Operations social practices in safety and health at work

Maia, Leonardo Caixeta de Castro; Espíndola, Daniel Masini; Veiga, Cristiano Henrique Antonelli da

doi:10.1108/rege-11-2017-004

Cited by 3 publications

(2 citation statements)

References 45 publications

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“…It should be noted that the Q-sort methodology does not require large samples, because after a certain number of statements, theoretical saturation is reached and no new information is introduced (Maia, Espindola and Veiga, 2018). In addition, statistical validity is not the main concern of this type of methodology, since the importance falls on the different opinions (subjectivity) about the topic being studied and not on the percentage of the population that adheres to each of these opinions (Ferreira, Oliveira and Ferreira, 2022).…”

Section: Q-sort Methodology Phasesmentioning

confidence: 99%

Q-Sort: A Blended Methodology Applied to a Personality Inventory

Rodrigues

Lopes

Varela

2023

EJBRM

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The instruments that are constituted by inquiries that intend to investigate the opinions, behaviors and attitudes, instead of putting the person to the test, intend to find out how they would act in a given situation. Although there are no right or wrong answers, there is a tendency to respond in a socially acceptable way, even if the answer does not correspond to reality. This problem can be overcome through the Q-sort methodology that combines quantitative and qualitative data and analytical techniques that are not present in other methods. In this way, it consists of presenting the participants with a set of statements on a given topic and asking them to classify them according to their opinion, according to a predefined distribution, which is generally approximately normal. This methodology forces participants to distribute the score among the items on the scale, thus avoiding the constraints associated with social desirability and the tendency to respond in the same way or always through the midpoint to different questions. Another advantage is that it provides linearity and near-normality to the scale, which makes it possible to compare subjects more easily. Nevertheless, its advantages, Q-sort methodology also has negative points because forced-choice measures produce ipsative data that lead to distorted scales and problematic psychometric properties. As the data are obtained by ordering a set of items or by forcefully choosing one item over another, it is impossible to achieve very high or very low values on all scales, which gives rise to a large number of negative values that, in turn, result in an average correlation between the scales, which is also negative. In view of the above, it was considered relevant to apply the Q-sort methodology to a personality inventory, whose data were collected from 175 university students attending the Portuguese higher education institution which specializes in the area of economic and business sciences. The Q-sort methodology plays a crucial role in personality inventories by offering a subjective and personalized approach to assessing personality traits. It enables a more thorough and contextual analysis of individual traits, thereby contributing to a deeper and more comprehensive understanding of the human personality. The results of the empirical study showed that despite the mean values being negative or very close to zero, they allowed the grouping of respondents according to their similarities in terms of their personality traits depending on the course they attend.

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Section: Q-sort Methodology Phasesmentioning

confidence: 99%

Q-Sort: A Blended Methodology Applied to a Personality Inventory

Rodrigues

Lopes

Varela

2023

EJBRM

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“…The effectiveness of the Q-sort methodology depends on the fulfillment of the steps recommended by It should be noted that the Q-sort methodology does not require large samples, because after a certain number of statements, theoretical saturation is reached and no new information is introduced (Maia et al, 2018). In addition, statistical validity is not the main concern of this type of methodology, since the importance falls on the different opinions (subjectivity) about the topic being studied and not on the percentage of the population that adheres to each of these opinions (Ferreira et al, 2022).…”

Section: Q-sort Methodology Phasesmentioning

confidence: 99%

Q-sort Methodology - the systematic study of participant viewpoints in Social Research

Lopes,

Rodrigues,

Varela

2022

ecrm

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In social sciences research there are instruments made up of questions and that aim to ascertain opinions, behaviors and attitudes, aim to find out how the person would act in a given situation, instead of putting the person to the test. Although there are no right or wrong answers, there is a tendency to respond in a socially acceptable way, even if the answer does not correspond to reality. This problem can be circumvented through the Q-sort methodology that combines quantitative and qualitative data and analytical techniques that are not present in other methods. In this way, it consists of presenting participants with a set of statements on a given topic and asking them to classify them according to their opinion, according to a predefined distribution, which, in general, is approximately normal. This methodology forces participants to distribute the score among the items on the scale, thus avoiding the constraints associated with social desirability and the tendency to respond in the same way or always through the midpoint to different questions. Another advantage is that it provides linearity and near-normality to the scale, which makes it possible to compare subjects more easily with each other. Notwithstanding its advantages, Q-sort methodology also has negative points because forced-choice measures produce ipsative data that lead to distorted scales and problematic psychometric properties. As the data are obtained by ordering a set of items or by forcefully choosing one item over another, it is impossible to reach very high or very low values on all scales, which gives rise to a large number of negative values that, in turn, they result in an average correlation between the scales, which is also negative. In view of the above, it was considered pertinent to review the research carried out on the q-sort methodology, presenting its main advantages and disadvantages.

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Triple bottom line and sustainable performance measurement in industrial companies

Hourneaux¹,

Gabriel

Gallardo‐Vázquez

2018

REGE

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Purpose -The purpose of this paper is to propose a minimum set of indicators to be measured by industrial companies to represent the triple bottom line (TBL) approach. Design/methodology/approach -The research is both descriptive and quantitative. Three hypotheses establish associations among the degrees of use of TBL indicators and their different degrees of use in firms. The authors used confirmatory factor analysis (CFA) to validate the scale and structural equation modelling to represent the final measurement model. The survey gathered 149 industrial companies. Findings -The results pointed out that there are positive associations among the degree of use of environmental indicators and social indicators, economic, environmental and social indicators have different degrees of use in firms, a positive association between the degree of use of environmental and social indicators and the use of economic indicators was not confirmed. The findings suggest how to measure sustainable performance for industrial companies and highlight the differences in the degree of use for the three dimensions of TBL.Research limitations/implications -The limitations refer to the non-probabilistic sample, applied in a specific context, industrial companies. Practical implications -This set of indicators is intended to be used by industrial companies as a reliable instrument to sustainable performance assessment of the current stage of the TBL deployment and provide alternative approaches to address specific issues related to the environmental, social and economic sustainability. Social implications -The results offer tangible results for measuring and reporting firm's social and environmental performance. Originality/value -This paper intends to offer an integrated and consistent way of measuring sustainability in industrial companies.

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Operations social practices in safety and health at work

Cited by 3 publications

References 45 publications

Q-Sort: A Blended Methodology Applied to a Personality Inventory

Q-Sort: A Blended Methodology Applied to a Personality Inventory

Q-sort Methodology - the systematic study of participant viewpoints in Social Research

Triple bottom line and sustainable performance measurement in industrial companies

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