Repeated measures ANOVA and adjusted F-tests when sphericity is violated: which procedure is best?

Introduction: One-way repeated measures ANOVA requires sphericity. Research indicates that violation of this assumption has an important impact on Type I error. Although more advanced alternative procedures exist, most classical texts recommend the use of adjusted F-tests, which are frequently employed because they are intuitive, easy to apply, and available in most statistical software. Adjusted F-tests differ in the procedure used to estimate the corrective factor ε, the most common being the Greenhouse-Geisser (F-GG) and Huynh-Feldt (F-HF) adjustments. Although numerous studies have analyzed the robustness of these procedures, the results are inconsistent, thus highlighting the need for further research. Methods: The aim of this simulation study was to analyze the performance of the F-statistic, F-GG, and F-HF in terms of Type I error and power in one-way designs with normal data under a variety of conditions that may be encountered in real research practice. Values of ε were fixed according to the Greenhouse-Geisser procedure (ε^). We manipulated the number of repeated measures (3, 4, and 6) and sample size (from 10 to 300), with ε^ values ranging from the lower to its upper limit. Results: Overall, the results showed that the F-statistic becomes more liberal as sphericity violation increases, whereas both F-HF and F-GG control Type I error; of the two, F-GG is more conservative, especially with large values of ε^ and small samples. Discussion: If different statistical conclusions follow from application of the two tests, we recommend using F-GG for ε^ values below 0.60, and F-HF for ε^ values equal to or above 0.60.

Co-Microencapsulation of Sacha Inchi (Plukenetia huayllabambana) Oil with Natural Antioxidants Extracts.

Sacha inchi (Plukenetia huayllabambana) oil was co-microencapsulated with natural antioxidant extracts (NAE), such as camu-camu (Myrciaria dubia (HBK) Mc Vaugh) fruit, Añil variety Andean potato (Solanum tuberosum andigenum, and elderberry fruit (Sambucus peruviana). Gum Arabic and the ternary combination of gum Arabic (GA) + maltodextrin (MD) + whey protein isolate (WPI) at different formulations were used as coating materials for the encapsulation process using spray-drying. The moisture content, particle size distribution and morphology, total phenolic content, antioxidant activity, fatty acid and sterol composition, oxidative stability, and shelf-life were evaluated. Co-microcapsules of sacha inchi (P. huayllabambana) oil with camu camu skin extract (CCSE) at 200 ppm encapsulated with GA + MD + WPI had the highest total polyphenol content (4239.80 µg GAE/g powder), antioxidant activity (12,454.00 µg trolox/g powder), omega-3 content (56.03%), ß-sitosterol (62.5%), greater oxidative stability (Oxidation Onset temperature of 189 °C), higher shelf-life (3116 h), and smaller particle sizes (6.42 µm). This research enhances the knowledge to obtain microcapsules containing sacha inchi (P. huayllabambana) oil with natural antioxidant extracts that could be used for the development of functional foods. Further research is needed to study the potential interactions and their influence between the bioactive components of the microcapsules and the challenges that may occur during scale-up to industrial production.

Optimisation and Characterisation of the Protein Hydrolysate of Scallops (Argopecten purpuratus) Visceral By-Products.

In this research, scallops (Argopecten purpuratus) visceral meal (SVM) and defatted meal (SVMD) were analysed for their proximal composition, protein solubility, and amino acid profile. Hydrolysed proteins isolated from the scallop's viscera (SPH) were optimised and characterised using response surface methodology with a Box-Behnken design. The effects of three independent variables were examined: temperature (30-70 °C), time (40-80 min), and enzyme concentration (0.1-0.5 AU/g protein) on the degree of hydrolysis (DH %) as a response variable. The optimised protein hydrolysates were analysed for their proximal composition, yield, DH %, protein solubility, amino acid composition, and molecular profile. This research showed that defatted and isolation protein stages are not necessaries to obtain the hydrolysate protein. The conditions of the optimization process were 57 °C, 62 min and 0.38 AU/g protein. The amino acid composition showed a balanced profile since it conforms to the Food and Agriculture Organisation/World Health Organisation recommendations for healthy nutrition. The predominant amino acids were aspartic acid + asparagine, glutamic acid + Glutamate, Glycine, and Arginine. The protein hydrolysates' yield and DH % were higher than 90% and close to 20%, respectively, with molecular weight between 1-5 kDa. The results indicate that the protein hydrolysates of scallops (Argopecten purpuratus) visceral by product optimised and characterised was suitable a lab-scale. Further research is necessary to study the bioactivity properties with biologic activity of these hydrolysates.

Non-normal Data in Repeated Measures ANOVA: Impact on Type I Error and Power.

BACKGROUND: Repeated measures designs are commonly used in health and social sciences research. Although there are other, more advanced, statistical analyses, the F-statistic of repeated measures analysis of variance (RM-ANOVA) remains the most widely used procedure for analyzing differences in means. The impact of the violation of normality has been extensively studied for between-subjects ANOVA, but this is not the case for RM-ANOVA. Therefore, studies that extensively and systematically analyze the robustness of RM-ANOVA under the violation of normality are needed. This paper reports the results of two simulation studies aimed at analyzing the Type I error and power of RM-ANOVA when the normality assumption is violated but sphericity is fulfilled. METHOD: Study 1 considered 20 distributions, both known and unknown, and we manipulated the number of repeated measures (3, 4, 6, and 8) and sample size (from 10 to 300). Study 2 involved unequal distributions in each repeated measure. The distributions analyzed represent slight, moderate, and severe deviation from normality. RESULTS: Overall, the results show that the Type I error and power of the F-statistic are not altered by the violation of normality. CONCLUSIONS: RM-ANOVA is generally robust to non-normality when the sphericity assumption is met.

Psychometric properties of the perceived stress scale (pss-10) with breast cancer patients.

Breast cancer diagnosis is one of the most difficult events that a woman can experience during her life and it usually produces high levels of stress. Global measures of perceived stress are useful for screening and for comparing stress levels between cancer patients and other clinical and nonclinical populations. One such instrument that is widely used is the Perceived Stress Scale (pss-10), but its psychometric properties have scarcely been analysed with breast cancer patients. The aim of this study was to provide validity evidence regarding the use of the 10-item version of the pss-10 as a tool for measuring perceived stress in this context. Participants were 215 Spanish breast cancer patients who completed the PSS-10 and the DASS-21, a measure of affective distress (depression, anxiety, and stress). The internal structure of the PSS-10 was examined through confirmatory factor analysis (CFA), and the reliability of test scores was estimated using McDonald's omega coefficient. Validity evidence based on relationships with other variables was also obtained using correlation analysis. The CFA supported a correlated two-factor structure: perceived helplessness (six negatively worded items) and perceived self-efficacy (four positively worded items). Reliability coefficients for scores on these two factors were 0.87 and 0.73, respectively. Scores on affective distress (DASS-21) were strongly and positively correlated with perceived helplessness and moderately and negatively correlated with perceived self-efficacy. The PSS-10 is an adequate tool for measuring perceived stress in the breast cancer context and it may be useful for identifying women at risk of psychological maladjustment.

Non-normal Data in Repeated Measures ANOVA: Impact on Type I Error and Power / Datos no Normales en el ANOVA de Medidas Repetidas: Impacto en el Error Tipo I y Potencia

Background: Repeated measures designs are commonly used in health and social sciences research. Although there are other, more advanced, statistical analyses, the F-statistic of repeated measures analysis of variance (RM-ANOVA) remains the most widely used procedure for analyzing differences in means. The impact of the violation of normality has been extensively studied for between-subjects ANOVA, but this is not the case for RM-ANOVA. Therefore, studies that extensively and systematically analyze the robustness of RM-ANOVA under the violation of normality are needed. This paper reports the results of two simulation studies aimed at analyzing the Type I error and power of RM-ANOVA when the normality assumption is violated but sphericity is fulfilled. Method: Study 1 considered 20 distributions, both known and unknown, and we manipulated the number of repeated measures (3, 4, 6, and 8) and sample size (from 10 to 300). Study 2 involved unequal distributions in each repeated measure. The distributions analyzed represent slight, moderate, and severe deviation from normality. Results: Overall, the results show that the Type I error and power of the F-statistic are not altered by the violation of normality. Conclusions: RM-ANOVA is generally robust to non-normality when the sphericity assumption is met.(AU)

Antecedentes: El diseño de medidas repetidas es uno de los más usados en ciencias sociales y de la salud. Aunque hay otras alternativas más avanzadas, el análisis de varianza de medidas repetidas (ANOVA-MR) sigue siendo el procedimiento más empleado para analizar las diferencias de medias. El impacto de la violación de la normalidad ha sido muy estudiado en el ANOVA intersujeto, pero los estudios son muy escasos en el ANOVA-MR. Por ello, el objetivo de este trabajo es realizar dos estudios de simulación Monte Carlo para analizar el error de Tipo I y la potencia cuando se incumple este supuesto bajo el cumplimiento de la esfericidad. Método: El estudio 1 incluye 20 distribuciones, tanto conocidas como desconocidas, manipulando el número de medidas repetidas (3, 4, 6 y 8) y el tamaño muestral (de 10 a 300). El estudio 2 incluye diferentes distribuciones en cada medida repetida. Las distribuciones analizadas representan desviación leve, moderada y severa de la normalidad. Resultados: En general, los resultados muestran que tanto el error Tipo I como la potencia del estadístico F no se alteran con la violación de la normalidad. Conclusiones: El ANOVA-MR es generalmente robusto a la no normalidad cuando la esfericidad se satisface.(AU)

Persuasion ability in children from 6 to 12 years old: Relations to cognitive and affective theory of mind.

This study analyzes the relation between cognitive and affective components of theory of mind (ToM) in school-aged children and persuasion abilities. One-hundred forty-three normotypical school children aged 6 to 12 were administered cognitive and affective ToM tasks and one persuasion production task. A set of regression models showed that only the affective ToM component can predict both the persuasion total scores and all its indicators' scores. Children with a greater ability to attribute emotional mental states do not only produce a wider variety of persuasive arguments but also arguments focused on the persuadee and those with mental-related content. Both Hidden Emotion and Belief-Emotion (negative) tasks have been predictive of persuasion total scores. This study provides data on specific contribution of cognitive ToM and affective ToM on indicators of variety and quality of persuasive arguments independently.

Design of Functional Powdered Beverages Containing Co-Microcapsules of Sacha Inchi P. huayllabambana Oil and Antioxidant Extracts of Camu Camu and Mango Skins.

Sacha inchi Plukenetia huayllabambana oil (SIPHO) was co-microencapsulated, by spray drying using gum arabic as a coating material, with antioxidant extracts of camu camu (Myrciaria dubia (HBK) McVaugh) (CCSE) and mango (Mangifera indica) (MSE) skins obtained by ultrasound-microwave-assisted extraction (UMAE). The physicochemical characteristics of the microcapsules, such as, particle size, morphology, and moisture, as well as the encapsulation efficiency, the fatty acid composition, and oxidative stability, were determined in order to select the best formulation for the design of functional powdered beverages. The formulation with the highest amounts of ω3 acids and polyphenols was used to prepare a functional powdered beverage that contained ω3 (52.74%), antioxidant activity (324.80 mg AAE/100 g powder), and acceptable sensory attributes.

The Satisfaction with Life Scale in Breast Cancer Patients: Psychometric Properties / Escala de Satisfacción con la Vida en pacientes de cáncer de mama: propiedades psicométricas

ResumenAntecedentes/Objetivo: El objetivo es examinar las propiedades psicométricas de la Satis-faction with Life Scale (SWLS), analizando la fiabilidad de sus puntuaciones y aportando evidencias para su uso en pacientes con cáncer de mama. Se proporcionan evidencias de validez basadas en la estructura interna y en la relación con otras variables psicológicas positivas y con otras indicativas de ajuste psicológico. Método: Han participado 222 mujeres españolas diagnosticadas de cáncer de mama, que cumplimentaron la SWLS y medidas de afecto positivo y negativo, autoestima, resiliencia, inteligencia emocional, florecimiento, optimismo, depresión, ansiedad y estrés. Resultados: El análisis factorial confirmatorio in-dicó una estructura unidimensional, S-B χ2(5) = 7,36, p = 0,19, CFI = 0,99, NNFI = 0,99, RMSEA = 0,046. La fiabilidad de las puntuaciones estimadas con omega de McDonald fue de 0,80. Las evidencias de validez mostraron correlaciones positivas entre las puntuaciones de SWLS y afecto positivo, autoestima, inteligencia emocional (específicamente, claridad y repara-ción), florecimiento y optimismo (rango 0,24-0,69), así como correlaciones negativas con afecto negativo, pesimismo, depresión, ansiedad y estrés (rango -0,25, -0,59). Conclusio-nes: La versión española de la SWLS muestra adecuadas propiedades psicométricas, siendo una medida apropiada para utilizarla en pacientes de cáncer de mama.© 2021 Asociación Española de Psicología Conductual.

AbstractBackground/Objective: This study aims to analyze the psychometric properties of the Satisfaction with Life Scale (SWLS), examining the reliability of scale scores and providing validity evidence for its use with breast cancer patients. We provide validity evidence based on internal structure and on relationships with positive psychological variables and other variables indicative of psychological adjustment. Method: Participants were 222 Spanish women with a diagnosis of breast cancer. They completed the SWLS and a battery of questionnaires measuring positive and negative affect, self-esteem, resilience, emotional intelligence, flourishing, optimism, depression, anxiety, and stress. Results: Confirmatory factor analysis supported a single-factor structure for the SWLS, S-B χ2(5) = 7.36, p = .19, CFI = .99, NNFI = .99, RMSEA = .046. The reliability of test scores estimated with McDonald’s omega yielded a value of .80. Validity evidence was provided by a positive correlation between SWLS scores and positive affect, self-esteem, resilience, emotional intelligence (specifically, clarity and repair), flourishing, and optimism (range: .24, .69), and by a negative correlation with negative affect, pessimism, depression, anxiety, and stress (range: -.25, -.59). Conclusions: The Spanish version of the SWLS showed satisfactory psychometric properties and it is an appropriate measure for use in the breast cancer context.

The Satisfaction with Life Scale in breast cancer patients: Psychometric properties.

BACKGROUND/OBJECTIVE: This study aims to analyze the psychometric properties of the Satisfaction with Life Scale (SWLS), examining the reliability of scale scores and providing validity evidence for its use with breast cancer patients. We provide validity evidence based on internal structure and on relationships with positive psychological variables and other variables indicative of psychological adjustment. METHOD: Participants were 222 Spanish women with a diagnosis of breast cancer. They completed the SWLS and a battery of questionnaires measuring positive and negative affect, self-esteem, resilience, emotional intelligence, flourishing, optimism, depression, anxiety, and stress. RESULTS: Confirmatory factor analysis supported a single-factor structure for the SWLS, S-B χ2 (5) = 7.36, p = .19, CFI = .99, NNFI = .99, RMSEA = .046. The reliability of test scores estimated with McDonald's omega yielded a value of .80. Validity evidence was provided by a positive correlation between SWLS scores and positive affect, self-esteem, resilience, emotional intelligence (specifically, clarity and repair), flourishing, and optimism (range: .24, .69), and by a negative correlation with negative affect, pessimism, depression, anxiety, and stress (range: -.25, -.59). CONCLUSIONS: The Spanish version of the SWLS showed satisfactory psychometric properties and it is an appropriate measure for use in the breast cancer context.

ANTECEDENTES/OBJETIVO: El objetivo deestudio es examinar las propiedades psicométricas de la Escala de Satisfacción con la Vida (SWLS), analizando la fiabilidad de sus puntuaciones y aportando evidencias para su uso en pacientes con cáncer de mama. Se proporcionan evidencias de validez basadas en la estructura interna y en la relación con otras variables psicológicas positivas y con otras indicativas de ajuste psicológico. MÉTODO: Han participado 222 mujeres españolas diagnosticadas de cáncer de mama, que cumplimentaron la SWLS y medidas de afecto positivo y negativo, autoestima, resiliencia, inteligencia emocional, florecimiento, optimismo, depresión, ansiedad y estrés. RESULTADOS: El análisis factorial confirmatorio indicó una estructura unidimensional, S-B χ2(5) = 7,36, p = 0,19, CFI = 0,99, NNFI = 0,99, RMSEA = 0,046. La fiabilidad de las puntuaciones estimadas con omega de McDonald fue de 0,80. Las evidencias de validez mostraron correlaciones positivas entre las puntuaciones de SWLS y afecto positivo, autoestima, inteligencia emocional (específicamente, claridad y reparación), florecimiento y optimismo (rango 0,24 0,69), así como correlaciones negativas con afecto negativo, pesimismo, depresión, ansiedad, y estrés (rango -0,25 - 0,59). CONCLUSIONES: La versión española de la SWLS muestra adecuadas propiedades psicométricas, siendo una medida apropiada para utilizarla en pacientes de cáncer de mama.

Report Quality of Generalized Linear Mixed Models in Psychology: A Systematic Review.

Generalized linear mixed models (GLMMs) estimate fixed and random effects and are especially useful when the dependent variable is binary, ordinal, count or quantitative but not normally distributed. They are also useful when the dependent variable involves repeated measures, since GLMMs can model autocorrelation. This study aimed to determine how and how often GLMMs are used in psychology and to summarize how the information about them is presented in published articles. Our focus in this respect was mainly on frequentist models. In order to review studies applying GLMMs in psychology we searched the Web of Science for articles published over the period 2014-2018. A total of 316 empirical articles were selected for trend study from 2014 to 2018. We then conducted a systematic review of 118 GLMM analyses from 80 empirical articles indexed in Journal Citation Reports during 2018 in order to evaluate report quality. Results showed that the use of GLMMs increased over time and that 86.4% of articles were published in first- or second-quartile journals. Although GLMMs have, in recent years, been increasingly used in psychology, most of the important information about them was not stated in the majority of articles. Report quality needs to be improved in line with current recommendations for the use of GLMMs.

Opportunities for the Use of Brazilian Biomass to Produce Renewable Chemicals and Materials.

This Review highlights the principal crops of Brazil and how their harvest waste can be used in the chemicals and materials industries. The Review covers various plants; with grains, fruits, trees and nuts all being discussed. Native and adopted plants are included and studies on using these plants as a source of chemicals and materials for industrial applications, polymer synthesis, medicinal use and in chemical research are discussed. The main aim of the Review is to highlight the principal Brazilian agricultural resources; such as sugarcane, oranges and soybean, as well as secondary resources, such as andiroba brazil nut, buriti and others, which should be explored further for scientific and technological applications. Furthermore, vegetable oils, carbohydrates (starch, cellulose, hemicellulose, lignocellulose and pectin), flavones and essential oils are described as well as their potential applications.

Development and Psychometric Properties of the Questionnaire for Assessing Educational Podcasts (QAEP).

The aim of this research was to develop and validate the Questionnaire for Assessing Educational Podcasts (QAEP), an instrument designed to gather students' views about four dimensions of educational podcasts: access and use, design and structure, content adequacy, and value as an aid to learning. In study 1 we gathered validity evidence based on test content by asking a panel of experts to rate the clarity and relevance of items. Study 2 examined the psychometric properties of the QAEP, including confirmatory factor analysis with cross-validation to test the factor structure of the questionnaire, as well as item and reliability analysis. The results from study 1 showed that the experts considered the items to be clearly worded and relevant in terms of their content. The results from study 2 showed a factor structure consistent with the underlying dimensions, as well as configural and metric invariance across groups. The item analysis and internal consistency for scores on each factor and for total scores were also satisfactory. The scores obtained on the QAEP provide teachers with direct student feedback and highlight those aspects that need to be enhanced in order to improve the teaching/learning process.

Psychometric properties of a short form of the Adolescent Stress Questionnaire (ASQ-14).

BACKGROUND: Exposure to minor stressors is related to a range of emotional and behavioral problems in adolescents. The purpose of this study was to develop a screening instrument for assessing adolescent stressors. METHOD: The Adolescent Stress Questionnaire (ASQ-14) was tested on a sample of 561 adolescents aged between 12 and 18. We report validity evidence based on its internal structure (confirmatory factor analysis) and on relationships between ASQ-14 scores and other variables (correlational analysis), as well as an estimation of score reliability and differences by sex and stage of adolescence. RESULTS: CFA indicated a one-factor structure with a total score representing a measure of cumulative minor stressors. This structure showed an adequate fit across all age groups (early, middle, and late adolescence). Values of internal consistency (.85) and test-retest reliability (.81) were also satisfactory. Validity evidence based on relationships with other variables showed positive relations with stress manifestations, anxiety, depression, and emotional and behavioral problems, and a negative association with life satisfaction. Finally, girls scored higher than boys, and stress scores increased across stages of adolescence. CONCLUSIONS: These results support the psychometric adequacy of the ASQ-14 and its use as a time-efficient tool in educational, clinical, and research studies.

Psychometric properties of the Connor-Davidson Resilience Scale in women with breast cancer / Propiedades psicométricas de la Escala de Resiliencia de Connor-Davidson en mujeres con cáncer de mama

BACKGROUND/OBJECTIVE: The aim was to analyse the psychometric properties of the 10-item version of the Connor-Davidson Resilience Scale (CD-RISC 10©) in breast cancer patients. METHOD: A sample of 169 Spanish women who had undergone surgery for breast cancer completed the CD-RISC 10©, along with questionnaires assessing life satisfaction, emotional intelligence, self-esteem, and positive and negative affect. RESULTS: Confirmatory Factor Analysis supported a single-factor structure with adequate fit indices. Reliability was analysed by calculating McDonald's omega coefficient, which yielded a value of .83. Validity evidence based on relationships with other variables was provided by positive and significant correlations between scores on the CD-RISC 10© and scores on emotional intelligence (clarity and repair), life satisfaction, self-esteem and positive affect, and by a negative and significant correlation with negative affect. The majority of these correlations were above |.50|. CONCLUSIONS: The CD-RISC 10© has satisfactory psychometric properties and is a suitable tool for measuring resilience in patients with cancer. The instrument is quick and easy to apply and may be used in both clinical and research contexts

ANTECEDENTES/OBJETIVO: El objetivo de este estudio fue analizar las propiedades psicométricas de la versión de 10 ítems de la Escala de Resiliencia Connor-Davidson (CD-RISC 10©) en pacientes con cáncer de mama. MÉTODO: Una muestra de 169 mujeres españolas que se habían sometido a cirugía por cáncer de mama completaron el CD-RISC 10©, junto con cuestionarios que evaluaban la satisfacción vital, inteligencia emocional, autoestima, y afecto positivo y negativo. RESULTADOS: El análisis factorial confirmatorio apoyó una estructura unifactorial con índices de ajuste adecuados. La fiabilidad se analizó calculando el coeficiente omega de McDonald que arrojó un valor de 0,83. Fue proporcionada evidencia de validez de relación con otras variables mediante correlaciones positivas y significativas entre las puntuaciones en el CD-RISC 10© y las puntuaciones en inteligencia emocional (claridad y reparación), satisfacción vital, autoestima y afecto positivo, y por una correlación negativa y significativa con afecto negativo. La mayoría de estas correlaciones estaban por encima de 50|0,50|. CONCLUSIONES: El CD-RISC 10© tiene propiedades psicométricas satisfactorias, siendo una herramienta adecuada para medir la resiliencia en pacientes con cáncer. El instrumento es rápido y fácil de aplicar y puede usarse tanto en contextos clínicos como de investigación

Psychometric properties of the Connor-Davidson Resilience Scale in women with breast cancer.

The aim was to analyse the psychometric properties of the 10-item version of the Connor-Davidson Resilience Scale (CD-RISC 10©) in breast cancer patients. METHOD: A sample of 169 Spanish women who had undergone surgery for breast cancer completed the CD-RISC 10©, along with questionnaires assessing life satisfaction, emotional intelligence, self-esteem, and positive and negative affect. RESULTS: Confirmatory Factor Analysis supported a single-factor structure with adequate fit indices. Reliability was analysed by calculating McDonald's omega coefficient, which yielded a value of .83. Validity evidence based on relationships with other variables was provided by positive and significant correlations between scores on the CD-RISC 10© and scores on emotional intelligence (clarity and repair), life satisfaction, self-esteem and positive affect, and by a negative and significant correlation with negative affect. The majority of these correlations were above |.50|. CONCLUSIONS: The CD-RISC 10© has satisfactory psychometric properties and is a suitable tool for measuring resilience in patients with cancer. The instrument is quick and easy to apply and may be used in both clinical and research contexts.

ANTECEDENTES/OBJETIVO: El objetivo de este estudio fue analizar las propiedades psicométricas de la versión de 10 ítems de la Escala de Resiliencia Connor-Davidson (CD-RISC 10©) en pacientes con cáncer de mama. Método: Una muestra de 169 mujeres españolas que se habían sometido a cirugía por cáncer de mama completaron el CD-RISC 10©, junto con cuestionarios que evaluaban la satisfacción vital, inteligencia emocional, autoestima, y afecto positivo y negativo. Resultados: El análisis factorial confirmatorio apoyó una estructura unifactorial con índices de ajuste adecuados. La fiabilidad se analizó calculando el coeficiente omega de McDonald que arrojó un valor de 0,83. Fue proporcionada evidencia de validez de relación con otras variables mediante correlaciones positivas y significativas entre las puntuaciones en el CD-RISC 10© y las puntuaciones en inteligencia emocional (claridad y reparación), satisfacción vital, autoestima y afecto positivo, y por una correlación negativa y significativa con afecto negativo. La mayoría de estas correlaciones estaban por encima de 50|0,50|. Conclusiones: El CD-RISC 10© tiene propiedades psicométricas satisfactorias, siendo una herramienta adecuada para medir la resiliencia en pacientes con cáncer. El instrumento es rápido y fácil de aplicar y puede usarse tanto en contextos clínicos como de investigación.

Effect of variance ratio on ANOVA robustness: Might 1.5 be the limit?

Inconsistencies in the research findings on F-test robustness to variance heterogeneity could be related to the lack of a standard criterion to assess robustness or to the different measures used to quantify heterogeneity. In the present paper we use Monte Carlo simulation to systematically examine the Type I error rate of F-test under heterogeneity. One-way, balanced, and unbalanced designs with monotonic patterns of variance were considered. Variance ratio (VR) was used as a measure of heterogeneity (1.5, 1.6, 1.7, 1.8, 2, 3, 5, and 9), the coefficient of sample size variation as a measure of inequality between group sizes (0.16, 0.33, and 0.50), and the correlation between variance and group size as an indicator of the pairing between them (1, .50, 0, -.50, and -1). Overall, the results suggest that in terms of Type I error a VR above 1.5 may be established as a rule of thumb for considering a potential threat to F-test robustness under heterogeneity with unequal sample sizes.

Current Practices in Data Analysis Procedures in Psychology: What Has Changed?

This paper analyzes current practices in psychology in the use of research methods and data analysis procedures (DAP) and aims to determine whether researchers are now using more sophisticated and advanced DAP than were employed previously. We reviewed empirical research published recently in prominent journals from the USA and Europe corresponding to the main psychological categories of Journal Citation Reports and examined research methods, number of studies, number and type of DAP, and statistical package. The 288 papers reviewed used 663 different DAP. Experimental and correlational studies were the most prevalent, depending on the specific field of psychology. Two-thirds of the papers reported a single study, although those in journals with an experimental focus typically described more. The papers mainly used parametric tests for comparison and statistical techniques for analyzing relationships among variables. Regarding the former, the most frequently used procedure was ANOVA, with mixed factorial ANOVA being the most prevalent. A decline in the use of non-parametric analysis was observed in relation to previous research. Relationships among variables were most commonly examined using regression models, with hierarchical regression and mediation analysis being the most prevalent procedures. There was also a decline in the use of stepwise regression and an increase in the use of structural equation modeling, confirmatory factor analysis, and hierarchical linear modeling. Overall, the results show that recent empirical studies published in journals belonging to the main areas of psychology are employing more varied and advanced statistical techniques of greater computational complexity.

Non-Normal data: Isa nova still a valid option? / Datos no normales: ¿es el ANOVA una opción válida?

Background: The robustness of F-test to non-normality has been studied from the 1930s through to the present day. However, this extensive body of research has yielded contradictory results, there being evidence both for and against its robustness. This study provides a systematic examination of F-test robustness to violations of normality in terms of Type I error, considering a wide variety of distributions commonly found in the health and social sciences. Method: We conducted a Monte Carlo simulation study involving a design with three groups and several known and unknown distributions. The manipulated variables were: Equal and unequal group sample sizes; group sample size and total sample size; coefficient of sample size variation; shape of the distribution and equal or unequal shapes of the group distributions; and pairing of group size with the degree of contamination in the distribution. Results: The results showed that in terms of Type I error the F-test was robust in 100% of the cases studied, independently of the manipulated conditions (AU)

Antecedentes: las consecuencias de la violación de la normalidad sobre la robustez del estadístico F han sido estudiadas desde 1930 y siguen siendo de interés en la actualidad. Sin embargo, aunque la investigación ha sido extensa, los resultados son contradictorios, encontrándose evidencia a favor y en contra de su robustez. El presente estudio presenta un análisis sistemático de la robustez del estadístico F en términos de error de Tipo I ante violaciones de la normalidad, considerando una amplia variedad de distribuciones frecuentemente encontradas en ciencias sociales y de la salud. Método: se ha realizado un estudio de simulación Monte Carlo considerando un diseño de tres grupos y diferentes distribuciones conocidas y no conocidas. Las variables manipuladas han sido: igualdad o desigualdad del tamaño de los grupos, tamaño muestral total y de los grupos; coeficiente de variación del tamaño muestral; forma de la distribución e igualdad o desigualdad de la forma en los grupos; y emparejamiento entre el tamaño muestral con el grado de contaminación en la distribución. Resultados: los resultados muestran que el estadístico F es robusto en términos de error de Tipo I en el 100% de los casos estudiados, independientemente de las condiciones manipuladas (AU)

Non-normal data: Is ANOVA still a valid option?

BACKGROUND: The robustness of F-test to non-normality has been studied from the 1930s through to the present day. However, this extensive body of research has yielded contradictory results, there being evidence both for and against its robustness. This study provides a systematic examination of F-test robustness to violations of normality in terms of Type I error, considering a wide variety of distributions commonly found in the health and social sciences. METHOD: We conducted a Monte Carlo simulation study involving a design with three groups and several known and unknown distributions. The manipulated variables were: Equal and unequal group sample sizes; group sample size and total sample size; coefficient of sample size variation; shape of the distribution and equal or unequal shapes of the group distributions; and pairing of group size with the degree of contamination in the distribution. RESULTS: The results showed that in terms of Type I error the F-test was robust in 100% of the cases studied, independently of the manipulated conditions.