LAMPIRAN A UJI VALIDITAS DAN RELIABILITAS
|
|
- Morgan Griffin
- 5 years ago
- Views:
Transcription
1 LAMPIRAN A UJI VALIDITAS DAN RELIABILITAS
2 Validitas Komitmen Karyawan Scale Mean if Item Deleted Scale Variance if Item Deleted Corrected Item- Total Correlation Cronbach's Alpha if Item Deleted Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item
3 Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item Item
4 Item Item Reliabilitas Komitmen Karyawan Cronbach's Alpha N of Items
5 LAMPIRAN B UJI NORMALITAS, Z-SCORE DAN CROSSTAB
6 Uji Normalitas NPar Tests Descriptive Statistics N Mean Std. Deviation Minimum Maximum Komitmen Organisasi
7 One-Sample Kolmogorov-Smirnov Test Komitmen Organisasi N 120 Normal Parameters a,,b Mean Most Extreme Differences Std. Deviation Absolute.101 Positive.085 Negative Kolmogorov-Smirnov Z Asymp. Sig. (2-tailed).174 a. Test distribution is Normal. b. Calculated from data.
8 Z-Score No. Total Score Dimensi Zscore Afektif Normatif Kontinuans ZAfektif ZNormatif Zkontinuan Kategori Afektif Normatif Normatif Afektif Kontinuan Normatif Kontinuan Afektif Kontinuan Normatif Normatif Kontinuan Kontinuan Afektif Afektif Kontinuan Afektif Kontinuan Normatif Afektif Kontinuan Kontinuan Normatif Normatif Normatif Normatif Afektif Kontinuan Afektif Normatif Afektif Normatif
9 Normatif Kontinuan Afektif Normatif Kontinuan Afektif Kontinuan Afektif Kontinuan Afektif Normatif Kontinuan Kontinuan Kontinuan Kontinuan No. Total Score Dimensi Zscore Afektif Normatif Kontinuans ZAfektif ZNormatif Zkontinuan Kategori Kontinuan Normatif Kontinuan Kontinuan Normatif Normatif Normatif Afektif Normatif Kontinuan Normatif Normatif Kontinuan Kontinuan Kontinuan Normatif Normatif Normatif Kontinuan
10 Normatif Normatif Normatif Normatif Afektif Afektif Kontinuan Normatif Kontinuan Normatif Kontinuan Afektif Normatif Kontinuan Afektif Kontinuan Normatif Normatif Afektif Normatif Kontinuan Kontinuan Normatif Normatif Kontinuan Afektif Normatif Kontinuan Normatif Normatif Afektif No. Total Score Dimensi Zscore Afektif Normatif Kontinuans ZAfektif ZNormatif Zkontinuan Kategori Normatif Afektif Normatif
11 Kontinuan Afektif Afektif Normatif Afektif Kontinuan Normatif Kontinuan Normatif Kontinuan Kontinuan Afektif Normatif Normatif Normatif Kontinuan Normatif Afektif Afektif Normatif
12 Crosstabs Komitmen Karyawan terhadap Program 5S dengan Data Responden Usia * Komitmen Karyawan Crosstabulation Komitmen Karyawan Tinggi Rendah Total Usia Dewasa Awal (18-40 Tahun) Count % within Usia 64.4% 35.6% 100.0% % within Komitmen 84.4% 67.7% 77.6% % of Total 50.0% 27.6% 77.6% Dewasa Madya (41-50 Tahun) Count % within Usia 41.2% 58.8% 100.0% % within Komitmen 15.6% 32.3% 22.4% % of Total 9.2% 13.2% 22.4% Total Count % within Usia 59.2% 40.8% 100.0% % within Komitmen 100.0% 100.0% 100.0% % of Total 59.2% 40.8% 100.0% Chi-Square Tests Value Df Asymp. Sig. (2- sided) Pearson Chi-Square a Likelihood Ratio Linear-by-Linear Association N of Valid Cases 120
13 Pendidikan * Komitmen Karyawan terhadap Program 5S Crosstabulation Komitmen Karyawan Tinggi Sedang Rendah Total Pendidikan SD Count % within Pendidikan.0% 50.0% 50.0% 100.0% % within Organisasi.0% 2.3% 3.2% 1.7% Komitmen % of Total.0%.8%.8% 1.7% SMP Count % within Pendidikan 100.0%.0%.0% 100.0% % within Organisasi 4.4%.0%.0% 1.7% Komitmen % of Total 1.7%.0%.0% 1.7% SMA Count % within Pendidikan 36.4% 40.9% 22.7% 100.0% % within Organisasi 53.3% 61.4% 48.4% 55.0% Komitmen % of Total 20.0% 22.5% 12.5% 55.0% D3 Count % within Pendidikan 44.4% 33.3% 22.2% 100.0% % within Organisasi 8.9% 6.8% 6.5% 7.5% Komitmen % of Total 3.3% 2.5% 1.7% 7.5% S1 Count % within Pendidikan 32.4% 32.4% 35.1% 100.0% % within Organisasi 26.7% 27.3% 41.9% 30.8% Komitmen
14 % of Total 10.0% 10.0% 10.8% 30.8% S2 Count % within Pendidikan 75.0% 25.0%.0% 100.0% % within Organisasi Komitmen 6.7% 2.3%.0% 3.3% % of Total 2.5%.8%.0% 3.3% Total Count % within Pendidikan 37.5% 36.7% 25.8% 100.0% % within Organisasi Komitmen 100.0% 100.0% 100.0% 100.0% % of Total 37.5% 36.7% 25.8% 100.0% Chi-Square Tests Value Df Asymp. Sig. (2- sided) Pearson Chi-Square a Likelihood Ratio Linear-by-Linear Association N of Valid Cases 120 a. 12 cells (66,7%) have expected count less than 5. The minimum expected count is,52.
15 Status Karyawan * Komitmen Karyawan terhadap Program 5S Crosstabulation Komitmen Karyawan Tinggi Sedang Rendah Total Status Karyawan Tetap Count % within Status Karyawan 36.3% 38.5% 25.3% 100.0% % within Komitmen 73.3% 79.5% 74.2% 75.8% % of Total 27.5% 29.2% 19.2% 75.8% Kontrak Count % within Status Karyawan 41.4% 31.0% 27.6% 100.0% % within Komitmen 26.7% 20.5% 25.8% 24.2% % of Total 10.0% 7.5% 6.7% 24.2% Total Count % within Status Karyawan 37.5% 36.7% 25.8% 100.0% % within Komitmen 100.0% 100.0% 100.0% 100.0% % of Total 37.5% 36.7% 25.8% 100.0% Chi-Square Tests Value df Asymp. Sig. (2- sided) Pearson Chi-Square.530 a Likelihood Ratio Linear-by-Linear Association N of Valid Cases 120 a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 7,49.
16 Masa Kerja*Komitmen Karyawan terhadap Program 5S Crosstab Komitmen Karyawan Tinggi Sedang Rendah Total Masa Kerja < 5 Tahun Count % within Masa Kerja 36.8% 36.8% 26.3% 100.0% % within Komitmen 62.2% 63.6% 64.5% 63.3% % of Total 23.3% 23.3% 16.7% 63.3% 5-10 Tahun Count % within Masa Kerja 42.1% 36.8% 21.1% 100.0% % within Komitmen 35.6% 31.8% 25.8% 31.7% % of Total 13.3% 11.7% 6.7% 31.7% Tahun Count % within Masa Kerja 20.0% 20.0% 60.0% 100.0% % within Komitmen 2.2% 2.3% 9.7% 4.2% % of Total.8%.8% 2.5% 4.2% Tahun Count % within Masa Kerja.0% 100.0%.0% 100.0% % within Komitmen.0% 2.3%.0%.8% % of Total.0%.8%.0%.8% Total Count % within Masa Kerja 37.5% 36.7% 25.8% 100.0% % within Komitmen 100.0% 100.0% 100.0% 100.0% % of Total 37.5% 36.7% 25.8% 100.0%
17 Chi-Square Tests Value df Asymp. Sig. (2- sided) Pearson Chi-Square a Likelihood Ratio Linear-by-Linear Association N of Valid Cases 120 a. 6 cells (50,0%) have expected count less than 5. The minimum expected count is,26.
18 Jenis Kelamin* Komitmen Karyawan terhadap Program 5S Crosstab Komitmen Karyawan Tinggi Sedang Rendah Total Jenis Kelamin Laki-Laki Count % within Jenis Kelamin 38.1% 33.3% 28.6% 100.0% % within Komitmen 71.1% 63.6% 77.4% 70.0% % of Total 26.7% 23.3% 20.0% 70.0% Perempuan Count % within Jenis Kelamin 36.1% 44.4% 19.4% 100.0% % within Komitmen 28.9% 36.4% 22.6% 30.0% % of Total 10.8% 13.3% 5.8% 30.0% Total Count % within Jenis Kelamin 37.5% 36.7% 25.8% 100.0% % within Komitmen 100.0% 100.0% 100.0% 100.0% % of Total 37.5% 36.7% 25.8% 100.0% Chi-Square Tests Value df Asymp. Sig. (2- sided) Pearson Chi-Square a Likelihood Ratio Linear-by-Linear Association N of Valid Cases 120 a. 0 cells (,0%) have expected count less than 5. The minimum expected count is 9,30.
Lampiran 1. Surat Uji Coba Penelitian dari Fakultas. Lampiran 2. Expert Judgement
57 Lampiran 1. Surat Uji Coba Penelitian dari Fakultas Lampiran 2. Expert Judgement 58 59 Lanjutan Lampiran 2. 60 Lanjutan Lampiran 2. 61 Lanjutan lampiran 2. 62 Lanjutan lampiran 2. 63 Lanjutan lampiran
More informationUniversitas Sumatera Utara
Crosstabs Kelompok Usia (thn) * Hiperplasia Crosstabulation Hiperplasia Simpleks Kompleks Total Kelompok Usia (thn) 40 Count 12 17 29 54,5% 77,3% 65,9% Total Count
More informationDaftar Perusahaan Otomotif yang Terdatar di Bursa Efek Indonesia(Periode )
114 Lampiran 1: Populasi Penelitian Daftar Perusahaan Otomotif yang Terdatar di Bursa Efek Indonesia(Periode 2006 2012) 89 1 PT. Astra Internasional Tbk. ASII 2 PT. Astra Otoparts Tbk. AUTO 3 PT. Indo
More informationCase Processing Summary. Cases Valid Missing Total N Percent N Percent N Percent % 0 0.0% % % 0 0.0%
GET FILE='C:\Users\acantrell\Desktop\demo5.sav'. DATASET NAME DataSet1 WINDOW=FRONT. EXAMINE VARIABLES=PASSYDSPG RUSHYDSPG /PLOT BOXPLOT HISTOGRAM /COMPARE GROUPS /STATISTICS DESCRIPTIVES /CINTERVAL 95
More informationLAMPIRAN A SKALA ADVERSITY INTELLIGENCE DAN PENYESUAIAN SOSIAL SETELAH UJI COBA
DATA LAMPIRAN 54 55 LAMPIRAN A SKALA ADVERSITY INTELLIGENCE DAN PENYESUAIAN SOSIAL SETELAH UJI COBA 56 Selamat Pagi/Siang/Sore Saya adalah mahasiswa fakultas psikologi di Universitas Esa Unggul. Saat ini
More informationStats 2002: Probabilities for Wins and Losses of Online Gambling
Abstract: Jennifer Mateja Andrea Scisinger Lindsay Lacher Stats 2002: Probabilities for Wins and Losses of Online Gambling The objective of this experiment is to determine whether online gambling is a
More informationAPPENDIX 1 DAFTAR POPULASI DAN SAMPEL TAHUN
APPENDIX 1 DAFTAR POPULASI DAN SAMPEL TAHUN 2011-2013 No Nama Perusahaan Kode Kriteria Kriteria Kriteri Kriteria Sampel 1 2 a 3 4 1. Agung Podomoro Land APLN 2. Alam Sutera Reality ASRI 3. Bekasi Asri
More informationD1.2 REPORT ON MOTORCYCLISTS IMPACTS WITH ROAD INFRASTRUCTURE BASED OF AN INDEPTH INVESTIGATION OF MOTORCYCLE ACCIDENTS
WP 1 D1.2 REPORT ON MOTORCYCLISTS IMPACTS WITH ROAD INFRASTRUCTURE BASED OF AN INDEPTH INVESTIGATION OF MOTORCYCLE ACCIDENTS Project Acronym: Smart RRS Project Full Title: Innovative Concepts for smart
More informationLampiran 1. Daftar Perusahaan. Hasil dari pemilihan sampel dengan kriteria tertentu adalah sebagai berikut:
Lampiran 1. Daftar Perusahaan Hasil dari pemilihan sampel dengan kriteria tertentu adalah sebagai berikut: NO KODE NAMA PERUSAHAAN 1. AISA Tiga Pilar Sejahtera Food 2. ALMI Alumindo Light Metal Industry
More informationTable 4.1: Descriptive Statistics for FAAM 26-Item ADL Subscale
Table 4.1: Descriptive Statistics for FAAM 26-Item ADL Subscale Item Content Number missing Mean Median SD Skewness (Std. Error) Kurtosis (Std. Error) 1) Standing 52(5.3%) 2.74 3 1.09-0.55(.078) -0.41(.16)
More informationDISMAS Evaluation: Dr. Elizabeth C. McMullan. Grambling State University
DISMAS Evaluation 1 Running head: Project Dismas Evaluation DISMAS Evaluation: 2007 2008 Dr. Elizabeth C. McMullan Grambling State University DISMAS Evaluation 2 Abstract An offender notification project
More informationOne-factor ANOVA by example
ANOVA One-factor ANOVA by example 2 One-factor ANOVA by visual inspection 3 4 One-factor ANOVA H 0 H 0 : µ 1 = µ 2 = µ 3 = H A : not all means are equal 5 One-factor ANOVA but why not t-tests t-tests?
More informationCHAPTER ANALYSIS AND INTERPRETATION Average total number of collisions for a try to be scored
CHAPTER 8 8.1 ANALYSIS AND INTERPRETATION As mentioned in the previous chapter, four key components have been identified as indicators of the level of significance of dominant collisions when evaluating
More informationMultilevel Models for Other Non-Normal Outcomes in Mplus v. 7.11
Multilevel Models for Other Non-Normal Outcomes in Mplus v. 7.11 Study Overview: These data come from a daily diary study that followed 41 male and female college students over a six-week period to examine
More informationPearson Edexcel Level 3 GCE Psychology Advanced Subsidiary Paper 2: Biological Psychology and Learning Theories
Write your name here Surname Other names Centre Number Candidate Number Pearson Edexcel Level 3 GCE Psychology Advanced Subsidiary Paper 2: Biological Psychology and Learning Theories Monday 23 May 2016
More informationPsychology Advanced Subsidiary Paper 2: Biological Psychology and Learning Theories
Write your name here Surname Other names Pearson Edexcel Level 3 GCE Centre Number Candidate Number Psychology Advanced Subsidiary Paper 2: Biological Psychology and Learning Theories Monday 22 May 2017
More informationAnalysis of Variance. Copyright 2014 Pearson Education, Inc.
Analysis of Variance 12-1 Learning Outcomes Outcome 1. Understand the basic logic of analysis of variance. Outcome 2. Perform a hypothesis test for a single-factor design using analysis of variance manually
More informationPreliminary statistical analysis of. the international eventing. results 2013
Lausanne 28/1/14 Preliminary statistical analysis of the international eventing results 2013 Overview of the talk Statistical analysis The data The statistical technique Analysis of the falls data (related
More informationIntroduction to Analysis of Variance (ANOVA) The Structural Model, The Summary Table, and the One- Way ANOVA
Introduction to Analysis of Variance (ANOVA) The Structural Model, The Summary Table, and the One- Way ANOVA Limitations of the t-test Although the t-test is commonly used, it has limitations Can only
More informationStatistical Analysis of PGA Tour Skill Rankings USGA Research and Test Center June 1, 2007
Statistical Analysis of PGA Tour Skill Rankings 198-26 USGA Research and Test Center June 1, 27 1. Introduction The PGA Tour has recorded and published Tour Player performance statistics since 198. All
More informationWeek 7 One-way ANOVA
Week 7 One-way ANOVA Objectives By the end of this lecture, you should be able to: Understand the shortcomings of comparing multiple means as pairs of hypotheses. Understand the steps of the ANOVA method
More informationPengujian Total Fenol
LAMPIRAN Lampiran 1. Dokumentasi Penelitian a. Preparasi sampel Persiapan alat dan bahan Pemotongan bahan b. Analisis proksimat Penimbangan sampel Analisis kadar lemak Analisis kadar protein Analisis abu
More informationASTERISK OR EXCLAMATION POINT?: Power Hitting in Major League Baseball from 1950 Through the Steroid Era. Gary Evans Stat 201B Winter, 2010
ASTERISK OR EXCLAMATION POINT?: Power Hitting in Major League Baseball from 1950 Through the Steroid Era by Gary Evans Stat 201B Winter, 2010 Introduction: After a playerʼs strike in 1994 which resulted
More informationCross-Cultural adaptation and assessment of the reliability and validity of the Thai Hill-Bone Compliance to High Blood Pressure Therapy Scale
Cross-Cultural adaptation and assessment of the reliability and validity of the Thai Hill-Bone Compliance to High Blood Pressure Therapy Scale Sakuntala Anuruang RN, BNS, MNS, PhD Candidate UTS:HEALTH
More informationINFLUENCE OF ENVIRONMENTAL PARAMETERS ON FISHERY
Chapter 5 INFLUENCE OF ENVIRONMENTAL PARAMETERS ON FISHERY 5. Introduction Environmental factors contribute to the population dynamics and abundance of marine fishery. The relationships between weather,
More informationThe Reliability of Intrinsic Batted Ball Statistics Appendix
The Reliability of ntrinsic Batted Ball Statistics Appendix Glenn Healey, EECS Department University of California, rvine, CA 92617 Given information about batted balls for a set of players, we review
More informationChapter 13. Factorial ANOVA. Patrick Mair 2015 Psych Factorial ANOVA 0 / 19
Chapter 13 Factorial ANOVA Patrick Mair 2015 Psych 1950 13 Factorial ANOVA 0 / 19 Today s Menu Now we extend our one-way ANOVA approach to two (or more) factors. Factorial ANOVA: two-way ANOVA, SS decomposition,
More informationISDS 4141 Sample Data Mining Work. Tool Used: SAS Enterprise Guide
ISDS 4141 Sample Data Mining Work Taylor C. Veillon Tool Used: SAS Enterprise Guide You may have seen the movie, Moneyball, about the Oakland A s baseball team and general manager, Billy Beane, who focused
More informationMGB 203B Homework # LSD = 1 1
MGB 0B Homework # 4.4 a α =.05: t = =.05 LSD = α /,n k t.05, 7 t α /,n k MSE + =.05 700 + = 4.8 n i n j 0 0 i =, j = 8.7 0.4 7. i =, j = 8.7.7 5.0 i =, j = 0.4.7. Conclusion: µ differs from µ and µ. b
More informationSTANDARD SCORES AND THE NORMAL DISTRIBUTION
STANDARD SCORES AND THE NORMAL DISTRIBUTION REVIEW 1.MEASURES OF CENTRAL TENDENCY A.MEAN B.MEDIAN C.MODE 2.MEASURES OF DISPERSIONS OR VARIABILITY A.RANGE B.DEVIATION FROM THE MEAN C.VARIANCE D.STANDARD
More informationSupplementary materials
Supplementary materials I. Pressure sensor calibration Our analysis is based on identification of the onset and offset of the inhalation relatively to the electrophysiological recordings. Onset and offset
More informationA study evaluating if targeted training for startle effect can improve pilot reactions in handling unexpected situations. DR. MICHAEL GILLEN, PH.D.
A study evaluating if targeted training for startle effect can improve pilot reactions in handling unexpected situations. DR. MICHAEL GILLEN, PH.D. Disclaimer I would like to thank the FSF, United Airlines,
More informationBiostatistics & SAS programming
Biostatistics & SAS programming Kevin Zhang March 6, 2017 ANOVA 1 Two groups only Independent groups T test Comparison One subject belongs to only one groups and observed only once Thus the observations
More informationProkopios Chatzakis, National and Kapodistrian University of Athens, Faculty of Physical Education and Sport Science 1
Differences between geographic areas (continents) in the distribution of medals at the Beijing Olympic Games 2008 and at the London Olympic Games. Prokopios Chatzakis, National and Kapodistrian University
More informationAP 11.1 Notes WEB.notebook March 25, 2014
11.1 Chi Square Tests (Day 1) vocab *new seats* examples Objectives Comparing Observed & Expected Counts measurements of a categorical variable (ex/ color of M&Ms) Use Chi Square Goodness of Fit Test Must
More informationREPLACING REDUNDANT STABILOMETRY PARAMETERS WITH RATIO AND MAXIMUM DEVIATION PARAMETERS
Proceedings of the 12th IASTED International Conference Biomedical Engineering (BioMed 2016) February 15-16, 2016 Innsbruck, Austria REPLACING REDUNDANT STABILOMETRY PARAMETERS WITH RATIO AND MAXIMUM DEVIATION
More informationConfidence Intervals with proportions
Confidence Intervals with proportions a.k.a., 1-proportion z-intervals AP Statistics Chapter 19 1-proportion z-interval Statistic + Critical value Standard deviation of the statistic POINT ESTIMATE STANDARD
More informationChapter 7. Comparing Two Population Means. Comparing two population means. T-tests: Independent samples and paired variables.
Chapter 7 Comparing Two Population Means Comparing two population means T-tests: Independent samples and paired variables. Usually subjects are assigned to treatment or control groups and one or more variables
More informationy ) s x x )(y i (x i r = 1 n 1 s y Statistics Lecture 7 Exploring Data , y 2 ,y n (x 1 ),,(x n ),(x 2 ,y 1 How two variables vary together
Statistics 111 - Lecture 7 Exploring Data Numerical Summaries for Relationships between Variables Administrative Notes Homework 1 due in recitation: Friday, Feb. 5 Homework 2 now posted on course website:
More informationA Combined Recruitment Index for Demersal Juvenile Cod in NAFO Divisions 3K and 3L
NAFO Sci. Coun. Studies, 29: 23 29 A Combined Recruitment Index for Demersal Juvenile Cod in NAFO Divisions 3K and 3L David C. Schneider Ocean Sciences Centre, Memorial University St. John's, Newfoundland,
More informationFinancial Econometrics and Volatility Models
Financial Econometrics and Volatility Models Ei Eric Zivot Updated: May 3, 2010 Eric Zivot. All Rights Reserved. Example Data: S&P 500 returns Daily Closing Prices 100 150 200 250 300 1960 1965 1970 1975
More informationRunning head: DATA ANALYSIS AND INTERPRETATION 1
Running head: DATA ANALYSIS AND INTERPRETATION 1 Data Analysis and Interpretation Final Project Vernon Tilly Jr. University of Central Oklahoma DATA ANALYSIS AND INTERPRETATION 2 Owners of the various
More informationTourism impacts from major sports events Visiting previous host destinations or future events
Tourism impacts from major sports events Visiting previous host destinations or future events Harry Arne Solberg and Arne M. Ulvnes Trondheim Business School Do major sports events create tourism impacts?
More informationComparison of Total Burned Calories and Heart Rate at Various Position in Futsal
IOP Conference Series: Materials Science and Engineering PAPER OPEN ACCESS Comparison of Total Burned Calories and Heart Rate at Various Position in Futsal To cite this article: A A Purnama et al 2017
More informationEXST7015: Salaries of all American league baseball players (1994) Salaries in thousands of dollars RAW DATA LISTING
ANOVA & Design Randomized Block Design Page 1 1 **EXAMPLE 1******************************************************; 2 *** The 1994 salaries of all American league baseball players ***; 3 *** as reported
More informationHow type 1 fimbriae help Escherichia coli to evade extracellular
Supplementary information How type fimbriae help Escherichia coli to evade extracellular antibiotics Ima Avalos Vizcarra, Vahid Hosseini, Philip Kollmannsberger, Stefanie Meier, Stefan S. Weber 2, Markus
More informationLecture 22: Multiple Regression (Ordinary Least Squares -- OLS)
Statistics 22_multiple_regression.pdf Michael Hallstone, Ph.D. hallston@hawaii.edu Lecture 22: Multiple Regression (Ordinary Least Squares -- OLS) Some Common Sense Assumptions for Multiple Regression
More informationANALYSIS OF THE DOMINATING POWER OF SERVICE RECEPTION IN VOLLEYBALL IN DIFFERENT LEVELS OF COMPETITIONS
ANALYSIS OF THE DOMINATING POWER OF SERVICE RECEPTION IN VOLLEYBALL IN DIFFERENT LEVELS OF COMPETITIONS 1 SANJIB GHOSH 2 DR. MAHESH SWETA 1 Research scholar, department of Physical Education, Visva-Bharati,
More informationLAMPIRAN. Lampiran 1 Data Sampel Penelitian
LAMPIRAN Lampiran 1 Data Sampel Penelitian Variabel Audit Tenure pada Perusahaan Sampel NO KODE 2011 2012 2013 1 APLN (BING HARIANTO,SE) 1 (ALVIN ISMARTO) 1 (ALVIN ISMARTO) 2 2 ASRI (HIDAJAT RAHARDJO )1
More informationADULT SALMONID SPAWNING MIGRATION
ADULT SALMONID SPAWNING MIGRATION Inter specific differences and similarities in the River Tweed, UK Niall Gauld Durham University Spawning migration Like many animals salmonids return to their natal area
More informationPersonaliti Ekstraversi Sebagai Moderator dalam Hubungan antara Kecerdasan Emosi dengan Estim Kendiri Pekerja. Siti Sarawati Johar (PhD) 1, a *
Personaliti Ekstraversi Sebagai Moderator dalam Hubungan antara Kecerdasan Emosi dengan Estim Kendiri Pekerja Siti Sarawati Johar (PhD) 1, a * Abstrak. Dimensi personaliti telah mendapat tempat dalam asas
More informationIMPACT OF TRANSIT SIGNAL PRIORITY (TSP) ON BUS TRAVEL TIMES, LATE BUS RECOVERY, DELAY AND LEVEL OF SERVICE (LOS)
IMPACT OF TRANSIT SIGNAL PRIORITY (TSP) ON BUS TRAVEL TIMES, LATE BUS RECOVERY, DELAY AND LEVEL OF SERVICE (LOS) Presenter: Sotonye Ikiriko 1, Deo Chimba 1 College of Engineering, Tennessee State University,
More informationStatistical Analysis on Relationship between Muhammadiyah Growths in and its Heritage
International Journal of Applied Business and Information Systems ISSN: 2597-8993 Vol 1, No 2, September 2017, pp. 26-33 26 Statistical Analysis on Relationship between Growths in 1912 1964 and its Heritage
More informationSmall Game Hunter Lead Shot Study. Appendices. A cooperative study conducted by:
183 Small Game Hunter Lead Shot Study Appendices A cooperative study conducted by: Minnesota Cooperative Fish and Wildlife Research Unit Minnesota Department of atural Resources 184 Small Game Hunter Lead
More informationA Comparative Study on Speed and Endurance among Basketball and Kho-Kho Players of Hyderabad
A Comparative Study on Speed and Endurance among Basketball and Kho-Kho Players of Hyderabad Mr. Shareefa Abed Abdullah Master of Physical Education University College of Physical Education, Osmania University
More informationTotal Ionization Dose (TID) Test Results of the RH1028MW Ultralow Noise Precision High Speed Operational Low Dose Rate (LDR)
Total Ionization Dose (TID) Test Results of the RH1028MW Ultralow Noise Precision High Speed Operational Amplifiers @ Low Dose Rate (LDR) LDR = 10 mrads(si)/s 20 February 2015 Duc Nguyen, Sana Rezgui Acknowledgements
More informationYoungs Creek Hydroelectric Project
Youngs Creek Hydroelectric Project (FERC No. 10359) Resident Trout Monitoring Plan Annual Report 2014 Survey Prepared by: Everett, WA November 2014 Final This document has been prepared for the District.
More informationBASKETBALL PREDICTION ANALYSIS OF MARCH MADNESS GAMES CHRIS TSENG YIBO WANG
BASKETBALL PREDICTION ANALYSIS OF MARCH MADNESS GAMES CHRIS TSENG YIBO WANG GOAL OF PROJECT The goal is to predict the winners between college men s basketball teams competing in the 2018 (NCAA) s March
More informationBIOMECHANICAL LOADING OF INSTEP KICK FOR MALAYSIAN FOOTBALLER DAYANG KHAIRUNNISA BINTI ABANG KIPRAWI
BIOMECHANICAL LOADING OF INSTEP KICK FOR MALAYSIAN FOOTBALLER DAYANG KHAIRUNNISA BINTI ABANG KIPRAWI Report submitted in partial fulfillment of the requirements for the award of Bachelor of Mechanical
More informationPressured Applied by the Emergency/Israeli Bandage
Pressured Applied by the Emergency/Israeli Bandage By Charles S. Lessard, Ph.D. Nolan Shipman, M.D. Amanda Bickham Jasper Butler 9 December 2007 1 Introduction At the request of Performance Systems, this
More informationPitching Performance and Age
Pitching Performance and Age Jaime Craig, Avery Heilbron, Kasey Kirschner, Luke Rector and Will Kunin Introduction April 13, 2016 Many of the oldest and most long- term players of the game are pitchers.
More informationA COMPARATIVE STUDY ON RESPIRATORY PARAMETERS BETWEEN SHORT DISTANCE AND LONG DISTANCE SWIMMERS
A COMPARATIVE STUDY ON RESPIRATORY PARAMETERS BETWEEN SHORT DISTANCE AND LONG DISTANCE SWIMMERS Baghel Priya PhD scholar, LNIPE, Gwalior, M.P., India ABSTRACT The purpose of the study was to find out the
More informationIs lung capacity affected by smoking, sport, height or gender. Table of contents
Sample project This Maths Studies project has been graded by a moderator. As you read through it, you will see comments from the moderator in boxes like this: At the end of the sample project is a summary
More informationTHE EFFECTIVENESS OF VOLLEYBALL SMASH TRAINING MODEL ON IMROVING SMASH CAPABILITIES OF VOLLEYBALL PLAYERS
THE EFFECTIVENESS OF VOLLEYBALL SMASH TRAINING MODEL ON IMROVING SMASH CAPABILITIES OF VOLLEYBALL PLAYERS Doby Putro Parlindungan University of Muhammadiyah Jakarta, Indonesia Dobyparlindungan@gmail.com
More informationThe development of achievements in sports can
ORIGINAL ARTICLE TRENDS in Sport Sciences 2018; 2(25): 85-91 ISSN 2299-9590 DOI: 10.23829/TSS.2018.25.2-4 The relationship between leg length and crescent kick speed in Pencak Silat sport AISAH R. POMATAHU
More informationPitching Performance and Age
Pitching Performance and Age By: Jaime Craig, Avery Heilbron, Kasey Kirschner, Luke Rector, Will Kunin Introduction April 13, 2016 Many of the oldest players and players with the most longevity of the
More informationMath SL Internal Assessment What is the relationship between free throw shooting percentage and 3 point shooting percentages?
Math SL Internal Assessment What is the relationship between free throw shooting percentage and 3 point shooting percentages? fts6 Introduction : Basketball is a sport where the players have to be adept
More informationAnalysis of Car-Pedestrian Impact Scenarios for the Evaluation of a Pedestrian Sensor System Based on the Accident Data from Sweden
136 S.N. Huang, J.K. Yang Division of Vehicle Safety, Chalmers University of Technology, Göteborg, Sweden F. Eklund Automotive Safety Electronics, Autoliv Electronics AB, Linköping, Sweden Analysis of
More informationCS 7641 A (Machine Learning) Sethuraman K, Parameswaran Raman, Vijay Ramakrishnan
CS 7641 A (Machine Learning) Sethuraman K, Parameswaran Raman, Vijay Ramakrishnan Scenario 1: Team 1 scored 200 runs from their 50 overs, and then Team 2 reaches 146 for the loss of two wickets from their
More informationDriv e accu racy. Green s in regul ation
LEARNING ACTIVITIES FOR PART II COMPILED Statistical and Measurement Concepts We are providing a database from selected characteristics of golfers on the PGA Tour. Data are for 3 of the players, based
More informationTeachers Emphasize Science Investigation Scale, Eighth Grade
Teachers Emphasize Science Investigation Scale, Eighth Grade The Teachers Emphasize Science Investigation (ESI) scale was created based on teachers responses to how often they used the eight instructional
More informationHighly Cited Psychometrika Articles:
Highly Cited Psychometrika Articles: 1936 2001 1 2016 1 List compiled by Willem Heiser and Larry Hubert. Citation counts are from Google Scholar as of April, 1 Greater than 3000 citations: Akaike, H. (1987).
More informationRELIABILITY AND VALIDITY OF JUDGING IN MEN S ARTISTIC GYMNASTICS AT THE 2009 UNIVERSITY GAMES
RELIABILITY AND VALIDITY OF JUDGING IN MEN S ARTISTIC GYMNASTICS AT THE 2009 UNIVERSITY GAMES Bojan Leskošek 1, Ivan Čuk 1, István Karácsony 2, Jernej Pajek 3, Maja Bučar 1 1 University of Ljubljana, Faculty
More informationRISK FACTORS OF CHILDREN BEHAVIOR IN SCHISTOSOMYTHICAL TRANSFER IN TWO VILLAGES OF LINDU REGENCY, SIGI DISTRICT, CENTRAL SULAWESI IN 2017
RISK FACTORS OF CHILDREN BEHAVIOR IN SCHISTOSOMYTHICAL TRANSFER IN TWO VILLAGES OF LINDU REGENCY, SIGI DISTRICT, CENTRAL SULAWESI IN 2017 Tri Sulistiyawati 1, Budi Utomo 2, Soeharto 3 1 Master Program
More informationTransportation Research Forum
Transportation Research Forum Modeling through Traffic Speed at Roundabouts along Urban and Suburban Street Arterials Author(s): Bashar H. Al-Omari, Khalid A. Ghuzlan, and Lina B. Al-Helo Source: Journal
More informationRELATIONSHIP BETWEEN REACTION TIME AND DECEPTION TYPE DURING SMASH IN BADMINTON
Journal of Sports Research 2014 Vol.1, No.3, pp. 49-56 ISSN(e): 2410-6534 ISSN(p): 2413-8436 DOI: 10.18488/journal.90/2014.1.3/90.3.49.56 RELATIONSHIP BETWEEN REACTION TIME AND DECEPTION TYPE DURING SMASH
More informationCalculating Probabilities with the Normal distribution. David Gerard
Calculating Probabilities with the Normal distribution David Gerard 2017-09-18 1 Learning Objectives Standardizing Variables Normal probability calculations. Section 3.1 of DBC 2 Standardizing Variables
More informationFMSN60/MASM18 Financial Statistics Lecture 1, Introduction and stylized facts. Magnus Wiktorsson
FMSN60/MASM18 Financial Statistics Lecture 1, Introduction and stylized facts Magnus Wiktorsson People and homepage Magnus Wiktorsson: magnusw@maths.lth.se, 222 86 25, MH:130 (Lecturer) Samuel Wiqvist:
More informationBackground Information. Project Instructions. Problem Statement. EXAM REVIEW PROJECT Microsoft Excel Review Baseball Hall of Fame Problem
Background Information Every year, the National Baseball Hall of Fame conducts an election to select new inductees from candidates nationally recognized for their talent or association with the sport of
More informationDistancei = BrandAi + 2 BrandBi + 3 BrandCi + i
. Suppose that the United States Golf Associate (USGA) wants to compare the mean distances traveled by four brands of golf balls when struck by a driver. A completely randomized design is employed with
More informationsave percentages? (Name) (University)
1 IB Maths Essay: What is the correlation between the height of football players and their save percentages? (Name) (University) Table of Contents Raw Data for Analysis...3 Table 1: Raw Data...3 Rationale
More informationChapter 12 Practice Test
Chapter 12 Practice Test 1. Which of the following is not one of the conditions that must be satisfied in order to perform inference about the slope of a least-squares regression line? (a) For each value
More informationProposed Road Bike Brake Lever Measurements for Filipino College Women in Mega Manila Area
China-USA Business Review, December 2015, Vol. 14, No. 12, 628-635 doi: 10.17265/1537-1514/2015.12.007 D DAVID PUBLISHING Proposed Road Bike Brake Lever Measurements for Filipino College Women in Mega
More informationKeywords: multiple linear regression; pedestrian crossing delay; right-turn car flow; the number of pedestrians;
Available online at www.sciencedirect.com ScienceDirect Procedia - Social and Behavioral Scien ce s 96 ( 2013 ) 1997 2003 13th COTA International Conference of Transportation Professionals (CICTP 2013)
More informationCompetition Jumping Horses: Effects of Age, Sex and Breed on the Fei/Wbfsh World Ranking
Competition Jumping Horses: Effects of Age, Sex and Breed on the Fei/Wbfsh World Ranking Anca ROMAN-POPOVICI *, Dan SUMOVSCHI, Ioan GÎLCĂ Faculty of Animal Science, University of Agricultural Science and
More informationPLANNED ORTHOGONAL CONTRASTS
PLANNED ORTHOGONAL CONTRASTS Please note: This handout is useful background for the workshop, not what s covered in it. Basic principles for contrasts are the same in repeated measures. Planned orthogonal
More informationA COMPARATIVE STUDY OF PHYSICAL DIFFERENCES BETWEEN ATHLETES OF SELECTED EVENTS IN TRACK AND FIELD
A COMPARATIVE STUDY OF PHYSICAL DIFFERENCES BETWEEN ATHLETES OF SELECTED EVENTS IN TRACK AND FIELD Singh Somanpreet Research Scholar, Center For Advanced Studies, LNUPE, Gwalior,M.P, India soman53preet17@gmail.com
More informationOptimization of Pencak Silat Athletes Coordination Through Brain Jogging
IOP Conference Series: Materials Science and Engineering PAPER OPEN ACCESS Optimization of Pencak Silat Athletes Coordination Through Brain Jogging To cite this article: M Y Saputra et al 2017 IOP Conf.
More informationSample Final Exam MAT 128/SOC 251, Spring 2018
Sample Final Exam MAT 128/SOC 251, Spring 2018 Name: Each question is worth 10 points. You are allowed one 8 1/2 x 11 sheet of paper with hand-written notes on both sides. 1. The CSV file citieshistpop.csv
More informationTraffic Safety Barriers to Walking and Bicycling Analysis of CA Add-On Responses to the 2009 NHTS
Traffic Safety Barriers to Walking and Bicycling Analysis of CA Add-On Responses to the 2009 NHTS NHTS Users Conference June 2011 Robert Schneider, Swati Pande, & John Bigham, University of California
More informationSTAT 101 Assignment 1
STAT 1 Assignment 1 1. From the text: # 1.30 on page 29. A: For the centre the median is 2, the mean is 2.62. I am happy with either for an answer and I am happy to have these read off roughly by eye.
More informationAn Empirical Comparison of Regression Analysis Strategies with Discrete Ordinal Variables
Kromrey & Rendina-Gobioff An Empirical Comparison of Regression Analysis Strategies with Discrete Ordinal Variables Jeffrey D. Kromrey Gianna Rendina-Gobioff University of South Florida The Type I error
More informationAquaculture Technology - PBBT301 UNIT I - MARINE ANIMALS IN AQUACULTURE
Aquaculture Technology - PBBT301 UNIT I - MARINE ANIMALS IN AQUACULTURE PART A 1. Define aquaculture. 2. Write two objectives of aquaculture? 3. List the types of aquaculture. 4. What is monoculture? 5.
More informationStat 139 Homework 3 Solutions, Spring 2015
Stat 39 Homework 3 Solutions, Spring 05 Problem. Let i Nµ, σ ) for i,..., n, and j Nµ, σ ) for j,..., n. Also, assume that all observations are independent from each other. In Unit 4, we learned that the
More informationAnnouncements. % College graduate vs. % Hispanic in LA. % College educated vs. % Hispanic in LA. Problem Set 10 Due Wednesday.
Announcements Announcements UNIT 7: MULTIPLE LINEAR REGRESSION LECTURE 1: INTRODUCTION TO MLR STATISTICS 101 Problem Set 10 Due Wednesday Nicole Dalzell June 15, 2015 Statistics 101 (Nicole Dalzell) U7
More informationGeorge F. Will, Men at Work
Part of baseball s charm is the illusion it offers that all aspects of it can be completely reduced to numerical expressions and printed in agate type in the sport section. George F. Will, Men at Work
More informationTIMSS 2011 The TIMSS 2011 Students Like Learning Science Scale, Eighth Grade
TIMSS 2011 The TIMSS 2011 Students Like Learning Science Scale, Eighth Grade The Students Like Learning Science (SLS) scale was created based on students degree of agreement to the five statements described
More informationNavigate to the golf data folder and make it your working directory. Load the data by typing
Golf Analysis 1.1 Introduction In a round, golfers have a number of choices to make. For a particular shot, is it better to use the longest club available to try to reach the green, or would it be better
More informationPEMBERITAHUAN PERTANYAAN BAGI JAWAB LISAN DEWAN RAKYAT TUAN WILLIAM LEONG JEE KEEN [ SELAYANG ]
NO. SOALAN: 72 PEMBERITAHUAN PERTANYAAN BAGI JAWAB LISAN DEWAN RAKYAT PERTANYAAN : LISAN DARIPADA TUAN WILLIAM LEONG JEE KEEN [ SELAYANG ] TARIKH 27 MEI 2015 RUJUKAN 7906 SOALAN: Tuan William Leong Jee
More informationProfessionals Play Minimax: Appendix
Professionals Play Minimax: Appendix Ignacio Palacios-Huerta Brown University July 2002 In this supplementary appendix we first report additional descriptive statistics in section 1. We begin by reporting
More information