Impact of Rating Scales on Malay Spiritual Well-Being Scale Reliability
Journal name: The Malaysian Journal of Medical Sciences
Original article title: Impact of Rating Scale Categories on Reliability and Fit Statistics of the Malay Spiritual Well-Being Scale using Rasch Analysis
The Malaysian Journal of Medical Sciences (MJMS) is a peer-reviewed, open-access journal published online at least six times a year. It covers all aspects of medical sciences and prioritizes high-quality research.
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Aqil Mohammad DAHER, Syed Hassan AHMAD, Than WINN, Mohd Ikhsan SELAMAT
The Malaysian Journal of Medical Sciences:
(A peer-reviewed, open-access journal)
Full text available for: Impact of Rating Scale Categories on Reliability and Fit Statistics of the Malay Spiritual Well-Being Scale using Rasch Analysis
Year: 2015
Copyright (license): CC BY 4.0
Download the PDF file of the original publication
Summary of article contents:
Introduction
The study investigates the impact of the number of response categories in the Malay Spiritual Well-Being Scale (SWBS) on its reliability and fit statistics, employing the Rasch model. This research is significant as few studies have integrated item response theory to examine reliability in this context. Reliability, a critical aspect of questionnaire validity, assesses the consistency of scores across different test situations, while the Rasch model provides insights into the item difficulty and person ability, offering a more comprehensive understanding of measurement error compared to classical test theory.
The Effect of Rating Scale Categories on Reliability
The main findings reveal that the original six response categories on the Malay SWBS yield better reliability and fit statistics compared to the modified three and four categories. The analysis showed that the six categories achieved optimal targeting and the highest person and item reliabilities, which were quantified through various Rasch model indicators, including Infit mean square and Z standard values. Although the three categories performed well in certain measurements, the overall performance, particularly in terms of item reliability and separation indices, was superior with the six categories, indicating that more response options allow for better differentiation among respondents' abilities and item difficulties.
Conclusion
In conclusion, the study asserts that a higher number of response categories, specifically six, enhances the reliability of the Malay SWBS. The results contribute to ongoing discussions regarding the optimal number of rating scale categories for various assessments, underscoring the importance of employing numerous response options to capture the complexities of respondent attitudes and behaviors effectively. These findings not only further validate the Malay SWBS but also provide a framework for future research on rating scales in psychological assessments.
FAQ section (important questions/answers):
What is the purpose of the Malay Spiritual Well-Being Scale study?
The study aims to investigate the impact of different Rating Scale Categories on the reliability and fit statistics of the Malay Spiritual Well-Being Scale, utilizing the Rasch model for analysis.
What were the main findings regarding Rating Scale Categories?
The study found that using six categories led to the highest person and item reliability compared to three and four categories, indicating it provided better targeting and fit statistics.
How was the sample for the study selected?
Fifty participants were randomly selected from a community screening program in Malaysia. The participants were required to be Malaysian and able to read and write in the Malay language.
What statistical method was used to analyze the data?
Data were analyzed using the Winstep Rasch analysis software, which provided fit indices and reliability statistics to evaluate the performance of different Rating Scale Categories.
Glossary definitions and references:
Scientific and Ayurvedic Glossary list for “Impact of Rating Scales on Malay Spiritual Well-Being Scale Reliability”. This list explains important keywords that occur in this article and links it to the glossary for a better understanding of that concept in the context of Ayurveda and other topics.
1) Reliability:
Reliability refers to the consistency and stability of a measurement tool or scale over time. In research, it indicates whether the instrument yields similar results under consistent conditions. High reliability is crucial for ensuring valid conclusions and making informed decisions based on the data collected from the study participants.
2) Measurement:
Measurement involves assigning numbers or values to qualities or characteristics of objects or subjects following specific rules. In the context of psychological and social research, accurate measurement is essential for evaluating constructs like well-being or attitudes, ensuring that data collected reflect true variations across different individuals or populations.
3) Table:
A table organizes data systematically, making it easier to compare and interpret results. In research articles, tables are commonly used to present statistics clearly, such as demographics of study participants or the results of various analyses. They enhance understanding and enable readers to grasp complex information quickly.
4) Study (Studying):
A study refers to a systematic investigation aimed at discovering new information or confirming existing knowledge in a specific field. Studies can adopt various methodologies, yielding data that inform theories, practices, or policies. Their relevance lies in contributing to the body of knowledge and addressing specific research questions.
5) Post:
Post can refer to a subsequent phase in a research process or a follow-up analysis that examines effects or outcomes after an intervention. In many studies, post measures are essential to evaluate how participants respond over time and assess the effectiveness of treatments or programs implemented.
6) Quality:
Quality pertains to the standard or degree of excellence of a given measurement, instrument, or research outcome. In the context of assessments and scales, high quality ensures that the data collected are valid, reliable, and representative of the constructs measured, which enhances the overall credibility of research findings.
7) Pain:
Pain is a significant subject in healthcare and psychological research, often evaluated through various scales and measurements. Understanding the subjective experience of pain is crucial for developing effective treatments and interventions. Accurately measuring pain helps researchers and clinicians assess patient conditions and improve quality of care.
8) Life:
Life, particularly in the context of well-being research, encompasses various dimensions including physical, emotional, and spiritual health. Understanding quality of life is essential for evaluating the impact of interventions. Researchers aim to measure how different factors influence individuals’ perceptions of their life satisfaction and overall happiness.
9) Language:
Language plays a vital role in communication and the interpretation of concepts in research. It influences how participants understand questions or assess statements in surveys. Proper translation and cultural adaptation of instruments ensure that the intended meaning is conveyed, facilitating valid responses and enhancing the study's applicability and relevance.
10) Rules:
Rules in research refer to guidelines that dictate how measurements are to be conducted, interpreted, or reported. These include methodological standards for instrument development, analysis, and statistical reporting. Adhering to these rules is crucial for maintaining the validity and reliability of research findings and ensuring ethical practices.
11) Transmission:
Transmission relates to the process of conveying ideas or information between individuals or groups. In research contexts, it may refer to the dissemination of findings to larger audiences or the transfer of knowledge gained from the study to improve practices or policies in related fields.
12) Performance:
Performance includes the assessment of outcomes based on specific evaluations or criteria. In many studies, particularly in education and psychology, measuring performance allows researchers to draw conclusions about individual abilities, the effectiveness of interventions, and achievement levels in various domains, influencing future directions for research and practice.
13) Knowledge:
Knowledge encompasses the information, understanding, and skills acquired through experience or education. In research, the advancement of knowledge is a primary goal. Studies contribute to the accumulation of knowledge in a field by providing empirical evidence that supports, refutes, or expands existing theories and practices.
14) Education:
Education refers to the process of facilitating learning or the acquisition of skills, values, and knowledge. In research, educational contexts are often studied to evaluate the effectiveness of teaching methods or educational programs. Understanding educational impact contributes to improvements in learning experiences and outcomes for students.
15) Composite:
Composite in research refers to a combination of different elements into a single measure or scale. Composites are used to assess complex constructs that cannot be directly measured. Creating composite scores can enhance the specificity and sensitivity of measurements, providing a more comprehensive understanding of variables being studied.
16) Science (Scientific):
Science denotes the systematic study of the natural world through observation, experimentation, and analysis. In research, applying scientific methods ensures objective evaluations and contributes to evidence-based practices. The rigor of scientific approaches allows for replicable findings, advancing theory and understanding across various disciplines.
17) Family:
Family can refer to social groups that are significant in psychological and sociological contexts. In research, family dynamics may influence individual behavior, health, and well-being. Studies examining family structures and relationships provide insights essential for developing effective interventions to enhance familial support systems.
18) Indian:
Indian refers to aspects related to India, including cultural, social, or demographic characteristics of the population. In research, acknowledging the diversity and uniqueness of the Indian context is vital when interpreting findings or developing culturally sensitive interventions, ensuring that relevant cultural factors are considered.
19) Chang:
Chang likely refers to a specific researcher or scholar recognized for contributions to research methodologies or psychometrics. Mentioning such individuals in research recognizes their influence on the field, practices adopted, or theories developed. Including their work can provide foundational support for the current study's context.
20) Grove:
Grove may denote a reference to an educational or research setting, potentially indicating a link to significant contributors in a specific field. Its mention may highlight the context of research practices or methodologies utilized in a prior study that informs current methodologies or approaches applied.
21) Dana:
Dana might refer to a specific entity, project, or funding opportunity that supports research initiatives. Recognition of funding sources or collaborators is important in the academic setting to highlight support received in facilitating research. Funding helps enhance the scope and quality of scientific inquiries and findings.
22) Hand:
Hand may refer to hands-on application or involvement in research or assessment. In qualitative research, 'hands-on' methodologies emphasize user experiences and participatory approaches. This term can also relate to the physical actions taken in conducting assessments, interventions, or the collaborative work necessary in research settings.
23) Calculation:
Calculation entails performing mathematical operations to derive values, metrics, or statistics from collected data. In research, precise calculations are crucial for accurately interpreting data and drawing valid conclusions. Calculation ensures that findings are based on reliable data analysis, supporting sound recommendations and evidence-based practices.
24) Transformation (Transform, Transforming):
Transformed indicates a change in form, structure, or appearance, often related to data processing in research. In statistical contexts, transformed data may be adjusted for validation or to meet certain statistical assumptions. Understanding how data is transformed is vital for interpreting results meaningfully and accurately.
25) Discussion:
Discussion in research refers to the section where findings are interpreted, implications explored, and contrasts made with existing literature. This part allows researchers to articulate the significance of their study, identify limitations, suggest future directions, and engage with the scholarly community over results obtained.
26) Developing:
Developing pertains to creating or improving processes, instruments, or theories in research. Continuous development is necessary to ensure that measurements remain relevant, reliable, and reflective of evolving understanding or conditions in a particular field. This is particularly important in psychology and education for instrument validation.
27) Relative:
Relative refers to the connection between two or more concepts, often used in comparative analyses. In research contexts, understanding the relative position of variables helps elucidate relationships or differences among groups. It emphasizes the importance of context in interpreting findings within broader societal or scientific frameworks.
28) Buddhism (Buddhist tradition):
Buddhist likely pertains to aspects related to the Buddhist faith or its followers. In research, it can indicate a focus on demographic factors associated with spirituality, health, or cultural studies. Acknowledging such backgrounds ensures that studies consider religious or cultural influences on participants’ behaviors and perceptions.
29) Nature:
Nature often refers to the inherent characteristics or underlying phenomena of a particular subject. In research contexts, comprehending the nature of constructs studied is crucial to develop effective measurement tools and ensure that conclusions drawn are valid and based on the fundamental principles governing the subjects.
30) Putra:
Putra may signify a notable institution or figure, specifically in a South Asian context. If referencing an academic or research organization, its mention underscores collaboration, influences in the study, or the context of research conducted. Recognizing such associations can enhance the credibility and relevance of findings presented.
31) Noise:
Noise in research refers to extraneous variability or factors that obscure the true relationship between studied variables. Managing noise is essential for achieving clarity in results and maintaining the integrity of measurements. Researchers aim to minimize noise to ensure that interpretations are valid and reliable.
32) Mara:
Mara might refer to a specific entity, organization, or concept relevant to the study. Its inclusion may contextualize research findings within a broader framework. Understanding the role of Mara could enhance interpretations, especially if associated with funding, collaboration, or significant contributions to the field of study.
33) Male:
Male refers to the gender classification pertinent to research focusing on demographics, health, or social behaviors. Understanding variations related to gender is crucial for comprehensive analyses, influencing outcomes, and informing interventions. Gender-specific research helps target findings to relevant populations, enhancing the effectiveness of studies conducted.