1. Reliabilitas dan Validitas Tes Lingkungan Kerja
|
|
|
- Angelica Burns
- 7 years ago
- Views:
Transcription
1 Lampiran Reliabilitas dan Validitas Tes Item-Total Statistics Lingkungankerja Disiplinkerja Prestasikerja Kepemimpinan Scale Corrected Cronbach's Scale Mean if Variance if Item-Total Alpha if Item Correlation Deleted Reliabilitas dan Validitas Tes Lingkungan Kerja Item-Total Statistics Item Item Item3 Item4 Item5 Item6 Item7 Item8 Item9 Item Scale Mean if Scale Variance if Corrected Item-Total Correlation Cronbach's Alpha if Item Deleted
2 . Reliabilitas dan Validitas Tes Disiplin Kerja Item-Total Statistics Item Item Item3 Item4 Item5 Item6 Item7 Item8 Item9 Scale Mean if Scale Variance if Corrected Item-Total Correlation Cronbach's Alpha if Item Deleted Validitas dan Reliabilitas Test Prestasi Kerja Item-Total Statistics Item Item Item3 Item4 Item5 Item6 Item7 Scale Mean if Scale Variance if Corrected Item-Total Correlation Cronbach's Alpha if Item Deleted
3 3. Validitas dan Reliabilitas Tes Kepemimpinan Item-Total Statistics Item Item Item3 Item4 Item5 Item6 Item7 Scale Mean if Scale Variance if Corrected Item-Total Correlation Cronbach's Alpha if Item Deleted
4 Lampiran. Hipotesis Pertama dan Hipotesis Kedua Hipotesis Pertama () Regression Entered/Removed b Model Entered Disiplinker Removed Method ja,. Enter Lingkunga nkerja a a. All requested variables entered. b. Dependent Variable: Prestasikerja Model Summary b Model R R Square Adjusted R Square Std. Error of the Estimate.769 a a. Predictors: (Constant), Disiplinkerja, Lingkungankerja b. Dependent Variable: Prestasikerja ANOVA b Model Sum of Squares df Mean Square F Sig. Regression a Residual Total a. Predictors: (Constant), Disiplinkerja, Lingkungankerja b. Dependent Variable: Prestasikerja
5 Model (Constant) Lingkungankerja Disiplinkerja a. Dependent Variable: Prestasikerja Coefficients a Unstandardized Coefficients Standardized Coefficients B Std. Error Beta t Sig Residuals Statistics a Minimum Maximum Mean Std. Deviation N Predicted Value Residual Std. Predicted Value Std. Residual a. Dependent Variable: Prestasikerja Uji Normalitas Hipotesis Pertama () NPar Tests One-Sample Kolmogorov-Smirnov Test N Normal Parameters a,b Mean Std. Deviation Most Extreme Absolute Differences Positive Negative Kolmogorov-Smirnov Z Asymp. Sig. (-tailed) a. Test distribution is Normal. b. Calculated from data. Unstandardiz ed Residual
6 Charts Histogram Dependent Variable: Prestasikerja.5 Frequency Mean =-.5E-6 Std. Dev. =.975 N =4 Regression Standardized Residual Normal P-P Plot of Regression Standardized Residual Dependent Variable: Prestasikerja. Expected Cum Prob Observed Cum Prob
7 Scatterplot Dependent Variable: Prestasikerja 4 Regression Standardized Residual Regression Standardized Predicted Value 3 Uji Multikolinearitas Entered/Removed(b) Model Entered Disiplinkerja, Lingkungan kerja(a) Removed a All requested variables entered. b Dependent Variable: Prestasikerja. Enter Method
8 Model Lingkungankerja Disiplinkerja Coefficients a a. Dependent Variable: Prestasikerja Collinearity Statistics Tolerance VIF Collinearity Diagnostics a Model Dimension 3 a. Dependent Variable: Prestasikerja Variance Proportions Condition Lingkung Eigenvalue Index (Constant) ankerja Disiplinkerja Residuals Statistics a Minimum Maximum Mean Std. Deviation N Predicted Value Residual Std. Predicted Value Std. Residual a. Dependent Variable: Prestasikerja Hipotesis Kedua () Entered/Removed b Model Entered Removed Method Kepemimp inan a. Enter a. All requested variables entered. b. Dependent Variable: Disiplinkerja
9 Model Model Summary b Adjusted Std. Error of R R Square R Square the Estimate.646 a a. Predictors: (Constant), Kepemimpinan b. Dependent Variable: Disiplinkerja Coefficients Uji-t Secara Parsial(a) Unstandardized Coefficients Standardized Coefficients t Sig. Model B Std. Error Beta B Std. Error (Constant) Kepemimpinan a Dependent Variable: Disiplinkerja Residuals Statistics a Minimum Maximum Mean Std. Deviation N Predicted Value Residual Std. Predicted Value Std. Residual a. Dependent Variable: Disiplinkerja NPar Tests One-Sample Kolmogorov-Smirnov Test Hipotesis Kedua N Normal Parameters a,b Most Extreme Differences Kolmogorov-Smirnov Z Asymp. Sig. (-tailed) Mean Std. Deviation Absolute Positive Negative Unstandardized Residual a. Test distribution is Normal. b. Calculated from data.
10 Charts Histogram Dependent Variable: Disiplinkerja.5 Frequency Mean =3.8E-6 Std. Dev. =.988 N =4 Regression Standardized Residual
11 Normal P-P Plot of Regression Standardized Residual Dependent Variable: Disiplinkerja. Expected Cum Prob Observed Cum Prob Scatterplot Dependent Variable: Disiplinkerja Regression Standardized Residual Regression Standardized Predicted Value 3
DAFTAR PUSTAKA. Arifin Ali, 2002, Membaca Saham, Edisi I, Yogyakarta : Andi. Bapepam, 2004, Ringkasan Data Perusahaan, Jakarta : Bapepam
03 DAFTAR PUSTAKA Arifin Ali, 00, Membaca Saham, Edisi I, Yogyakarta : Andi Bapepam, 004, Ringkasan Data Perusahaan, Jakarta : Bapepam Darmadji Tjiptono dan Fakhruddin M Hendy, 006, Pasar Modal di Indonesia,
Multiple Regression in SPSS This example shows you how to perform multiple regression. The basic command is regression : linear.
Multiple Regression in SPSS This example shows you how to perform multiple regression. The basic command is regression : linear. In the main dialog box, input the dependent variable and several predictors.
Simple linear regression
Simple linear regression Introduction Simple linear regression is a statistical method for obtaining a formula to predict values of one variable from another where there is a causal relationship between
SPSS Guide: Regression Analysis
SPSS Guide: Regression Analysis I put this together to give you a step-by-step guide for replicating what we did in the computer lab. It should help you run the tests we covered. The best way to get familiar
Moderator and Mediator Analysis
Moderator and Mediator Analysis Seminar General Statistics Marijtje van Duijn October 8, Overview What is moderation and mediation? What is their relation to statistical concepts? Example(s) October 8,
Doing Multiple Regression with SPSS. In this case, we are interested in the Analyze options so we choose that menu. If gives us a number of choices:
Doing Multiple Regression with SPSS Multiple Regression for Data Already in Data Editor Next we want to specify a multiple regression analysis for these data. The menu bar for SPSS offers several options:
Chapter Seven. Multiple regression An introduction to multiple regression Performing a multiple regression on SPSS
Chapter Seven Multiple regression An introduction to multiple regression Performing a multiple regression on SPSS Section : An introduction to multiple regression WHAT IS MULTIPLE REGRESSION? Multiple
Univariate Regression
Univariate Regression Correlation and Regression The regression line summarizes the linear relationship between 2 variables Correlation coefficient, r, measures strength of relationship: the closer r is
Chapter 13 Introduction to Linear Regression and Correlation Analysis
Chapter 3 Student Lecture Notes 3- Chapter 3 Introduction to Linear Regression and Correlation Analsis Fall 2006 Fundamentals of Business Statistics Chapter Goals To understand the methods for displaing
Multiple Regression. Page 24
Multiple Regression Multiple regression is an extension of simple (bi-variate) regression. The goal of multiple regression is to enable a researcher to assess the relationship between a dependent (predicted)
Determinants of the Total Quality Management Implementation in SMEs in Iran (Case of Metal Industry)
International Journal of Business and Social Science Vol. 4 No. 16; December 2013 Determinants of the Total Quality Management Implementation in SMEs in Iran (Case of Metal Industry) Hamed Ramezani Planning
Factor Analysis. Principal components factor analysis. Use of extracted factors in multivariate dependency models
Factor Analysis Principal components factor analysis Use of extracted factors in multivariate dependency models 2 KEY CONCEPTS ***** Factor Analysis Interdependency technique Assumptions of factor analysis
SPSS-Applications (Data Analysis)
CORTEX fellows training course, University of Zurich, October 2006 Slide 1 SPSS-Applications (Data Analysis) Dr. Jürg Schwarz, juerg.schwarz@schwarzpartners.ch Program 19. October 2006: Morning Lessons
HYPOTHESIS TESTING WITH SPSS:
HYPOTHESIS TESTING WITH SPSS: A NON-STATISTICIAN S GUIDE & TUTORIAL by Dr. Jim Mirabella SPSS 14.0 screenshots reprinted with permission from SPSS Inc. Published June 2006 Copyright Dr. Jim Mirabella CHAPTER
Multicollinearity Richard Williams, University of Notre Dame, http://www3.nd.edu/~rwilliam/ Last revised January 13, 2015
Multicollinearity Richard Williams, University of Notre Dame, http://www3.nd.edu/~rwilliam/ Last revised January 13, 2015 Stata Example (See appendices for full example).. use http://www.nd.edu/~rwilliam/stats2/statafiles/multicoll.dta,
Correlation and Regression Analysis: SPSS
Correlation and Regression Analysis: SPSS Bivariate Analysis: Cyberloafing Predicted from Personality and Age These days many employees, during work hours, spend time on the Internet doing personal things,
NCSS Statistical Software Principal Components Regression. In ordinary least squares, the regression coefficients are estimated using the formula ( )
Chapter 340 Principal Components Regression Introduction is a technique for analyzing multiple regression data that suffer from multicollinearity. When multicollinearity occurs, least squares estimates
SPSS TUTORIAL & EXERCISE BOOK
UNIVERSITY OF MISKOLC Faculty of Economics Institute of Business Information and Methods Department of Business Statistics and Economic Forecasting PETRA PETROVICS SPSS TUTORIAL & EXERCISE BOOK FOR BUSINESS
THE IMPACT OF LOGISTICS PERFORMANCE ON ORGANIZATIONAL PERFORMANCE IN A SUPPLY CHAIN CONTEXT
Available online at http://cjlscience.org/ ISSN: 972-847 Vol. 17 No. 1 18-117 215 THE IMPACT OF LOGISTICS PERFORMANCE ON ORGANIZATIONAL PERFORMANCE IN A SUPPLY CHAIN CONTEXT Khadijeh Kheyrabadi 1* and
SPSS Guide How-to, Tips, Tricks & Statistical Techniques
SPSS Guide How-to, Tips, Tricks & Statistical Techniques Support for the course Research Methodology for IB Also useful for your BSc or MSc thesis March 2014 Dr. Marijke Leliveld Jacob Wiebenga, MSc CONTENT
Influence of Aggressivenessand Conservativenessin Investing and Financing Policies on Performance of Industrial Firms in Kenya
IOSR Journal of Economics and Finance (IOSR-JEF) e-issn: 2321-5933, p-issn: 2321-5925.Volume 2, Issue 5 (Jan. 2014), PP 27-32 Influence of Aggressivenessand Conservativenessin Investing and Financing Policies
CRITICAL FACTORS AFFECTING THE UTILIZATION OF CLOUD COMPUTING Alberto Daniel Salinas Montemayor 1, Jesús Fabián Lopez 2, Jesús Cruz Álvarez 3
CRITICAL FACTORS AFFECTING THE UTILIZATION OF CLOUD COMPUTING Alberto Daniel Salinas Montemayor 1, Jesús Fabián Lopez 2, Jesús Cruz Álvarez 3 Abstract: This research presets the critical factors that influence
Multiple Regression Using SPSS
Multiple Regression Using SPSS The following sections have been adapted from Field (2009) Chapter 7. These sections have been edited down considerably and I suggest (especially if you re confused) that
Chapter 23. Inferences for Regression
Chapter 23. Inferences for Regression Topics covered in this chapter: Simple Linear Regression Simple Linear Regression Example 23.1: Crying and IQ The Problem: Infants who cry easily may be more easily
Introduction. Research Problem. Larojan Chandrasegaran (1), Janaki Samuel Thevaruban (2)
Larojan Chandrasegaran (1), Janaki Samuel Thevaruban (2) Determining Factors on Applicability of the Computerized Accounting System in Financial Institutions in Sri Lanka (1) Department of Finance and
1.1. Simple Regression in Excel (Excel 2010).
.. Simple Regression in Excel (Excel 200). To get the Data Analysis tool, first click on File > Options > Add-Ins > Go > Select Data Analysis Toolpack & Toolpack VBA. Data Analysis is now available under
A Basic Guide to Analyzing Individual Scores Data with SPSS
A Basic Guide to Analyzing Individual Scores Data with SPSS Step 1. Clean the data file Open the Excel file with your data. You may get the following message: If you get this message, click yes. Delete
Simple Linear Regression, Scatterplots, and Bivariate Correlation
1 Simple Linear Regression, Scatterplots, and Bivariate Correlation This section covers procedures for testing the association between two continuous variables using the SPSS Regression and Correlate analyses.
DEPARTMENT OF PSYCHOLOGY UNIVERSITY OF LANCASTER MSC IN PSYCHOLOGICAL RESEARCH METHODS ANALYSING AND INTERPRETING DATA 2 PART 1 WEEK 9
DEPARTMENT OF PSYCHOLOGY UNIVERSITY OF LANCASTER MSC IN PSYCHOLOGICAL RESEARCH METHODS ANALYSING AND INTERPRETING DATA 2 PART 1 WEEK 9 Analysis of covariance and multiple regression So far in this course,
Data Analysis for Marketing Research - Using SPSS
North South University, School of Business MKT 63 Marketing Research Instructor: Mahmood Hussain, PhD Data Analysis for Marketing Research - Using SPSS Introduction In this part of the class, we will learn
Student debt from higher education attendance is an increasingly troubling problem in the
Morrie Swerlick Student Debt Policy Memo 2/23/2012 Student debt from higher education attendance is an increasingly troubling problem in the United States. Due to rising costs and shrinking state expenditures,
Regression Analysis (Spring, 2000)
Regression Analysis (Spring, 2000) By Wonjae Purposes: a. Explaining the relationship between Y and X variables with a model (Explain a variable Y in terms of Xs) b. Estimating and testing the intensity
EPS 625 INTERMEDIATE STATISTICS FRIEDMAN TEST
EPS 625 INTERMEDIATE STATISTICS The Friedman test is an extension of the Wilcoxon test. The Wilcoxon test can be applied to repeated-measures data if participants are assessed on two occasions or conditions
1. What is the critical value for this 95% confidence interval? CV = z.025 = invnorm(0.025) = 1.96
1 Final Review 2 Review 2.1 CI 1-propZint Scenario 1 A TV manufacturer claims in its warranty brochure that in the past not more than 10 percent of its TV sets needed any repair during the first two years
KSTAT MINI-MANUAL. Decision Sciences 434 Kellogg Graduate School of Management
KSTAT MINI-MANUAL Decision Sciences 434 Kellogg Graduate School of Management Kstat is a set of macros added to Excel and it will enable you to do the statistics required for this course very easily. To
CHAPTER VI ON PRIORITY SECTOR LENDING
CHAPTER VI IMPACT OF PRIORITY SECTOR LENDING 6.1 PRINCIPAL FACTORS THAT HAVE DIRECT IMPACT ON PRIORITY SECTOR LENDING 6.2 ASSOCIATION BETWEEN THE PROFILE VARIABLES AND IMPACT OF PRIORITY SECTOR CREDIT
False. Model 2 is not a special case of Model 1, because Model 2 includes X5, which is not part of Model 1. What she ought to do is estimate
Sociology 59 - Research Statistics I Final Exam Answer Key December 6, 00 Where appropriate, show your work - partial credit may be given. (On the other hand, don't waste a lot of time on excess verbiage.)
Chapter 2 Probability Topics SPSS T tests
Chapter 2 Probability Topics SPSS T tests Data file used: gss.sav In the lecture about chapter 2, only the One-Sample T test has been explained. In this handout, we also give the SPSS methods to perform
Outline. Topic 4 - Analysis of Variance Approach to Regression. Partitioning Sums of Squares. Total Sum of Squares. Partitioning sums of squares
Topic 4 - Analysis of Variance Approach to Regression Outline Partitioning sums of squares Degrees of freedom Expected mean squares General linear test - Fall 2013 R 2 and the coefficient of correlation
THE USE OF REGRESSION ANALYSIS IN MARKETING RESEARCH
THE USE OF REGRESSION ANALYSIS IN MARKETING RESEARCH DUMITRESCU Luigi Lucian Blaga University of Sibiu, Romania STANCIU Oana Lucian Blaga University of Sibiu, Romania TICHINDELEAN Mihai Lucian Blaga University
Online versus Traditional Learning: A Comparison Study of Colorado Community College Science Classes
Online versus Traditional Learning: A Comparison Study of Colorado Community College Science Classes Introduction Students are currently given more and more options in postsecondary education be it the
EMPIRICAL INVESTIGATION OF LEADERSHIP STYLE ON ENHANCING TEAM BUILDING SKILLS
EMPIRICAL INVESTIGATION OF LEADERSHIP STYLE ON ENHANCING TEAM BUILDING SKILLS Prof. Dr. Muhammad Ehsan Malik Dean Faculty of Economics and Management Sciences Director, Institute of Business Administration
Institute of Actuaries of India Subject CT3 Probability and Mathematical Statistics
Institute of Actuaries of India Subject CT3 Probability and Mathematical Statistics For 2015 Examinations Aim The aim of the Probability and Mathematical Statistics subject is to provide a grounding in
Creating a Campus Netflow Model
Creating a Campus Netflow Model HUNG-JEN YANG, MIAO-KUEI HO, LUNG-HSING KUO Department of industry technology Education National Kaohsiung Normal University No.116, Heping 1st Rd., Lingya District, Kaohsiung
Factors Influencing Compliance with Occupational Safety and Health Regulations in Public Hospitals in Kenya: A Case Study of Thika Level 5 Hospital
Factors Influencing Compliance with Occupational Safety and Health in Public Hospitals in Kenya: A Case Study of Thika Level 5 Hospital Jane Wambilianga 1, Dr. Esther Waiganjo 2 M. Sc, Jomo Kenyatta University
The Dummy s Guide to Data Analysis Using SPSS
The Dummy s Guide to Data Analysis Using SPSS Mathematics 57 Scripps College Amy Gamble April, 2001 Amy Gamble 4/30/01 All Rights Rerserved TABLE OF CONTENTS PAGE Helpful Hints for All Tests...1 Tests
Effect of the learning support and the use of project management tools on project success: The case of Pakistan
Effect of the learning support and the use of project management tools on project success: The case of Pakistan Muhammad Javed 1 Atiq ur Rehman 2* M. Shahzad N.K. Lodhi 3 1. Student MSPM, SZABIST, Islamabad
Relationship Between Knowledge Management and Organizational Memory in Islamic Azad University
International Journal of Education and Information Technology Vol. 1, No. 4, 2015, pp. 139-147 http://www.aiscience.org/journal/ijeit Relationship Between Knowledge Management and Organizational Memory
A SUCCESFULL WAY TO SELL HANDICRAFTS IN ALBANIA
International Journal of Economics, Commerce and Management United Kingdom Vol. III, Issue 4, April 2015 http://ijecm.co.uk/ ISSN 2348 0386 A SUCCESFULL WAY TO SELL HANDICRAFTS IN ALBANIA EMPIRICAL EXPLORATION
Additional sources Compilation of sources: http://lrs.ed.uiuc.edu/tseportal/datacollectionmethodologies/jin-tselink/tselink.htm
Mgt 540 Research Methods Data Analysis 1 Additional sources Compilation of sources: http://lrs.ed.uiuc.edu/tseportal/datacollectionmethodologies/jin-tselink/tselink.htm http://web.utk.edu/~dap/random/order/start.htm
" Y. Notation and Equations for Regression Lecture 11/4. Notation:
Notation: Notation and Equations for Regression Lecture 11/4 m: The number of predictor variables in a regression Xi: One of multiple predictor variables. The subscript i represents any number from 1 through
Trust, Job Satisfaction, Organizational Commitment, and the Volunteer s Psychological Contract
Trust, Job Satisfaction, Commitment, and the Volunteer s Psychological Contract Becky J. Starnes, Ph.D. Austin Peay State University Clarksville, Tennessee, USA starnesb@apsu.edu Abstract Studies indicate
THE KRUSKAL WALLLIS TEST
THE KRUSKAL WALLLIS TEST TEODORA H. MEHOTCHEVA Wednesday, 23 rd April 08 THE KRUSKAL-WALLIS TEST: The non-parametric alternative to ANOVA: testing for difference between several independent groups 2 NON
6 Variables: PD MF MA K IAH SBS
options pageno=min nodate formdlim='-'; title 'Canonical Correlation, Journal of Interpersonal Violence, 10: 354-366.'; data SunitaPatel; infile 'C:\Users\Vati\Documents\StatData\Sunita.dat'; input Group
T-test & factor analysis
Parametric tests T-test & factor analysis Better than non parametric tests Stringent assumptions More strings attached Assumes population distribution of sample is normal Major problem Alternatives Continue
Simple Linear Regression Inference
Simple Linear Regression Inference 1 Inference requirements The Normality assumption of the stochastic term e is needed for inference even if it is not a OLS requirement. Therefore we have: Interpretation
Bill Burton Albert Einstein College of Medicine william.burton@einstein.yu.edu April 28, 2014 EERS: Managing the Tension Between Rigor and Resources 1
Bill Burton Albert Einstein College of Medicine william.burton@einstein.yu.edu April 28, 2014 EERS: Managing the Tension Between Rigor and Resources 1 Calculate counts, means, and standard deviations Produce
Does organizational culture cheer organizational profitability? A case study on a Bangalore based Software Company
Does organizational culture cheer organizational profitability? A case study on a Bangalore based Software Company S Deepalakshmi Assistant Professor Department of Commerce School of Business, Alliance
Chicago Booth BUSINESS STATISTICS 41000 Final Exam Fall 2011
Chicago Booth BUSINESS STATISTICS 41000 Final Exam Fall 2011 Name: Section: I pledge my honor that I have not violated the Honor Code Signature: This exam has 34 pages. You have 3 hours to complete this
1) Write the following as an algebraic expression using x as the variable: Triple a number subtracted from the number
1) Write the following as an algebraic expression using x as the variable: Triple a number subtracted from the number A. 3(x - x) B. x 3 x C. 3x - x D. x - 3x 2) Write the following as an algebraic expression
Can academic mentoring reduce the time to get a degree?
Can academic mentoring reduce the time to get a degree? Claudia Marin SFPC University of Bari claudia.marin@uniba.it ----------------- Anna Rinaldi DEM University of Bari amc.rinaldi@gmail.com We run a
SPSS Tests for Versions 9 to 13
SPSS Tests for Versions 9 to 13 Chapter 2 Descriptive Statistic (including median) Choose Analyze Descriptive statistics Frequencies... Click on variable(s) then press to move to into Variable(s): list
Introduction to Regression and Data Analysis
Statlab Workshop Introduction to Regression and Data Analysis with Dan Campbell and Sherlock Campbell October 28, 2008 I. The basics A. Types of variables Your variables may take several forms, and it
Independent t- Test (Comparing Two Means)
Independent t- Test (Comparing Two Means) The objectives of this lesson are to learn: the definition/purpose of independent t-test when to use the independent t-test the use of SPSS to complete an independent
The Relationship between Life Insurance and Economic Growth: Evidence from India
Global Journal of Management and Business Studies. ISSN 2248-9878 Volume 3, Number 4 (2013), pp. 413-422 Research India Publications http://www.ripublication.com/gjmbs.htm The Relationship between Life
Evaluating the Effectiveness of MBA Internship Programme An Experiential Approach
Evaluating the Effectiveness of MBA Internship Programme An Experiential Approach Dr Gunmala Suri & Shikha Sharma Abstract MBA internship is the opportunity for full-time a MBA student, that generally
Chapter 7: Simple linear regression Learning Objectives
Chapter 7: Simple linear regression Learning Objectives Reading: Section 7.1 of OpenIntro Statistics Video: Correlation vs. causation, YouTube (2:19) Video: Intro to Linear Regression, YouTube (5:18) -
Intercultural sensitivity of students from departments of nursing and healthcare administration. Abstract
Intercultural sensitivity of students from departments of nursing and healthcare administration Abstract Since globalization requires people from diverse cultural backgrounds to communicate effectively,
DISCRIMINANT FUNCTION ANALYSIS (DA)
DISCRIMINANT FUNCTION ANALYSIS (DA) John Poulsen and Aaron French Key words: assumptions, further reading, computations, standardized coefficents, structure matrix, tests of signficance Introduction Discriminant
Chapter 4 and 5 solutions
Chapter 4 and 5 solutions 4.4. Three different washing solutions are being compared to study their effectiveness in retarding bacteria growth in five gallon milk containers. The analysis is done in a laboratory,
Study on The Influence Factor of Cash Dividend Distribution in Listed
Study on The Influence Factor of Cash Dividend Distribution in Listed Companies 1 Wu He, 2 Ping Liu 1, Management Department Ningbo Institute of Technology Zhejiang University Ningbo, China, hewucpa@163.com
PsychTests.com advancing psychology and technology
PsychTests.com advancing psychology and technology tel 514.745.8272 fax 514.745.6242 CP Normandie PO Box 26067 l Montreal, Quebec l H3M 3E8 contact@psychtests.com Psychometric Report Resilience Test Description:
COMPARISONS OF CUSTOMER LOYALTY: PUBLIC & PRIVATE INSURANCE COMPANIES.
277 CHAPTER VI COMPARISONS OF CUSTOMER LOYALTY: PUBLIC & PRIVATE INSURANCE COMPANIES. This chapter contains a full discussion of customer loyalty comparisons between private and public insurance companies
www.kellogg.northwestern.edu/kis/tek/ongoing/spss.htm
First version: October 11, 2004 Last revision: January 14, 2005 KELLOGG RESEARCH COMPUTING Introduction to SPSS SPSS is a statistical package commonly used in the social sciences, particularly in marketing,
5. Linear Regression
5. Linear Regression Outline.................................................................... 2 Simple linear regression 3 Linear model............................................................. 4
Randomized Block Analysis of Variance
Chapter 565 Randomized Block Analysis of Variance Introduction This module analyzes a randomized block analysis of variance with up to two treatment factors and their interaction. It provides tables of
MULTIPLE REGRESSION ANALYSIS OF MAIN ECONOMIC INDICATORS IN TOURISM. R, analysis of variance, Student test, multivariate analysis
Journal of tourism [No. 8] MULTIPLE REGRESSION ANALYSIS OF MAIN ECONOMIC INDICATORS IN TOURISM Assistant Ph.D. Erika KULCSÁR Babeş Bolyai University of Cluj Napoca, Romania Abstract This paper analysis
2. Simple Linear Regression
Research methods - II 3 2. Simple Linear Regression Simple linear regression is a technique in parametric statistics that is commonly used for analyzing mean response of a variable Y which changes according
The Impact of Affective Human Resources Management Practices on the Financial Performance of the Saudi Banks
327 The Impact of Affective Human Resources Management Practices on the Financial Performance of the Saudi Banks Abdullah Attia AL-Zahrani King Saud University azahrani@ksu.edu.sa Ahmad Aref Almazari*
The importance of graphing the data: Anscombe s regression examples
The importance of graphing the data: Anscombe s regression examples Bruce Weaver Northern Health Research Conference Nipissing University, North Bay May 30-31, 2008 B. Weaver, NHRC 2008 1 The Objective
business statistics using Excel OXFORD UNIVERSITY PRESS Glyn Davis & Branko Pecar
business statistics using Excel Glyn Davis & Branko Pecar OXFORD UNIVERSITY PRESS Detailed contents Introduction to Microsoft Excel 2003 Overview Learning Objectives 1.1 Introduction to Microsoft Excel
RECRUITERS PRIORITIES IN PLACING MBA FRESHER: AN EMPIRICAL ANALYSIS
RECRUITERS PRIORITIES IN PLACING MBA FRESHER: AN EMPIRICAL ANALYSIS Miss Sangeeta Mohanty Assistant Professor, Academy of Business Administration, Angaragadia, Balasore, Orissa, India ABSTRACT Recruitment
THE RELATIONSHIP BETWEEN WORKING CAPITAL MANAGEMENT AND DIVIDEND PAYOUT RATIO OF FIRMS LISTED IN NAIROBI SECURITIES EXCHANGE
International Journal of Economics, Commerce and Management United Kingdom Vol. III, Issue 11, November 2015 http://ijecm.co.uk/ ISSN 2348 0386 THE RELATIONSHIP BETWEEN WORKING CAPITAL MANAGEMENT AND DIVIDEND
This chapter will demonstrate how to perform multiple linear regression with IBM SPSS
CHAPTER 7B Multiple Regression: Statistical Methods Using IBM SPSS This chapter will demonstrate how to perform multiple linear regression with IBM SPSS first using the standard method and then using the
IAPRI Quantitative Analysis Capacity Building Series. Multiple regression analysis & interpreting results
IAPRI Quantitative Analysis Capacity Building Series Multiple regression analysis & interpreting results How important is R-squared? R-squared Published in Agricultural Economics 0.45 Best article of the
Data Analysis Tools. Tools for Summarizing Data
Data Analysis Tools This section of the notes is meant to introduce you to many of the tools that are provided by Excel under the Tools/Data Analysis menu item. If your computer does not have that tool
Least Squares Regression. Alan T. Arnholt Department of Mathematical Sciences Appalachian State University arnholt@math.appstate.
Least Squares Regression Alan T. Arnholt Department of Mathematical Sciences Appalachian State University arnholt@math.appstate.edu Spring 2006 R Notes 1 Copyright c 2006 Alan T. Arnholt 2 Least Squares
Advertising value of mobile marketing through acceptance among youth in Karachi
MPRA Munich Personal RePEc Archive Advertising value of mobile marketing through acceptance among youth in Karachi Suleman Syed Akbar and Rehan Azam and Danish Muhammad IQRA UNIVERSITY 1. September 2012
HYPOTHESIS TESTING: CONFIDENCE INTERVALS, T-TESTS, ANOVAS, AND REGRESSION
HYPOTHESIS TESTING: CONFIDENCE INTERVALS, T-TESTS, ANOVAS, AND REGRESSION HOD 2990 10 November 2010 Lecture Background This is a lightning speed summary of introductory statistical methods for senior undergraduate
Data analysis process
Data analysis process Data collection and preparation Collect data Prepare codebook Set up structure of data Enter data Screen data for errors Exploration of data Descriptive Statistics Graphs Analysis
SPSS Notes (SPSS version 15.0)
SPSS Notes (SPSS version 15.0) Annie Herbert Salford Royal Hospitals NHS Trust July 2008 Contents Page Getting Started 1 1 Opening SPSS 1 2 Layout of SPSS 2 2.1 Windows 2 2.2 Saving Files 3 3 Creating
Effect of working capital management practices on financial performance: A study of small scale enterprises in Kisii South District, Kenya
African Journal of Business Management Vol. 6(8), pp. 5807-587, 9 May, 0 Available online at http://www.academicjournals.org/ajbm DOI: 0.5897/AJBM.8 ISSN 99-8 0 Academic Journals Full Length Research Paper
ANALYSIS OF USER ACCEPTANCE OF A NETWORK MONITORING SYSTEM WITH A FOCUS ON ICT TEACHERS
ANALYSIS OF USER ACCEPTANCE OF A NETWORK MONITORING SYSTEM WITH A FOCUS ON ICT TEACHERS Siti Rahayu Abdul Aziz 1, Mohamad Ibrahim 2, and Suhaimi Sauti 3 1 Universiti Teknologi MARA, Malaysia, rahayu@fskm.uitm.edu.my
Basic Statistics and Data Analysis for Health Researchers from Foreign Countries
Basic Statistics and Data Analysis for Health Researchers from Foreign Countries Volkert Siersma siersma@sund.ku.dk The Research Unit for General Practice in Copenhagen Dias 1 Content Quantifying association
An SPSS companion book. Basic Practice of Statistics
An SPSS companion book to Basic Practice of Statistics SPSS is owned by IBM. 6 th Edition. Basic Practice of Statistics 6 th Edition by David S. Moore, William I. Notz, Michael A. Flinger. Published by
A STUDY ON ONBOARDING PROCESS IN SIFY TECHNOLOGIES, CHENNAI
A STUDY ON ONBOARDING PROCESS IN SIFY TECHNOLOGIES, CHENNAI ABSTRACT S. BALAJI*; G. RAMYA** *Assistant Professor, School of Management Studies, Surya Group of Institutions, Vikravandi 605652, Villupuram
MTH 140 Statistics Videos
MTH 140 Statistics Videos Chapter 1 Picturing Distributions with Graphs Individuals and Variables Categorical Variables: Pie Charts and Bar Graphs Categorical Variables: Pie Charts and Bar Graphs Quantitative
SIMPLE LINEAR CORRELATION. r can range from -1 to 1, and is independent of units of measurement. Correlation can be done on two dependent variables.
SIMPLE LINEAR CORRELATION Simple linear correlation is a measure of the degree to which two variables vary together, or a measure of the intensity of the association between two variables. Correlation
Data driven approach in analyzing energy consumption data in buildings. Office of Environmental Sustainability Ian Tan
Data driven approach in analyzing energy consumption data in buildings Office of Environmental Sustainability Ian Tan Background Real time energy consumption data of buildings in terms of electricity (kwh)