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Dive into the research topics where Jeff Laurent is active.

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Featured researches published by Jeff Laurent.


Psychological Assessment | 1999

A measure of positive and negative affect for children: Scale development and preliminary validation.

Jeff Laurent; Salvatore J. Catanzaro; Thomas E. Joiner; Karen D. Rudolph; Kirsten I. Potter; Sharon Lambert; Lori N. Osborne; Tamara Gathright

A child version of the Positive and Negative Affect Schedule (PANAS: D. Watson, L. A. Clark, & A. Tellegen, 1988), the PANAS-C, was developed using students in Grades 4-8 (N = 707). Item selection was based on psychometric and theoretical grounds. The resulting Negative Affect (NA) and Positive Affect (PA) scales demonstrated good convergent and discriminant validity with existing self-report measures of childhood anxiety and depression; the PANAS-C performed much like its adult namesake. Overall, the PANAS-C, like the adult PANAS, is a brief, useful measure that can be used to differentiate anxiety from depression in youngsters. As such, this instrument addresses the shortcomings of existing measures of childhood anxiety and depression.


Journal of Abnormal Psychology | 1996

Tripartite structure of positive and negative affect, depression, and anxiety in child and adolescent psychiatric inpatients

Thomas E. Joiner; Salvatore J. Catanzaro; Jeff Laurent

The tripartite model of depression and anxiety suggests that depression and anxiety have shared (generalized negative affect) and specific (anhedonia and physiological hyperarousal) components. In one of the 1st studies to examine the structure of mood-related symptoms in youngsters, this model was tested among 116 child and adolescent psychiatric inpatients, ages 8-16 (M = 12.46; SD = 2.33). Consistent with the tripartite model, a 3-factor (Depression, Anxiety, and Negative Affect) model represented the observed data well. Follow-up analyses suggested that a nonhierarchical arrangement of the 3 factors may be preferable to a hierarchical one.


Journal of Clinical Child Psychology | 2001

Joint Factor Analysis of the Children's Depression Inventory and the Revised Children's Manifest Anxiety Scale

Kevin D. Stark; Jeff Laurent

Used a joint factor analysis with the Childrens Depression Inventory (CDI; Kovacs, 1980/81, 1992) and Revised Childrens Manifest Anxiety Scale (RCMAS; C. R. Reynolds & Richmond, 1978, 1985) to identify items that uniquely measured depression and anxiety. Data from 750 youngsters in Grades 4 through 7 were analyzed using principal-axis factoring with an oblique rotation. Salient factors were identified using guidelines provide by Gorsuch (1997). Item overlap and the large negative affectivity component across instruments were evident. Items that overlapped or had nonsalient loadings were eliminated. The sample was randomly split into 2 groups of 375 and analyses were repeated. Results indicated that a unique 9-item depression factor composed largely of items representing a negative view of oneself existed. In addition, a unique 7-item anxiety factor emerged that consisted of items reflecting worry. The validity of these abbreviated scales was explored using a separate sample of 131 students in Grades 4 through 9. The abbreviated scales were correlated with scales of positive and negative affect consistent with predictions. Findings suggest exploring alternative scoring strategies for the CDI and RCMAS to eliminate problems associated with overlapping items.


Clinical Child and Family Psychology Review | 2001

An examination of the tripartite model of anxiety and depression and its application to youth.

Jeff Laurent; Rebecca Ettelson

The ability to differentiate anxiety and depression has been a topic of discussion in the adult and youth literatures for several decades. The tripartite model of anxiety and depression proposed by L. A. Clark and D. Watson (1991) has helped focus the discussion. In the tripartite model, anxiety is characterized by elevated levels of physiological hyperarousal (PH), depression is characterized by low levels of positive affect (PA), and negative affect (NA) or generalized emotional distress is common to both. The advent of the model led to the development of measures of tripartite constructs and subsequent validity studies. The tripartite model and resultant activity concerning the model was largely devoted to adult samples. However, those interested in anxiety and depression among youth are now incorporating the tripartite model in their work. This paper examines the current influence of the tripartite model in the youth literature, especially with regard to measuring anxiety and depression.


Journal of Consulting and Clinical Psychology | 1993

Cognitive, Behavioral, and Family Factors in the Differentiation of Depressive and Anxiety Disorders During Childhood

Kevin D. Stark; Laura Lynn Humphrey; Jeff Laurent; Ronnie Livingston; John Christopher

Contribution of cognitive, behavioral, and family environment variables to the differentiation of depressive and anxiety disorders in children was explored. Fifty-nine children from Grades 4-7 (14 diagnosed with a depressive disorder, 16 diagnosed with depressive and anxiety disorders, 11 diagnosed with an anxiety disorder, and 18 nondisturbed controls) completed measures of the depressive cognitive triad, depressive cognitions, social skills, family environment, and maladaptive family messages. Results of a stepwise discriminant function analysis indicated that 2 discriminant functions composed of 7 variables from the cognitive, behavioral, and family environment domains accounted for 91% of the between-groups variance. Results suggest that depressive disorders can be distinguished from anxiety disorders on the basis of ratings of cognition, social skills, and family environment. Implications for existing research and a model of depression during childhood are discussed.


Journal of Abnormal Child Psychology | 2002

Anxiety Sensitivity as a Specific and Unique Marker of Anxious Symptoms in Youth Psychiatric Inpatients

Thomas E. Joiner; Norman B. Schmidt; Kristen L. Schmidt; Jeff Laurent; Salvatore J. Catanzaro; Marisol Perez; Jeremy W. Pettit

We addressed several questions regarding the relation of anxiety sensitivity to anxious symptoms among 47 youth psychiatric inpatients (18 boys, 29 girls), ages 9–17 (M = 14.23, SD = 1.89). Participants completed measures of anxiety sensitivity, anxious and depressive symptoms, trait anxiety, and positive and negative affect; chart diagnoses were available. Consistent with hypotheses, we found that (a) anxiety sensitivity was associated with anxious symptoms, even controlling for trait anxiety and depressive symptoms; and (b) anxiety sensitivity displayed symptom specificity to anxious versus depressive symptoms (i.e., was associated with anxiety controlling for depression but not with depression controlling for anxiety). Furthermore, regarding factors of anxiety sensitivity, we obtained mixed support for our prediction that phrenophobia would be associated with both depression and anxiety, whereas fear of physical arousal would be associated with anxiety but not depression. Implications for the construct validity of anxiety sensitivity were discussed.


Psychological Assessment | 2004

Development and preliminary validation of the physiological hyperarousal scale for children.

Jeff Laurent; Salvatore J. Catanzaro; Thomas E. Joiner

Considerable empirical support exists for the positive affect and negative affect components of the tripartite model of anxiety and depression proposed by L. A. Clark and D. Watson (1991); however, less attention has been paid to the physiological hyperarousal component of the model. The development of the Physiological Hyperarousal Scale for Children (PH-C; J. Laurent, S. J. Catanzaro, & T. E. Joiner Jr., 1995) is described. The psychometric properties of items are examined using students in Grades 6-12 (N = 398). Initial scale validation includes a joint factor analysis with the Positive and Negative Affect Scale for Children (PANAS-C; J. Laurent et al., 1999; J. Laurent, K. Potter, & S. J. Catanzaro, 1994). The relationship between the PH-C and existing measures that tap related constructs is examined. Together, the PH-C and PANAS-C provide a means to assess tripartite model constructs useful in differentiating anxiety and depression.


Journal of Personality Assessment | 2001

Cross-cultural examination of the tripartite model with children: data from the Barretstown studies.

Gemma Kiernan; Jeff Laurent; Thomas E. Joiner; Salvatore J. Catanzaro; Malcolm MacLachlan

The Positive and Negative Affect Scale for Children (PANAS-C; Laurent et al., 1999) and the Physiological Hyperarousal Scale for Children (PH-C; Laurent, Catanzaro, & Joiner, 1998) were administered to a group of 240 children from European countries to determine their utility in examining the tripartite model of anxiety and depression (L. A. Clark & Watson, 1991) in a cross-cultural sample. Most of the children (n = 196) had been diagnosed with a medical illness; the remainder were siblings of these youngsters (n = 44). Only slight variations were noted in items between this sample and samples from the United States. Despite these minor differences, 3 distinct scales measuring the positive affect, negative affect, and physiological hyperarousal constructs of the tripartite model were identified. These findings illustrate that the PH-PANAS-C provides a useful measure of the tripartite model in a cross-cultural sample of youth. The findings also demonstrate that the tripartite model is generalizable to a cross-cultural milieu.


Journal of Anxiety Disorders | 1998

Factor structure of a measure of anxiety sensitivity in children

Jeff Laurent; Norman B. Schmidt; Salvatore J. Catanzaro; Thomas E. Joiner; Ann M. Kelley

Anxiety sensitivity (i.e., the disposition to react to autonomic arousal with fear) has taken a central role in recent conceptualizations of anxiety. However, questions regarding the dimensional nature of anxiety sensitivity remain. In particular, the factor structure of anxiety sensitivity is unexplored in nonadult populations. The factor structure of the Anxiety Sensitivity Index for Children (ASIC) was examined in three studies. Study 1 (N = 95) used a sample of school children in Grades 4-8 to investigate the reliability of items and factor structure. Items with weak psychometric properties were eliminated, and subsequent analyses revealed that the ASIC was best viewed as a hierarchical scale with a higher order factor (Anxiety Sensitivity) and two first-order factors (Fear of Physiological Arousal and Fear of Mental Catastrophe). Study 2 (N = 112) and Study 3 (N = 144) used more distressed samples of youngsters, and they also found the ASIC to be a hierarchical scale. These findings add a developmental perspective to the Anxiety Sensitivity Index factor analytic discussion and are highly consistent with emergent thinking in the adult anxiety sensitivity literature.


Journal of Emotional and Behavioral Disorders | 1993

The Assessment of Depression in Children Are We Assessing Depression or the Broad-Band Construct of Negative Affectivity?

Kevin D. Stark; Nadine J. Kaslow; Jeff Laurent

Evaluation of the overlap in symptomatology of depressed, anxious, and depressed and anxious children is described. Fifty-nine children from grades 4 through 7, including 14 who received a DSM-III-R diagnosis of a depressive disorder, 11 with a diagnosis of an anxiety disorder, 16 with a comorbid depressive and anxiety disorder, and 18 nondisturbed controls, completed the Childrens Depression Inventory, Revised Childrens Manifest Anxiety Scale, Hopelessness Scale for Children, and Coopersmith Self-Esteem Inventory. Diagnoses were determined by the childrens responses to a well-respected semi-structured clinical interview. Results indicated that all three diagnostic groups differed significantly from the non-disturbed controls across all of the self-report paper-and-pencil measures. However, in general, the three diagnostic groups could not be differentiated based on their responses to these measures. Implications for the negative affectivity hypothesis and future research are discussed.

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Kevin D. Stark

University of Texas at Austin

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Colin R. Harbke

Western Illinois University

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Bonifacio Sandín

National University of Distance Education

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Aaron Roome

Western Illinois University

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