scholarly journals COPING WITH THE CHALLENGES IN TEACHING MAPEH SUBJECTS AMONG NON-SPECIALIZED TEACHERS OF DISTRICT 4 IN LAGUNA

2021 ◽  
pp. 191-201
Author(s):  
Reem D. Montesur
Keyword(s):  
Time Management ◽  
Descriptive Analysis ◽  
Coping Mechanism ◽  
Test Statistic ◽  
Data Set ◽  
Major Subject ◽  
Equal Chance ◽  
Source Data ◽  
F Distribution ◽  
Face Validation

This study entitled coping with the challenges in teaching MAPEH subjects among the non-specialized teachers of District 4 in Laguna was conducted to specifically answer the following questions; What is the demographic profile of the Teachers in MAPEH in terms of; Age; Gender; Years in Service; Educational Attainment and Specialization? What is the coping mechanism of the Teachers in MAPEH in terms of: Time Management; Academic Advice and Mentoring; Appraisal Focused; Emotional-Focused; Occupation- focused coping? Do the coping mechanism used by teachers significantly affect the performance of non-specialized teachers teaching MAPEH of District 4 in Laguna? The study utilized a descriptive design to determine the coping mechanism of the non-specialized teachers in MAPEH. The main source data of this study was the survey questionnaire which was prepared by the researcher and statistically treated by the use of simple descriptive statistics such as frequency, percentage and the mean to determine the significant effect on the performance of the non-specialized teachers in MAPEH of the District of 4 in Laguna. In order to conduct this study, letters were sent to the Schools Divisions Superintendent Dr. Marites A. Ibanez, asking permission and approval to conduct the study, and to the School Principals of the selected schools, asking to distribute questionnaires to the ones teaching MAPEH. Preparation of self-made questionnaire by the researcher followed. The researcher-made questionnaire was checked by the thesis adviser. Face validation of the contents of the questionnaire was done by the adviser of the researcher and other persons with specialization in the field. They were vital members of the education team. Researchers use purposive sampling when they want to access a particular subset of people, as all participants of a study are selected because they fit a particular profile. Each individual was chosen entirely by chance and each member of the population had an equal chance of being included in the sample. The respondents of the study consisted of fifty non-major or non-specialized in MAPEH inn District 4 in Laguna. The purpose of the study may offer literature and findings that may be useful in the conduct of future studies more particularly in the context of communication considering the stressor and how to cope with the challenges of the teachers in teaching a non-major subject. Copies of the questionnaire were multiplied based on the number of the respondents. Then it was administered. With confidentiality, the gathered information was transferred in a tally sheet. Subsequently, codes were assigned to each indicator. The encoded data were given to the researcher’s statistician for the descriptive analysis. The gathered data were interpreted and presented in textual and tabular forms and appropriate interpretation was made. The methods used was statistical to analyze and interpret the data gathered, the weighted mean and the F-test formula which is the statistical test in which the test statistic has an F-distribution under the null hypothesis. It is most often used when comparing statistical models that have been fitted to a data set, in order to identify the model that best fits the population from which the data were sampled. The implication of this research is to find out the importance of how teachers of MAPEH especially the non-majors become aware of learning and dealing with teaching challenges. Have an important mechanism for handling situations related to MAPEH teaching. The result showed that the coping challenges in teaching MAPEH subjects had no significant effect on the performance of the non-specialize Teachers teaching MAPEH subjects of District 4 in Laguna, and therefore the hypothesis was also rejected. KEYWORDS: Coping Challenges, Coping mechanism, Non-Specialized, MAPEH, Stressor

HUBUNGAN ANTARA MANAJEMEN WAKTU BELAJAR, MOTIVASI BELAJAR, DAN FASILITAS BELAJAR DENGAN PRESTASI BELAJAR MATEMATIKA SISWA SMP KELAS VIII SE-KECAMATAN DANUREJAN YOGYAKARTA

2016 ◽  
Vol 4 (3) ◽  
Author(s):  
Nurita Juliasari ◽  
Benedictus Kusmanto
Keyword(s):  
Time Management ◽  
Hypothesis Test ◽  
Mathematics Learning ◽  
Descriptive Analysis ◽  
Motivation To Learn ◽  
Test Technique ◽  
Learning Achievement ◽  
Learning Time ◽  
8Th Grade ◽  
Major Hypothesis

The purpose of the research was to find out correlate between learn time management, motivation to learn, and learning facilities with mathematics learning achievement on 8th  grade students at the whole district of Danurejan Yogyakarta. The genre of this research is descriptive researchment. The population in this research were all students of 8th grade students at the whole district of Danurejan Yogyakarta with amount 593 students and the samples taken at proportional random sampling with amount 113 students. Data collection method used was a questionannaire and a test technique. Analysis using descriptive analysis of data, multiple regression, and partial correlation. In the major hypothesis test is obtained R = 0,747 and R2 = 0,558 with sig=0,000 < 0,05. Then in the first minor hypothesis test is obtained ry1-23 = 0,443 with         sig=0,000 < 0,05; the second minor hypothesis test is obtained ry2-13 = 0,370 with sig=0,000 < 0,05; and the minor third hypothesis test is obtained ry3-12 = 0,344 with sig=0,000 < 0,05. So there is a positive and significant correlation between learning time management, motivation to learn, and learning facilities with mathematics learning achievement on 8th grade students at the whole district of Danurejan Yogyakarta as collective and partial. It is expected that students care about learning time management, motivation to learn, and learning facilities to  mathematics learning achievement increasingly.

scholarly journals Getting Started Creating Data Dictionaries: How to Create a Shareable Data Set

2021 ◽  
Vol 4 (1) ◽  
pp. 251524592092800
Author(s):  
Erin M. Buchanan ◽  
Sarah E. Crain ◽  
Ari L. Cunningham ◽  
Hannah R. Johnson ◽  
Hannah Stash ◽  
...  
Keyword(s):  
Data Collection ◽  
Data Sharing ◽  
Search Engine ◽  
Web Applications ◽  
Data Sets ◽  
Data Dictionary ◽  
Data Set ◽  
Entire Process ◽  
Shared Data ◽  
Source Data

As researchers embrace open and transparent data sharing, they will need to provide information about their data that effectively helps others understand their data sets’ contents. Without proper documentation, data stored in online repositories such as OSF will often be rendered unfindable and unreadable by other researchers and indexing search engines. Data dictionaries and codebooks provide a wealth of information about variables, data collection, and other important facets of a data set. This information, called metadata, provides key insights into how the data might be further used in research and facilitates search-engine indexing to reach a broader audience of interested parties. This Tutorial first explains terminology and standards relevant to data dictionaries and codebooks. Accompanying information on OSF presents a guided workflow of the entire process from source data (e.g., survey answers on Qualtrics) to an openly shared data set accompanied by a data dictionary or codebook that follows an agreed-upon standard. Finally, we discuss freely available Web applications to assist this process of ensuring that psychology data are findable, accessible, interoperable, and reusable.

Frequent Closed Partial Orders Mining in Sequences

2013 ◽  
Vol 846-847 ◽  
pp. 1304-1307
Author(s):  
Ye Wang ◽  
Yan Jia ◽  
Lu Min Zhang
Keyword(s):  
Sequence Data ◽  
Real Data ◽  
Partial Orders ◽  
Hard Problem ◽  
Important Data ◽  
Data Set ◽  
Pruning Algorithm ◽  
Equal Chance ◽  
Np Hard Problem ◽  
General Sequences

Mining partial orders from sequence data is an important data mining task with broad applications. As partial orders mining is a NP-hard problem, many efficient pruning algorithm have been proposed. In this paper, we improve a classical algorithm of discovering frequent closed partial orders from string. For general sequences, we consider items appearing together having equal chance to calculate the detecting matrix used for pruning. Experimental evaluations from a real data set show that our algorithm can effectively mine FCPO from sequences.

An Improved Ant Colony Optimization Algorithm for Solving the TSP Problem

2010 ◽  
Vol 26-28 ◽  
pp. 620-624 ◽  
Author(s):  
Zhan Wei Du ◽  
Yong Jian Yang ◽  
Yong Xiong Sun ◽  
Chi Jun Zhang ◽  
Tuan Liang Li
Keyword(s):  
Genetic Algorithm ◽  
Ant Colony Algorithm ◽  
Ant Colony ◽  
Convergence Time ◽  
Ant Colony Optimization Algorithm ◽  
Data Set ◽  
Research Attention ◽  
Simply Supported ◽  
Source Data

This paper presents a modified Ant Colony Algorithm(ACA) called route-update ant colony algorithm(RUACA). The research attention is focused on improving the computational efficiency in the TSP problem. A new impact factor is introduced and proved to be effective for reducing the convergence time in the RUACA performance. In order to assess the RUACA performance, a simply supported data set of cities, which was taken as the source data in previous research using traditional ACA and genetic algorithm(GA), is chosen as a benchmark case study. Comparing with the ACA and GA results, it is shown that the presented RUACA has successfully solved the TSP problem. The results of the proposed algorithm are found to be satisfactory.

scholarly journals Lifestyle Behaviors and Mental Health of American Adults

2007 ◽  
Vol 100 (1) ◽  
pp. 294-302 ◽  
Author(s):  
Elizabeth H. Chaney ◽  
J. Don Chaney ◽  
Min Qi Wang ◽  
James M. Eddy
Keyword(s):  
Mental Health ◽  
Healthy Lifestyle ◽  
Descriptive Analysis ◽  
Experimental Studies ◽  
Poor Mental Health ◽  
Behavioral Risk ◽  
Lifestyle Behaviors ◽  
Unhealthy Lifestyle ◽  
Data Set ◽  
Health Related

The purpose of this study was to test the hypothesis that individuals reporting healthy lifestyle behaviors would also report better self-rated mental health. Logistic regression analyses were conducted utilizing SUDAAN on the Behavioral Risk Factor Surveillance Survey data set. This descriptive analysis suggests that persons reporting poor mental health were more likely to report unhealthy lifestyle behaviors. This set of findings encourages careful design of experimental studies of empirically based associations of mental health and life style, using psychometrically sound measures. Then public health programs focused on change of health-related behaviors might be more suitably devised.

scholarly journals PENGARUH MOTIVASI, MINAT, DAN MANAJEMEN WAKTU TERHADAP PRESTASI BELAJAR MATEMATIKA SISWA KELAS VII SMP

2021 ◽  
Vol 2 (1) ◽  
pp. 50-57
Author(s):  
Agustin Eudya ◽  
Iwit Prihatin ◽  
Marhadi Saputro
Keyword(s):  
Data Analysis ◽  
Time Management ◽  
Regression Coefficient ◽  
Mathematics Learning ◽  
Descriptive Analysis ◽  
Sampling Technique ◽  
Questionnaire Data ◽  
Seventh Grade ◽  
Learning Achievement ◽  
Positive Effect

The purpose of this study was to determine: (1) The effect of motivation on mathematics learning achievement; (2) The effect of interest on mathematics learning achievement; (3) The effect of study time management on mathematics learning achievement; (4) The influence of motivation, interest, and time management on the learning achievement of seventh grade students of SMP Negeri 1 Tumbang Titi. The sampling used in this study was nonprobability sampling with purposive sampling technique. The instrument for collecting data was a questionnaire. Data analysis in this study used descriptive analysis with the help of the SPSS 25 application. The results showed that: (1) There was an effect of motivation on students' mathematics learning achievement. This can be indicated by a regression coefficient of 0.712 which means that it has a positive effect on mathematics learning achievement; (2) There is an influence of interest on students' mathematics learning achievement. This can be indicated by a regression coefficient of 0.388 which means that it has a positive effect on mathematics learning achievement; (3) There is an effect of time management on students' mathematics learning achievement. This can be indicated by a regression coefficient of 0.466 which means that it has a positive effect on mathematics learning achievement; (4) There is an effect of motivation, interest and time management on students' mathematics learning achievement. This can be indicated by a regression coefficient of 0.726, which means that it has a positive effect on mathematics learning achievement.

scholarly journals Consistency of an Estimator for Change Point in Volatility of Financial Returns

2021 ◽  
Vol 13 (1) ◽  
pp. 56
Author(s):  
Josephine Njeri Ngure ◽  
Anthony Gichuhi Waititu
Keyword(s):  
Exchange Rate ◽  
Change Point ◽  
Point Estimation ◽  
Fourth Moment ◽  
Financial Returns ◽  
Test Statistic ◽  
Data Set ◽  
United States Dollar ◽  
Binary Segmentation ◽  
Non Parametric

A non parametric Auto-Regressive Conditional Heteroscedastic model for financial returns series is considered in which the conditional mean and volatility functions are estimated non-parametrically using Nadaraya Watson kernel. A test statistic for unknown abrupt change point in volatility which takes into consideration conditional heteroskedasticity, dependence, heterogeneity and the fourth moment of financial returns, since kurtosis is a function of the fourth moment is considered. The test is based on L2norm of the conditional variance functions of the squared residuals. A non-parametric change point estimator in volatility of financial returns is further obtained. The consistency of the estimator is shown theoretically and through simulation. An application of the estimator in change point estimation in volatility of United States Dollar/Kenya Shilling exchange rate returns data set is made. Through binary segmentation procedure, three change points in volatility of the exchange rate returns are estimated and further accounted for.

Understanding Istifadah (Utilizing Time and Chance) for Personality Development in Islamic Education

2020 ◽  
pp. 268-288
Author(s):  
Miftachul Huda ◽  
M.Ikhsan Nawawi ◽  
Liberty Liberty ◽  
Jarkawi Jarkawi ◽  
Azmil Hashim ◽  
...  
Keyword(s):  
Character Education ◽  
Time Management ◽  
Personal Development ◽  
Theoretical Basis ◽  
Personality Development ◽  
Descriptive Analysis ◽  
Boarding School ◽  
Islamic Education ◽  
Literature Study ◽  
Moral Quality

This chapter attempts to accurately investigate the conception to take a benefit as an ethical foundation of character education, known as the concept of istifādah. This refers to the insightful value of al-Zarnūjī's Ta'lim al-Muta'allim, containing fundamental principles in the context of education, which has been used by the Islamic boarding school Pesantren in Indonesia. This research is employed through literature study using descriptive analysis. The findings reveal that there four core stages to examine istifādah for personal development in Islamic education context. Those are integrating Hikmah (wisdom) based moral quality for personal development, sustaining continuous discipline, nurturing effective time management, and empowering strategic effort with experiential foundations. Moreover, this study is supposed to give the contribution mainly in supplementing the theoretical basis on personality development in Islamic education context.

Descriptive Analysis of the Data Set

2004 ◽  
pp. 63-111
Author(s):  
Oliver Bürgel ◽  
Andreas Fier ◽  
Georg Licht ◽  
Gordon Murray
Keyword(s):  
Descriptive Analysis ◽  
Data Set

Assessing Fit Quality and Testing for Misspecification in Binary-Dependent Variable Models

2012 ◽  
Vol 20 (4) ◽  
pp. 480-500 ◽  
Author(s):  
Justin Esarey ◽  
Andrew Pierce
Keyword(s):  
Political Science ◽  
Test Statistic ◽  
Critical Test ◽  
Variable Model ◽  
Data Set ◽  
Fit Statistics ◽  
Interaction Terms ◽  
Data Generating Process ◽  
Binary Dependent Variable

In this article, we present a technique and critical test statistic for assessing the fit of a binary-dependent variable model (e.g., a logit or probit). We examine how closely a model's predicted probabilities match the observed frequency of events in the data set, and whether these deviations are systematic or merely noise. Our technique allows researchers to detect problems with a model's specification that obscure substantive understanding of the underlying data-generating process, such as missing interaction terms or unmodeled nonlinearities. We also show that these problems go undetected by the fit statistics most commonly used in political science.

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