Bias in Mental Testing. Arthur R. Jensen / Multiple Indicators: An Introduction. John L. Sullivan and Stanley Feldman / Exploratory Data Analysis. Frederick Hartwig and Brian E. Dearing / Reliability and Validity Assessment. Edward G. Carmines and Richard A. Zeller / Analyzing Panel Data. Gregory B. Markus / Introduction to Measurement Theory. Mary J. Allen and Wendy M. Yen / Qualitative and Quantitative Methods in Evaluation Research. Thomas D. Cook and Charles S. Reichardt, Editor / Evaluator Interventions—Pros and Cons. Robert Perloff, Editor / Translating Evaluation into Policy. Robert F. Rich, Editor / The Evaluator and Management. Herbert C. Schulberg and Jeanette M. Jerrell, Editors / Evaluation in Legislation. Franklin M. Zweig, Editor

1981 ◽  
Vol 13 (4) ◽  
pp. 235-238
Author(s):  
Jane Thompson ◽  
Joseph C. Ciechalski
2018 ◽  
Vol 232 ◽  
pp. 01057
Author(s):  
Yashun Zhang

In the past few years, shared bicycles without piles developed so fast, they also experienced problems such as unregulated bicycle parking and unrepaired damaged bicycles. This article’s study about users’ consciously participating in the reporting damaged or illegal vehicles, encourages shared bicycle users’ value co-creation behaviours, and strengthens the interaction between companies and users. This paper uses the combination of qualitative and quantitative methods to analyse the reliability and validity of the collected questionnaires, and uses the structural equation model to test the relevant hypotheses. It draws the conclusion that sense of responsibility, sense of accomplishment, expected revenue, peer acceptance, and self-efficacy have positive impacts on the value co-creation behaviour of shared bicycle users. The value creation behaviour of users has a positive impact on process satisfaction and result satisfaction.


2017 ◽  
Vol 51 (7) ◽  
pp. 970-988 ◽  
Author(s):  
Shiri Pearlman-Avnion ◽  
Mor Grayevsky

The present study uses qualitative and quantitative methods to examine whether homeschooled youth in the largely urbanized social context of Israel differ in their level of civic engagement and social self-efficacy from that of their peers educated at school. Participants completed quantitative questionnaires on civic engagement and social self-efficacy and two personal questionnaires, one quantitative and one qualitative, pertaining to their opinions on various modes of education. No significant differences were found between the degree of civic engagement and sense of social self-efficacy among the two groups. However, within the homeschooling group, social self-efficacy decreased as the number of years they were schooled at home increased, indicating potential negative impact of extended homeschooling. The qualitative study gives insights into attitudes of youth from both groups regarding various modes of education. The findings are discussed in the context of the ongoing debate regarding the pros and cons of homeschooling.


2017 ◽  
Vol 27 (2) ◽  
pp. 427-452 ◽  
Author(s):  
Yen-Chun Chen ◽  
Yung-Cheng Shen ◽  
Crystal Tzu-Ying Lee ◽  
Fu-Kai Yu

Purpose The purpose of this paper is to develop and validate a multidimensional hierarchical scale for measuring “e-service quality variation.” Design/methodology/approach Based on the psychometric scale-development approach, qualitative and quantitative methods were employed to develop the e-SERVAR scale. A multidimensional hierarchical factor structure of e-SERVAR is proposed, along with a set of preliminary items derived from literature and the qualitative study. Furthermore, the Yahoo website in Taiwan was chosen to be the target e-service website for data collection to develop the e-SERVAR scale. A series of statistical methods (i.e. item-to-total correlations, exploratory factor analyses, CFAs and structural equation modeling) were adopted to verify construct reliability and validity as well as nomological validity of the scale. Findings A 41-item e-SERVAR scale based on the structure of a hierarchical factor model was developed that contains three primary dimensions (i.e. information, system and fulfillment) and nine subdimensions (information accuracy, information quantity, information timeliness, information usefulness, system reliability, system security, merchandise quality, merchandise delivery timeliness and merchandise security). Practical implications The results of this study help managers identify sources of quality variability and design efficacious strategies to reduce such variability in order to improve the overall e-service quality. Originality/value Prior research of e-service quality has paid less attention to the role of e-service quality variability. Discussion of e-service quality variability was mainly conceptual in nature. This research presents the e-SERVAR scale as a measurement tool that provides a new avenue for researchers to study how to improve e-service quality by measuring service variability.


2019 ◽  
Vol 40 (1) ◽  
pp. 423-442 ◽  
Author(s):  
Lawrence A. Palinkas ◽  
Sapna J. Mendon ◽  
Alison B. Hamilton

Mixed methods research—i.e., research that draws on both qualitative and quantitative methods in varying configurations—is well suited to address the increasing complexity of public health problems and their solutions. This review focuses specifically on innovations in mixed methods evaluations of intervention, program or policy (i.e., practice) effectiveness, and implementation. The article begins with an overview of the structure, function, and process of different mixed methods designs and then provides illustrations of their use in effectiveness studies, implementation studies, and combined effectiveness–implementation hybrid studies. The article then examines four specific innovations: procedures for transforming (or “quantitizing”) qualitative data, application of rapid assessment and analysis procedures in the context of mixed methods studies, development of measures to assess implementation outcomes, and strategies for conducting both random and purposive sampling, particularly in implementation-focused evaluation research. The article concludes with an assessment of challenges to integrating qualitative and quantitative data in evaluation research.


2022 ◽  
Author(s):  
Wang YongKang ◽  
Fu QianQian

The aim of this study is to construct and validate “physical literacy self-assessment questionnaire” (PLAQ) for Chinese students in grades 3-6. This study uses qualitative and quantitative methods to construct evaluation indicators of PL and determine the weights of each indicator. The 60 items of original PLAQ was based on literature review and interviews, and administered to 1179 primary students graded 3-6 in China. Exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) are used to optimize the structure and verify the reliability and validity of the questionnaire. The model of PLAQ is composed of 4 first-level indicators, 10 second-level indicators and 35 third-level indicators. The results of EFA and CFA resulted in a 44-items, 4-factor questionnaire. EFA item loadings ranged from 0.558 to 0.896, and Cronbach's alpha ranged from 0.818 to 0.892. The results of CFA show that the constructed model fits well, and PLAQ has good convergent validity and discriminative validity. The PLAQ appeared to be reliable and valid that can be used as an assessment tool for students in grades 3-6. PLAQ can be used as a guide for the development of PL. Additionally, PLAQ gives us a shared understanding about what PL is and how it can be developed by Chinese children. However, studies on the accuracy and generalizability of the PLAQ should be conducted to improve it in the future.


PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245662
Author(s):  
Ning Jiang ◽  
Jingxia Cheng ◽  
Zhihong Ni ◽  
Yansheng Ye ◽  
Rujun Hu ◽  
...  

Earthquakes pose serious threats to the world. Good individual resilience can cope with disaster well, but there were few appropriate assessment tools. The purpose of this study was to develop a new individual earthquake resilience questionnaire and test its reliability and validity. First, we built the framework of the individual earthquake resilience questionnaire based on expert interviews. Then, we established the initial version of questionnaire and used the Delphi method and item selection to modify it by qualitative and quantitative methods. Finally, we built the final version of questionnaire (contained 4 dimensions and 17 items) and tested the reliability and validity. The Cronbach’s α values of the four dimensions were between 0.79 and 0.91, the split-half reliabilities were between 0.85 and 0.93, and the test-retest reliabilities were between 0.72 and 0.80. The item content validity indexes were between 0.87–1, and the average questionnaire content validity index was 0.94. The correlation coefficients between each item and dimension with the total questionnaire ranged from 0.79–0.90 and 0.66–0.79, respectively. We used exploratory factor analysis to identify four common factors with a cumulative variance contribution rate of 74.97%. The questionnaire is a valid and reliable tool to measure individual resilience in the context of earthquake disasters.


2017 ◽  
Vol 6 (2) ◽  
pp. 1
Author(s):  
A.T. Wijesekera ◽  
R. Lalitha S. Fernando

The most accepted SERVQUAL is heavily applied to measure the service quality of Business to Customer (B2C) profit oriented organizations than for non-profit organizations. As such, this paper describes the development of a 19-item instrument for assessing customer perceptions of service quality in public service with special reference to Divisional Secretariats in Sri Lanka. To do so, both qualitative and quantitative methods were utilized in three fundamental stages recommended by Churchill (1979) and Parasuraman et.al, (1988). In following their footsteps, initially a qualitative research was undertaken in five Divisional Secretariats within Gampaha District through interviews with 50 customers from different backgrounds and affiliations which produced 42-items with eight factors emerged. These 42-items were included in a questionnaire and quantitative study was undertaken with 100 respondents who were current or recent customers of Divisional Secretariats within Gampatha District. To ensure the reliability and validity of the measures of service quality construct, mainly reliability test, split-half reliability and factor analysis, were used. Finally, 42-items were deduced in to 19-items and a new scale was developed to measure the service quality of Divisional Secretariats with 5 dimensions Responsiveness, Communication, Tangible, Empathy and Assurance. Among these, responsiveness dimensions could be the least important and the empathy dimension was of most concern to customers. As a closing note, limitations and further studies were discussed.


Most of projects in developing countries suffer cost overruns, behind the schedule, and bad quality due to improper monitoring and controlling technique. This study investigated the earned value management in Yemen as a monitoring and controlling technique and its relation with the project performance. The both qualitative and quantitative methods were adopted covering unstructured interview and questionnaire. This study conducted both pilot study and pre-test which led to proper instrument used in large-scale survey. Reliability and validity tests applied on the instrument which judged it to be reliable and valid. SPSS IBM 19 analysed the data showing that the Earned value has not understood due to lack of knowledge and wasn’t practiced in the site. Consequently, this led to performance failure. To overcome this issue, the academics and practitioners should study and practice earned value management in Yemen particularly, and in developing countries in general.


2019 ◽  
Vol 21 (1) ◽  
pp. 162-175 ◽  
Author(s):  
Umesh Ramchandra Raut ◽  
Pedro Quelhas Brito ◽  
Prafulla Arjun Pawar

The aim of the present study is to analyze brand resonance measures to assess reliability, dimensionality and validity using existing models of brand resonance. This study is based on a mixed approach of research methodology, using qualitative and quantitative methods. In the qualitative approach, we use expert interview and focus group discussion tools. In the quantitative approach, a corporate survey was conducted and 560 responses were collected through a structured questionnaire. The analysis is performed using statistical scaling tools such as Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA). This study initiated scale extraction and operationalization processes for 72 observed variables to measure nine latent variables and obtained 34 statistically extracted observed variables. The study provides a reliable and validated means to measure brand resonance constructs. The study develops a brand resonance scale, which can help brand managers to measure consumers’ levels of brand resonance, in order to describe the strength of the bond of their consumer with their brand(s). This study develops empirically extracted measures of brand resonance, making it distinctive in the branding literature. The study also ensures all important aspects of measurement scale, such as validity and reliability.


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