The approximate sampling distribution of Kuder-Richardson reliability coefficient twenty

Psychometrika ◽  
1965 ◽  
Vol 30 (3) ◽  
pp. 357-370 ◽  
Author(s):  
Leonard S. Feldt
Keyword(s):  
Reliability Coefficient ◽  
Sampling Distribution

STUDI KARAKTERISTIK SISWA SLTA DI KOTA MEDAN

2013 ◽  
Vol 6 (2) ◽  
Author(s):  
Nathanael Sitanggang ◽  
Abdul Hasan Saragih
Keyword(s):  
High School ◽  
Quantitative Method ◽  
Female Students ◽  
Senior High School ◽  
Reliability Coefficient ◽  
Male Students ◽  
Accurate Data ◽  
Male And Female ◽  
Student Characteristic

Abstrak: Tujuan penelitian ini adalah untuk mentetahui karakteristik SMA dan SMK di Medan. Karakteristik yang diteliti adalah: neuroticism, extraversion, keterbukaan, keramahan, dan hati nurani. Dengan penelitian ini kita mendapatkan data perbedaan karakter di SMA dan SMK siswa. Mendapatkan perbedaan karakter antara pria dan wanita dalam setiap kelompok sekolah. Penelitian ini di SMA dan SMK di Medan, 2008. Sampel penelitian 600 siswa. Metode Penelitian kuantitatif. Data diperoleh melalui kuesioner. Kuesioner dicoba dengan nilai koefisien reliabilitas (r=0,875). Hasil penelitian adalah: (1) Karakteristik siswa SMA (Neuroticsm, extraversion, keterbukaan, keramahan, dan hati nurani) sudah cukup dan kategori tinggi, (2) Karakteristik siswa SMK (Neuroticsm, extraversion, keterbukaan, keramahan, dan hati nurani) cukup tinggi dan kategori; (3) Para siswa perempuan SMA lebih tinggi hati nurani daripada siswa laki-laki; (4) Neuroticsm, extraversion, keterbukaan, dan keramahan antara siswa laki-laki secara signifikan tidak berbeda dengan siswa perempuan di SMA; (5) Neuroticsm, extraversion, keterbukaan, keramahan, dan conscientiousness antara mahasiswa laki-laki secara signifikan tidak berbeda dengan siswa perempuan di SMK.   Kata kunci : karakteristik siswa, SMA, SMK.   Abstract: This research was aimed to: investigate the Senior High School Studen’t Characteristic in Medan. The characteristic which investigated are: neuroticism, extraversion, openness, agreeableness, and conscientiousness. By this research we can get the accurate data that describe the differences of characters in SMA and SMK students. And then we can get the differences of characters among the male and female in each group of school. This research was taking place in SMA and SMK in Medan, 2008. The sample of this research is 600 pupils. The research was taken in the quantitative method. The data that we have got from the questioner. Questioner has been tried with the value of reliability coefficient (r=0,875). The results of the research are: (1) The SMA Studen’t Characteristic in Medan (Neuroticsm, extraversion, openness, agreeableness, and conscientiousness) is enough and high categories; (2) The SMK Student Characteristic in Medan (Neuroticsm, extraversion, openness, agreeableness, and conscientiousness) is enough and high categories; (3) The female SMA students are more conscientiousness than male students; (4) Neuroticsm, extraversion, openness, and agreeableness between male students significantly is not different with female students in SMA; (5) Neuroticsm, extraversion, openness, agreeableness, and conscientiousness between male students significantly is not different with female students in SMK. Keywords: characteristics of students, SMA, SMK

scholarly journals Asymptotic Inference for Optimal Rerandomization Designs

2021 ◽  
Vol 1 (1) ◽  
pp. 49-58
Author(s):  
Mårten Schultzberg ◽  
Per Johansson
Keyword(s):  
Experimental Design ◽  
Normal Distribution ◽  
Mahalanobis Distance ◽  
Design Strategy ◽  
Sampling Distribution ◽  
Optimal Designs ◽  
Asymptotic Inference ◽  
Optimal Allocations ◽  
Asymptotic Sampling

AbstractRecently a computational-based experimental design strategy called rerandomization has been proposed as an alternative or complement to traditional blocked designs. The idea of rerandomization is to remove, from consideration, those allocations with large imbalances in observed covariates according to a balance criterion, and then randomize within the set of acceptable allocations. Based on the Mahalanobis distance criterion for balancing the covariates, we show that asymptotic inference to the population, from which the units in the sample are randomly drawn, is possible using only the set of best, or ‘optimal’, allocations. Finally, we show that for the optimal and near optimal designs, the quite complex asymptotic sampling distribution derived by Li et al. (2018), is well approximated by a normal distribution.

scholarly journals The Sampling Distribution of Disease-Associated Alleles

Genetics ◽  
1997 ◽  
Vol 147 (4) ◽  
pp. 1855-1861 ◽  
Author(s):  
Montgomery Slatkin ◽  
Bruce Rannala
Keyword(s):  
Low Frequency ◽  
Null Model ◽  
Sampling Distribution ◽  
Death Process ◽  
Published Data ◽  
Data Sets ◽  
Likelihood Functions ◽  
Alternative Hypotheses ◽  
Size Standard ◽  
Birth Death

Abstract A theory is developed that provides the sampling distribution of low frequency alleles at a single locus under the assumption that each allele is the result of a unique mutation. The numbers of copies of each allele is assumed to follow a linear birth-death process with sampling. If the population is of constant size, standard results from theory of birth-death processes show that the distribution of numbers of copies of each allele is logarithmic and that the joint distribution of numbers of copies of k alleles found in a sample of size n follows the Ewens sampling distribution. If the population from which the sample was obtained was increasing in size, if there are different selective classes of alleles, or if there are differences in penetrance among alleles, the Ewens distribution no longer applies. Likelihood functions for a given set of observations are obtained under different alternative hypotheses. These results are applied to published data from the BRCA1 locus (associated with early onset breast cancer) and the factor VIII locus (associated with hemophilia A) in humans. In both cases, the sampling distribution of alleles allows rejection of the null hypothesis, but relatively small deviations from the null model can account for the data. In particular, roughly the same population growth rate appears consistent with both data sets.

An Objective Measure of the Self-Evaluation Motive

1974 ◽  
Vol 35 (2) ◽  
pp. 873-874
Author(s):  
Lawrence R. Good ◽  
Katherine C. Good
Keyword(s):  
Objective Measure ◽  
Reliability Coefficient ◽  
The Self ◽  
Self Evaluation ◽  
True False

The development of a true-false inventory designed to measure need for self-evaluation produced a form having 25 items. A reliability coefficient (KR-20) of .79 was obtained for a sample of 177 undergraduates (88 men and 89 women).

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