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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Journal Article•
7 citations
Dissertation•
01 Nov 2015
7 citations
Cites background from "Principles Underlying the Use of Mu..."
...De Los Reyes, A., Thomas, S. A., Goodman, K. L., & Kundey, S. M. (2013)....
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...63 Attrition and Data Loss .............................................................................................. 64 Data Analyses ..................................................................................................................
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...With research suggesting multiple informants often are in disagreement with each other (De Los Reyes, Thomas, Goodman, & Kundey, 2013), I sought to investigate how parent- and adolescent self-reports differed and thus make an informed decision as to which report to interpret....
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...Additionally, research cautions against drawing strong inferences from multiple informants, which are often in disagreement with each other (De Los Reyes et al., 2013)....
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...Attrition and Data Loss Attrition in the present study does not reflect retention within the MMA program at Integra....
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TL;DR: Investigation of the agreement between symptom ratings and structured diagnostic interview and between children and parents’ symptom reporting showed that the inter-method agreement to identify high levels of anxiety and depression was moderate to perfect in children while it was lower in parents.
Abstract: Psychological functioning can be adversely impacted after a mild traumatic brain injury (mTBI) and may be a potential target for intervention. Despite the use of symptom ratings or structured diagnostic interview to assess long-term anxiety and depression symptoms in children and adolescents post-injury, no known studies have considered the agreement between different assessment methods and between respondents. The objectives of this study were to investigate the agreement between symptom ratings and structured diagnostic interview and between children and parents' symptom reporting. Participants (N = 33; 9-18 years old) were recruited from the Emergency Department and assessed on average 22.8 months (SD = 5.6) after their mTBI. Anxiety and depression symptoms were evaluated via subscales of a questionnaire (Behavior Assessment System for Children) and parts of a computerized structured diagnostic interview (generalized anxiety disorder and major depressive episode; Diagnostic Interview Schedule for Children - C-DISC-IV) administered individually to children and their parents. Results showed that the inter-method agreement to identify high levels of anxiety and depression was moderate to perfect in children while it was lower in parents. Although a similar percentage of participants with elevated anxiety or depression were identified by both children and parents, the agreement between youth and parents was variable, ranging from poor to good for anxiety and poor to moderate for depression. These results highlight the importance of collecting youth and parents' reports of anxiety and depression symptoms and considering potential discrepancies between informants' answers.
7 citations
TL;DR: The Adjustment Scales for Children and Adolescents (ASCA) as mentioned in this paper ) is a 156-item teacher rating scale that measures sociobehavioral adjustment.
Abstract: Given relevant cultural distinctions across nations, it is important to determine the dimensional structure and normative characteristics of psychological assessment devices in each focal population. This article examines the national standardization and validation of the Adjustment Scales for Children and Adolescents (ASCA) with a nationally representative sample of Trinidad and Tobago schoolchildren (N = 900). ASCA is a 156-item teacher rating scale that measures sociobehavioral adjustment. Results from exploratory and confirmatory analyses yielded the same Overactivity and Underactivity dimensions observed in international samples. The dimensions were scaled using IRT and Bayesian scoring, with scores evincing expected moderate to strong relationships with other teacher observations and weaker relationships with parent observations and reading achievement. Population performance trends are explored and implications are discussed.
7 citations
TL;DR: Parents’ and children’s perceptions of parenting were related to parents’ depressive symptoms and to parenting self-efficacy, and factor analyses revealed the existence of two factors in both the child and parent forms, and showed strong congruence across the two forms.
Abstract: Understanding parenting from both parent and child perspectives is critical to child clinical and developmental research. Similarities and differences between parents' and children's reports can be highly informative, but only if they derive from psychometrically sound measures that assess the same parenting constructs. We examined the psychometric properties of the child and parent forms of the Parenting Perception Inventory (Bruce et al., 2006), which measures perceptions of two higher-order dimensions: positive, warm, supportive parenting; and negative, harsh, critical parenting. Data from a four-wave, longitudinal study of community children and adolescents (n = 876, Mage = 9.5 at the beginning), and data from a study of children (n = 131, Mage = 9.35) of depressed and nondepressed mothers provided psychometric support for both measures. Factor analyses revealed the existence of two factors in both the child and parent forms, and showed strong congruence across the two forms. Other analyses examined longitudinal structure, item difficulty, item discriminations, and scale coverage of the child form. Parents' and children's perceptions of parenting were related to children's affect, emotionality, and depressive symptoms. Parents' perceptions of parenting were related to parents' depressive symptoms and to parenting self-efficacy. (PsycINFO Database Record
7 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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