TABULASI DATA DESKRIPSI RESPONDEN
|
|
|
- Matilda Bates
- 7 years ago
- Views:
Transcription
1 LAMPIRA 1
2 Lampiran 1 TABULASI DATA DESKRIPSI RESPODE o Jenis Kelamin Pekerjaan Penghasian/ Bulan Faktor Keputusan Membeli 1 Laki-laki Mahasiswa/Pelajar s/d Rp Laki-laki Mahasiswa/Pelajar s/d Rp Laki-laki Mahasiswa/Pelajar s/d Rp Laki-laki Mahasiswa/Pelajar s/d Rp Perempuan Mahasiswa/Pelajar s/d Rp Perempuan Mahasiswa/Pelajar s/d Rp Perempuan Mahasiswa/Pelajar s/d Rp Perempuan Mahasiswa/Pelajar s/d Rp Laki-laki Mahasiswa/Pelajar s/d Rp Laki-laki Mahasiswa/Pelajar s/d Rp Laki-laki Mahasiswa/Pelajar s/d Rp Laki-laki Mahasiswa/Pelajar s/d Rp Perempuan Mahasiswa/Pelajar s/d Rp Laki-laki Mahasiswa/Pelajar s/d Rp Perempuan Mahasiswa/Pelajar s/d Rp Laki-laki Mahasiswa/Pelajar s/d Rp Laki-laki Mahasiswa/Pelajar s/d Rp Laki-laki Mahasiswa/Pelajar s/d Rp Perempuan Mahasiswa/Pelajar s/d Rp Perempuan Mahasiswa/Pelajar s/d Rp Perempuan Mahasiswa/Pelajar s/d Rp Laki-laki Mahasiswa/Pelajar s/d Rp Laki-laki Mahasiswa/Pelajar s/d Rp Laki-laki Mahasiswa/Pelajar s/d Rp Perempuan Mahasiswa/Pelajar s/d Rp Perempuan Mahasiswa/Pelajar s/d Rp Laki-laki Mahasiswa/Pelajar s/d Rp Laki-laki Mahasiswa/Pelajar s/d Rp Perempuan Mahasiswa/Pelajar s/d Rp Perempuan Mahasiswa/Pelajar s/d Rp Perempuan Mahasiswa/Pelajar s/d Rp Perempuan Mahasiswa/Pelajar s/d Rp Perempuan Mahasiswa/Pelajar s/d Rp Perempuan Mahasiswa/Pelajar s/d Rp Perempuan Mahasiswa/Pelajar s/d Rp Perempuan Mahasiswa/Pelajar s/d Rp
3 o Jenis Kelamin Pekerjaan Penghasilan/ Bulan Faktor Keputusan Membeli 37 Laki-laki Mahasiswa/Pelajar s/d Rp Laki-laki Mahasiswa/Pelajar s/d Rp Laki-laki Mahasiswa/Pelajar s/d Rp Laki-laki Mahasiswa/Pelajar s/d Rp Laki-laki Pegawai egeri Sipil 42 Laki-laki Pegawai egeri Sipil > 43 Laki-laki Pegawai egeri Sipil > 44 Laki-laki Pegawai egeri Sipil > 45 Perempuan Pegawai egeri Sipil > 46 Perempuan Pegawai egeri Sipil > 47 Laki-laki Pegawai egeri Sipil > 48 Laki-laki Pegawai egeri Sipil > 49 Laki-laki Pegawai egeri Sipil > 50 Laki-laki Pegawai egeri Sipil > 51 Laki-laki Pegawai egeri Sipil > 52 Laki-laki Pegawai egeri Sipil > 53 Laki-laki Pegawai egeri Sipil > 54 Laki-laki Pegawai egeri Sipil > 55 Laki-laki Pegawai egeri Sipil > 56 Laki-laki Pegawai egeri Sipil > 57 Laki-laki Pegawai Swasta > 58 Laki-laki Pegawai Swasta > 59 Laki-laki Pegawai Swasta > 60 Laki-laki Pegawai Swasta > 61 Laki-laki Pegawai Swasta > 62 Perempuan Pegawai Swasta
4 o Jenis Kelamin Pekerjaan Penghasilan/ Bulan Faktor Keputusan Membeli 63 Perempuan Pegawai Swasta 64 Perempuan Pegawai Swasta 65 Perempuan Pegawai Swasta 66 Perempuan Pegawai Swasta 67 Perempuan Pegawai Swasta 68 Perempuan Pegawai Swasta 69 Perempuan Pegawai Swasta 70 Perempuan Pegawai Swasta 71 Perempuan Pegawai Swasta 72 Perempuan Pegawai Swasta 73 Perempuan Pegawai Swasta 74 Perempuan Pegawai Swasta 75 Perempuan Pegawai Swasta 76 Laki-laki Pegawai Swasta 77 Laki-laki Pegawai Swasta 78 Laki-laki Pegawai Swasta 79 Perempuan Pegawai Swasta 80 Perempuan Pegawai Swasta 81 Perempuan Pegawai Swasta 82 Laki-laki Pegawai Swasta 83 Perempuan Pegawai Swasta 84 Laki-laki Pegawai Swasta 85 Perempuan Pegawai Swasta 86 Perempuan Pegawai Swasta
5 o Jenis Kelamin Pekerjaan Penghasilan/ Bulan Faktor Keputusan Membeli 87 Perempuan Pegawai Swasta 88 Perempuan Pegawai Swasta 89 Perempuan Pegawai Swasta 90 Perempuan Pegawai Swasta 91 Perempuan Pegawai Swasta 92 Perempuan Pegawai Swasta 93 Perempuan Pegawai Swasta 94 Perempuan Pegawai Swasta 95 Perempuan Pegawai Swasta 96 Perempuan Pegawai Swasta 97 Perempuan Pegawai Swasta 98 Perempuan Pegawai Swasta 99 Perempuan Pegawai Swasta 100 Perempuan Pegawai Swasta 101 Perempuan Pegawai Swasta 102 Perempuan Pegawai Swasta 103 Perempuan Pegawai Swasta 104 Perempuan Pegawai Swasta s/d Rp Perempuan Pegawai Swasta s/d Rp Laki-laki Pegawai Swasta s/d Rp Laki-laki Pegawai Swasta s/d Rp Laki-laki Wiraswasta s/d Rp Laki-laki Wiraswasta s/d Rp Laki-laki Wiraswasta s/d Rp
6 o Jenis Kelamin Pekerjaan Penghasilan/ Bulan Faktor Keputusan Membeli 111 Laki-laki Wiraswasta s/d Rp Laki-laki Wiraswasta s/d Rp Laki-laki Wiraswasta s/d Rp Laki-laki Wiraswasta s/d Rp Laki-laki Wiraswasta s/d Rp Perempuan Wiraswasta s/d Rp Perempuan Wiraswasta s/d Rp Laki-laki Wiraswasta s/d Rp Laki-laki Wiraswasta s/d Rp Perempuan Wiraswasta s/d Rp Perempuan Wiraswasta s/d Rp Perempuan Wiraswasta s/d Rp Perempuan Wiraswasta s/d Rp Laki-laki Wiraswasta s/d Rp Laki-laki Wiraswasta s/d Rp Laki-laki Wiraswasta s/d Rp Laki-laki Wiraswasta s/d Rp Laki-laki Wiraswasta s/d Rp Perempuan Wiraswasta s/d Rp Perempuan Wiraswasta s/d Rp Perempuan Wiraswasta s/d Rp Perempuan Wiraswasta s/d Rp Perempuan Wiraswasta s/d Rp Perempuan Wiraswasta s/d Rp Perempuan Wiraswasta s/d Rp Perempuan Wiraswasta s/d Rp Perempuan Wiraswasta s/d Rp Perempuan Wiraswasta s/d Rp Perempuan Wiraswasta s/d Rp Laki-laki Wiraswasta s/d Rp
7 LAMPIRA 2
8 Lampiran 2 OUTPUT SPSS Frequency Table Laki-laki Perempuan Jenis kelamin Cumulativ e Frequency Percent Percent Percent Pekerjaan Mahasiswa/pelajar PS Pegawai swasta Wiraswasta Cumulativ e Frequency Percent Percent Percent s/d Rp > Rp s/d > Penghasilan per bulan Cumulativ e Frequency Percent Percent Percent Faktor keputusan pembelian Periklanan/advertising Sales promotion Personal selling Cumulativ e Frequency Percent Percent Percent
9 LAMPIRA 3
10 Lampiran 3 Uji validitas motivasi (X1) X1_1 X1_2 X1_3 X1_4 totalx1 X1_1 Pearson Correlation 1.360**.508**.287**.771** X1_2 Pearson Correlation.360** 1.379**.259**.691** X1_3 Pearson Correlation.508**.379** 1.245**.753** X1_4 Pearson Correlation.287**.259**.245** 1.627** totalx1 Pearson Correlation.771**.691**.753**.627** **. Correlation is signif icant at the lev el (2-tailed). Reliability Scale: ALL VARIABLES Cases Case Processing Summary Excluded a a. Listwise deletion based on all variables in the procedure. % 0.0 Reliability Statistics Cronbach's Alpha of Items.674 4
11 Uji validitas persepsi kualitas (X2) X2_1 X2_2 X2_3 X2_4 totalx2 X2_1 Pearson Correlation 1.404**.344**.293**.713** X2_2 Pearson Correlation.404** 1.197*.304**.692** X2_3 Pearson Correlation.344**.197* 1.356**.685** X2_4 Pearson Correlation.293**.304**.356** 1.701** totalx2 Pearson Correlation.713**.692**.685**.701** **. Correlation is signif icant at the lev el (2-tailed). *. Correlation is signif icant at the 0.05 lev el (2-tailed). Reliability Scale: ALL VARIABLES Cases Case Processing Summary Excluded a a. Listwise deletion based on all variables in the procedure. % 0.0 Reliability Statistics Cronbach's Alpha of Items.646 4
12 Uji validitas sikap (X3) X3_1 X3_2 X3_3 totalx3 X3_1 Pearson Correlation 1.318**.431**.766** X3_2 Pearson Correlation.318** 1.402**.743** X3_3 Pearson Correlation.431**.402** 1.793** totalx3 Pearson Correlation.766**.743**.793** **. Correlation is signif icant at the lev el (2-tailed). Reliability Scale: ALL VARIABLES Cases Case Processing Summary Excluded a a. Listwise deletion based on all variables in the procedure. % 0.0 Reliability Statistics Cronbach's Alpha of Items.651 3
13 Uji validitas keputusan pembelian (Y) Y1_1 Y1_2 Y1_3 totaly Y1_1 Pearson Correlation 1.380**.256**.718** Y1_2 Pearson Correlation.380** 1.507**.803** Y1_3 Pearson Correlation.256**.507** 1.777** totaly Pearson Correlation.718**.803**.777** **. Correlation is signif icant at the 0.01 lev el (2-tailed). Reliability Scale: ALL VARIABLES Cases Case Processing Summary Excluded a a. Listwise deletion based on all variables in the procedure. % 0.0 Reliability Statistics Cronbach's Alpha of Items.642 3
14 LAMPIRA 4
15 Lampiran 4 Hasil uji regresi Regression Model 1 Variables Entered/Removed b Variables Entered Sikap (X3), Persepsi kualitas (X2), Motiv asi (X1) a Variables Remov ed a. All requested v ariables entered. Method. Enter b. Dependent Variable: Keputusan pembelian (Y) Model 1 Model Summary Adjusted Std. Error of R R Square R Square the Estimate.651 a a. Predictors: (Constant), Sikap (X3), Persepsi kualitas (X2), Motiv asi (X1) Model 1 Regression Residual AOVA b Sum of Squares df Mean Square F Sig a a. Predictors: (Constant), Sikap (X3), Persepsi kualitas (X2), Motiv asi (X1) b. Dependent Variable: Keputusan pembelian (Y) Model 1 (Constant) Motivasi (X1) Persepsi kualitas (X2) Sikap (X3) Coefficients a Unstandardized Coeff icients a. Dependent Variable: Keputusan pembelian (Y) Standardized Coeff icients B Std. Error Beta t Sig
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
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.
ijcrb.webs.com INTERDISCIPLINARY JOURNAL OF CONTEMPORARY RESEARCH IN BUSINESS OCTOBER 2013 VOL 5, NO 6 Abstract 1. Introduction:
Impact of Management Information Systems to Improve Performance in Municipalities in North of Jordan Fawzi Hasan Altaany Management Information Systems Department, Faculty of Administrative Sciences, Irbid
Pearson s Correlation
Pearson s Correlation Correlation the degree to which two variables are associated (co-vary). Covariance may be either positive or negative. Its magnitude depends on the units of measurement. Assumes the
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)
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
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
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
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.
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
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,
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:
5. Correlation. Open HeightWeight.sav. Take a moment to review the data file.
5. Correlation Objectives Calculate correlations Calculate correlations for subgroups using split file Create scatterplots with lines of best fit for subgroups and multiple correlations Correlation The
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
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
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
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
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,
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
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
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,
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
Factor Analysis - SPSS
Factor Analysis - SPSS First Read Principal Components Analysis. The methods we have employed so far attempt to repackage all of the variance in the p variables into principal components. We may wish to
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
5. Linear Regression
5. Linear Regression Outline.................................................................... 2 Simple linear regression 3 Linear model............................................................. 4
WHAT TYPES OF ON-LINE TEACHING RESOURCES DO STUDENTS PREFER
WHAT TYPES OF ON-LINE TEACHING RESOURCES DO STUDENTS PREFER James R. Lackey PhD. Head of Computing and Information Services Faculty Support Center Oklahoma State University jlackey@okstate.edu This research
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
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
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
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
Evaluation Human Resourches Information System (HRIS) The University Of Bina Darma Using End User Computing Satisfaction (EUCS)
The 4th ICIBA 2015, International Conference on Information Technology and Engineering Application Palembang-Indonesia, 20-21 February 2015 Evaluation Human Resourches Information System (HRIS) The University
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
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,
Predictability Study of ISIP Reading and STAAR Reading: Prediction Bands. March 2014
Predictability Study of ISIP Reading and STAAR Reading: Prediction Bands March 2014 Chalie Patarapichayatham 1, Ph.D. William Fahle 2, Ph.D. Tracey R. Roden 3, M.Ed. 1 Research Assistant Professor in the
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
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
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
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
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
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
Performance appraisal politics and employee turnover intention
Performance appraisal politics and employee turnover intention Rusli Ahmad Camelia Lemba Faculty of Cognitive Sciences and Human Development Universiti Malaysia Sarawak arusli@fcs.unimas.my Wan Khairuzzaman
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
SPSS Resources. 1. See website (readings) for SPSS tutorial & Stats handout
Analyzing Data SPSS Resources 1. See website (readings) for SPSS tutorial & Stats handout Don t have your own copy of SPSS? 1. Use the libraries to analyze your data 2. Download a trial version of SPSS
Data Mining and Data Warehousing. Henryk Maciejewski. Data Mining Predictive modelling: regression
Data Mining and Data Warehousing Henryk Maciejewski Data Mining Predictive modelling: regression Algorithms for Predictive Modelling Contents Regression Classification Auxiliary topics: Estimation of prediction
IMPACT AND SIGNIFICANCE OF TRANSPORTATION AND SOCIO ECONOMIC FACTORS ON STUDENTS CLASS ATTENDANCE IN NIGERIA POLYTECHNICS: A
IMPACT AND SIGNIFICANCE OF TRANSPORTATION AND SOCIO ECONOMIC FACTORS ON STUDENTS CLASS ATTENDANCE IN NIGERIA POLYTECHNICS: A Study of Moshood Abiola Polytechnic 1 Mabosanyinje A. 2 Sulaimon M. O. 3 Adewunmi
Assessing the Impact of Knowledge Management Practices on Organizational Learning and Performance: A Study of Govt. Medical College Jammu
International Journal of Management and International Business Studies. ISSN 2277-3177 Volume 4, Number 1 (2014), pp. 101-108 Research India Publications http://www.ripublication.com Assessing the Impact
Moderation. Moderation
Stats - Moderation Moderation A moderator is a variable that specifies conditions under which a given predictor is related to an outcome. The moderator explains when a DV and IV are related. Moderation
Comparing a Multiple Regression Model Across Groups
Comparing a Multiple Regression Across Groups We might want to know whether a particular set of predictors leads to a multiple regression model that works equally effectively for two (or more) different
Impact of Firm Specific Factors on the Stock Prices: A Case Study on Listed Manufacturing Companies in Colombo Stock Exchange.
Impact of Firm Specific Factors on the Stock Prices: A Case Study on Listed Manufacturing Companies in Colombo Stock Exchange. Abstract: Ms. Sujeewa Kodithuwakku Department of Business Finance, Faculty
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,
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
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
E-Management and its effect on the Added Value: field Study in The Royal Jordanian Airlines
E-Management and its effect on the Added Value: field Study in The Royal Jordanian Airlines ABSTRACT Dr. Nazem M.M. Al-ahmad Malkawi Associate Prof., Chair of Management Information Systems Department,
Directions for using SPSS
Directions for using SPSS Table of Contents Connecting and Working with Files 1. Accessing SPSS... 2 2. Transferring Files to N:\drive or your computer... 3 3. Importing Data from Another File Format...
MISSING DATA TECHNIQUES WITH SAS. IDRE Statistical Consulting Group
MISSING DATA TECHNIQUES WITH SAS IDRE Statistical Consulting Group ROAD MAP FOR TODAY To discuss: 1. Commonly used techniques for handling missing data, focusing on multiple imputation 2. Issues that could
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
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
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) -
Data Mining for Model Creation. Presentation by Paul Below, EDS 2500 NE Plunkett Lane Poulsbo, WA USA 98370 paul.below@eds.
Sept 03-23-05 22 2005 Data Mining for Model Creation Presentation by Paul Below, EDS 2500 NE Plunkett Lane Poulsbo, WA USA 98370 paul.below@eds.com page 1 Agenda Data Mining and Estimating Model Creation
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
Asian Journal of Business and Management Sciences ISSN: 2047-2528 Vol. 2 No. 2 [51-63]
![Asian Journal of Business and Management Sciences ISSN: 2047-2528 Vol. 2 No. 2 [51-63]](/thumbs/29/13245996.jpg "Asian Journal of Business and Management Sciences ISSN: 2047-2528 Vol. 2 No. 2 [51-63]")
DETERMINANTS OF CAPITAL STRUCTURE: (A Case Study of Machinery & Equipment Sector of Islamic Republic of Iran) Dr. Abdolmahdi Ansari Faculty of administrative Sciences and Economics, Department of Accounting,
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
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 Not-Even-Remotely Close to Being a Complete Guide to SPSS / PASW Syntax. (For SPSS / PASW v.18+)
The Not-Even-Remotely Close to Being a Complete Guide to SPSS / PASW Syntax (For SPSS / PASW v.18+) Dr. Bryan R. Burnham Department of Psychology University of Scranton 1 of 49 Table of Contents 1. What
Investigating The Link Between Human Resource Information Systems And Strategic Human Resources Planning Field Study In The Jordanian Mobile Companies
Investigating The Link Between Human Resource Information Systems And Strategic Human Resources Planning Field Study In The Jordanian Mobile Companies Hanadi Al-Zegaier* Human resource information systems
Binary Logistic Regression
Binary Logistic Regression Main Effects Model Logistic regression will accept quantitative, binary or categorical predictors and will code the latter two in various ways. Here s a simple model including
IMPACT OF EMPLOYEE MOTIVATION ON CUSTOMER SATISFACTION: STUDY OF AIRLINE INDUSTRY IN PAKISTAN
IMPACT OF EMPLOYEE MOTIVATION ON CUSTOMER SATISFACTION: STUDY OF AIRLINE INDUSTRY IN PAKISTAN Muhammad Bilal Ahmad* Student of M.Phil Institute of Business Management (IoBM), Karachi Ejaz Wasay Sr. Fellow
A Brief Introduction to SPSS Factor Analysis
A Brief Introduction to SPSS Factor Analysis SPSS has a procedure that conducts exploratory factor analysis. Before launching into a step by step example of how to use this procedure, it is recommended
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*
JD Eveland PhD. Presented to TUI University Faculty Research Forum. 30 November 2007
JD Eveland PhD Presented to TUI University Faculty Research Forum 30 November 2007 A follow-up to the CARMA presentation by Dr. James LeBreton on Relative Importance of Predictors with Regression Models
Week TSX Index 1 8480 2 8470 3 8475 4 8510 5 8500 6 8480
1) The S & P/TSX Composite Index is based on common stock prices of a group of Canadian stocks. The weekly close level of the TSX for 6 weeks are shown: Week TSX Index 1 8480 2 8470 3 8475 4 8510 5 8500
ALCOHOL CONSUMPTION AMONG HOSPITALITY AND NONHOSPITALITY MAJORS: IS IT AN ISSUE OF PERSONALITY
ALCOHOL CONSUMPTION AMONG HOSPITALITY AND NONHOSPITALITY MAJORS: IS IT AN ISSUE OF PERSONALITY Keywords: Alcohol consumption, hospitality students, personality, extroversion, conscientiousness, neuroticism
Research Article 2013. Online marketing is increasing in all social dimensions as the number of internet service users increase in geometric
Developing Markets Through Social Networking Sites: An Inquiry of Online Marketing in Developing Countries (A Study in Indian Markets ) *Dr. Rajiv Sikroria, ** Dr. Vandana Srivastava *Assistant Professor,
Coni Francis, PhD, RD Nutrition and Dietetics Program University of Northern Colorado
Coni Francis, PhD, RD Nutrition and Dietetics Program University of Northern Colorado University of Northern Colorado Nutrition and Dietetics Program Alena Clark, PhD, MPH, RD Jamie Erskine, PhD, RD Albion
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
THE IMPACT OF FINANCIAL LITERACY ON RETIREMENT PLANNING AND HOUSEHOLD WEALTH
Indian Journal of Fundamental and Applied Life Sciences ISSN: 223 6345 (Online) An Open Access, Online International Journal Available at www.cibtech.org/sp.ed/jls/205/0/jls.htm 205 Vol.5 (S), pp. 806-85/Nejati
Scholars Journal of Economics, Business and Management e-issn 2348-5302
Scholars Journal of Economics, Business and Management e-issn 2348-5302 Chandoriya KR.; Sch J Econ Bus Manag, 2014; 1(3):93-97 p-issn 2348-8875 SAS Publishers (Scholars Academic and Scientific Publishers)
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
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.)
Statistical Control using Partial and Semi-partial (Part) Correlations
Statistical Control using Partial and Semi-partial (Part) A study of performance in graduate school produced the following correlations. 1st year graduate gpa -- criterion variable undergraduate gpa full
Coefficient of Determination
Coefficient of Determination The coefficient of determination R 2 (or sometimes r 2 ) is another measure of how well the least squares equation ŷ = b 0 + b 1 x performs as a predictor of y. R 2 is computed
Asian Economic and Financial Review AN EXAMINATION OF THE FACTORS THAT DETERMINE THE PROFITABILITY OF THE NIGERIAN BEER BREWERY FIRMS
Asian Economic and Financial Review journal homepage:http://aessweb.com/journal-detail.php?id=5002 AN EXAMINATION OF THE FACTORS THAT DETERMINE THE PROFITABILITY OF THE NIGERIAN BEER BREWERY FIRMS Okwo
Working Capital Management and Profitability: A Study on Textiles Industry
ASA University Review, Vol. 5 No. 1, January June, 2011 Working Capital Management and Profitability: A Study on Textiles Mohammad Morshedur Rahman * Abstract Textiles plays a vital role in the socio-economic
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
EDUCATION AND VOCABULARY MULTIPLE REGRESSION IN ACTION
EDUCATION AND VOCABULARY MULTIPLE REGRESSION IN ACTION EDUCATION AND VOCABULARY 5-10 hours of input weekly is enough to pick up a new language (Schiff & Myers, 1988). Dutch children spend 5.5 hours/day
The Impact of Training and Development on Employees Performance and Productivity A case study of United Bank Limited Peshawar City, KPK, Pakistan
The Impact of Training and Development on Employees Performance and Productivity A case study of United Bank Limited Peshawar City, KPK, Pakistan Neelam Tahir MS Management Sciences Research Scholar at
The Relationship Between Working Capital Management and Profitability of Companies Listed on the Johannesburg Stock Exchange
Journal of Modern Accounting and Auditing, ISSN 1548-6583 August 212, Vol. 8, No. 8, 124-1213 D DAVID PUBLISHING The Relationship Between Working Capital Management and Profitability of Companies Listed
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
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)
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
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
Impact of E-Commerce on Organization Performance: Evidence from Banking Sector of Pakistan
International Journal of Economics and Finance; Vol. 7, No. 2; 2015 ISSN 1916-971X E-ISSN 1916-9728 Published by Canadian Center of Science and Education Impact of E-Commerce on Organization Performance:
Two Related Samples t Test
Two Related Samples t Test In this example 1 students saw five pictures of attractive people and five pictures of unattractive people. For each picture, the students rated the friendliness of the person
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
Surveying the Relationship Between Relationship Marketing and Customer Loyalty Case Study: Pasargad Bank in Mazandaran province
71 Surveying the Relationship Between Relationship Marketing and Customer Loyalty Case Study: Pasargad Bank in Mazandaran province Seyyedeh Mohaddeseh Seyyednejad, Department of Management, Germi Branch,
The Effect of Human Resource Management Practices on Organization's Performance
Middle-East Journal of Scientific Research 16 (11): 1548-1556, 2013 ISSN 1990-9233 IDOSI Publications, 2013 DOI: 10.5829/idosi.mejsr.2013.16.11.12077 The Effect of Human Resource Management Practices on
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
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
CHAPTER 4: Trends of Online Marketing As Adopted By Indian Railways
CHAPTER 4: Trends of Online Marketing As Adopted By Indian 4.1 Introduction In today s competitive environment of 21 st century, it has become necessity for Indian to bring changes in offering different
Journal of Asian Business Strategy. Interior Design and its Impact on of Employees' Productivity in Telecom Sector, Pakistan
. Journal of Asian Business Strategy journal homepage: http://aessweb.com/journal-detail.php?id=5006 Interior Design and its Impact on of Employees' Productivity in Telecom Sector, Pakistan Naeem Akhtar