Methodological considerations for survey research: Validity, reliability, and quantitative analysis

Mellinger, Christopher D.; Hanson, Thomas A.

doi:10.52034/lanstts.v19i0.549

Cited by 26 publications

(17 citation statements)

References 96 publications

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“…Winkler and Berenbon (2020) further validate a survey on scientists' attitudes toward data reuse, highlighting the need for both validity and reliability in survey instruments. Mellinger and Hanson (2020) extend this discussion to the field of Cognitive Translation Studies, emphasizing the need for alignment with theoretical frameworks and constructs and the consideration of measurement invariance and quantitative analysis in survey research.…”

Section: Experimental Researchmentioning

confidence: 99%

Mastering Validity and Reliability in Academic Research: Meaning and Significance

Kouam Arthur William

2024

IJRP

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This study provides a comprehensive overview of the concepts of validity and reliability in academic research and explores methods and strategies to enhance these factors in research studies. By delving into the significance of validity and reliability in various research contexts, including experimental, survey, qualitative, clinical, and social science research, the study offers valuable insights for researchers seeking to ensure the credibility and trustworthiness of their findings. The study highlights the importance of careful research design, the use of valid and reliable measurement tools, establishing clear operational definitions, minimizing bias and error, conducting reliability analyses, validating findings with multiple methods, and peer review processes in enhancing the validity and reliability of research studies. The findings of this research contribute to the existing literature by providing practical guidance on mastering validity and reliability in academic research and emphasizing the need for researchers to prioritize assessing these factors throughout the research process. Additionally, the study suggests future research directions to explore novel strategies for enhancing validity and reliability in different research contexts.

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Section: Experimental Researchmentioning

confidence: 99%

Mastering Validity and Reliability in Academic Research: Meaning and Significance

Kouam Arthur William

2024

IJRP

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“…Tujuannya untuk menentukan nilai korelasi dan konsistensi internal antar item. Sebagaimana dicatat oleh (Mellinger & Hanson, 2020), nilai validitas empiris diperoleh dari hasil tes yang diberikan kepada responden yang dievaluasi. Pengujian ini menggunakan korelasi product-moment yang dianalisis dengan SPSS.…”

Section: Tabel 3 Petunjuk Peskoran Instrumen Tes Kemampuan Pemahaman ...unclassified

Pengembangan Asesmen Essay Untuk Mengukur Keterampilan Pemahaman Matematis Siswa Sma Pada Materi Dimensi Tiga

Darmayanti

Setio

Usmiyatun

2023

UJMES

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One important component in the education system to measure the success and performance of the learning process is assessment activities. The importance of assessment in the learning process can be used as a benchmark for improving the quality of teaching. The purpose of this study was to develop a mathematics learning assessment tool to measure students' abilities in understanding mathematics. The type of development used is related to the model developed by Thiagaran. The study population consisted of five public schools in the city of Pasuruan. The sample of this research was class XII SMA/SMK YALC Pasuruan. The data collection technique used a descriptive test to complete fifteen math questions on three dimensional questions. Data analysis uses validity, reliability, strength, and difficulty. The results of this study indicate that the Essay Test instrument has 12 valid items (3 deleted/deactivated items). Based on the results of this study, we can conclude that the instrument designed to measure students' abilities in understanding mathematics meets valid criteria and can be used in learning

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“…Pilot testing, also called feasibility testing, is also conducted prior to scale evaluation; employing quantitative methodologies, it entails survey administration with a larger sample size (Wolf et al, 2016). Psychometric tests typically include statistical modeling, factor analysis, and bivariate testing (e.g., Pearson’s chi-square) (Mellinger & Hanson, 2021). In the scale evaluation phases, reliability and validity tests are conducted (Boateng et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

“…Reliability testing includes internal consistency (Cronbach’s alpha >.70) and test-retest analysis (correlation coefficient). Types of construct validity testing include convergent and divergent (i.e., discriminant); correlation coefficients are calculated for each test (Mellinger & Hanson, 2021). Floor and ceiling effects are also a measure of scale construct validity (Mellinger & Hanson, 2021).…”

Section: Introductionmentioning

confidence: 99%

“…Types of construct validity testing include convergent and divergent (i.e., discriminant); correlation coefficients are calculated for each test (Mellinger & Hanson, 2021). Floor and ceiling effects are also a measure of scale construct validity (Mellinger & Hanson, 2021). Figure 1 illustrates the scale development, testing, and implementation processes.

Figure 1.Scale Development, Testing, and Implementation Processes. Note .…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Community Engagement in Research: An Updated Systematic Review of Quantitative Engagement Measurement Scales for Health Studies

Gordon,

Van De Griend,

Scharp

et al. 2023

Eval Health Prof

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Though the interest in community engagement in research (CEnR) protocols has increased, studies reporting on the findings of tested CEnR engagement measurement scales for health studies are sparse. A systematic review was conducted from January 1 to March 1, 2023, to identify validated, quantitative CEnR engagement measurement tools for health studies. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology was employed. The rigor of scale development, testing, and implementation was explored, and a `best practices evaluation conducted. Themes on the readiness of scales for implementation in health research studies were narratively compiled. Nineteen studies met the search inclusion criteria—reporting on the development, testing, and implementation of seven CEnR engagement measurement scales for health studies. Scale implementation studies precipitated only two of the studies. None of the scales followed the rigorous process dictated in best practices; however, at this time, three scales have gone through the most robust testing processes. Advancement of the science of engagement measurement requires consensus on terminology, application of best practices for scale development and testing protocols, and consistency of reporting findings.

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Methodological considerations for survey research: Validity, reliability, and quantitative analysis

Cited by 26 publications

References 96 publications

Mastering Validity and Reliability in Academic Research: Meaning and Significance

Mastering Validity and Reliability in Academic Research: Meaning and Significance

Pengembangan Asesmen Essay Untuk Mengukur Keterampilan Pemahaman Matematis Siswa Sma Pada Materi Dimensi Tiga

Community Engagement in Research: An Updated Systematic Review of Quantitative Engagement Measurement Scales for Health Studies

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