The Quality of Factor Solutions in Exploratory Factor Analysis: The Influence of Sample Size, Communality, and Overdetermination

Hogarty, Kristine Y.; Hines, Constance V.; Kromrey, Jeffrey D.; Ferron, John M.; Mumford, Karen

doi:10.1177/0013164404267287

Cited by 415 publications

(371 citation statements)

References 14 publications

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“…The findings from this study confirm that the accuracy of factor solutions of the EFA model is dependent on the magnitudes of communalities and factor loadings as well as the degree of overdetermination. This finding supports results from other studies emphasising the importance of high factor loadings, high communalities, and overdetermination in achieving quality factor solutions (Hogarty et al, 2005;MacCallum et al, 1999).…”

Section: Resultssupporting

confidence: 91%

Exploring leadership styles for innovation: an exploratory factor analysis

Wipulanusat

Panuwatwanich

Stewart

2017

Engineering Management in Production and Services

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Leadership plays a vital role in building the process, structures, and climate for an organisation to become innovative and to motivate team expectations toward innovations. This study explores the leadership styles that engineers regard as significant for innovation in the public sector. Exploratory factor analysis (EFA) was conducted to identify the principal leadership styles influencing innovation in the Australian Public Service (APS), using survey data extracted from the 2014 APS employee census comprising 3 125 engineering professionals in Commonwealth of Australia departments. EFA returned a two-factor structure explaining 77.6% of the variance of the leadership for innovation construct. In this study, the results from the EFA provided a clear estimation of the factor structure of the measures for leadership for innovation. From the results, the two factors extracted were transformational leadership and consideration leadership. In transformational leadership, a leader values organisational objectives, inspires subordinates to perform, and motivates followers beyond expected levels of work standards. Consideration leadership refers to the degree to which a leader shows concern and expressions of support for subordinates, takes care of their welfare, treats members as equals, and displays warmth and approachability. These findings highlight the role of leadership as the most critical predictor when considering the degree to which subordinates strive for creativity and innovation. Both transformational and consideration leadership styles are recommended to be incorporated into management training and development programs. This study also recommends that Commonwealth departments recruit supervisors who have both of these leadership styles before implementing innovative projects.

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Section: Resultssupporting

confidence: 91%

Exploring leadership styles for innovation: an exploratory factor analysis

Wipulanusat

Panuwatwanich

Stewart

2017

Engineering Management in Production and Services

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“…This is consistent with the conclusions drawn by other recent simulation studies on sample size in factor analysis. These studies did not however provide a simple answer to the sample size issue because of the wide ranges of the parameter values (λ, p, M) studied (Guadagnoli and Velicer, 1988;Hogarty et al, 2005;MacCallum et al, 1999;Mundfrom et al, 2005;Velicer and Fava, 1998). Another important result concerns the choice between the two different methods of factor extraction.…”

Section: Discussionmentioning

confidence: 99%

Sample size requirements for the internal validation of psychiatric scales

Rouquette

Falissard

2011

Int J Methods Psych Res

199

121

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To cite this version:Alexandra Rouquette, Bruno Falissard. Sample size requirements for the internal validation of psychiatric scales.. International Journal of Methods in Psychiatric Research, Wiley, 2011, 20 (4) Abstract:The ratio of subjects to variables (N/p), as a rule to calculate the sample size required in internal validity studies on measurement scales, has been recommended without any strict theoretical or empirical basis being provided. The purpose of the present study was to develop a tool to determine sample size for these studies in the field of psychiatry. First, a literature review was carried out to identify the distinctive features of psychiatric scales. Then, two simulation methods were developed to generate data according to: 1/ the model for factor structure derived from the literature review and 2/ a real dataset. This enabled the study of the quality of solutions obtained from principal component analysis or Exploratory Factor Analysis (EFA) on various sample sizes. Lastly, the influence of sample size on the precision of Cronbach"s alpha coefficient was examined. The N/p ratio rule is not upheld by this study: short scales do not allow smaller sample size. As a rule of thumb, if one"s aim is to reveal the factor structure, a minimum of 300 subjects is generally acceptable but should be increased when the number of factors within the scale is large, when EFA is used and when the number of items is small.

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“…Para isso seguiu-se o conjunto de procedimentos validados de boas práticas para a análise fatorial, especialmente respeitando o tamanho da amostra e o número de fatores e itens a reter (Costello & Osborne, 2005;Ho, 2006;Hogarty, Hynes, Kromrey, Ferron, & Mumford, 2005;Worthington & Whittaker, 2006). Utilizou-se o método tradicional de análise fatorial (AF) através da análise de componentes principais (ACP) com a extração de fatores/componentes.…”

Section: Procedimentos De Tradução Adaptação E Validação Dos Instrumunclassified

Adaptation of the Scale Knowledge Perception Scale in Primary Education

Araújo

Martins

Faria³

2017

R Est Inv Psico y Educ

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ResumoEsta investigação pretendeu colmatar a necessidade de desenvolver escalas de avaliação das perceções dos alunos quanto ao seu conhecimento de escrita, especialmente no ensino primário. Assim, validou-se a Escala de Perceção do Conhecimento de Escrita em Portugal, após tradução e adaptação de uma escala americana, junto de 338 alunos do 4.º ano de escolaridade, selecionados aleatoriamente. Os resultados explicam 38.5 % da variância dos dados. A escala final apresentou uma estrutura diferenciada composta por dois fatores: "Produzir conteúdo" e "Planificar" e 12 itens. O Alpha total da escala foi de .776 e reúne os critérios de fiabilidade exigidos. Palabras clave: perceção, conhecimento de escrita, ensino primário, escalas, validação. AbstractThis research aimed to address the need to develop scales for evaluating students' perceptions of their writing skills, especially in primary education. Thus, the Scale for Perceiving the Knowledge of Writing in Portugal was validated, after translation and adaptation of an American scale, with 338 students of the 4th year of schooling, randomly selected. The results explain 38.5% of the data variance. The final scale presented a differentiated structure composed of two factors: "Produce content" and "Plan" and 12 items. The total Alpha of the scale was .776 and meets the required reliability criteria.

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The Quality of Factor Solutions in Exploratory Factor Analysis: The Influence of Sample Size, Communality, and Overdetermination

Cited by 415 publications

References 14 publications

Exploring leadership styles for innovation: an exploratory factor analysis

Exploring leadership styles for innovation: an exploratory factor analysis

Sample size requirements for the internal validation of psychiatric scales

Adaptation of the Scale Knowledge Perception Scale in Primary Education

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