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Words 2304

Pages 10

Advanced Market Analysis and Strategy - MAR 6087

SPSS Analysis

PulteGroup, Inc. – South Florida Division

By: Scott Mairn and Irina Prell

November 30, 2012

Table of Contents

I. Executive Summary

II. Company Overview

III. Research Objectives/Approach

IV. Sampling Description

V. Data Analysis and Interpretation

VI. Implications

VII. Conclusion and Future Direction

Executive Summary

This report will take a look the results from the Servqual survey research conducted for the PulteGroup, Inc. South Florida Division to analyze their service in September of 2012.

The objective of this research is to assess how the 5 factors of the Servqual survey affect the homeowners’ attitude towards service in PulteGroup communities. Each homeowner was asked questions consistent with the intentional model of Servqual instruments which are designed to measure reliability, responsiveness, assurance, apathy, and tangibles of a service.

SPSS software by IBM was used to analyze the results. The following methodologies were utilized:

• Attitudinal Scores

• Heavy Half Theory

• T-test

• Factor Analysis

• Multiple Regression Analysis

The third party management companies employed by PulteGroup in two communities, VillageWalk of Bonita Springs and VeronaWalk of Naples, delivered the survey to homeowners. We received 34 fully completed surveys, which were fully analyzed.

The results showed a wide range in attitude with scores ranging from 125 to 725. The heavy half segmentation was broad with 47% scoring above 600. The T-Test performed showed “Assurance” had the largest impact on the overall results in the heavy half segment. A factor analysis was done to take 22 variables and breaking them down into 5 variables. Assurance and responsiveness of staff showed the largest driver for PulteGroup and will provide a focus for improving their…...

... the Organize output by groups radio button and move Group into the Groups based on… window and then click OK. The |[pic] | |Figure 3 | |[pic] | |Figure 4 | data file is now split by groups. Any subsequent analysis will be performed separately for each group. Go back to Analyze > Destructives and click on Frequencies again. Move Score into the Variables window and click on Statistics and select Mean, Median, Standard Deviation, and S.E. Mean; and then click Continue (see Figure 6), which takes you back to the Frequencies window. Click OK. The Frequencies procedure runs and SPSS produces the output shown following the next page. For each group, you are given the number of valid scores (N Valid), the number of missing scores (N Missing) the Mean, Std Error of the Mean, Median, and Standard Deviation. A minimal APA-style table of descriptive statistics would look something like the following: |Ns, Menas, and Standard Deviations | | |N |Mean |Std. Dev. | |Group 1 |5 |4.60 | .894 | |Group 2 |5 |3.80 |1.095 | |Group 3 |5...

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...EMBA Advanced Market Analysis and Strategy - MAR 6087 SPSS Analysis PulteGroup, Inc. – South Florida Division By: Scott Mairn and Irina Prell November 30, 2012 Table of Contents I. Executive Summary II. Company Overview III. Research Objectives/Approach IV. Sampling Description V. Data Analysis and Interpretation VI. Implications VII. Conclusion and Future Direction Executive Summary This report will take a look the results from the Servqual survey research conducted for the PulteGroup, Inc. South Florida Division to analyze their service in September of 2012. The objective of this research is to assess how the 5 factors of the Servqual survey affect the homeowners’ attitude towards service in PulteGroup communities. Each homeowner was asked questions consistent with the intentional model of Servqual instruments which are designed to measure reliability, responsiveness, assurance, apathy, and tangibles of a service. SPSS software by IBM was used to analyze the results. The following methodologies were utilized: • Attitudinal Scores • Heavy Half Theory • T-test • Factor Analysis • Multiple Regression Analysis The third party management companies employed by PulteGroup in two communities, VillageWalk of Bonita Springs and VeronaWalk of Naples, delivered the survey to homeowners. We received 34 fully completed surveys, which were fully analyzed. The results showed a wide range in attitude with scores ranging from 125 to 725...

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...? _________________________________ c. What is the median beginning salary for white females with 16 years of education? _____________ d. What is the median beginning salary for minority males with 16 years of education? ____________ Note: Questions 3, 4, and 5 below do not involve SPSS. You will need to consult the “Table of Areas Under the Normal Curve” handout. 3. Assume grades on an exam are normally distributed with a mean of 70 and standard deviation of 8. a. What would be the z-score for a student who received 64 on this exam? ______________________ b. How many standard deviations away from the mean is this score? ________________________ c. What would be the z-score for a student who received 81 on this exam? ______________________ d. How many standard deviations away from the mean is this score? ________________________ e. What percentage of students scored less than 64 on this exam? ________________________ f. What percentage of students scored greater than 81 on this exam? ________________________ g. What percentage of students scored between 64 and 81 on this exam? ________________________ h. What percentage of students scored less than 70 on this exam? ________________________ i. What percentage of students scored greater than 70 on this exam? ________________________ j. What percentage of students scored between 60 and 80 on this exam? ________________________ 4. Jane works for the Bureau of Forms. Her manager has reprimanded Jane because he feels that......

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...Introduction to SPSS INTRODUCTION TO SPSS Dr. Sarimah binti Abdullah. M.D(USM) MCommMed.(Epid & Biostat) (USM) • SPSS environment • Describe the menu options & toolbars Unit of Biostatistics & Research Methodology Universiti Sains Malaysia SPSS Environment • Data editor – Data view – Variable view • Viewer - output • Pivot table editor • Chart editor • Text output editor • Syntax editor • Script editor Data editor - Data view - Variable view Viewer – output – Display all statistical result • Tables • Charts – Allow to edit – Save – Access to • pivot table editor • Text output editor • Chart editor • Move between SPSS and other application Viewer - output Pivot table editor 1 Chart editor • Edit – – – – – Colour Font Axes Rotation Chart type ENTER VARIABLES ENTER VARIABLES ENTER VARIABLES ENTER DATA 2 ENTER DATA SAVE EDIT VIEW SELECT CASES 1 3 2 6 4 5 7 3 TRANSFORM : Compute ALL CASES DELETE BMI = wt(kg)/ht(m)2 TRANSFORM : Recode BMI Categorize TRANSFORM : Recode BMI_gp : 1. Underweight =23 BMI_gp 1. Underweight 2. Normal 3. Overweight 1 DESCRIPTIVE STATISTICS 6th basic data 2 2 3 9 4 6 8 5 7 4 OUTPUT Statistics N Valid Missing gender 10 0 race 10 0 gender Frequency 5 5 10 Percent 50.0 50.0 100.0 race Frequency 6 3 1 10 Percent 60.0 30.0 10.0 100.0 Valid Percent 60.0 30.0 10.0 100.0 Cumulative Percent 60.0 90.0 100.0 IHD 10 0 BMI_gp...

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...(CIB pdf formfields Demoversion) BASIC ANALYSIS: A GUIDE FOR STUDENTS AND RESEARCHERS ASSOCIATE PROFESSOR DR ERNEST CYRIL DE RUN DR LO MAY CHIUN HERIYADI KUSNARYADI BASIC ANALYSIS: A GUIDE FOR STUDENTS AND RESEARCHERS 1 (CIB pdf formfields Demoversion) PREAMBLE This book was originally written as notes for my students of EBQ2053 Research Methodology at Universiti Malaysia Sarawak. Nevertheless, as we looked through it and with the various courses and seminars that we have given, we began to realize that what was being said was universal for all researchers, either those just starting out at 2nd year university of seasoned well published researchers. We all need to know the basics. Nevertheless, at the same time, even seasoned researchers tend to forget some methods that they do not always use. Therefore the idea for this book, as a handout for students yet at the same time a quick guide and reference for the seasoned researcher. Please note that we are using SPSS v15 and AMOS v4. May it be of help to all who strive to better themselves. This book is dedicated to or my darling wife, Doren, and my dearest son, Walter. Associate Professor Dr Ernest Cyril de Run 16 November 2007 BASIC ANALYSIS: A GUIDE FOR STUDENTS AND RESEARCHERS 2 (CIB pdf formfields Demoversion) 1. What is SPSS? SPSS refers to computer software named Statistical Program for Social Sciences and it comes in various versions and adds on. It is software and not a method of analysis...

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...Interpretation of SPSS output for Car Care Inc. Jacquelynn Patterson Liberty University Online Professor Lingley Busi 331-B01 October 7, 2013 1.0 Introduction Statistics in social sciences are an important aspect in making the understanding of social behaviors plausible in organizations, governments, marketers and other cohorts with same interest. Initially, statistical manipulations were conducted manually and obliged researchers to have formulas at their fingertips. This strenuous exercise was susceptible to shortcomings in case large volumes of data were to be analyzed. In addition, manual calculations depend on human nature that is vulnerable to ill health, emotional exhaustion and fatigue. As a result, there are many chances of making errors when dealing with manual calculations. This would finally affect the end results obtained. The above mentioned problems are likely to be amplified especially when dealing with a huge number of research subjects. If this is the case, it implies that marketing research data analysis would be the most vulnerable if manual statistical manipulations were embraced. This is because marketing research depends heavily on many respondents in order for the results to valid and reliable for making inferences to the whole population. Inevitably, marketers are bludgeoned into using statistical software that can handle large volumes of cases in a single command. This does not only...

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...Abstract Purpose: The aim of this assignment is to test some of the main questions that were raised regarding to customers satisfaction about the services that they received from X Bank. Methodology: in order to test those questions and to measure customers’ satisfaction, we used SPSS program, which is the most compatible program for social science tests. So, our analyses were focused by using SPSS tools like: Descriptive statistics and Frequencies likewise cross tabulation and chi-square, also independent test and finally correlation. Findings: Throughout our analyses we were able to find some interesting results regarding to customers opinion for banks services and quality, for instance: There is statistical significant difference when it comes to gender loyalty to the bank, after the chi-square is less than 0.05, also it was clear that there is no correlation between age and perceptions of overall services 0.466. In addition, via our analyses there is a strong correlation between perceptions about service quality and co-operating with the bank in the future 0.867 at the 0.01 level. Table of Contents Introduction ……………………………………………………………………………… 3 Data analyses …………………………………………………………………………….. 4 Conclusion ………………………………………………………………………………. 14 Introduction Nowadays, being able to measure customers’ satisfaction is the main point to develop and sustain business. Organizations which are able to fulfil customers’ needs and wants they achieve to spread their...

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...Factor Analysis Steps…. In order to get the results of factor analysis, you need to handle with main following steps: 1. Open Data File: (.sav file)—SPSS data file. 2. Click on Analyze ( Data Reduction ( Factor ( Select the (items) variables from the panel and move it to the right panel in the “Variable box”. (See Figure 1.1) [pic] 3. Click on Descriptive ( Check: (See Figure 1. 2) ✓ Initial Solution ✓ KMO & Bartletts ✓ Anti-image ( Continue [pic] 4. Click on Extraction and then [Methods: Select “Principle components”]( Check: (See Figure 1.2) ✓ Correlation Matrix ✓ Unrotated factor solution ✓ Number of factor “type 1 in the box” ✓ Scree plot (optional) ( Continue 5. Click on Rotation ( Check: (See Figure 1. 3) a. VARIMAX b. Rotated Solution c. Max Iteration 25 ( Continue 6. Click on Options( Check “Sorted by size” (See Figure 1.3) ( Continue ( OK [pic] Evaluation Criteria of Factor Analysis ✓ KMO > 0.5 ✓ FL > 0.6 ✓ Eigen value > 1 ✓ Explained Variance—“Cumulative” > 60% ✓ Communality > 0.5 *****Warning, you will never delete more than one variable at the same time***** Reliability Analysis Steps… After you have done with factor analysis steps, rest of formal items will be using to get the results of reliability stage. Please follow the main instructions: 1. Click......

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...This final paper project is based on the data calculated using SPSS software. SPSS is the software that can give confidence predictive results of what will happen next so we can make smarter decision, solve problems and improve outcomes. For this project, I am going to use SPSS as my analyzing tool to predict and analysis the data by using several model of calculation. The database I choose is the Employee Attitudes data provided under course material. This is my interested field and I am going to use SPSS to make a prediction. Data Source: EmployeeAttitudesStudents.sav from course material. This database contains information collected in a survey of nearly 1,000 employees of Seminole County Government, Florida. Questions regarding working conditions, compensation, quality of management, etc were asked. Variables in this file are all categorical (mostly ordinal, with a couple of nominal) so they would be appropriate from multiple regression analysis. Statement of Problem According to the research material I found online, Salary Basics - Developing a Strong Compensation Philosophy, good payment attract and retain employees for the company. In order to analysis this situation, I choose two variables as my main factor. The first one is the question "I am paid as well as other organizations with similar jobs", and the second question is "Years worked for Seminole Country Government". So here H0 null hypothesis is that Pay rate compared with other company does not affect...

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...CLEVELAND STATE UNIVERSITY SCHOOL OF SOCIAL WORK ------------------------------------------------- POLICY BRIEF VETERAN TREATMENT COURT SHOULD BE EXPANDED TO THE COMMON PLEAS COURT OF CUYAHOGA COUNTY TONY D. MORRIS PREPARED FOR: Honorable John J. Russo Administrative and Presiding Judge Cuyahoga County Common Pleas Court July 1, 2014 SWK 300: SOCIAL WELFARE POLICY PROFESSOR MICHAEL A. DOVER SPRING 2014 GOAL STATEMENT The sole purpose of this policy brief is to deliver concrete and measurement evidences that Veteran Treatment Courts (VTC) promotes public safety by diverting veterans with addictions and/or mental illness into a voluntary specialized court as oppose to the traditional criminal justice system. At present the Cleveland Veteran Treatment docket is only available to veterans that reside in the City of Cleveland. By expanded the court to Cuyahoga County Common Pleas Court, veterans would have access to the resources available, especially at the county level. There are 38 cities and 19 villages in Cuyahoga County. According to the United States Census Bureau and there are 90,753 veterans residing in Cuyahoga County and increasing as service members from Operation Enduring Freedom, Operation Iraqi Freedom & Operation New Dawn (OEF,OIF,OND) begin to return and reintegrate back to civilian life. The VTC has proven to be smart, cost effective ventures that assist veterans on the road to recovery, effectively and successfully reducing...

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...UQ Business School MKTG7510 Market and Consumer Research Introduction to SPSS Course Coordinator: Dr Ravi Pappu Introduction to SPSS This is a brief on how to use SPSS. The purpose of this chapter is to introduce you to SPSS. You are encouraged to actively access the interactive help of SPSS and ask your tutor questions if you get lost. You are expected to spend time outside of class (i) familiarising yourself with SPSS and (ii) completing the homework exercises to complete the Assignment 2 (Research Report) for assessment (20% of your MKTG7510 Grade). SPSS is accessible in all computer labs in Building 39A and 35. Please check current times of access to the computer labs and plan your study time accordingly. 1. How to create a new project? (1) Click on the ‘Start’ menu. Click on ‘All Programs’. (2) You will find the folder ‘Data Analysis and Stats Programs’ - click it to open the folder. (3) Click on the ‘IBM SPSS statistics’ folder. Click on the ‘IBM SPSS Statistics’ icon. (4) Once SPSS is open, the screen (see Fig. 1) asks you what you would like to do: either type in the data manually, or find an existing data file (as circled below). Figure 1: Create a New Project MKTG7510 Market and Consumer Research S1-2014 P. 1/20 2. What are the main components of an SPSS ‘project’? When you open a new ‘project’ you will see the Data Editor window where the raw data are visible. However, there are multiple windows that allow you to interact with the...

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...Now you have some basic understanding of SPSS, it is time to explore the program is more detail by doing some exercises. If you use the computer, all you need to know are the right commands. Since the questions below involve inferences about population means, the number of commands you will use is rather limited (Analyze > Compare Means). The real challenge of these questions is therefore not so much in the statistics involved (which mainly pertain to Chapters 12 and 13), but to be able to define the problem, identify which statistical method is most appropriate, and to interpret the results. 1) Suppose that, in a large state university (with numerous campuses), the marks in an introductory statistics course are normally distributed with a mean of 68. To determine the effect of requiring students to pass a calculus test (which at present is not a prerequisite), a random sample of 50 students who have taken calculus is given a statistics course. The marks out of 100 were recorded. a. Estimate with 95% confidence the mean statistics mark for all students that have taken calculus. b. Do these data provide evidence to infer that students with a calculus background would perform better in statistics than students with no calculus. 2) The owner of a downtown parking lot suspects that the person he hired to run the lot is stealing some money. The receipts as provided by the employee indicate that the average number of cars parked in the lot is 125 per day...

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...Assignment 1 The aim of this assignment is for you to practise using SPSS to analyse data. You should attempt each of the questions detailed on the following pages using the SPSS Survival Manual as your guide. You will need to have read through the SPSS Survival Manual first to familiarise yourself with its contents and to revise the various statistical procedures covered. You will be asked to interpret some output generated by SPSS. For a number of the questions in this exercise you are required to report the results of analyses performed on the data file. These should be formatted as you would present them in a research report. Full details should be provided concerning the analyses performed, assumptions that were checked, and the results obtained. The more practice you get with this process, the easier it will be for you to write up the results of your analyses. Details on how to structure a report are available on AUTonline. Part A 1. A market researcher is interested in the coffee drinking habits of males and females. He asks a sample of male and female office workers to record the number of cups of coffee they consume during a week. (a) Which parametric statistical technique could the researcher use to determine if males and females differ in terms of the number of cups of coffee consumed in a week? Justify your answer and describe how you would obtain this statistic using SPSS. Independent-samples t-tests (b) What are the key values you would......

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...Table 1.1. frequency of id id | | Frequency | Percent | Valid Percent | Cumulative Percent | Valid | 1 | 1 | 1.0 | 1.0 | 1.0 | | 2 | 1 | 1.0 | 1.0 | 2.0 | | 3 | 1 | 1.0 | 1.0 | 3.0 | | 4 | 1 | 1.0 | 1.0 | 4.0 | | 5 | 1 | 1.0 | 1.0 | 5.0 | | 6 | 1 | 1.0 | 1.0 | 6.0 | | 7 | 1 | 1.0 | 1.0 | 7.0 | | 8 | 1 | 1.0 | 1.0 | 8.0 | | 9 | 1 | 1.0 | 1.0 | 9.0 | | 10 | 1 | 1.0 | 1.0 | 10.0 | | 11 | 1 | 1.0 | 1.0 | 11.0 | | 12 | 1 | 1.0 | 1.0 | 12.0 | | 13 | 1 | 1.0 | 1.0 | 13.0 | | 14 | 1 | 1.0 | 1.0 | 14.0 | | 15 | 1 | 1.0 | 1.0 | 15.0 | | 16 | 1 | 1.0 | 1.0 | 16.0 | | 17 | 1 | 1.0 | 1.0 | 17.0 | | 18 | 1 | 1.0 | 1.0 | 18.0 | | 19 | 1 | 1.0 | 1.0 | 19.0 | | 20 | 1 | 1.0 | 1.0 | 20.0 | | 21 | 1 | 1.0 | 1.0 | 21.0 | | 22 | 1 | 1.0 | 1.0 | 22.0 | | 23 | 1 | 1.0 | 1.0 | 23.0 | | 24 | 1 | 1.0 | 1.0 | 24.0 | | 25 | 1 | 1.0 | 1.0 | 25.0 | | 26 | 1 | 1.0 | 1.0 | 26.0 | | 27 | 1 | 1.0 | 1.0 | 27.0 | | 28 | 1 | 1.0 | 1.0 | 28.0 | | 29 | 1 | 1.0 | 1.0 | 29.0 | | 30 | 1 | 1.0 | 1.0 | 30.0 | | 31 | 1 | 1.0 | 1.0 | 31.0 | | 32 | 1 | 1.0 | 1.0 | 32.0 | | 33 | 1 | 1.0 | 1.0 | 33.0 | | 34 | 1 | 1.0 | 1.0 | 34.0 | | 35 | 1 | 1.0 | 1.0 | 35.0 | | 36 | 1 | 1.0 | 1.0 | 36.0 | | 37 | 1 | 1.0 | 1.0 | 37.0 | | 38 | 1 | 1.0 | 1.0 | 38.0 | | 39 | 1 | 1.0 | 1.0 | 39.0 | | 40 | 1 | 1.0 | 1.0 | 40.0 | | 41 | 1 | 1.0 | 1.0 | 41.0 | | 42 | 1 | 1.0 | 1.0 | 42.0 | | 43 | 1 | 1.0 | 1.0...

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...SPSS Statistical Package for the Social Sciences (SPSS) is a quantitative analysis software. It is a great tool for quantitative data. It can handle complex data manipulations and analyses. SPSS is among the most widely used programs for statistical analysis in social science. SPSS is the software for the numerical analysis. SPSS was acquired by IBM in 2009 for $1.2 billion. SPSS is a great for predictive analysis to help your organization anticipate change so that you can plan and carry out strategies that improve outcomes. Predictive analysis has come of age as a core enterprise practice necessary to sustain competitive advantage. By applying predictive analytics solutions to data you already have, your organization can uncover unexpected patterns and associations and develop models to guide front-line interactions. This means you can prevent high-value customers from leaving, sell additional services to current customers, develop successful products more efficiently, or identify and minimize fraud and risk. Predictive analytics gives you the knowledge to predict…and the power to act. Enterprise data is a priceless strategic asset because it represents the aggregate experience of an organization, the very history of its interactions with customers. Each customer response (or lack thereof), purchase decision, acquisition, outright defection, act of fraud, credit default, and complaint of a faulty product component provides the enterprise experience from which to...

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