Survey Instrument Validation Rating Scale

The adequate measurement of abstract constructs is perhaps the greatest challenge to understanding the behavior of people in organizations. Problems with the reliability and validity of measures used on survey questionnaires continue to lead to difficulties in interpreting the results of field research. Price and Mueller suggest that measurement problems may be due to the lack of a well-established framework to guide researchers through the various stages of scale development. This article provides a conceptual framework and a straightforward guide for the development of scales in accordance with established psychometric principles for use in field studies.

International Journal of Assessment Tools in Education, 2020

What follows is a practical guide for establishing the validity of a survey for research purposes. The motivation for providing this guide is our observation that researchers, not necessarily being survey researchers per se, but wanting to use a survey method, lack a concise resource on validity. There is far more to know about surveys and survey construction than what this guide provides; and this guide should only be used as a starting point. However, for the needs of many researchers, this guide provides sufficient, basic information on survey validity. The guide, furthermore, includes references to important handbooks for researchers needing further information. ** We do not think that there is anything in the literature that provides a strong rationale for distinguishing between surveys and questionnaires. For all practical purposes, there is no difference. The research literature, however, typically uses the word survey.

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Measurement Instruments for the Social Sciences

Declining response rates worldwide have stimulated interest in understanding what may be influencing this decline and how it varies across countries and survey populations. In this paper, we describe the development and validation of a short 9-item survey attitude scale that measures three important constructs, thought by many scholars to be related to decisions to participate in surveys, that is, survey enjoyment, survey value, and survey burden. The survey attitude scale is based on a literature review of earlier work by multiple authors. Our overarching goal with this study is to develop and validate a concise and effective measure of how individuals feel about responding to surveys that can be implemented in surveys and panels to understand the willingness to participate in surveys and improve survey effectiveness. The research questions relate to factor structure, measurement equivalence, reliability, and predictive validity of the survey attitude scale.The data came from three...

DOAJ (DOAJ: Directory of Open Access Journals), 2016

Background and purpose: Using valid and reliable instruments is an important way for collecting data in qualitative researches. This paper is a report of a study conducted to examine the extent of psychometric properties of the scales in research papers published in Journal of Advanced Nursing. Methods: In this study, the Journal of Advanced Nursing was chosen for systematic review. All articles which were published during 2007-2009 in this journal were collected and articles related to instrument development were selected. Each article was completely reviewed to identify the methods of instrument validation and reliability. Results: From 980 articles published in Journal of Advanced Nursing during 2007-2009, 41 (4.18%) articles were about research methodology. In these, 12 articles (29.27%) were related to developing an instrument. In this study, review of 12 articles that published in Journal of Advanced Nursing, 2007-2009, showed that some of the articles did not measure psychometric properties properly, thus some of the developed scales need to measure other types of necessary validity. In addition, reliability testing needs to be performed on each instrument used in a study before other statistical analysis are performed. From 12 articles, all of the articles measured and reported Cronbach's alpha, but four of them did not measure test-retest. Conclusions: Although researchers put a great emphasis on methodology and statistical analysis, they pay less attention to the psychometric properties of their new instruments. The authors of this article hope to draw the attention of researcher to the importance of measuring psychometric properties of new instruments.

Major psychological test instruments, especially the longer ones, often contain embedded validity scales. The intent of validity scales is to detect individuals who may be presenting a distorted picture of themselves either by deliberately faking responses or by responding to the items without understanding their meaning or perhaps by simply not reading the items and responding randomly. Different types of validity scale are constructed to target each of these response patterns. The response pattern of concern in this chapter is random responding and the relevant validity checks are usually referred to as consistency scales. For example, the

2010

This study compares five techniques to evaluate survey questions --expert reviews, cognitive interviews, quantitative measures of reliability and validity, and error rates from latent class models. It is the first such comparison that includes both quantitative and qualitative methods. We examined several sets of items, each consisting of three questions intended to measure the same underlying construct. We found low consistency across the methods in how they rank ordered the items within each set. Still, there was considerable agreement between the expert ratings and the latent class method and between the cognitive interviews and the validity estimates. Overall, the methods yield different and sometimes contradictory conclusions with regard to the 15 items pretested. The findings raise the issue of whether results from different testing methods should agree.

Zenodo (CERN European Organization for Nuclear Research), 2022

3.3 A summary of requirements for conducting reliability and validity tests for a questionnaire validation study Chapter 4: Other Issues Pertaining to Reliability and Validity Testing for a Questionnaire Validation Study 4.1 Copyright protection 4.2 The practice of combining more than one existing questionnaire to form a new questionnaire 4.3 The practice of combining a validation study and a research study together by using an unvalidated questionnaire that is awaiting validation for a research purpose 4.4 Sample size requirements 4.5 In what circumstances will validation of the questionnaire be deemed unnecessary? 4.6 Types of questionnaires that are probably not suitable for undergoing validation Chapter

International Journal of Public Opinion Research, 1995

... 26), San Diego, CA; Academic Press. Schwarz, Norbert, Kniuper, Barbel, Hippler, Hans-J., Noelle-Neumann, Elisabeth, and Clark, Leslie (1901a): 'Rating scales: Numeric values may change the meaning of scale labels', Public Opinion Quarterly, 55, 570-82. ...

Dhaulagiri Journal of Sociology and Anthropology

This research note briefly describes the levels of measurement of variables and their applications in the quantitative analysis of survey data. It first presents the concept of the measurement of variables. Second, the four levels of measurements, namely, nominal, ordinal, interval, and ratio, with examples are offered. Then, the application of these measurement levels to the statistical analysis of data at the univariate (descriptive statistics), bivariate, and multivariate (e.g., binary logistic and multiple linear regression) levels are discussed. This note is expected to be useful to the beginning (naïve) scholars for real-world application of statistical tools to analyze survey data.