear of exams influence the academic performance of students in the exam. It is an irrational distress that can also lead to avoidance of the feared situation. The objective was to study the level of test anxiety in college students and observe the gender difference in test anxiety. Using purposive sampling, the sample size consisted of 120 undergraduate students (Male = 60, Female = 60). The instrument used for the study was Westside Test Anxiety Scale. The mean score and standard deviation of test anxiety are 28.18and 7.65 respectively. The t-test was conducted to observe the gender difference in test anxiety. The results came out to be that there is a significance difference between male and female college students on test anxiety.

scholarly journals Evidence of factorial validity and accuracy of attitudes in mental health scale

2017 ◽  
Vol 34 (1) ◽  
pp. 97-106
Author(s):  
Patrícia Fonseca de SOUSA ◽  
◽  
Silvana Carneiro MACIEL ◽  
Ana Raquel Rosas TORRES ◽  
Tiago Jessé Souza de LIMA ◽  
...  
Keyword(s):  
Mental Health ◽  
College Students ◽  
Standard Deviation ◽  
Internal Consistency ◽  
Factorial Analysis ◽  
Factorial Validity ◽  
Mental Health Scale ◽  
Two Factors ◽  
Measurement Context ◽  
Exploratory Factorial Analysis

Abstract This study gathered evidence of factorial validity and internal consistency of the Attitudes in Mental Health Scale. Two studies were performed. A total of 404 college students, including women (69.6%) with a mean age of 24 years (Standard Deviation = 5.67), participated in Study 1. A total of 396 college students, including females (69.9%) with a mean age of 23 years (Standard Deviation = 5.41), participated in Study 2. In the first study, an exploratory factorial analysis indicated the existence of two factors (biomedical paradigm, α = 0.71; psychosocial paradigm, α = 0.66) with a total of 15 items. In the second study, a confirmatory factorial analysis indicated that the bifactorial model that was proposed for the scale was adequate: χ²/df = 2.41, GFI = 0.93 and RMSEA = 0.06, 90%IC [0.05 - 0.07]. The results concluded that this measure can be adequately applied in studies in the proposed measurement context.

scholarly journals PO-149 Taekwondo Exercise Improving Cardiopulmonary Function of Female College Students after 16 Weeks Intervention

2018 ◽  
Vol 1 (4) ◽  
Author(s):  
Chunhong Teng
Keyword(s):  
College Students ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Exchange Rate ◽  
Standard Deviation ◽  
Oxygen Uptake ◽  
Mean Value ◽  
Female College Students ◽  
Cardiopulmonary Function ◽  
Female College

Objective Taekwondo is one of the popular exercise styles to promote aerobic endurance for college students because of its combination of hands and feet and simple technology and interesting. This study observed the effect of Taekwondo on the cardiopulmonary function of female college students, trying to find the best heart rate in the teaching class of Taekwondo and evaluate the effect of maximal oxygen uptake and improve the basic theory of Taekwondo exercise to enhance students' aerobic endurance and provide theoretical reference for scientific methods to improve classroom practice intensity. Methods 1)This study used heart rate telemetry to perform a time domain analysis of heart rate variability in 10 university students in the Taekwondo class. The indicators used in the time domain analysis are: average RR interval value, standard deviation of RR interval (SDNN), standard deviation of the average of every 5 minutes R-R interval (SDANN), and standard deviation of R-R interval every 5 minutes The mean value (SDNNindex), the difference between adjacent NNs> the percentage of the number of total sinus beats per 50 ms (PNN50). By analyzing the information of these indicators, the sympathetic and vagal nerves are balanced. 2) The maximum oxygen uptake and respiratory exchange rate of 10 female college students were measured by the treadmill exercise load per breath method. The cardiopulmonary function of female college students was assessed by cardiopulmonary function indicators and heart rate variability indicators. Results 1) The R-R interval value, the mean value of the R-R interval standard deviation (SDNNindex), and the standard deviation (SDANN) of the R-R interval mean value per 5 min were increased after exercise intervention. The three indicators increased by 438.22ms, 0.87ms, and 64.67 ms, respectively; The standard deviation of the R-R interval (SDNN), the difference between adjacent NNs >50ms, the percentage of total sinus beats (PNN50) decreased.They dropped by 44.23ms and 0.06% respectively. With the increase of the sports load of Taekwondo students, the heart rate variability gradually decreases, showing a decline in the vagus nerve tension of female college students.2) The average relative oxygen uptake of female college students before the start of the course was 30.7ml (kg*min), 35 ml (kg*min) after the intervention, and the maximum oxygen uptake increased by 14.01%. The average respiratory exchange rate of female college students before the start of the course was 1.26, 1.28 after the course intervention, and the respiratory exchange rate increased by 1.59%. Conclusions 1) Taekwondo exercise reduces the heart rate variability of female college students, and long-term exercise can enhance the ability of the vagus nerve to control the heart. 2) Increased maximal oxygen uptake and respiratory exchange rate of female college students through Taekwondo course intervention.After a long period of Taekwondo exercise, it can effectively improve the aerobic endurance of college students and improve their cardiopulmonary function.（NSFC：31401018 SKXJX2014014).

scholarly journals Iranian Students’ Specific Life Style and Leisure Time; a Case Study of University of Tehran

2018 ◽  
Vol 5 (1) ◽  
pp. 48
Author(s):  
Ali Akbar Ramazaniandarzi ◽  
Yohan Nik ◽  
Mahdi Hajivand ◽  
Mohammad Reza Sattari
Keyword(s):  
College Students ◽  
Relaxation Time ◽  
Standard Deviation ◽  
Life Style ◽  
Leisure Time ◽  
Motion Pictures ◽  
Satellite Motion ◽  
Iranian Students

Leisure time as a modern social is being focused these days, albeit any sort of interest isn't specifically arranged under it. Inside this exploration the framing encounters of necessities and styles of college students were examined. In this examination it has been attempted by using Bourdieu hypothesis the exploration questions are proposed. The members of the examination are for the most part female and male understudies University of Tehran. The specimen was picked by the use of Cochran with the standard deviation of 0.4.5% 470 students. The outcomes demonstrated that members can isolate in two sections dynamic and idle style which the vast majority of interviewees are willing toward a dormant style of relaxation time. While the significant piece of understudies' chance is spent on the utilization of innovative devices conveniently. For sure, watching satellite motion pictures and arrangement, investing energy in broad daylight talk rooms, PC amusements, are only a misuse of understudies' opportunity.

Concurrent Validity of the PPVT-R for College Students

1984 ◽  
Vol 55 (3) ◽  
pp. 863-866 ◽  
Author(s):  
Sally B. Bing ◽  
John R. Bing
Keyword(s):  
College Students ◽  
Standard Deviation ◽  
Concurrent Validity ◽  
College Freshmen ◽  
Black College ◽  
Vocabulary Test ◽  
Peabody Picture Vocabulary ◽  
The Mean ◽  
Relationship Of ◽  
The Relationship

The relationship of the Peabody Picture Vocabulary Test Revised and the McGraw-Hill Basic Skills System was examined for 50 predominately black college freshmen and sophomores. Both Forms L and M of the PPVT-R correlated significantly (.34 to .58) with the Reading, Writing, and Vocabulary subtests of the McGraw-Hill system. Students scored about one standard deviation below the mean on both measures. Skills measured by the instruments appear different enough to preclude use of the PPVT-R as the first screening test.

scholarly journals Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning of Smartphone and Fitbit Data (Preprint)

2018 ◽  
Author(s):  
Afsaneh Doryab ◽  
Daniella K Villalba ◽  
Prerna Chikersal ◽  
Janine M Dutcher ◽  
Michael Tumminia ◽  
...  
Keyword(s):  
Machine Learning ◽  
College Students ◽  
Data Mining ◽  
Statistical Analysis ◽  
Standard Deviation ◽  
Behavioral Patterns ◽  
Machine Learning Classification ◽  
Passive Sensing ◽  
The Mean ◽  
The Impact

BACKGROUND Feelings of loneliness are associated with poor physical and mental health. Detection of loneliness through passive sensing on personal devices can lead to the development of interventions aimed at decreasing rates of loneliness. OBJECTIVE The aim of this study was to explore the potential of using passive sensing to infer levels of loneliness and to identify the corresponding behavioral patterns. METHODS Data were collected from smartphones and Fitbits (Flex 2) of 160 college students over a semester. The participants completed the University of California, Los Angeles (UCLA) loneliness questionnaire at the beginning and end of the semester. For a classification purpose, the scores were categorized into high (questionnaire score>40) and low (≤40) levels of loneliness. Daily features were extracted from both devices to capture activity and mobility, communication and phone usage, and sleep behaviors. The features were then averaged to generate semester-level features. We used 3 analytic methods: (1) statistical analysis to provide an overview of loneliness in college students, (2) data mining using the Apriori algorithm to extract behavior patterns associated with loneliness, and (3) machine learning classification to infer the level of loneliness and the change in levels of loneliness using an ensemble of gradient boosting and logistic regression algorithms with feature selection in a leave-one-student-out cross-validation manner. RESULTS The average loneliness score from the presurveys and postsurveys was above 43 (presurvey SD 9.4 and postsurvey SD 10.4), and the majority of participants fell into the high loneliness category (scores above 40) with 63.8% (102/160) in the presurvey and 58.8% (94/160) in the postsurvey. Scores greater than 1 standard deviation above the mean were observed in 12.5% (20/160) of the participants in both pre- and postsurvey scores. The majority of scores, however, fell between 1 standard deviation below and above the mean (pre=66.9% [107/160] and post=73.1% [117/160]). Our machine learning pipeline achieved an accuracy of 80.2% in detecting the binary level of loneliness and an 88.4% accuracy in detecting change in the loneliness level. The mining of associations between classifier-selected behavioral features and loneliness indicated that compared with students with low loneliness, students with high levels of loneliness were spending less time outside of campus during evening hours on weekends and spending less time in places for social events in the evening on weekdays (support=17% and confidence=92%). The analysis also indicated that more activity and less sedentary behavior, especially in the evening, was associated with a decrease in levels of loneliness from the beginning of the semester to the end of it (support=31% and confidence=92%). CONCLUSIONS Passive sensing has the potential for detecting loneliness in college students and identifying the associated behavioral patterns. These findings highlight intervention opportunities through mobile technology to reduce the impact of loneliness on individuals’ health and well-being.

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