Hope in Children

1. Abstract

The Hope in Children measure, classically designated and validated in psychological literature as the Children’s Hope Scale (CHS), is a self-report psychometric instrument designed to assess dispositional hope in children and adolescents aged 8 through 16. Developed by C. R. Snyder and colleagues at the University of Kansas, the instrument operationalizes hope according to Snyder’s cognitive model as a reciprocal, cognitive-motivational construct comprising two distinct but interrelated dimensions: agency (the perceived capacity to initiate and sustain movement along chosen pathways toward goals, or “willpower”) and pathways (the perceived capability to generate workable routes to desired goals, or “waypower”). The CHS consists of six self-report statements, with three items tapping the agency component (Items 1, 3, and 5) and three items tapping the pathways component (Items 2, 4, and 6). To mitigate demand characteristics and evaluation apprehension among youth, the administration protocol disguises the formal title of the assessment under the neutral heading “Questions About Your Goals.”

Responses are recorded on an authentic 6-point Likert-type frequency continuum ranging from 1 (None of the time) to 6 (All of the time), yielding a total composite hope score between 6 and 36, alongside discrete subscale scores ranging from 3 to 18. Psychometric investigations across normative school cohorts, pediatric samples (e.g., youths with asthma, sickle cell disease, cancer, diabetes), and clinical psychiatric groups confirm robust internal consistency (Cronbach’s alpha coefficients typically ranging from .72 to .86 for the full scale), high test-retest reliability across multi-week intervals (r = .71 to .73), and invariant two-factor orthogonal or correlated oblique latent structures via exploratory and confirmatory factor analyses. Convergent validity is evidenced by significant positive correlations with perceived scholastic competence, self-worth, athletic performance, and internal locus of control, whereas discriminant and concurrent validity are supported by inverse relations with depressive symptomatology, trait anxiety, and externalizing behavioral difficulties.

2. Keywords

Children’s Hope Scale, hope theory, agency thinking, pathways thinking, pediatric assessment, positive psychology, child development, cognitive-motivational model, psychological resilience, adolescent well-being, psychometrics

3. Authors

The Children’s Hope Scale was conceived, developed, and empirically validated by a collaborative research team headed by C. R. (Rick) Snyder, Ph.D. (1944–2006), Wright Distinguished Professor of Clinical Psychology at the University of Kansas, Lawrence, Kansas. Snyder was a pioneer in positive psychology, renowned globally for his theoretical articulation and operationalization of hope across the lifespan.

Snyder’s co-investigators in the seminal 1997 development and validation program included:

• Kimberly K. Hoza, Ph.D. — Department of Psychology, University of Kansas.
• William E. Pelham, Jr., Ph.D. — Renowned clinical child psychologist specializing in childhood attention and behavior disorders, formerly affiliated with the University of Pittsburgh and Florida International University.
• Michael A. Rapoff, Ph.D. — Department of Pediatrics, University of Kansas Medical Center, specializing in pediatric behavioral science and adherence in chronic illness.
• Linda Ware, Ph.D. — University of Kansas Medical Center.
• Michelle Danovsky, Ph.D. — Department of Psychology, University of Kansas.
• Lori Highberger, M.A. — University of Kansas.
• Hal Rubin, Ph.D. — University of Kansas.
• Julie Dahlquist, Ph.D. — University of Kansas.

Institutional Origin: Department of Psychology, Fraser Hall, University of Kansas, Lawrence, Kansas, United States.

4. Purpose

The primary purpose of the Children’s Hope Scale is to provide researchers, pediatric psychologists, clinical child practitioners, and educators with a brief, theoretically grounded, psychometrically sound instrument to gauge a child’s dispositional perception that their goals can be attained. Historically, child psychopathology and developmental psychology relied disproportionately on deficit-based assessment tools that indexed anxiety, depression, conduct disturbances, or cognitive deficits. Snyder and colleagues recognized that the absence of distress does not equal the presence of psychological strength, resilience, or active goal-pursuit capabilities. Consequently, the CHS was engineered to capture the positive, goal-directed cognitive appraisals that empower youth to navigate both everyday academic challenges and acute developmental or medical stressors.

From an applied clinical perspective, the CHS serves several critical functions:

• Screening for Vulnerability and Psychological Fragility: Children scoring low on the CHS frequently report a pervasive sense of helplessness, perceive obstacles as insurmountable, and lack either the motivational energy (agency) or the strategic repertoire (pathways) needed to cope with academic failure, peer conflicts, or familial disruption. Identifying such children early allows school counselors and mental health providers to implement targeted, solution-focused cognitive interventions before maladaptive patterns crystalize into clinical depressive disorders or school disengagement.
• Pediatric Coping and Adherence Assessment: The scale is extensively utilized in pediatric medicine to evaluate how children cope with chronic and life-threatening conditions, including juvenile idiopathic arthritis, pediatric oncology, type 1 diabetes, sickle cell disease, and cystic fibrosis. Research consistently demonstrates that higher hope scores correlate with superior medical regimen adherence, lower reported symptom distress, more proactive coping strategies, and higher health-related quality of life.
• Outcome Evaluation in Interventions: Because hope reflects an actionable cognitive mindset rather than an immutable trait, the CHS provides an effective metric for evaluating the efficacy of classroom-based social-emotional learning programs, positive youth development initiatives, cognitive-behavioral therapy (CBT), and pediatric psychosocial interventions designed to foster resilience and goal-oriented behaviors.
• Differentiating Agency versus Pathway Deficits: The structural separation of agency and pathways allows clinicians to pinpoint specific psychological bottlenecks. For example, a child may possess abundant motivational drive (high agency) but lack problem-solving strategies when confronted with obstacles (low pathways), indicating a need for executive function scaffolding and divergent thinking training. Conversely, a child may generate numerous potential solutions (high pathways) but lack the self-efficacy or energy to execute them (low agency), signaling a need for motivational interviewing, cognitive restructuring of defeatist self-talk, and reinforcement of incremental mastery experiences.

5. Psychological Construct

The psychological construct assessed by the CHS is hope, defined within positive psychology not as a passive emotional yearning or optimistic wishful thinking, but as a dynamic cognitive-motivational set based on a reciprocally derived sense of successful (a) agency and (b) pathways. In Snyder’s conceptualization, goals serve as the cognitive targets of mental action sequences and provide the overarching context within which hope operates.

Agency Dimension (Willpower)

The agency dimension reflects the child’s subjective perception of their capacity to initiate, sustain, and invigorate mental energy along chosen pathways toward their goals. Within the CHS, agency is captured by Items 1, 3, and 5:

• Item 1: “I think I am doing pretty well.” This statement measures general self-appraisal of ongoing goal-directed progress and positive self-evaluation.
• Item 3: “I am doing just as well as other kids my age.” This item gauges comparative developmental competence, allowing the child to benchmark their efficacy against age-appropriate social comparisons.
• Item 5: “I think the things I have done in the past will help me in the future.” This item reflects temporal continuity in agency, assessing the child’s belief that historical mastery experiences and past efforts serve as foundational assets for upcoming challenges.

Agency thinking provides the cognitive drive, determination, and stamina necessary to persevere when obstacles impede initial attempts. High-agency youth interpret setbacks as indicators that alternative strategies must be deployed rather than as evidence of personal inadequacy.

Pathways Dimension (Waypower)

The pathways dimension represents the child’s perceived ability to produce plausible, effective cognitive routes toward desired objectives, particularly in the face of impediments or barriers. Within the CHS, pathways thinking is operationalized through Items 2, 4, and 6:

• Item 2: “I can think of many ways to get the things in life that are most important to me.” This statement assesses divergent planning capacity and the perceived availability of multiple trajectories toward primary goals.
• Item 4: “When I have a problem, I can come up with lots of ways to solve it.” This item taps cognitive problem-solving flexibility under problematic circumstances.
• Item 6: “Even when others want to quit, I know that I can find ways to solve the problem.” This item measures persistence coupled with tactical resourcefulness, demonstrating resilience against social contagion of defeatism.

Children with sophisticated pathways thinking do not rely on a singular trajectory; instead, they mentally construct branching roadmaps. If an unanticipated roadblock appears, high-pathways children rapidly reroute without suffering substantial drops in agency.

Construct Differentiation: Hope versus Optimism and Self-Efficacy

It is vital to distinguish hope from closely aligned constructs such as optimism (Scheier & Carver) and self-efficacy (Bandura). Optimism generally involves broad, generalized expectations that good things will happen in the future, often independent of the child’s personal agency or strategic planning. Self-efficacy refers to task-specific beliefs that one can execute the actions required to achieve a particular outcome. Snyder’s construct of hope bridges and expands these concepts by insisting that neither agency (motivation) nor pathways (strategy) is sufficient on its own. Hope requires the iterative, recursive interplay of both components across generalized domains of life.

6. Theoretical Framework

The Children’s Hope Scale is grounded entirely in Snyder’s Hope Theory (Snyder, 1991, 2000, 2002). Hope theory posits that human behavior is inherently goal-directed. Goals are the cognitive engines of human action, providing direction and purpose. According to the theory, goal-directed cognitions occur within an ongoing cognitive feedback loop that contains several key components:

1. Developmental Origins of Hope

According to Snyder (2000), hope begins developing in infancy. The infant first learns the rudiments of pathways thinking through cause-and-effect learning (e.g., crying leads to feeding; reaching leads to grasping an object). This forms the developmental template for temporal and causal contingencies. As the infant acquires object permanence and recognizes that their own actions initiate causal chains, the agency component awakens (e.g., “I can make this happen”). In early childhood, language acquisition, parental scaffolding, emotional security, and structured behavioral reinforcement solidify these agency and pathway linkages. When caregivers provide predictable environments, encourage exploratory problem-solving, and offer emotional warmth during failures, children cultivate robust, generalized trait hope.

2. The Interdependent Cognitive Loop

Hope theory specifies that agency and pathways cognitions operate in an additive, reciprocal, and iterative feedback loop. When a child approaches a goal, pathways cognitions produce potential strategies. As plausible strategies are conceived, agency is energized to pursue them. When the child actively pursues a pathway, perceived progress enhances agency, which in turn stimulates the child to refine existing pathways or anticipate downstream contingencies. Neither component is functionally superior; if pathways are present but agency is absent, the child possesses strategies they never implement. If agency is present but pathways are absent, the child possesses intense motivation that produces aimless frustration when initial efforts are thwarted.

3. The Role of Stress and Obstacles

A central tenet of hope theory is that psychological stress is experienced when goal attainment is threatened or blocked. When a stressor arises, low-hope children interpret the barrier as a terminal failure, experiencing negative emotions (depression, anxiety, anger) that deplete agency and paralyze pathways exploration. In contrast, high-hope children view obstacles as natural challenges embedded in goal pursuit. They experience temporary emotional arousal, but rapidly channel this energy into divergent pathways generation, recalibrating their routes or adjusting intermediate sub-goals without abandoning the overarching objective.

7. Validity

Extensive psychometric investigations have established the validity of the Children’s Hope Scale across diverse normative, multicultural, educational, and clinical populations.

Construct and Structural Validity

In their initial validation studies involving 1,327 school-age children and adolescents, Snyder et al. (1997) evaluated the underlying structural validity of the CHS. Both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) supported the hypothesized two-factor model comprising Agency (Items 1, 3, 5) and Pathways (Items 2, 4, 6). While the two factors correlate substantially (typically r = .50 to .70), demonstrating that they reflect a unified overarching hope construct, two-factor models consistently demonstrate superior fit indices relative to unidimensional models, confirming that agency and pathways represent distinct cognitive facets.

Convergent Validity

Convergent validity has been repeatedly demonstrated across clinical and educational domains:

• Perceived Competence and Self-Worth: Snyder et al. (1997) observed robust positive correlations between the CHS and Harter’s Self-Perception Profile for Children. CHS total scores correlated significantly with Scholastic Competence (r = .44 to .54), Athletic Competence (r = .30 to .38), Social Acceptance (r = .31 to .43), Physical Appearance (r = .32 to .48), and Global Self-Worth (r = .53 to .63).
• Internal Locus of Control: The CHS correlates positively with Nowicki-Strickland Locus of Control scores (r = .38 to .49), indicating that higher-hope children view life outcomes as contingent upon their own efforts rather than external chance or fate.
• Academic Achievement: In longitudinal assessments, higher CHS scores predict standardized achievement test results and grade point averages, even after controlling for baseline intelligence, prior scholastic achievement, and socioeconomic variables.

Discriminant and Criterion-Related Validity

The scale effectively discriminates between children with adaptive psychological functioning and those experiencing affective distress:

• Depressive Symptomatology: CHS total scores correlate negatively with scores on the Children’s Depression Inventory (CDI; r = -.40 to -.58), demonstrating that high hope serves as a robust cognitive buffer against depressive affect and anhedonia.
• Anxiety and Distress: Significant inverse relationships are observed with the Revised Children’s Manifest Anxiety Scale (RCMAS; r = -.35 to -.48) and pediatric disease-related distress measures.
• Clinical Differentiation: Snyder et al. (1997) compared healthy youths to clinical cohorts (including children diagnosed with Attention-Deficit/Hyperactivity Disorder [ADHD] and pediatric burn survivors). As theoretically anticipated, children facing severe chronic physical and behavioral challenges scored significantly lower on baseline hope than healthy controls, while those receiving psychosocial support demonstrated measurable gains in hope over time.

8. Reliability

The reliability of the Children’s Hope Scale has been rigorously assessed across multiple developmental stages and demographic groups, consistently meeting standard psychometric benchmarks for both internal consistency and temporal stability.

Internal Consistency

In the original developmental investigations by Snyder et al. (1997), which spanned six distinct samples totaling over 1,300 youth, the scale demonstrated solid internal consistency:

• Total Scale Alpha: Overall Cronbach’s alpha coefficients across normative samples ranged from .72 to .86 (median alpha = .77).
• Subscale Alpha: The Agency subscale generated Cronbach’s alpha values between .70 and .76, whereas the Pathways subscale produced alphas ranging from .68 to .78. Given that each subscale contains only three items, these coefficients reflect strong item-to-subscale cohesion without problematic item redundancy.
• Pediatric Samples: In pediatric chronic illness groups (e.g., pediatric sickle cell disease, pediatric oncology, asthma), alpha coefficients for the full 6-item scale have demonstrated parallel stability, typically ranging between .75 and .84.

Test-Retest Reliability

Temporal stability was evaluated across multiple test-retest intervals to ensure that the CHS captures a stable dispositional cognitive style rather than transient situational affect:

• Across a one-month interval, Snyder et al. (1997) reported a test-retest stability coefficient of r = .71 to .73 (p < .001) in public school samples.
• Subscale stability was likewise confirmed, with the Agency subscale yielding r = .70 and the Pathways subscale yielding r = .68 across four weeks.
• Longitudinal investigations extending over six-month to one-year intervals demonstrate moderate-to-high stability (r = .55 to .65), characteristic of enduring dispositional personality constructs in youth whose environments and developmental milestones undergo ongoing maturation.

9. Factor Analysis

The structural dimensionality of the CHS has been extensively evaluated using both Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) across international, linguistic, and developmental contexts.

Exploratory Factor Structure

During initial scale development, principal components and principal axis factoring with both orthogonal (Varimax) and oblique (Promax) rotations were performed on normative elementary and middle school samples. The analysis yielded an unmistakable two-factor solution accounting for between 55% and 65% of the total variance across samples. Factor 1 consistently comprised the three Pathways items (Items 2, 4, 6) with factor loadings ranging from .60 to .82, while Factor 2 consistently comprised the three Agency items (Items 1, 3, 5) with loadings ranging from .64 to .84. Cross-loadings were exceptionally low, rarely exceeding .25, providing clean empirical separation between the cognitive-motivational and cognitive-strategic dimensions.

Confirmatory Factor Analysis and Model Fit

Subsequent confirmatory investigations have formally tested competing structural configurations, contrasting a one-factor unidimensional model against a two-factor correlated model and a second-order hierarchical model:

• Unidimensional Model (1 Factor): Collapsing all six items onto a single latent hope dimension yields substandard fit indices (e.g., Comparative Fit Index [CFI] < .90, Root Mean Square Error of Approximation [RMSEA] > .10, Standardized Root Mean Square Residual [SRMR] > .08).
• Two-Factor Correlated Model: Modeling Agency and Pathways as distinct, correlated latent factors provides excellent fit across diverse cohorts: CFI > .96, Tucker-Lewis Index (TLI) > .95, RMSEA < .05 (90% CI [.02, .07]), and SRMR < .04. The correlation between the two latent factors typically spans between .65 and .80.
• Bifactor / Higher-Order Model: A higher-order model featuring a global “Hope” factor that drives the two first-order factors (Agency and Pathways) is mathematically equivalent in fit to the correlated two-factor model with two first-order factors, justifying the clinical practice of interpreting both a Total Hope score and discrete Agency/Pathways subscale scores.

Cross-cultural validations (e.g., in Spanish, Portuguese, Chinese, Turkish, and Korean adaptations) confirm measurement invariance across sex and across child-versus-adolescent age brackets, verifying that the CHS measures identical underlying theoretical constructs across diverse subgroups.

10. Instrument / Measurement Tool

The operational administration details, structure, and scoring procedures for the Children’s Hope Scale are outlined below:

• Formal Tool Name: Children’s Hope Scale (CHS)
• Administration Disguise Title: “Questions About Your Goals” (used during actual administration to prevent social desirability and response bias).
• Target Population: Children and adolescents aged 8 through 16 years (approximate reading grade level: 3rd grade). Can be read aloud by an administrator to younger children or children with reading difficulties.
• Administration Format: Paper-and-pencil self-report or computer-administered interactive digital survey.
• Completion Time: Approximately 2 to 5 minutes.
• Total Number of Items: 6 items.
• Subscales:
  • Agency Subscale: Items 1, 3, and 5 (assesses determination and motivational drive toward goals).
  • Pathways Subscale: Items 2, 4, and 6 (assesses the ability to generate workable plans and overcome obstacles).
• Authentic Response Scale: 6-point Likert-type frequency scale:
  • 1 = None of the time
  • 2 = A little of the time
  • 3 = Some of the time
  • 4 = A lot of the time
  • 5 = Most of the time
  • 6 = All of the time
• Scoring Instructions:
  • All items are positively phrased; there are no reverse-coded items.
  • Agency Score: Sum of Items 1, 3, and 5 (Score range: 3 to 18).
  • Pathways Score: Sum of Items 2, 4, and 6 (Score range: 3 to 18).
  • Total Hope Score: Sum of all 6 items (Score range: 6 to 36). Higher scores reflect greater dispositional hope.
• Normative Reference Ranges: Across normative school populations, mean total scores typically fall between 25.0 and 27.5 (SD ≈ 5.0). Total scores below 20 (more than one standard deviation below the mean) typically warrant closer evaluation for psychological disengagement, learned helplessness, or elevated depressive symptoms.

11. Permissions & Fee and Test Year

The Children’s Hope Scale was officially published in 1997 in the Journal of Pediatric Psychology by C. R. Snyder, Kimberly K. Hoza, William E. Pelham, Michael A. Rapoff, Linda Ware, Michelle Danovsky, Lori Highberger, Hal Rubin, and Julie Dahlquist.

Copyright and Accessibility: In accordance with Professor C. R. Snyder’s explicit scholarly philosophy, the Children’s Hope Scale is considered an open-access, non-commercial psychological instrument. It is made freely available for clinical, educational, non-profit, and academic research purposes without licensing fees or royal charges. Researchers and clinicians may reproduce and administer the scale provided that full and accurate academic citation is given to the original 1997 publication. Commercial exploitation, reproduction within fee-based proprietary software without authorization, or modification of item wording without psychometric re-validation is restricted.

12. References

Below is the scholarly literature documenting the development, psychometric properties, and theoretical underpinnings of the Children’s Hope Scale:

• Snyder, C. R., Hoza, K. K., Pelham, W. E., Rapoff, M. A., Ware, L., Danovsky, M., Highberger, L., Rubin, H., & Dahlquist, J. (1997). The development and validation of the Children’s Hope Scale. Journal of Pediatric Psychology, 22(3), 399–421. https://doi.org/10.1093/jpepsy/22.3.399
• Snyder, C. R., Sympson, S. C., Ybasco, F. C., Borders, T. F., Babyak, M. A., & Higgins, R. L. (1996). Development and validation of the State Hope Scale. Journal of Personality and Social Psychology, 70(2), 321–335. https://doi.org/10.1037/0022-3514.70.2.321
• Snyder, C. R. (2000). Genesis: The birth and growth of hope. In C. R. Snyder (Ed.), Handbook of hope: Theory, measures, and applications (pp. 25–38). Academic Press. https://doi.org/10.1016/B978-012654050-5/50004-9
• Snyder, C. R. (2002). Hope theory: Rainbows in the mind. Psychological Inquiry, 13(4), 249–275. https://doi.org/10.1207/S15327965PLI1304_01
• Valle, M. F., Huebner, E. S., & Suldo, S. M. (2006). An analysis of hope as a psychological strength. Journal of School Psychology, 44(5), 393–406. https://doi.org/10.1016/j.jsp.2006.03.005
• Hellman, C. M., Pittman, C. M., & Munoz, R. T. (2013). The meaning of hope for youth: A test of Snyder’s hope theory. Child and Youth Services, 34(3), 269–279. https://doi.org/10.1080/0145935X.2013.829023

13. Items of the Scale