Self-Efficacy in Research Measure: Analysis of Psychometric Properties
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Abstract
The Self-Efficacy in Research Measure (SERM) is a tool used to assess the confidence and beliefs of graduate students in their research abilities. This study aimed to analyze the appropriateness of the self-efficacy scale items developed and to examine the psychometric properties of the scale in terms of construct validity and reliability. The sample for this research consisted of 260 postgraduate students enrolled in the academic year 2023. Stratified random sampling was employed to select participants. The instrument was translated from English to Thai, and its accuracy was verified by language expert before data collection. The Kaiser-Meyer-Olkin (KMO) test indicated that the sample size was adequate for factor analysis, with a KMO value of 0.94. Bartlett's test of sphericity demonstrated a statistically significant correlation between the 17 items (χ²=2699.97, df=136, p<.001), suggesting their suitability for factor analysis. Confirmatory factor analysis revealed a good fit between the theoretical measurement model and the empirical data (GFI=0.99, CFI=0.95, TLI=0.94, RMSEA=0.07 (90% CI [.05, .08]), PNFI=0.73). The scale demonstrated a high internal consistency estimating by Cronbach's alpha of 0.94. The Thai version of the SERM demonstrated adequate psychometric properties, making it a suitable tool for assessing graduate students' research self-efficacy. It can be used for monitoring students' progress, improving curriculum design and research skills development, and evaluating program outcomes.
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