What Is the Best Response Scale for Survey and Questionnaire Design; Review of Different Lengths of Rating Scale / Attitude Scale / Likert Scale Hamed Taherdoost
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Chapter 4 Research Methodology
The impact of E-marketing practices on market performance of small business enterprises. An empirical investigation. Item Type Thesis Authors El-Gohary, Hatem O.A.S. Rights <a rel="license" href="http://creativecommons.org/licenses/ by-nc-nd/3.0/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by- nc-nd/3.0/88x31.png" /></a><br />The University of Bradford theses are licenced under a <a rel="license" href="http:// creativecommons.org/licenses/by-nc-nd/3.0/">Creative Commons Licence</a>. Download date 26/09/2021 11:58:39 Link to Item http://hdl.handle.net/10454/4308 Chapter 4 Research Methodology 4.1 Introduction:- This chapter discusses the methodology used to conduct the research study as well as the issues related to the chosen research methodology when investigating the different factors affecting the adoption of E-Marketing by industrial and trading UK SBEs, the different forms, tools and levels of implementation of E-Marketing by these enterprises as well as the relationship between E-Marketing adoption and marketing performance of these SBEs. Through this discussion the steps that were taken to address the research design, the data collection and analysis methods used to conduct the research study will be illustrated. These issues are addressed in light of the basic research objectives and the relevant research questions discussed in chapter one and the research framework discussed in chapter seven. Firstly it discusses some possible research designs and methodologies and provides a brief review of the literature of research methodologies, research strategies and research methods implemented in the fields of E-Marketing and SBEs. -
Those Missing Values in Questionnaires
Those Missing Values in Questionnaires John R. Gerlach, Maxim Group, Plymouth Meeting, PA Cindy Garra, IMS HEALTH; Plymouth Meeting, PA Abstract alternative values are not bona fide SAS missing values; consequently, a SAS procedure, expectedly, will include Questionnaires are notorious for containing these alternative values, thereby producing bogus results. responses that later become missing values during processing and analyses. Contrary to a non-response that Typically, you can re-code the original data, so results in a typical, bona fide, missing value, questions that the missing values become ordinary missing values, might allow several alternative responses, necessarily thus allowing SAS to process only appropriate values. Of outside the usual range of appropriate responses. course, there's a loss of information since the original Whether a question represents continuous or categorical missing values did not constitute a non-response. Also, data, a good questionnaire offers meaningful alternatives, such pre-processing might include a myriad of IF THEN / such as: "Refused to Answer" and, of course, the ELSE statements, which can be very tedious and time- quintessential "Don't Know." Traditionally, these consuming to write, and difficult to maintain. Thus, given alternative responses have numeric values such as 97, a questionnaire that has over a hundred variables with 998, or 9999 and, therefore, pose problems when trying varying levels of missing values, the task of re-coding to distinguish them from normal responses, especially these variables becomes very time consuming at best. when multiple missing values exist. This paper discusses Even worse, the permanent re-coding of alternative missing values in SAS and techniques that facilitate the responses to ordinary missing numeric values in SAS process of dealing with multi-valued, meaningful missing precludes categorical analysis that requires the inclusion values often found in questionnaires. -
Quantifying Anomia: Development of a Scale
ABSTRACT QUANTIFYING ANOMIA: DEVELOPMENT OF A SCALE Anomie refers to a weakening of cultural values and social norms. One interpretation is that anomie exists because of moral deregulation when normative rules begin deteriorating, while another suggests that it is a product of insufficient means to reach goals, forcing individuals to seek deviant modalities and paths (Agnew, 1980). While multiple scales have been developed in an attempt to measure the construct, the purpose of this study was to build upon and combine scales from 1956 to 2011 to produce an instrument that quantifies anomie/anomia using factor analyses. Four scales of anomia were compiled and administered to 416 Fresno State undergraduate students. The findings suggest that the final anomia scale has good internal consistency and correlates with materialism, happiness, and social desirability. However, no expected significant differences were found across gender, age, income, marital status, and race/ethnicity. Anthony Yang August 2015 QUANTIFYING ANOMIA: DEVELOPMENT OF A SCALE by Anthony Yang A thesis submitted in partial fulfillment of the requirements for the degree of Master of Arts in Psychology in the College of Science and Mathematics California State University, Fresno August 2015 APPROVED For the Department of Psychology: We, the undersigned, certify that the thesis of the following student meets the required standards of scholarship, format, and style of the university and the student's graduate degree program for the awarding of the master's degree. Anthony Yang Thesis Author Robert Levine (Chair) Psychology Constance Jones Psychology Deborah Helsel Sociology For the University Graduate Committee: Dean, Division of Graduate Studies AUTHORIZATION FOR REPRODUCTION OF MASTER’S THESIS X I grant permission for the reproduction of this thesis in part or in its entirety without further authorization from me, on the condition that the person or agency requesting reproduction absorbs the cost and provides proper acknowledgment of authorship. -
10 Questions Opinion Polls
Questions you might have on 10opinion polls 1. What is an opinion poll? An opinion poll is a survey carried out to measure views on a certain topic within a specific group of people. For example, the topic may relate to who Kenyans support in the presidential race, in which case, the group of people interviewed will be registered voters. 2. How are interviewees for an opinion poll selected? The group of people interviewed for an opinion poll is called a sample. As the name suggests, a sample is a group of people that represents the total population whose opinion is being surveyed. In a scientific opinion poll, everyone has an equal chance of being interviewed. 3. So how come I have never been interviewed for an opinion poll? You have the same chance of being polled as anyone else living in Kenya. However, chances of this are very small and are estimated at about 1 in 14,000. This is because there are approximately 14 million registered voters in Kenya and, for practical and cost reasons, usually only between 1,000 and 2,000 people are interviewed for each survey carried out. 4. How can such a small group be representative of the entire population? In order to ensure that the sample/survey group is representative of the population, the surveyors must ensure that the group reflects the characteristics of the whole. For instance, to get a general idea of who might win the Kenyan presidential election, only the views of registered voters in Kenya will be surveyed as these are the people who will be able to influence the election. -
Handbook of Recommended Practices for Questionnaire Development and Testing in the European Statistical System
Handbook of Recommended Practices for Questionnaire Development and Testing in the European Statistical System Release year: 2006 Authors: G. Brancato, S. Macchia, M. Murgia, M. Signore, G. Simeoni - Italian National Institute of Statistics, ISTAT K. Blanke, T. Körner, A. Nimmergut - Federal Statistical Office Germany, FSO P. Lima, R. Paulino - National Statistical Institute of Portugal, INE J.H.P. Hoffmeyer-Zlotnik - German Center for Survey Research and Methodology, ZUMA Version 1 Acknowledgements We are grateful to the experts from the network countries who supported us in all relevant stages of the work: Anja Ahola, Dirkjan Beukenhorst, Trine Dale, Gustav Haraldsen. We also thank all colleagues from European and overseas NSIs who helped us in understanding the current practices and in the review of the draft version of the handbook. Executive summary Executive Summary Questionnaires constitute the basis of every survey-based statistical measurement. They are by far the most important measurement instruments statisticians use to grasp the phenomena to be measured. Errors due to an insufficient questionnaire can hardly be compensated at later stages of the data collection process. Therefore, having systematic questionnaire design and testing procedures in place is vital for data quality, particularly for a minimisation of the measurement error. Against this background, the Directors General of the members of the European Statistical System (ESS) stressed the importance of questionnaire design and testing in the European Statistics Code of Practice, endorsed in February 2005. Principle 8 of the Code states that “appropriate statistical procedures, implemented from data collection to data validation, must underpin quality statistics.” One of the indicators referring to this principle requires that “questionnaires are systematically tested prior to the data collection.” Taking the Code of Practice as a starting point, this Recommended Practice Manual aims at further specifying the requirements of the Code of Practice. -
Education Quarterly Reviews
Education Quarterly Reviews Allanson, Patricia E., and Notar, Charles E. (2020), Statistics as Measurement: 4 Scales/Levels of Measurement. In: Education Quarterly Reviews, Vol.3, No.3, 375-385. ISSN 2621-5799 DOI: 10.31014/aior.1993.03.03.146 The online version of this article can be found at: https://www.asianinstituteofresearch.org/ Published by: The Asian Institute of Research The Education Quarterly Reviews is an Open Access publication. It May be read, copied, and distributed free of charge according to the conditions of the Creative ComMons Attribution 4.0 International license. The Asian Institute of Research Education Quarterly Reviews is a peer-reviewed International Journal. The journal covers scholarly articles in the fields of education, linguistics, literature, educational theory, research, and methodologies, curriculum, elementary and secondary education, higher education, foreign language education, teaching and learning, teacher education, education of special groups, and other fields of study related to education. As the journal is Open Access, it ensures high visibility and the increase of citations for all research articles published. The Education Quarterly Reviews aiMs to facilitate scholarly work on recent theoretical and practical aspects of education. The Asian Institute of Research Education Quarterly Reviews Vol.3, No.3, 2020: 375-385 ISSN 2621-5799 Copyright © The Author(s). All Rights Reserved DOI: 10.31014/aior.1993.03.03.146 Statistics as Measurement: 4 Scales/Levels of Measurement 1 2 Patricia E. Allanson , Charles E. Notar 1 Liberty University 2 Jacksonville State University. EMail: [email protected] (EMeritus) Abstract This article discusses the basics of the “4 scales of MeasureMent” and how they are applicable to research or everyday tools of life. -
Meta-Analysis of the Relationships Between Different Leadership Practices and Organizational, Teaming, Leader, and Employee Outcomes*
Journal of International Education and Leadership Volume 8 Issue 2 Fall 2018 http://www.jielusa.org/ ISSN: 2161-7252 Meta-Analysis of the Relationships Between Different Leadership Practices and Organizational, Teaming, Leader, and Employee Outcomes* Carl J. Dunst Orelena Hawks Puckett Institute Mary Beth Bruder University of Connecticut Health Center Deborah W. Hamby, Robin Howse, and Helen Wilkie Orelena Hawks Puckett Institute * This study was supported, in part, by funding from the U.S. Department of Education, Office of Special Education Programs (No. 325B120004) for the Early Childhood Personnel Center, University of Connecticut Health Center. The contents and opinions expressed, however, are those of the authors and do not necessarily reflect the policy or official position of either the Department or Office and no endorsement should be inferred or implied. The authors report no conflicts of interest. The meta-analysis described in this paper evaluated the relationships between 11 types of leadership practices and 7 organizational, teaming, leader, and employee outcomes. A main focus of analysis was whether the leadership practices were differentially related to the study outcomes. Studies were eligible for inclusion if the correlations between leadership subscale measures (rather than global measures of leadership) and outcomes of interest were reported. The random effects weighted average correlations between the independent and dependent measures were used as the sizes of effects for evaluating the influences of the leadership practices on the outcome measures. One hundred and twelve studies met the inclusion criteria and included 39,433 participants. The studies were conducted in 31 countries in different kinds of programs, organizations, companies, and businesses. -
Chronic Juvenile Offenders Final Results from the Skillman Aftercare Experiment
If you have issues viewing or accessing this file contact us at NCJRS.gov. ------------------------- --- -- -- - "- 'R'"-A KlO-'- ,.,-- .. ' - . ':'-' '.: . ,': :", ': ".' ".: R:I.. ~· .. ,.: ... :. ~ .... '.~, . ' ....'. " Chronic Juvenile Offenders Final Results from The Skillman Aftercare Experiment Peter W. Greenwood, Elizabeth Piper Deschenes, John Adams The research described in this report was supported by The Skillman Foundatiqn, Grant No. 91-296. Library of Congress Cataloging In Publication Data Greenwood, Peter W. Chronic juvenile offenders : fmal results from the Skillman aftercare experiment I Peter W. Greenwood, Elizabeth Piper Deschenes, John Adams. p. em. "Supported by The Skillman Foundation." "MR-220-SKF." Includes bibliographical references (p. ). ISBN 0-8330-1477-3 1. Juvenile delinquents-Rehabilitation-Michigan-Detroit. 2. Juvenile delinquents-Rehabilitation-Pennsylvania-Pittsburgh. 3. Social work with juvenile delinquents-Michigan -Detroit. 4. Social work with juvenile delinquents-Pennsylvania-Pittsburgh. I. Deschenes, Elizabeth Piper, 1953- ll. Adams, Jolm. 1956- HV9106.D5G74 1994 364.3'6'Q974886-dc20 9340155 CIP RAND is a nonprofit institution that seeks to improve public policy through research and analysis. RAND's publications do not necessarily reflect the opinions or policies of its research sponsors. Published 1993 by RAND 1700 Main Street, P.O. Box 2138, Santa Monica, CA 90407-2138 To obtain information about RAND studies or to order documents, call Distribution Services, (310) 451-7002 • Chronic Ju~{)enile Offeltders Final Results from The Skillman • Aftercare Experiment Peter W. Greenwood, Elizabeth Piper Deschenes, John Adams Supported by The Skillman Foundation •••• < ."'" •••• , ;- ." 151575 U.S. Department of Justice Nationallnstltule of Justice This document has been reproduced exactly as received from the person or organization originating it. Points of view or opinions stated in this document are those of the authors and do not necessarily represent the official position or policies of the National Institute 01 Justice. -
Survey Experiments
IU Workshop in Methods – 2019 Survey Experiments Testing Causality in Diverse Samples Trenton D. Mize Department of Sociology & Advanced Methodologies (AMAP) Purdue University Survey Experiments Page 1 Survey Experiments Page 2 Contents INTRODUCTION ............................................................................................................................................................................ 8 Overview .............................................................................................................................................................................. 8 What is a survey experiment? .................................................................................................................................... 9 What is an experiment?.............................................................................................................................................. 10 Independent and dependent variables ................................................................................................................. 11 Experimental Conditions ............................................................................................................................................. 12 WHY CONDUCT A SURVEY EXPERIMENT? ........................................................................................................................... 13 Internal, external, and construct validity .......................................................................................................... -
Investigate the Relationship Between Socio-Economic Class and Tendency to Delinquency Among Students of Rey City in Tehran
INTERNATIONAL JOURNAL OF ENVIRONMENTAL & SCIENCE EDUCATION 2017, VOL. 12, NO. 4, 851-864 OPEN ACCESS Investigate the relationship between socio-economic class and tendency to delinquency among students of Rey city in Tehran Dr. Abdolreza Bagheri Bonjar Faculty member of Shahed University ABSTRACT Delinquency is a social phenomenon and has social context though biological factors, psychological, geographical, ethnic, racial and other items in the forming and occurring type of delinquency play an important role, explain the issue is on the basis of the social environment, limiting attitude of sociology scope in particular, the performance of the smallest and the most important social institution ie family that plays an important role in cooperation and homogeneous of normative behaviors of individuals with social environment. This study is conducted aimed to investigate the relationship between socio-economic class and delinquency rate with survey method. The sample population consisted of 260 students of Rey that its data is collected using a questionnaire. In this study to show the relationship between socioeconomic class and delinquency, several views is used such as Merton, Weber, and.., research findings indicate that there is a significant relationship between social class and delinquency meanwhile variables of social class (job and income and education) have had inverse relationship with delinquency, the more the rate of job and income and education of individual is high, the delinquency rate decreases. KEYWORDS ARTICLE HISTORY socio-economic class, tendency to delinquency, students Received 10 March 2017 Revised 18 April 2017 Accepted 12 May 2017 Introduction Delinquency of children and adolescents is the complex social issues and problems of today's world. -
Improving Your Exploratory Factor Analysis for Ordinal Data: a Demonstration Using FACTOR
Practical Assessment, Research, and Evaluation Volume 19 Volume 19, 2014 Article 5 2014 Improving Your Exploratory Factor Analysis for Ordinal Data: A Demonstration Using FACTOR James Baglin Follow this and additional works at: https://scholarworks.umass.edu/pare Recommended Citation Baglin, James (2014) "Improving Your Exploratory Factor Analysis for Ordinal Data: A Demonstration Using FACTOR," Practical Assessment, Research, and Evaluation: Vol. 19 , Article 5. DOI: https://doi.org/10.7275/dsep-4220 Available at: https://scholarworks.umass.edu/pare/vol19/iss1/5 This Article is brought to you for free and open access by ScholarWorks@UMass Amherst. It has been accepted for inclusion in Practical Assessment, Research, and Evaluation by an authorized editor of ScholarWorks@UMass Amherst. For more information, please contact [email protected]. Baglin: Improving Your Exploratory Factor Analysis for Ordinal Data: A De A peer-reviewed electronic journal. Copyright is retained by the first or sole author, who grants right of first publication to Practical Assessment, Research & Evaluation. Permission is granted to distribute this article for nonprofit, educational purposes if it is copied in its entirety and the journal is credited. PARE has the right to authorize third party reproduction of this article in print, electronic and database forms. Volume 19, Number 5, June 2014 ISSN 1531-7714 Improving Your Exploratory Factor Analysis for Ordinal Data: A Demonstration Using FACTOR James Baglin, RMIT University, Melbourne, Australia Exploratory factor analysis (EFA) methods are used extensively in the field of assessment and evaluation. Due to EFA’s widespread use, common methods and practices have come under close scrutiny. -
A Practical Guide to Instrument Development and Score Validation in the Social Sciences: the MEASURE Approach
Practical Assessment, Research, and Evaluation Volume 26 Article 1 2021 A Practical Guide to Instrument Development and Score Validation in the Social Sciences: The MEASURE Approach Michael T. Kalkbrenner New Mexico State University - Main Campus Follow this and additional works at: https://scholarworks.umass.edu/pare Recommended Citation Kalkbrenner, Michael T. (2021) "A Practical Guide to Instrument Development and Score Validation in the Social Sciences: The MEASURE Approach," Practical Assessment, Research, and Evaluation: Vol. 26 , Article 1. DOI: https://doi.org/10.7275/svg4-e671 Available at: https://scholarworks.umass.edu/pare/vol26/iss1/1 This Article is brought to you for free and open access by ScholarWorks@UMass Amherst. It has been accepted for inclusion in Practical Assessment, Research, and Evaluation by an authorized editor of ScholarWorks@UMass Amherst. For more information, please contact [email protected]. A Practical Guide to Instrument Development and Score Validation in the Social Sciences: The MEASURE Approach Cover Page Footnote Special thank you to my colleague and friend, Ryan Flinn, for his consultation and assistance with copyediting. This article is available in Practical Assessment, Research, and Evaluation: https://scholarworks.umass.edu/pare/ vol26/iss1/1 Kalkbrenner: The MEASURE Approach A peer-reviewed electronic journal. Copyright is retained by the first or sole author, who grants right of first publication to Practical Assessment, Research & Evaluation. Permission is granted to distribute this article for nonprofit, educational purposes if it is copied in its entirety and the journal is credited. PARE has the right to authorize third party reproduction of this article in print, electronic and database forms.