Stephen R Carter, Daniel J Rifkin, Parisa Aslani, Andrew J MacLachlan
{"title":"多因素领导力调查问卷用于临时注册的早期职业药剂师时的心理计量特性。","authors":"Stephen R Carter, Daniel J Rifkin, Parisa Aslani, Andrew J MacLachlan","doi":"10.1016/j.sapharm.2024.10.004","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The Multifactor Leadership Questionnaire (MLQ) is a validated instrument used to explore participants' perceptions of leadership and the Outcomes of leadership, participants' evaluation of and satisfaction with leadership and willingness to put in extra effort. The factor structure of MLQ varies across studies. The aim was to explore the psychometric properties of the MLQ for early-career pharmacists rating their preceptor's leadership.</p><p><strong>Methods: </strong>The MLQ was administered to provisionally registered pharmacists during the final half of their 1 year of supervised practice. Confirmatory and Exploratory Factor Analysis (CFA & EFA) and Structural Equation Modeling (SEM) were used to analyse the data.</p><p><strong>Results: </strong>Responses were obtained from 430 participants (25 % of all Australian pre-registration pharmacists at the time). CFA demonstrated that the original 9-factor model and a range of previously published models were poor fit for the data. EFA revealed that a good fit was a model with 4 factors named: Passive laissez-faire, Strategic visionary, Personalized, and Active management by exception. Passive laissez-faire and Active management by exception were consistent with previously published models. The Strategic visionary and Personalized factors were interpreted as 2 forms of transformational leadership that includes the provision of rewards depending on performance. A SEM of MLQ sub-scales predicting Outcomes of leadership explained 90.3 % of variance. Personalized leadership was highly predictive (β = 0.743, P < 0.001) while the three other factors had negligible effects.</p><p><strong>Conclusion: </strong>The psychometric analyses demonstrated overlap of the original 9-factors. A more parsimonious 4-factor model fit the data well.</p>","PeriodicalId":48126,"journal":{"name":"Research in Social & Administrative Pharmacy","volume":" ","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Psychometric properties of the multifactor leadership questionnaire when used in early-career pharmacists with provisional registration.\",\"authors\":\"Stephen R Carter, Daniel J Rifkin, Parisa Aslani, Andrew J MacLachlan\",\"doi\":\"10.1016/j.sapharm.2024.10.004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The Multifactor Leadership Questionnaire (MLQ) is a validated instrument used to explore participants' perceptions of leadership and the Outcomes of leadership, participants' evaluation of and satisfaction with leadership and willingness to put in extra effort. The factor structure of MLQ varies across studies. The aim was to explore the psychometric properties of the MLQ for early-career pharmacists rating their preceptor's leadership.</p><p><strong>Methods: </strong>The MLQ was administered to provisionally registered pharmacists during the final half of their 1 year of supervised practice. Confirmatory and Exploratory Factor Analysis (CFA & EFA) and Structural Equation Modeling (SEM) were used to analyse the data.</p><p><strong>Results: </strong>Responses were obtained from 430 participants (25 % of all Australian pre-registration pharmacists at the time). CFA demonstrated that the original 9-factor model and a range of previously published models were poor fit for the data. EFA revealed that a good fit was a model with 4 factors named: Passive laissez-faire, Strategic visionary, Personalized, and Active management by exception. Passive laissez-faire and Active management by exception were consistent with previously published models. The Strategic visionary and Personalized factors were interpreted as 2 forms of transformational leadership that includes the provision of rewards depending on performance. A SEM of MLQ sub-scales predicting Outcomes of leadership explained 90.3 % of variance. Personalized leadership was highly predictive (β = 0.743, P < 0.001) while the three other factors had negligible effects.</p><p><strong>Conclusion: </strong>The psychometric analyses demonstrated overlap of the original 9-factors. A more parsimonious 4-factor model fit the data well.</p>\",\"PeriodicalId\":48126,\"journal\":{\"name\":\"Research in Social & Administrative Pharmacy\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-10-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Research in Social & Administrative Pharmacy\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.sapharm.2024.10.004\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Research in Social & Administrative Pharmacy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.sapharm.2024.10.004","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH","Score":null,"Total":0}
Psychometric properties of the multifactor leadership questionnaire when used in early-career pharmacists with provisional registration.
Background: The Multifactor Leadership Questionnaire (MLQ) is a validated instrument used to explore participants' perceptions of leadership and the Outcomes of leadership, participants' evaluation of and satisfaction with leadership and willingness to put in extra effort. The factor structure of MLQ varies across studies. The aim was to explore the psychometric properties of the MLQ for early-career pharmacists rating their preceptor's leadership.
Methods: The MLQ was administered to provisionally registered pharmacists during the final half of their 1 year of supervised practice. Confirmatory and Exploratory Factor Analysis (CFA & EFA) and Structural Equation Modeling (SEM) were used to analyse the data.
Results: Responses were obtained from 430 participants (25 % of all Australian pre-registration pharmacists at the time). CFA demonstrated that the original 9-factor model and a range of previously published models were poor fit for the data. EFA revealed that a good fit was a model with 4 factors named: Passive laissez-faire, Strategic visionary, Personalized, and Active management by exception. Passive laissez-faire and Active management by exception were consistent with previously published models. The Strategic visionary and Personalized factors were interpreted as 2 forms of transformational leadership that includes the provision of rewards depending on performance. A SEM of MLQ sub-scales predicting Outcomes of leadership explained 90.3 % of variance. Personalized leadership was highly predictive (β = 0.743, P < 0.001) while the three other factors had negligible effects.
Conclusion: The psychometric analyses demonstrated overlap of the original 9-factors. A more parsimonious 4-factor model fit the data well.
期刊介绍:
Research in Social and Administrative Pharmacy (RSAP) is a quarterly publication featuring original scientific reports and comprehensive review articles in the social and administrative pharmaceutical sciences. Topics of interest include outcomes evaluation of products, programs, or services; pharmacoepidemiology; medication adherence; direct-to-consumer advertising of prescription medications; disease state management; health systems reform; drug marketing; medication distribution systems such as e-prescribing; web-based pharmaceutical/medical services; drug commerce and re-importation; and health professions workforce issues.