scholarly journals PENGARUH KREATIVITAS, EFIKASI DIRI, DAN MOTIVASI TERHADAP KESIAPAN BERWIRAUSAHA MAHASISWA FAKULTAS KEGURUAN DAN ILMU PENDIDIKAN UNIVERSITAS JAMBI

2020 ◽  
Vol 1 (2) ◽  
pp. 451-465
Author(s):  
Delma Yunita
Keyword(s):  
P Value ◽  
F Test

Rendahnya jumlah wirausaha dan meningkatnya angka pengangguran terdidik di Indonesia terutama pada lulusan universitas menunjukkan bahwa berbagai program pembelajaran kewirausahaan di universitas yang sudah dikembangkan selama dua dekade belum berhasil meningkatkan semangat dan jiwa  kewirausahaan  mahasiswa  sehingga  keinginan  berwirausaha  mahasiswa relatif rendah. Tujuan penelitian : untuk mendeskripsikan kesiapan, kreativitas, efikasi diri dan motivasi berwirausaha mahasiswa Fakultas Keguruan dan Ilmu Pendidikan Universitas Jambi, untuk menganalisis pengaruh kreativitas terhadap kesiapan berwirausaha, Untuk menganalisis pengaruh efikasi diri terhadap kesiapan berwirausaha. Untuk menganalisis pengaruh motivasi terhadap kesiapan kewirausahaan, Untuk menganalisis pengaruh kreativitas, efikasi diri, dan motivasi secara bersama-sama terhadap kesiapan kewirausahaan. Berdasarkan tujuan penelitian, penelitian ini adalah Penelitian yang dilakukan melalui survey dengan menyebarkan angket kepada mahasiswa Fakultas Keguruan dan Ilmu Pendidikan Unversitas Jambi, dengan menggunakan pendekatan kuantitatif.. Hasil analisis data variabel motivasi berwirausaha sebesar 11,428, dengan nilai signifikansi sebesar 0,000, dikarenakan angka taraf signifikansi < 0,05 (0,000 < 0,05) maka dapat disimpulkan bahwa motivasi berwirausaha berpengaruh terhadap kesiapan berwirausaha mahasiswa., Hasil ini diperoleh angka t hitung variabel motivasi berwirausaha sebesar 21,325, dengan nilai signifikansi sebesar 0,000, dikarenakan angka taraf signifikansi < 0,05 (0,000 < 0,05) maka dapat disimpulkan bahwa motivasi berwirausaha berpengaruh terhadap kesiapan berwirausaha mahasiswa, melalui hasil uji Anova atau F test dengan menggunakan SPSS 21.0 didapat Fhitung sebesar 176,371 dengan tingkat probabilitas p-value sebesar 0,000, dikarenakan angka taraf signifikansi jauh lebih < 0,05 (0,000 < 0,05) maka dapat disimpulkan bahwa kreativitas, efikasi diri dan motivasi berwirausaha secara bersama-sama (simultan) berpengaruh secara signifikan terhadap kesiapan berwirausaha mahasiswa FKIP Universitas Jambi.

The Analysis of Two-Factor Interactions in Fixed Effects Linear Models

1993 ◽  
Vol 18 (1) ◽  
pp. 1-40 ◽  
Author(s):  
Robert J. Boik
Keyword(s):  
Fixed Effects ◽  
Linear Models ◽  
Null Distribution ◽  
P Value ◽  
Omnibus Test ◽  
F Test ◽  
Data Set ◽  
Moment Functions ◽  
Product Interaction

This article considers two related issues concerning the analysis of interactions in complex linear models. The first issue concerns the omnibus test for interaction. Apparently, it is not well known that the usual F test for interaction can be replaced, in many applications, by a test that is more powerful against a certain class of alternatives. The competing test is based on the maximal product interaction contrast F statistic and achieves its power advantage by focusing solely on product contrasts. The maximal product interaction F test is reviewed and three new results are reported: (a) An extended table of exact critical values is computed, (b) a table of moment functions useful for approximating the p-value corresponding to an observed maximal F statistic is computed, and (c) a simulation study concerning the null distribution of the maximal F statistic when data are unbalanced or covariates are present is reported. It is conjectured that lack of balance or presence of covariates has no effect on the null distribution. The simulation results support the conjecture. The second issue concerns follow-up tests when the omnibus test is significant. It appears that researchers, in general, do not perform coherent follow-up tests on interactions. To make it easier for researchers to do so, an exposition on the use of product interaction contrasts and partial interactions in complex fixed-effects models is provided. The recommended omnibus and follow-up tests are illustrated on an educational data set analyzed using SAS ( SAS Institute, 1988 ) and SPSS (1990) .

KOMBINASI ANALISIS TEKNIS DAN ALGORITMA GRADIENT BOOSTING UNTUK MEMPREDIKSI INDEKS HARGA SAHAM GABUNGAN

2020 ◽  
Author(s):  
danu salam ◽  
Mustarum Musaruddin ◽  
Hasmina Tari Mokui
Keyword(s):  
Gradient Boosting ◽  
P Value ◽  
F Test

Saham merupakan surat berharga yang dapat diperdagangkan. Fluktuasi harga saham dapat dimanfaatkan oleh trader untuk mendapatkan keuntungan. Untuk melihat pergerakan harga saham dapat dilihat dari Indeks Harga Saham Gabungan (IHSG). Pada penelitian ini bertujuan untuk memprediksi indeks harga saham gabungan dengan mengkombinasikan antara analisis teknis dan menggunakan algoritma gradient boosting. Hasil eksperimen didapatkan perbedaan akurasi antara model dengan kombinasi dan tanpa kombinasi. Akurasi model kombinasi sebesar 86,79% dan RMSE sebesar 0,00786, dibandingkan dengan model tanpa kombinasi akurasinya 74.60% dan RMSE 0,01048. Sedangkan dari F-test didapatkan, P-value sebesar 1,457x10-147. Nilai P&lt;0,05 memiliki nilai signifikansi penerimaan sehingga model yang diusulkan dapat diterima.

scholarly journals “JOKOWI EFFECT” PADA INDEKS HARGA SAHAM GABUNGAN

2018 ◽  
Vol 1 (2) ◽  
pp. 107-117
Author(s):  
Muhit Nur Hidayah
Keyword(s):  
P Value ◽  
F Test

Tujuan dari penelitian ini adalah untuk mengetahui pengaruh “Jokowi Effect” terhadap IHSG selama kurun waktu bulan Januari 2014 sampai Maret 2018. Kurun waktu ini adalah masa sebelum dan sesudah pengumuman kabinet kerja Jokowi. Pengumuman kabinet Jokowi pada 2014 disebut-sebut mempengaruhi pasar modal Indonesia. Maka peristiwa ini disebut “Jokowi Effect”, dimana peristiwa ini akan mempengaruhi pasar modal. Hasil penelitian ini menunjukkan bahwa Peristiwa pengumuman Kabinet Kerja Jokowi tahun 2014 berpengaruh terhadap IHSG, selain itu variabel lain seperti nilai tukar, kurs dan dummy berpengaruh significant terhadap IHSG, hal ini ditunjukan dari hasil F test dengan nilai p-value 0,000168 <0,05.

scholarly journals Faktor-Faktor Yang Mempengaruhi Akuntabilitas Pengelolaan Dana Desa (Studi Kasus Desa Di Kecamatan Simeulue Barat)

2021 ◽  
Vol 2 (1) ◽  
pp. 23-31
Author(s):  
Eliana Eliana ◽  
Nurhayati Nurhayati ◽  
Endra Gunawan ◽  
Jahrul Amin
Keyword(s):  
Information Technology ◽  
Control System ◽  
Control Systems ◽  
Internal Control ◽  
P Value ◽  
Fund Management ◽  
Validity And Reliability ◽  
F Test ◽  
Internal Control System

This study aims to analyze the influence of leadership, transparency, use of information technology and internal control systems on the accountability of village village fund management in villages in West Simeulue District. The problem that arises is whether leadership, transparency in the use of information technology and internal control systems affect the accountability of village fund management in West Simeulue District? With a sample of 70 respondents and data obtained by distributing questionnaires to respondents. To test each item on each variable has been tested the validity and reliability of the instrument. The results show that simultaneously there is an influence between leadership, transparency, use of information technology, internal control systems and accountability of village fund management by 0.678 or 67.8% and 0.322 or 32.2% influenced by other variables. after the F test, the number Fcount > Ftable or (34,293>3.13) and a significant test that the p value of 0.000 <p is set at 0.05 which means it is significant. Partially shows that: 1. Leadership affects the accountability of village fund management Tcount 2.392> T table 1.667 and p value 0.020 < from p 0.05 means significant. 2. Transparency affects the accountability of village fund management Tcount 2,231 > Ttable 1,667 with p value 0.029 from <0.05 means significant. 3. The use of information technology affects the accountability of village fund management Tcount 1.953> Ttable 1.667 with p value 0.030 from <0.05 means significant. 4. The internal control system affects the accountability of village fund management Tcount 4.511> Ttable 1.667 with p value 0.000 from <0.05 means significant. This means that partially the influence of the internal control system on the accountability of village fund management is more dominant than leadership, transparency and the use of information technology.

Pengaruh Gaya Kepemimpinan dan Motivasi Terhadap Kinerja Pegawai Rumah Sakit Umum Daerah Kabupaten Cirebon

2019 ◽  
Vol 1 (1) ◽  
pp. 01-19
Author(s):  
Abdurokhim Abdurokhim
Keyword(s):  
P Value ◽  
F Test

Dinas Perindustrian dan Perdagangan Kabupaten Cirebon gaya kepemimpinan yang diterapkan adalah gaya kepemimpinan demokratis. Kompensasi memegang peranan penting dalam meningkatkan kinerja pegawai, salah satu alasan utama seseorang bekerja adalah untuk memenuhi kebutuhan hidupnya. Seseorang akan bekerja secara maksimal agar mendapat kompensasi yang sesuai. Dalam suatu instansi, pegawai senantiasa mengharapkan penghasilan yang lebih memadai. Metode yang digunakan dalam penelitian ini adalah dengan menggunakan penelitian deskriptif analisis. Hasil  uji anova atau F test didapat Fhitung sebesar  14,822 dengan tingkat signifikansi 0,000. Hal itu berarti variabel Gaya Kepemimpinan  (X1) dan Kompensasi  (X2) berpengaruh secara bersama - sama (Simultan) terhadap Kinerja Pegawai  (Y). Hasil uji F tersebut memiliki nilai p -value 0,000 < 0,05 artinya signifikan, sedangkan Fhitung 14,822 > dari Ftabel 3,110 artinya hipotesis diterima. Besarnya pengaruh positif Gaya Kepemimpinan  dan Kompensasi  terhadap adalah Kinerja Pegawai  sebesar 27%.

scholarly journals P13.13 Clinical factors involved in brain metastasis edema: results of a retrospective cohort and evaluation of the best edema descriptor

2019 ◽  
Vol 21 (Supplement_3) ◽  
pp. iii65-iii65
Author(s):  
Y Pin ◽  
M Loo ◽  
W Waissi ◽  
A Paix ◽  
J Todeschi ◽  
...  
Keyword(s):  
Linear Regression ◽  
Brain Metastasis ◽  
Disease Control ◽  
Tumor Volume ◽  
Volume Ratio ◽  
P Value ◽  
F Test ◽  
Intracellular Space ◽  
Perilesional Edema ◽  
Test Impact

Abstract BACKGROUND Brain metastasis (BM) are frequently surrounded by brain edema with a variable extension. This pathological increase in the water mass from the interstitial or intracellular space is the source of neurological symptoms but some studies also showed a prognosis impact of this edema. Nevertheless, the current edema evaluation methods are poorly reproducible and were not extensively evaluated. From a series of patients with brain metastasis, we analyzed factors influencing perilesional edema extension in function of three edema descriptors which were qualitatively evaluated: the absolute cumulative intracranial edema volume (CIEV, in mL), the edema on tumor volume ratio (ER), and the Edema Theoretical Thickness (ETT, in mm), new factor designed to be more independent from geometrical considerations. MATERIAL AND METHODS Clinical, biological and imaging factors were retrospectively recorded from patients referred for upfront stereotactic radiotherapy of one to three BMs. CIEV, ER and ETT were calculated for each patient. Non-colinear factors were selected using the Farrar-Glauber test. Impact of these factors on edema was tested with an univariate then a multivariate linear regression for each edema descriptor. Each resulting regression model was qualitatively evaluated using the F-test, R square value and residuals calculation. RESULTS Between January 2012 to December 2017, 182 patients were included. Upon 20 potentially prognostic factors recorded, 10 were kept, including clinical, biological and imaging factors. In the multivariate analysis, the CIEV was influenced by the cumulative intracranial tumor volume (CITV) (coefficient of 1.95, p<.001). The CIEV F-statistic p-value and R square were <10–15 and 0.30, respectively. The ETT was significantly influenced by the CITV (0.31, p<.001) and the extracerebral disease control (-1.58, p=.049). The F-test p-value and R square were <10-10 and 0.25, respectively. No significant linear regression was found for the ER. Residuals were more clinically relevant for the ETT compared to the CIEV. CONCLUSION Being significantly influenced by the cumulative brain tumor volume and the extracerebral disease control, the ETT might be a factor to include in future BM works because its strong relationships with confounding factors and its ability to provide robust intra and inter subjects comparisons.

Accuracy of p-values of approximate tests in testing for equality of means under unequal variances

2009 ◽  
Vol 59 (6) ◽  
Author(s):  
Júlia Volaufová
Keyword(s):  
Fixed Effects ◽  
Linear Models ◽  
Parametric Bootstrap ◽  
Small Sample ◽  
P Value ◽  
Sample Sizes ◽  
F Test ◽  
P Values ◽  
Unequal Variances ◽  
Equality Of Means

AbstractSeemingly, testing for fixed effects in linear models with variance-covariance components has been solved for decades. However, even in simple situations such as in fixed one-way model with heteroscedastic variances (a multiple means case of the Behrens-Fisher problem) the questions of statistical properties of various approximations of test statistics are still alive. Here we present a brief overview of several approaches suggested in the literature as well as those available in statistical software, accompanied by a simulation study in which the accuracy of p-values is studied. Our interest is limited here to the Welch’s test, the Satterthwaite-Fai-Cornelius test, the Kenward-Roger test, the simple ANOVA F-test, and the parametric bootstrap test. We conclude that for small sample sizes, regardless the number of compared means and the heterogeneity of variance, the ANOVA F-test p-value performs the best. For higher sample sizes (at least 5 per group), the parametric bootstrap performs well, and the Kenward-Roger test also performs well.

scholarly journals Testing The Mean For Business Data: Should One Use The Z-Test, T-Test, F-Test, The Chi-Square Test, Or The P-Value Method?

2006 ◽  
Vol 3 (7) ◽  
Author(s):  
Jiajuan Liang ◽  
William S. Pan
Keyword(s):  
Categorical Data ◽  
T Test ◽  
P Value ◽  
F Test ◽  
Chi Square ◽  
P Values ◽  
Chi Square Test ◽  
The Mean ◽  
The Relationship ◽  
Two Populations

In testing the mean of a population or comparing the means from two populations. There are several statistics available: the t-test, z-test, F-test and the chi-square test. Both the t-test and the z-test are usually used for continuous populations, and the chi-square test is used for categorical data. The F-test is used for comparing more than two means. In this paper we will discuss: 1) the conditions on using these tests; 2) the relationship among these test; and 3) illustration of the p-values of these tests by graphs. Some concluding remarks will be provided.

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