Principles Underlying the Use of Multiple Informants' Reports
TL;DR: In this review, the authors advance a framework (Operations Triad Model) outlining general principles for using and interpreting informants' reports and provide supportive evidence for this framework and discuss its implications for hypothesis testing, study design, and quantitative review.
Abstract: Researchers use multiple informants' reports to assess and examine behavior. However, informants' reports commonly disagree. Informants' reports often disagree in their perceived levels of a behavior (“low” versus “elevated” mood), and examining multiple reports in a single study often results in inconsistent findings. Although researchers often espouse taking a multi-informant assessment approach, they frequently address informant discrepancies using techniques that treat discrepancies as measurement error. Yet, recent work indicates that researchers in a variety of fields often may be unable to justify treating informant discrepancies as measurement error. In this review, the authors advance a framework (Operations Triad Model) outlining general principles for using and interpreting informants' reports. Using the framework, researchers can test whether or not they can extract meaningful information about behavior from discrepancies among multiple informants' reports. The authors provide supportive evide...
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TL;DR: Attention bias toward threat may strengthen the effects of family violence on the development of anxiety, with potentially cascading effects across childhood.
Abstract: BACKGROUND: Attention bias toward threat is associated with anxiety in older youth and adults and has been linked with violence exposure. Attention bias may moderate the relationship between violence exposure and anxiety in young children. Capitalizing on measurement advances, this study examines these relationships at a younger age than previously possible. METHODS: Young children (mean age 4.7, ±0.8) from a cross-sectional sample oversampled for violence exposure (N = 218) completed the dot-probe task to assess their attention biases. Observed fear/anxiety was characterized with a novel observational paradigm, the Anxiety Dimensional Observation Scale. Mother-reported symptoms were assessed with the Preschool Age Psychiatric Assessment and Trauma Symptom Checklist for Young Children. Violence exposure was characterized with dimensional scores reflecting probability of membership in two classes derived via latent class analysis from the Conflict Tactics Scales: Abuse and Harsh Parenting. RESULTS: Family violence predicted greater child anxiety and trauma symptoms. Attention bias moderated the relationship between violence and anxiety. CONCLUSIONS: Attention bias toward threat may strengthen the effects of family violence on the development of anxiety, with potentially cascading effects across childhood. Such associations maybe most readily detected when using observational measures of childhood anxiety. Language: en
103 citations
TL;DR: For example, this paper found that higher levels of gratitude and meaning in life each predicted decreases in depression over 3 and 6 months, respectively, over the same period of time, but not over 6 months.
Abstract: Decades of research have shown that positive life events contribute to the remission and recovery of depression; however, it is unclear how positive life events are generated. In this study, we sought to understand if personality strengths could predict positive life events that aid in the alleviation of depression. We tested a longitudinal mediation model where gratitude and meaning in life lead to increased positive life events and, in turn, decreased depression. The sample consisted of 797 adult participants from 43 different countries who completed online surveys at five timepoints. Higher levels of gratitude and meaning in life each predicted decreases in depression over 3 and 6 months time. Increases in positive life events mediated the effects of these personality strengths on depression over 3 months; however, not over 6 months. Goal pursuit and positive emotions are theorized to be the driving forces behind gratitude and meaning in life’s effects on positive life events. We used the hedonic treadmill to interpret the short-term impact of positive life events on depression. Our findings suggest the potential for gratitude and meaning in life interventions to facilitate depression remission.
86 citations
Temple University1, University of California, Los Angeles2, NewYork–Presbyterian Hospital3, Columbia University4, National Institutes of Health5, University of Pittsburgh6, Johns Hopkins University7, Johns Hopkins University School of Medicine8, Philadelphia College of Osteopathic Medicine9, Duke University10
TL;DR: The Social Anxiety and Separation/Panic subscales were found to be significantly predictive of the presence and severity of social phobia and separation anxiety disorder, respectively and using multiple informants improved the accuracy of prediction.
Abstract: The present study examined the psychometric properties, including discriminant validity and clinical utility, of the youth self-report and parent-report forms of the Multidimensional Anxiety Scale for Children (MASC) among youth with anxiety disorders. The sample included parents and youth (N = 488, 49.6% male) ages 7 to 17 who participated in the Child/Adolescent Anxiety Multimodal Study. Although the typical low agreement between parent and youth self-reports was found, the MASC evidenced good internal reliability across MASC subscales and informants. The main MASC subscales (i.e., Physical Symptoms, Harm Avoidance, Social Anxiety, and Separation/Panic) were examined. The Social Anxiety and Separation/Panic subscales were found to be significantly predictive of the presence and severity of social phobia and separation anxiety disorder, respectively. Using multiple informants improved the accuracy of prediction. The MASC subscales demonstrated good psychometric properties and clinical utilities in identi...
85 citations
TL;DR: The authors applied multi-level analysis to student reports of effective teacher-student interactions in 50 upper elementary school classrooms (N = 594 fourth and fifth-grade students) and found that teacherstudent interactions fall into three domains: emotional support, classroom organization and instructional support.
Abstract: This study applies multi-level analysis to student reports of effective teacher-student interactions in 50 upper elementary school classrooms (N = 594 fourth- and fifth-grade students). Observational studies suggest that teacher-student interactions fall into three domains: Emotional Support, Classroom Organization, and Instructional Support. Results of multi-level confirmatory factor analyses indicated that a three-factor model fits between- and within-classroom variability in students’ reports reasonably well. Multi-level regressions provide some evidence of criterion validity, with student reports at the classroom level related to parallel observations. Both classroom- and student-level student report data were associated with students’ reading proficiency and disciplinary referrals. Findings are discussed in terms of implications for future research on student reports of classroom interactions and their practical utility in teacher evaluation and feedback systems.
84 citations
TL;DR: The findings underline the importance of controlling for a number of sociodemographic and parental variables when conducting international comparisons of child mental health and suggest that efforts are needed locally to assist in the detection and prevention of parental psychological distress.
Abstract: Worldwide, approximately one in eight children or adolescents suffer from a mental disorder. The present study was designed to determine the cross-national prevalence of mental health problems in children aged 6–11 across seven European countries including Italy, Germany, the Netherlands, Lithuania, Bulgaria, Romania, and Turkey. Data were collected on 7682 children for whom either parent- or teacher SDQ were completed. The present study provides country-specific normative banding for both parent- and teacher SDQ scores. Overall, 12.8 % of children have any probable disorder, with rates ranging from 15.5 % in Lithuania to 7.8 % in Italy, 3.8 % of children have a probable emotional disorder, 8.4 % probable conduct disorder, and 2.0 % probable hyperactivity/inattention. However, when adjusting for key sociodemographic variables and parental psychological distress, country of residence did not predict the odds of having any disorder. For specific disorders, however, country of residence does have an effect on the odds of presenting with mental health problems. As normative data are key in the comparison of mental health status on an international level, the present data considerably advance the possibilities of future research. Furthermore, the findings underline the importance of controlling for a number of sociodemographic and parental variables when conducting international comparisons of child mental health. In addition, the findings suggest that efforts are needed locally to assist in the detection and prevention of parental psychological distress.
73 citations
References
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11 Jun 2013
113,134 citations
Book•
01 Jan 1983
TL;DR: In this Section: 1. Multivariate Statistics: Why? and 2. A Guide to Statistical Techniques: Using the Book Research Questions and Associated Techniques.
Abstract: In this Section: 1. Brief Table of Contents 2. Full Table of Contents 1. BRIEF TABLE OF CONTENTS Chapter 1 Introduction Chapter 2 A Guide to Statistical Techniques: Using the Book Chapter 3 Review of Univariate and Bivariate Statistics Chapter 4 Cleaning Up Your Act: Screening Data Prior to Analysis Chapter 5 Multiple Regression Chapter 6 Analysis of Covariance Chapter 7 Multivariate Analysis of Variance and Covariance Chapter 8 Profile Analysis: The Multivariate Approach to Repeated Measures Chapter 9 Discriminant Analysis Chapter 10 Logistic Regression Chapter 11 Survival/Failure Analysis Chapter 12 Canonical Correlation Chapter 13 Principal Components and Factor Analysis Chapter 14 Structural Equation Modeling Chapter 15 Multilevel Linear Modeling Chapter 16 Multiway Frequency Analysis 2. FULL TABLE OF CONTENTS Chapter 1: Introduction Multivariate Statistics: Why? Some Useful Definitions Linear Combinations of Variables Number and Nature of Variables to Include Statistical Power Data Appropriate for Multivariate Statistics Organization of the Book Chapter 2: A Guide to Statistical Techniques: Using the Book Research Questions and Associated Techniques Some Further Comparisons A Decision Tree Technique Chapters Preliminary Check of the Data Chapter 3: Review of Univariate and Bivariate Statistics Hypothesis Testing Analysis of Variance Parameter Estimation Effect Size Bivariate Statistics: Correlation and Regression. Chi-Square Analysis Chapter 4: Cleaning Up Your Act: Screening Data Prior to Analysis Important Issues in Data Screening Complete Examples of Data Screening Chapter 5: Multiple Regression General Purpose and Description Kinds of Research Questions Limitations to Regression Analyses Fundamental Equations for Multiple Regression Major Types of Multiple Regression Some Important Issues. Complete Examples of Regression Analysis Comparison of Programs Chapter 6: Analysis of Covariance General Purpose and Description Kinds of Research Questions Limitations to Analysis of Covariance Fundamental Equations for Analysis of Covariance Some Important Issues Complete Example of Analysis of Covariance Comparison of Programs Chapter 7: Multivariate Analysis of Variance and Covariance General Purpose and Description Kinds of Research Questions Limitations to Multivariate Analysis of Variance and Covariance Fundamental Equations for Multivariate Analysis of Variance and Covariance Some Important Issues Complete Examples of Multivariate Analysis of Variance and Covariance Comparison of Programs Chapter 8: Profile Analysis: The Multivariate Approach to Repeated Measures General Purpose and Description Kinds of Research Questions Limitations to Profile Analysis Fundamental Equations for Profile Analysis Some Important Issues Complete Examples of Profile Analysis Comparison of Programs Chapter 9: Discriminant Analysis General Purpose and Description Kinds of Research Questions Limitations to Discriminant Analysis Fundamental Equations for Discriminant Analysis Types of Discriminant Analysis Some Important Issues Comparison of Programs Chapter 10: Logistic Regression General Purpose and Description Kinds of Research Questions Limitations to Logistic Regression Analysis Fundamental Equations for Logistic Regression Types of Logistic Regression Some Important Issues Complete Examples of Logistic Regression Comparison of Programs Chapter 11: Survival/Failure Analysis General Purpose and Description Kinds of Research Questions Limitations to Survival Analysis Fundamental Equations for Survival Analysis Types of Survival Analysis Some Important Issues Complete Example of Survival Analysis Comparison of Programs Chapter 12: Canonical Correlation General Purpose and Description Kinds of Research Questions Limitations Fundamental Equations for Canonical Correlation Some Important Issues Complete Example of Canonical Correlation Comparison of Programs Chapter 13: Principal Components and Factor Analysis General Purpose and Description Kinds of Research Questions Limitations Fundamental Equations for Factor Analysis Major Types of Factor Analysis Some Important Issues Complete Example of FA Comparison of Programs Chapter 14: Structural Equation Modeling General Purpose and Description Kinds of Research Questions Limitations to Structural Equation Modeling Fundamental Equations for Structural Equations Modeling Some Important Issues Complete Examples of Structural Equation Modeling Analysis. Comparison of Programs Chapter 15: Multilevel Linear Modeling General Purpose and Description Kinds of Research Questions Limitations to Multilevel Linear Modeling Fundamental Equations Types of MLM Some Important Issues Complete Example of MLM Comparison of Programs Chapter 16: Multiway Frequency Analysis General Purpose and Description Kinds of Research Questions Limitations to Multiway Frequency Analysis Fundamental Equations for Multiway Frequency Analysis Some Important Issues Complete Example of Multiway Frequency Analysis Comparison of Programs
53,113 citations
TL;DR: This transmutability of the validation matrix argues for the comparisons within the heteromethod block as the most generally relevant validation data, and illustrates the potential interchangeability of trait and method components.
Abstract: Content Memory (Learning Ability) As Comprehension 82 Vocabulary Cs .30 ( ) .23 .31 ( ) .31 .31 .35 ( ) .29 .48 .35 .38 ( ) .30 .40 .47 .58 .48 ( ) As judged against these latter values, comprehension (.48) and vocabulary (.47), but not memory (.31), show some specific validity. This transmutability of the validation matrix argues for the comparisons within the heteromethod block as the most generally relevant validation data, and illustrates the potential interchangeability of trait and method components. Some of the correlations in Chi's (1937) prodigious study of halo effect in ratings are appropriate to a multitrait-multimethod matrix in which each rater might be regarded as representing a different method. While the published report does not make these available in detail because it employs averaged values, it is apparent from a comparison of his Tables IV and VIII that the ratings generally failed to meet the requirement that ratings of the same trait by different raters should correlate higher than ratings of different traits by the same rater. Validity is shown to the extent that of the correlations in the heteromethod block, those in the validity diagonal are higher than the average heteromethod-heterotrait values. A conspicuously unsuccessful multitrait-multimethod matrix is provided by Campbell (1953, 1956) for rating of the leadership behavior of officers by themselves and by their subordinates. Only one of 11 variables (Recognition Behavior) met the requirement of providing a validity diagonal value higher than any of the heterotrait-heteromethod values, that validity being .29. For none of the variables were the validities higher than heterotrait-monomethod values. A study of attitudes toward authority and nonauthority figures by Burwen and Campbell (1957) contains a complex multitrait-multimethod matrix, one symmetrical excerpt from which is shown in Table 6. Method variance was strong for most of the procedures in this study. Where validity was found, it was primarily at the level of validity diagonal values higher than heterotrait-heteromethod values. As illustrated in Table 6, attitude toward father showed this kind of validity, as did attitude toward peers to a lesser degree. Attitude toward boss showed no validity. There was no evidence of a generalized attitude toward authority which would include father and boss, although such values as the VALIDATION BY THE MULTITRAIT-MULTIMETHOD MATRIX
15,795 citations
Book•
01 Jan 1953TL;DR: The psychology classic "Walden Two" as mentioned in this paper is a detailed study of scientific theories of human nature and the possible ways in which human behavior can be predicted and controlled from one of the most influential behaviorists of the twentieth century.
Abstract: The psychology classic-a detailed study of scientific theories of human nature and the possible ways in which human behavior can be predicted and controlled-from one of the most influential behaviorists of the twentieth century and the author of Walden Two. "This is an important book, exceptionally well written, and logically consistent with the basic premise of the unitary nature of science. Many students of society and culture would take violent issue with most of the things that Skinner has to say, but even those who disagree most will find this a stimulating book." -Samuel M. Strong, The American Journal of Sociology "This is a remarkable book-remarkable in that it presents a strong, consistent, and all but exhaustive case for a natural science of human behavior...It ought to be...valuable for those whose preferences lie with, as well as those whose preferences stand against, a behavioristic approach to human activity." -Harry Prosch, Ethics
8,325 citations
"Principles Underlying the Use of Mu..." refers background in this paper
...…which a patient lives may vary as a function of the contingencies (e.g., corporal punishment and praise) that reinforce expressions of her behavior (e.g., Skinner 1953), and as mentioned previously, multiple informants may vary in where they observe a patient’s behavior (e.g., De Los Reyes 2011)....
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TL;DR: Etude de la coherence entre differentes sources (269 echantillons utilisees dans 119 etudes) concernant les evaluations des problemes affectifs et comportementaux d'enfants et d'adolescents âges de 1 1/2 a 19 ans.
Abstract: Etude de la coherence entre differentes sources (269 echantillons utilisees dans 119 etudes) concernant les evaluations des problemes affectifs et comportementaux d'enfants et d'adolescents âges de 1 1/2 a 19 ans
5,254 citations
"Principles Underlying the Use of Mu..." refers background in this paper
...Third, as mentioned previously, low multi-informant correspondence is the norm rather than the exception in assessments of child, adolescent, and adult psychopathology (Achenbach et al. 1987, 2005)....
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...Along these lines, perhaps the investigative team would draw from theory suggesting that parents and teachers provide discrepant reports because they observe children in different contexts or settings (parents at home versus teachers at school; Achenbach et al. 1987, Kraemer et al. 2003)....
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...Achenbach et al. (1987) lucidly reflected this interpretation, in a meta-analysis of correspondence between informants’ reports of child mental health that was published nearly a century after Edgeworth’s (1888) article....
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...However, although multiple informants’ reports typically correspond no higher than low-to-moderate in magnitude (e.g., r’s ranging from 0.20 to 0.40; see Achenbach et al. 1987, 2005), they nonetheless often correspond with each other at statistically significant magnitudes....
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...(e.g., Achenbach et al. 1987, 2005)....
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