{"id":8732,"date":"2026-09-28T12:17:41","date_gmt":"2026-09-28T12:17:41","guid":{"rendered":"http:\/\/ashadocs.org\/scales\/harvard-graduate-school-of-education-prek-12-parent-survey-scales\/"},"modified":"2026-09-28T12:17:41","modified_gmt":"2026-09-28T12:17:41","slug":"harvard-graduate-school-of-education-prek-12-parent-survey-scales","status":"publish","type":"psych_scale","link":"https:\/\/ashadocs.org\/?psych_scale=harvard-graduate-school-of-education-prek-12-parent-survey-scales","title":{"rendered":"Harvard Graduate School of Education PreK\u201312 Parent Survey Scales"},"content":{"rendered":"<h2>1. Abstract<\/h2>\n<p>The <strong>Harvard Graduate School of Education PreK\u201312 Parent Survey Scales<\/strong> represent an empirically rigorous, modular battery of self-report instruments engineered to assess critical facets of family\u2013school relationships, parental involvement, educational environments, and student academic behaviors across early childhood, elementary, and secondary education settings. Developed under the leadership of Dr. Hunter Gehlbach and colleagues (including Beth Schueler and Maureen Brinkworth) at the <a href=\"https:\/\/www.gse.harvard.edu\/\" target=\"_blank\" rel=\"noopener noreferrer\">Harvard Graduate School of Education<\/a> in collaboration with SurveyMonkey, the battery addresses widespread methodological deficits in family engagement measurement, such as ambiguous wording, cognitive misalignment, and lack of dimensional validity. The instrument suite encompasses six core psychometrically validated latent factor scales and two diagnostic inventories: <em>Parent Support<\/em> (comprising Learning Support [4 items] and Social Support [3 items]), <em>Child Behaviors<\/em> (comprising Positive Learning Behaviors [4 items] and Negative Learning Behaviors [3 items]), <em>School Fit<\/em> (7 items), <em>School Climate<\/em> (7 items), <em>Parent Self-Efficacy<\/em> (6 items), <em>Family\u2013School Engagement<\/em> (4 items), <em>Barriers to Family\u2013School Engagement<\/em> (13 items), and <em>Roles and Responsibilities Related to School Success<\/em> (11 items).<\/p>\n<p>Validation data derived from a nationally stratified sample of <span class=\"arabpsy-math-inline\" data-latex=\"n = 651\">$n = 651$<\/span> parents of children aged 5 to 18 demonstrated strong psychometric properties. Internal consistency reliability estimates (Cronbach\u2019s <span class=\"arabpsy-math-inline\" data-latex=\"\\alpha\">$\\alpha$<\/span>) range from .65 to .90 across subscales (e.g., School Climate <span class=\"arabpsy-math-inline\" data-latex=\"\\alpha = .90\">$\\alpha = .90$<\/span>; School Fit <span class=\"arabpsy-math-inline\" data-latex=\"\\alpha = .84\">$\\alpha = .84$<\/span>; Parent Self-Efficacy <span class=\"arabpsy-math-inline\" data-latex=\"\\alpha = .80\">$\\alpha = .80$<\/span>; Family\u2013School Engagement <span class=\"arabpsy-math-inline\" data-latex=\"\\alpha = .78\">$\\alpha = .78$<\/span>; Child Negative Behaviors <span class=\"arabpsy-math-inline\" data-latex=\"\\alpha = .79\">$\\alpha = .79$<\/span>; Child Positive Behaviors <span class=\"arabpsy-math-inline\" data-latex=\"\\alpha = .76\">$\\alpha = .76$<\/span>; Parent Learning Support <span class=\"arabpsy-math-inline\" data-latex=\"\\alpha = .71\">$\\alpha = .71$<\/span>; Parent Social Support <span class=\"arabpsy-math-inline\" data-latex=\"\\alpha = .65\">$\\alpha = .65$<\/span>). Confirmatory factor analyses (CFA) substantiate the theoretical factor structures, exhibiting excellent model fit across dimensions (e.g., Parent Support: <span class=\"arabpsy-math-inline\" data-latex=\"\\chi^2(13) = 35.11\">$\\chi^2(13) = 35.11$<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .01\">$p &lt; .01$<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"\\text{RMSEA} = 0.05\">$\\text{RMSEA} = 0.05$<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"\\text{CFI} = 1.00\">$\\text{CFI} = 1.00$<\/span>; School Climate: <span class=\"arabpsy-math-inline\" data-latex=\"\\chi^2(14) = 31.90\">$\\chi^2(14) = 31.90$<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .01\">$p &lt; .01$<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"\\text{RMSEA} = 0.05\">$\\text{RMSEA} = 0.05$<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"\\text{CFI} = 1.00\">$\\text{CFI} = 1.00$<\/span>). Utilizing item-specific, fully labeled 5-point Likert-type response scales designed to minimize satisficing and cognitive burden, the battery provides educators, educational psychologists, and policy researchers with a standardized, diagnostically actionable, and theoretically robust framework for evaluating home\u2013school partnerships.<\/p>\n<h2>2. Keywords<\/h2>\n<p>family-school relationships, parent involvement, school climate, parental self-efficacy, school fit, survey methodology, educational assessment, home-school collaboration, child learning behaviors, psychometrics<\/p>\n<h2>3. Authors<\/h2>\n<p>The Harvard Graduate School of Education PreK\u201312 Parent Survey Scales were conceptualized, operationalized, and psychometrically validated by a research team at the <strong>Harvard Graduate School of Education (HGSE)<\/strong> in partnership with the survey methodology research division at SurveyMonkey.<\/p>\n<ul>\n<li><strong>Hunter Gehlbach, Ph.D.<\/strong>: Principal Investigator; Professor of Educational Psychology, formerly at the Harvard Graduate School of Education; subsequently Professor and Vice Dean at the University of California, Santa Barbara (UCSB) Gevirtz Graduate School of Education; Senior Research Advisor at SurveyMonkey. Specialist in survey design methodology, educational psychology, social cognition, and teacher-student\/parent-school relationships.<\/li>\n<li><strong>Beth E. Schueler, Ed.D.<\/strong>: Co-Investigator; Assistant Professor of Education and Public Policy at the University of Virginia\u2019s Batten School of Leadership and Public Policy; formerly doctoral researcher at the Harvard Graduate School of Education. Expertise in educational policy, school governance, politics of education, and family-school partnerships.<\/li>\n<li><strong>Maureen E. Brinkworth, Ph.D.<\/strong>: Research Associate and Methodologist; Harvard Graduate School of Education. Co-author of foundational psychometric guidelines for survey scale development and educational measurement.<\/li>\n<\/ul>\n<p>Institutional Origin: Harvard Graduate School of Education, Longfellow Hall, 13 Appian Way, Cambridge, MA 02138, USA.<\/p>\n<h2>4. Purpose<\/h2>\n<p>The primary purpose of the Harvard Graduate School of Education PreK\u201312 Parent Survey Scales is to provide a standardized, psychometrically grounded, and actionable diagnostic instrument to quantify the multidimensional nature of parent perceptions regarding their children&#39;s schooling, home learning dynamics, and institutional engagement. For decades, educational institutions, district administrators, and educational researchers relied on ad-hoc, unvalidated questionnaires plagued by severe psychometric limitations. Common deficiencies included double-barreled questions, vague agreement-disagreement response scales, acquiescence response bias, ceiling effects, and an overemphasis on physical attendance at school events (e.g., Parent-Teacher Association meetings) at the expense of substantive home-based learning processes.<\/p>\n<p>The HGSE Parent Survey was engineered to address these structural deficits through a modular architecture. It enables educational institutions\u2014spanning early childhood (Pre-K) through high school completion (Grade 12)\u2014to accurately capture the psychological, interpersonal, and structural mechanisms that facilitate or impede academic development. Specifically, the scales are designed to measure:<\/p>\n<ul>\n<li>The nature, frequency, and depth of home-based academic and socio-emotional assistance parents provide to their children.<\/li>\n<li>Parental evaluations of institutional tone, safety, interpersonal respect, and motivational climate within the school.<\/li>\n<li>The perceived developmental congruence or &quot;fit&quot; between the child&#39;s unique cognitive, cultural, and behavioral needs and the educational offerings of the school.<\/li>\n<li>Parental self-efficacy beliefs regarding their capability to scaffold their child&#39;s academic trajectory, manage emotional challenges, and interface with school staff.<\/li>\n<li>Direct institutional engagement, communication habits, and concrete structural barriers (e.g., schedules, childcare, institutional mistrust, negative personal schooling memories) that prevent equitable family participation.<\/li>\n<li>Attributional beliefs regarding whether academic success is the operational responsibility of families, schools, or the students themselves.<\/li>\n<\/ul>\n<p>In applied educational contexts, school districts utilize the battery to conduct district-wide equity audits, needs assessments, and longitudinal evaluations of family-engagement interventions. Clinically and diagnostically, school psychologists and counselors utilize subscale profiles to identify ecological drivers of student academic disengagement, chronic absenteeism, and behavioral maladjustment, distinguishing between family-level self-efficacy deficits, institutional cultural mismatches, and concrete socio-economic barriers.<\/p>\n<h2>5. Psychological Construct<\/h2>\n<p>The battery operationalizes family\u2013school partnerships not as an undifferentiated, unitary construct, but as an ecological system of distinct psychological, behavioral, and perceptual dimensions. Each subscale maps onto an established domain in educational psychology and developmental science.<\/p>\n<h3>Parent Support<\/h3>\n<p>Parent support captures the frequency and magnitude of home-based behaviors aimed at facilitating the child&#39;s academic and socio-emotional development. Grounded in family systems theory, the construct is bifurcated into:<\/p>\n<ul>\n<li><strong>Parent Learning Support (4 items):<\/strong> Reflects cognitive and academic scaffolding delivered within the home environment. It captures active dialogue regarding school curricula, assistance with academic tasks, provision of out-of-school educational enrichment, and the cultivation of autonomy through effort directed toward self-regulated learning.<\/li>\n<li><strong>Parent Social Support (3 items):<\/strong> Measures parental responsiveness to the child&#39;s interpersonal environment. It captures parent-child communication during peer conflict, parental awareness of the child&#39;s social functioning at school, and direct knowledge of the child&#39;s peer network.<\/li>\n<\/ul>\n<h3>Child Behaviors<\/h3>\n<p>This construct assesses parental perceptions of the child&#39;s academic volition, self-regulation, and engagement with learning. Rather than evaluating general psychopathology, it assesses domain-specific behavioral manifestations that moderate academic achievement:<\/p>\n<ul>\n<li><strong>Positive Learning Behaviors (4 items):<\/strong> Captures academic effort, intrinsic academic motivation, voluntary literacy behaviors (reading for pleasure), and receptivity to corrective instructional feedback.<\/li>\n<li><strong>Negative Learning Behaviors (3 items):<\/strong> Evaluates self-regulatory breakdown, distractibility during academic tasks at home, low task persistence (giving up on challenging tasks), and disorganization regarding school routines.<\/li>\n<\/ul>\n<h3>School Fit<\/h3>\n<p>School Fit (7 items) quantifies developmental match: the subjective congruence between an individual child&#39;s developmental, cultural, cognitive, and emotional needs and the institutional environment. It operationalizes whether teachers&#39; instructional modalities harmonize with the child&#39;s learning style, whether school disciplinary policies match the child&#39;s behavioral profile, the child&#39;s institutional sense of belonging, and cultural affirmation within the school setting.<\/p>\n<h3>School Climate<\/h3>\n<p>School Climate (7 items) evaluates parental perceptions of the institutional atmosphere and normative environment of the school. It incorporates the leadership efficacy of school administrators, classroom motivational levels, perceived fairness of academic assessment systems, mutual respect across the student body and instructional staff, and the degree to which institutional leadership values demographic and cultural diversity.<\/p>\n<h3>Parental Self-Efficacy<\/h3>\n<p>Parental Self-Efficacy (6 items) reflects parents&#39; domain-specific belief in their capability to exert positive influence over their child&#39;s academic, social, and emotional trajectory. Grounded in Albert Bandura&#39;s social cognitive theory, it assesses parental confidence in motivating their child, scaffolding learning at home, navigating peer relationships, ensuring school institutional responsiveness, and regulating child emotional expression.<\/p>\n<h3>Family-School Engagement<\/h3>\n<p>Family-School Engagement (4 items) measures active, behavioral parent participation within the school community. It focuses on the frequency of face-to-face teacher interactions, horizontal peer interactions (discussing the school with other parents), involvement in parent-teacher organizations, and direct volunteerism within school facilities.<\/p>\n<h3>Barriers to Family-School Engagement &amp; Roles and Responsibilities<\/h3>\n<p>These two modules function as diagnostic inventories rather than classical latent trait scales. <em>Barriers to Engagement<\/em> (13 items) measures logistical constraints (e.g., scheduling conflicts, transportation, childcare), psychological hesitations (e.g., negative personal school experiences, fear of teacher retaliation), and institutional resistance (e.g., unwelcoming atmosphere, cultural misalignment). <em>Roles and Responsibilities<\/em> (11 items) assesses parental attributions of agency, requiring respondents to apportion locus of responsibility (parents, school, or child) for core educational functions such as emotional regulation, academic safety, and homework management.<\/p>\n<h2>6. Theoretical Framework<\/h2>\n<p>The theoretical architecture of the HGSE PreK\u201312 Parent Survey Scales integrates three foundational frameworks from developmental and educational psychology: Bronfenbrenner\u2019s Ecological Systems Theory, Bandura\u2019s Social Cognitive Theory, and Hoover-Dempsey and Sandler\u2019s Model of the Parental Involvement Process.<\/p>\n<h3>Ecological Systems Theory<\/h3>\n<p>According to <a href=\"https:\/\/en.wikipedia.org\/wiki\/Ecological_systems_theory\" target=\"_blank\" rel=\"noopener noreferrer\">Urie Bronfenbrenner&#39;s Ecological Systems Model<\/a>, child development is shaped by interactions within nested environmental systems. The child operates directly within primary <em>microsystems<\/em>\u2014the home and the school. The HGSE battery explicitly targets the <em>mesosystem<\/em>, which encompasses the linkages and processes taking place between two or more major settings containing the developing person (specifically, home\u2013school bidirectional interactions). Disconnects between home cultural norms and institutional practices\u2014measured directly via the <em>School Fit<\/em> and <em>School Climate<\/em> scales\u2014represent mesosystemic friction that undermines student academic development.<\/p>\n<h3>Social Cognitive Theory and Self-Efficacy<\/h3>\n<p>Albert Bandura&#39;s <a href=\"https:\/\/en.wikipedia.org\/wiki\/Social_cognitive_theory\" target=\"_blank\" rel=\"noopener noreferrer\">Social Cognitive Theory<\/a> posits that human agency is governed by efficacy expectations\u2014beliefs in one&#39;s capabilities to organize and execute courses of action required to produce given attainments. Within educational contexts, parental self-efficacy is a proximal determinant of educational behavior. Parents who possess high academic self-efficacy are significantly more likely to initiate contact with educators, establish structured home learning routines, and advocate for specialized services. The <em>Parental Self-Efficacy<\/em> scale operationalizes this construct across academic, emotional, and institutional navigation domains.<\/p>\n<h3>The Hoover-Dempsey and Sandler Model<\/h3>\n<p>The overarching structure of the battery is closely aligned with the revised Hoover-Dempsey and Sandler model of parental involvement. This framework posits that parental involvement is driven by three primary psychological motivators:<\/p>\n<ol>\n<li><strong>Parental role construction:<\/strong> How parents define their personal responsibilities regarding their child&#39;s education (captured by the <em>Roles and Responsibilities<\/em> inventory).<\/li>\n<li><strong>Parental self-efficacy:<\/strong> Beliefs regarding personal capability to assist the child (captured by the <em>Parent Self-Efficacy<\/em> scale).<\/li>\n<li><strong>Perceptions of institutional invitations and climate:<\/strong> Welcoming behaviors, general invitations from the school, and teacher responsiveness (captured by <em>School Climate<\/em> and <em>Barriers to Family-School Engagement<\/em>).<\/li>\n<\/ol>\n<p>By assessing both psychological motivators and structural contextual barriers, the instrument captures the dynamic mechanisms that govern parental participation.<\/p>\n<h2>7. Validity<\/h2>\n<p>The construct validity of the HGSE PreK\u201312 Parent Survey Scales was established through a structured, multi-phase methodology designed to integrate validity evidence from initial item conception through final psychometric testing, adhering to the six-step survey design protocol developed by <a href=\"https:\/\/doi.org\/10.1037\/a0025704\" target=\"_blank\" rel=\"noopener noreferrer\">Gehlbach and Brinkworth (2011)<\/a>.<\/p>\n<h3>Step-by-Step Instrument Development Protocol<\/h3>\n<ol>\n<li><strong>Extant Literature Synthesis:<\/strong> The development team performed a literature review of family-school partnerships, parental involvement models, and social climate literature to isolate essential indicators for each target construct.<\/li>\n<li><strong>Parent Focus Groups and Open-Ended Interviews:<\/strong> Semi-structured focus groups and qualitative interviews (45 to 60 minutes) were conducted with diverse cohorts of parents across PreK\u201312 grade levels to discern how families naturally conceptualized home-school relationships.<\/li>\n<li><strong>Indicator Alignment and Synthesis:<\/strong> Researchers cross-referenced literature-derived indicators with qualitative interview data. Indicators identified across both empirical literature and parental discourse were prioritized. Divergences in terminology between researchers and parents were resolved in favor of authentic parental vernacular to reduce linguistic dissonance.<\/li>\n<li><strong>Item Construction:<\/strong> Items were drafted strictly adhering to evidence-based survey design standards (<a href=\"https:\/\/doi.org\/10.1097\/ACM.0b013e31822c7b9e\" target=\"_blank\" rel=\"noopener noreferrer\">Artino, Gehlbach, &amp; Durning, 2011<\/a>). Key design rules included: avoiding agree-disagree formats, crafting fully labeled response options, employing item-specific response scales, eliminating double-barreled syntax, and minimizing satisficing risks.<\/li>\n<li><strong>Expert Panel Review:<\/strong> A panel of academic researchers, school practitioners, and cultural diversity specialists completed review surveys evaluating item clarity, construct relevance, content omissions, and cross-cultural and developmental appropriateness across PreK through Grade 12.<\/li>\n<li><strong>Cognitive Pretesting (Think-Aloud Interviews):<\/strong> Following the cognitive validation protocols of <a href=\"https:\/\/doi.org\/10.1080\/00461520701416306\" target=\"_blank\" rel=\"noopener noreferrer\">Karabenick et al. (2007)<\/a>, researchers conducted 40- to 60-minute one-on-one cognitive pretesting interviews with parents. Participants restated each survey item in their own words without relying on the item&#39;s vocabulary and engaged in concurrent think-aloud verbalizations while navigating response options, confirming that respondent interpretations matched theoretical intent.<\/li>\n<\/ol>\n<h3>Convergent, Discriminant, and External Validity<\/h3>\n<p>Subsequent validation studies (<a href=\"https:\/\/doi.org\/10.1037\/a0034304\" target=\"_blank\" rel=\"noopener noreferrer\">Schueler, Capotosto, Bahena, McIntyre, &amp; Gehlbach, 2014<\/a>) provided evidence for convergent and predictive validity. Scores on the <em>School Climate<\/em> and <em>School Fit<\/em> scales correlated positively with objective measures of school-wide academic achievement, student attendance rates, and lower suspension rates. The <em>Barriers to Family-School Engagement<\/em> inventory demonstrated discriminant validity across socioeconomic strata, identifying distinct barrier profiles between high-income families (primarily schedule and time constraints) and historically marginalized cohorts (e.g., transportation deficits, childcare needs, cultural miscommunication, and feelings of institutional alienation).<\/p>\n<h2>8. Reliability<\/h2>\n<p>The internal consistency reliability of the HGSE PreK\u201312 Parent Survey Scales was evaluated on a nationally representative calibration sample of <span class=\"arabpsy-math-inline\" data-latex=\"n = 651\">$n = 651$<\/span> parents with school-aged children (ages 5 to 18) recruited via SurveyMonkey\u2019s national research panel. Estimates were computed using Cronbach\u2019s coefficient alpha (<span class=\"arabpsy-math-inline\" data-latex=\"\\alpha\">$\\alpha$<\/span>).<\/p>\n<table style=\"width:100%; border-collapse:collapse; margin:20px 0; text-align:left;\">\n<thead>\n<tr style=\"background-color:#f1f5f9; border-bottom:2px solid #cbd5e1;\">\n<th style=\"padding:10px 12px;\">Scale \/ Subscale<\/th>\n<th style=\"padding:10px 12px;\">Number of Items<\/th>\n<th style=\"padding:10px 12px;\">Cronbach&#39;s Alpha (<span class=\"arabpsy-math-inline\" data-latex=\"\\alpha\">$\\alpha$<\/span>)<\/th>\n<th style=\"padding:10px 12px;\">Scale Classification<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr style=\"border-bottom:1px solid #e2e8f0;\">\n<td style=\"padding:10px 12px;\"><strong>School Climate<\/strong><\/td>\n<td style=\"padding:10px 12px;\">7<\/td>\n<td style=\"padding:10px 12px;\">.90<\/td>\n<td style=\"padding:10px 12px;\">Latent Scale (Unidimensional)<\/td>\n<\/tr>\n<tr style=\"border-bottom:1px solid #e2e8f0; background-color:#fafafa;\">\n<td style=\"padding:10px 12px;\"><strong>School Fit<\/strong><\/td>\n<td style=\"padding:10px 12px;\">7<\/td>\n<td style=\"padding:10px 12px;\">.84<\/td>\n<td style=\"padding:10px 12px;\">Latent Scale (Unidimensional)<\/td>\n<\/tr>\n<tr style=\"border-bottom:1px solid #e2e8f0;\">\n<td style=\"padding:10px 12px;\"><strong>Parent Self-Efficacy<\/strong><\/td>\n<td style=\"padding:10px 12px;\">6<\/td>\n<td style=\"padding:10px 12px;\">.80<\/td>\n<td style=\"padding:10px 12px;\">Latent Scale (Unidimensional)<\/td>\n<\/tr>\n<tr style=\"border-bottom:1px solid #e2e8f0; background-color:#fafafa;\">\n<td style=\"padding:10px 12px;\"><strong>Child Negative Behaviors<\/strong><\/td>\n<td style=\"padding:10px 12px;\">3<\/td>\n<td style=\"padding:10px 12px;\">.79<\/td>\n<td style=\"padding:10px 12px;\">Subscale (Child Behaviors)<\/td>\n<\/tr>\n<tr style=\"border-bottom:1px solid #e2e8f0;\">\n<td style=\"padding:10px 12px;\"><strong>Family-School Engagement<\/strong><\/td>\n<td style=\"padding:10px 12px;\">4<\/td>\n<td style=\"padding:10px 12px;\">.78<\/td>\n<td style=\"padding:10px 12px;\">Latent Scale (Unidimensional)<\/td>\n<\/tr>\n<tr style=\"border-bottom:1px solid #e2e8f0; background-color:#fafafa;\">\n<td style=\"padding:10px 12px;\"><strong>Child Positive Behaviors<\/strong><\/td>\n<td style=\"padding:10px 12px;\">4<\/td>\n<td style=\"padding:10px 12px;\">.76<\/td>\n<td style=\"padding:10px 12px;\">Subscale (Child Behaviors)<\/td>\n<\/tr>\n<tr style=\"border-bottom:1px solid #e2e8f0;\">\n<td style=\"padding:10px 12px;\"><strong>Parent Learning Support<\/strong><\/td>\n<td style=\"padding:10px 12px;\">4<\/td>\n<td style=\"padding:10px 12px;\">.71<\/td>\n<td style=\"padding:10px 12px;\">Subscale (Parent Support)<\/td>\n<\/tr>\n<tr style=\"border-bottom:1px solid #e2e8f0; background-color:#fafafa;\">\n<td style=\"padding:10px 12px;\"><strong>Parent Social Support<\/strong><\/td>\n<td style=\"padding:10px 12px;\">3<\/td>\n<td style=\"padding:10px 12px;\">.65<\/td>\n<td style=\"padding:10px 12px;\">Subscale (Parent Support)<\/td>\n<\/tr>\n<tr style=\"border-bottom:1px solid #e2e8f0;\">\n<td style=\"padding:10px 12px;\"><strong>Barriers to Engagement<\/strong><\/td>\n<td style=\"padding:10px 12px;\">13<\/td>\n<td style=\"padding:10px 12px;\">N\/A (Formative Inventory)<\/td>\n<td style=\"padding:10px 12px;\">Diagnostic Inventory<\/td>\n<\/tr>\n<tr style=\"border-bottom:1px solid #e2e8f0; background-color:#fafafa;\">\n<td style=\"padding:10px 12px;\"><strong>Roles and Responsibilities<\/strong><\/td>\n<td style=\"padding:10px 12px;\">11<\/td>\n<td style=\"padding:10px 12px;\">N\/A (Categorical Attribution)<\/td>\n<td style=\"padding:10px 12px;\">Attributional Matrix<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Most scales exhibit internal consistency estimates meeting or exceeding standard psychometric thresholds (<span class=\"arabpsy-math-inline\" data-latex=\"\\alpha ge .70\">$\\alpha ge .70$<\/span> to <span class=\"arabpsy-math-inline\" data-latex=\".90\">$.90$<\/span>) for group-level research and district decision-making. The slightly lower alpha observed for <em>Parent Social Support<\/em> (<span class=\"arabpsy-math-inline\" data-latex=\"\\alpha = .65\">$\\alpha = .65$<\/span>) reflects the brief length of the subscale (3 items) and the broad scope of social interactions assessed (e.g., peer conflict dialogue vs. concrete acquaintance with friends).<\/p>\n<h2>9. Factor Analysis<\/h2>\n<p>To examine the dimensional structure of the items, the researchers conducted Confirmatory Factor Analyses (CFA) using structural equation modeling software on data from the national calibration sample (<span class=\"arabpsy-math-inline\" data-latex=\"n = 651\">$n = 651$<\/span>). Models were specified based on the theoretical frameworks governing each scale.<\/p>\n<h3>Multidimensional Models<\/h3>\n<ul>\n<li><strong>Parent Support Scale (2-Factor Model):<\/strong> Specified with two correlated latent factors: <em>Social Support<\/em> (3 indicators) and <em>Learning Support<\/em> (4 indicators). The model demonstrated fit to the data: <span class=\"arabpsy-math-inline\" data-latex=\"\\chi^2 = 35.11\">$\\chi^2 = 35.11$<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"df = 13\">$df = 13$<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .01\">$p &lt; .01$<\/span>; Root Mean Square Error of Approximation (<span class=\"arabpsy-math-inline\" data-latex=\"\\text{RMSEA}\">$\\text{RMSEA}$<\/span>) = 0.05 (90% CI [0.03, 0.07]); Comparative Fit Index (<span class=\"arabpsy-math-inline\" data-latex=\"\\text{CFI}\">$\\text{CFI}$<\/span>) = 1.00. No standardized residual correlations exceeded <span class=\"arabpsy-math-inline\" data-latex=\"|0.10|\">$|0.10|$<\/span>.<\/li>\n<li><strong>Child Behaviors Scale (2-Factor Model):<\/strong> Specified with two correlated latent factors: <em>Positive Learning Behaviors<\/em> (4 indicators) and <em>Negative Learning Behaviors<\/em> (3 indicators). The model demonstrated good fit: <span class=\"arabpsy-math-inline\" data-latex=\"\\chi^2 = 13.99\">$\\chi^2 = 13.99$<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"df = 13\">$df = 13$<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"p = 0.37\">$p = 0.37$<\/span>; <span class=\"arabpsy-math-inline\" data-latex=\"\\text{RMSEA} = 0.01\">$\\text{RMSEA} = 0.01$<\/span> (90% CI [0.00, 0.04]); <span class=\"arabpsy-math-inline\" data-latex=\"\\text{CFI} = 1.00\">$\\text{CFI} = 1.00$<\/span>. Zero residual correlations exceeded <span class=\"arabpsy-math-inline\" data-latex=\"|0.10|\">$|0.10|$<\/span>.<\/li>\n<\/ul>\n<h3>Unidimensional Models<\/h3>\n<ul>\n<li><strong>School Climate Scale (1-Factor Model, 7 items):<\/strong> A single latent factor accounted for parental perceptions of institutional climate: <span class=\"arabpsy-math-inline\" data-latex=\"\\chi^2 = 31.90\">$\\chi^2 = 31.90$<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"df = 14\">$df = 14$<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .01\">$p &lt; .01$<\/span>; <span class=\"arabpsy-math-inline\" data-latex=\"\\text{RMSEA} = 0.05\">$\\text{RMSEA} = 0.05$<\/span> (90% CI [0.03, 0.07]); <span class=\"arabpsy-math-inline\" data-latex=\"\\text{CFI} = 1.00\">$\\text{CFI} = 1.00$<\/span>. All standardized residual correlations were below <span class=\"arabpsy-math-inline\" data-latex=\"|0.10|\">$|0.10|$<\/span>.<\/li>\n<li><strong>School Fit Scale (1-Factor Model, 7 items):<\/strong> Specified as a single latent factor representing developmental match: <span class=\"arabpsy-math-inline\" data-latex=\"\\chi^2 = 77.95\">$\\chi^2 = 77.95$<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"df = 14\">$df = 14$<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .001\">$p &lt; .001$<\/span>; <span class=\"arabpsy-math-inline\" data-latex=\"\\text{RMSEA} = 0.086\">$\\text{RMSEA} = 0.086$<\/span> (90% CI [0.068, 0.105]); <span class=\"arabpsy-math-inline\" data-latex=\"\\text{CFI} = .981\">$\\text{CFI} = .981$<\/span>. Only 4.76% of residual correlations exceeded <span class=\"arabpsy-math-inline\" data-latex=\"|0.10|\">$|0.10|$<\/span>.<\/li>\n<li><strong>Parent Self-Efficacy Scale (1-Factor Model, 6 items):<\/strong> Evaluated as a single general parental self-efficacy factor: <span class=\"arabpsy-math-inline\" data-latex=\"\\chi^2 = 34.06\">$\\chi^2 = 34.06$<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"df = 9\">$df = 9$<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"p &lt; .001\">$p &lt; .001$<\/span>; <span class=\"arabpsy-math-inline\" data-latex=\"\\text{RMSEA} = 0.07\">$\\text{RMSEA} = 0.07$<\/span> (90% CI [0.04, 0.09]); <span class=\"arabpsy-math-inline\" data-latex=\"\\text{CFI} = 0.99\">$\\text{CFI} = 0.99$<\/span>. No residual correlations exceeded <span class=\"arabpsy-math-inline\" data-latex=\"|0.10|\">$|0.10|$<\/span>.<\/li>\n<li><strong>Family-School Engagement Scale (1-Factor Model, 4 items):<\/strong> Specified as a unidimensional engagement behavior factor: <span class=\"arabpsy-math-inline\" data-latex=\"\\chi^2 = 9.73\">$\\chi^2 = 9.73$<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"df = 2\">$df = 2$<\/span>, <span class=\"arabpsy-math-inline\" data-latex=\"p = 0.01\">$p = 0.01$<\/span>; <span class=\"arabpsy-math-inline\" data-latex=\"\\text{RMSEA} = 0.078\">$\\text{RMSEA} = 0.078$<\/span> (90% CI [0.03, 0.13]); <span class=\"arabpsy-math-inline\" data-latex=\"\\text{CFI} = 1.00\">$\\text{CFI} = 1.00$<\/span>. Residual correlations remained strictly below <span class=\"arabpsy-math-inline\" data-latex=\"|0.10|\">$|0.10|$<\/span>.<\/li>\n<\/ul>\n<h2>10. Instrument \/ Measurement Tool<\/h2>\n<p>The Harvard Graduate School of Education PreK\u201312 Parent Survey Scales are administered as an anonymous or confidential self-report questionnaire, available via digital interfaces or paper-and-pencil formats.<\/p>\n<ul>\n<li><strong>Test Type:<\/strong> Multi-scale standardized psychological assessment battery and diagnostic inventory.<\/li>\n<li><strong>Target Respondent:<\/strong> Parents, legal guardians, and primary caregivers of children enrolled in Pre-Kindergarten through Grade 12 educational institutions.<\/li>\n<li><strong>Administration Modality:<\/strong> Online web-based administration (via SurveyMonkey or district portals) or printed surveys.<\/li>\n<li><strong>Total Core Items:<\/strong> 62 items across 6 psychometric scales and 2 diagnostic inventories:\n<ul>\n<li>Parent Support: 7 items (3 Social Support, 4 Learning Support)<\/li>\n<li>Child Behaviors: 7 items (4 Positive Behaviors, 3 Negative Behaviors)<\/li>\n<li>School Fit: 7 items<\/li>\n<li>School Climate: 7 items<\/li>\n<li>Parent Self-Efficacy: 6 items<\/li>\n<li>Family-School Engagement: 4 items<\/li>\n<li>Barriers to Family-School Engagement: 13 items<\/li>\n<li>Roles and Responsibilities Related to School Success: 11 items<\/li>\n<\/ul>\n<\/li>\n<li><strong>Response Formats:<\/strong> Fully labeled, construct-specific 5-point Likert scales designed to avoid traditional agree-disagree formatting, plus an attributional choice matrix:\n<ul>\n<li><em>Frequency scales:<\/em> Almost never (1), Once in a while (2), Sometimes (3), Frequently (4), Almost all the time (5)<\/li>\n<li><em>Extent scales:<\/em> Not at all (1), A little bit (2), Somewhat (3), Quite a bit (4), A tremendous amount (5)<\/li>\n<li><em>Quality\/Match scales:<\/em> Not well at all (1), Mildly well (2), Fairly well (3), Quite well (4), Extremely well (5)<\/li>\n<li><em>Confidence scales:<\/em> Not confident at all (1), Slightly confident (2), Somewhat confident (3), Quite confident (4), Extremely confident (5)<\/li>\n<li><em>Barriers scale:<\/em> Not a problem at all (1), Small problem (2), Medium problem (3), Large problem (4), Very large problem (5)<\/li>\n<li><em>Roles &amp; Responsibilities matrix:<\/em> Categorical attributions: Primarily parents (1), Primarily schools (2), Primarily children (3), N\/A (4)<\/li>\n<\/ul>\n<\/li>\n<li><strong>Scoring Procedures:<\/strong>\n<ul>\n<li><em>Scale Scores:<\/em> Subscale and composite scores are calculated by averaging the numerical responses across relevant items within that scale (range: 1.0 to 5.0).<\/li>\n<li><em>Negative Learning Behaviors Subscale:<\/em> Scored such that higher values denote higher levels of distractibility, giving up, and disorganization; items can be reverse-coded (Recode: <span class=\"arabpsy-math-inline\" data-latex=\"1=5, 2=4, 3=3, 4=2, 5=1\">$1=5, 2=4, 3=3, 4=2, 5=1$<\/span>) when computing an overall positive child behavior index.<\/li>\n<li><em>Inventory Analyses:<\/em> Barriers items are evaluated individually as item-level frequencies or proportions reporting &quot;Large problem&quot; or &quot;Very large problem&quot;. Roles and Responsibilities items are analyzed as percentage distributions allocating responsibility across the three primary agents.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2>11. Permissions &amp; Fee and Test Year<\/h2>\n<p>The Harvard Graduate School of Education PreK\u201312 Parent Survey Scales were initially developed and released between <strong>2011 and 2013<\/strong> through the research collaboration between the Harvard Graduate School of Education and SurveyMonkey, with key psychometric publications appearing in 2012, 2013, and 2014. By the summer of 2013, the battery had been adopted by over 1,000 schools across more than 300 school districts nationwide.<\/p>\n<p><strong>Licensing and Availability:<\/strong> The scales were developed as an open-access public resource for educators, school leaders, and researchers. The survey scales are available <strong>free of charge<\/strong> for non-commercial educational research, school improvement initiatives, district assessments, and academic inquiry. School districts and researchers may utilize the instrument without formal royalties, provided appropriate citation is given to the authors and the Harvard Graduate School of Education.<\/p>\n<p>The scales are officially accessible in both <strong>English<\/strong> and <strong>Spanish<\/strong> translations, developed using standard forward- and back-translation protocols to ensure linguistic equivalence.<\/p>\n<h2>12. References<\/h2>\n<ul>\n<li>Artino, A. R., Jr., Gehlbach, H., &amp; Durning, S. J. (2011). AM last page: Avoiding five common pitfalls of survey design. <em>Academic Medicine: Journal of the Association of American Medical Colleges<\/em>, 86(10), 1327. <a href=\"https:\/\/doi.org\/10.1097\/ACM.0b013e31822c7b9e\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1097\/ACM.0b013e31822c7b9e<\/a><\/li>\n<li>Gehlbach, H., &amp; Brinkworth, M. E. (2011). Measure twice, cut down error: A process for enhancing the validity of survey scales. <em>Review of General Psychology<\/em>, 15(4), 380\u2013387. <a href=\"https:\/\/doi.org\/10.1037\/a0025704\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1037\/a0025704<\/a><\/li>\n<li>Gehlbach, H., Schueler, B., Brinkworth, M. E., &amp; Bahena, S. (2013). <em>Assessing home-school relationships<\/em>. Symposium presentation at the Annual Meeting of the American Educational Research Association (AERA), San Francisco, CA.<\/li>\n<li>Hoover-Dempsey, K. V., &amp; Sandler, H. M. (1997). Why do parents become involved in their children&#39;s education? <em>Review of Educational Research<\/em>, 67(1), 3\u201342. <a href=\"https:\/\/doi.org\/10.3102\/00346543067001003\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.3102\/00346543067001003<\/a><\/li>\n<li>Karabenick, S. A., Woolley, M. E., Friedel, J. M., Ammon, B. V., Blazevski, J., Bonney, C. R., De Groot, E., Gilbert, M. C., Musu, L., Kempler, T. M., &amp; Kelly, K. E. (2007). Cognitive processing of self-report items in educational research: Do they think what we mean? <em>Educational Psychologist<\/em>, 42(3), 139\u2013151. <a href=\"https:\/\/doi.org\/10.1080\/00461520701416306\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1080\/00461520701416306<\/a><\/li>\n<li>Schueler, B. (2012). A new tool for understanding family-school relationships: The Harvard Graduate School of Education PreK\u201312 Parent Survey. <em>Family Involvement Network of Educators (FINE) Newsletter<\/em>, 5(1).<\/li>\n<li>Schueler, B. E., Capotosto, L., Bahena, S., McIntyre, J., &amp; Gehlbach, H. (2014). Measuring parent perceptions of school climate. <em>Psychological Assessment<\/em>, 26(1), 314\u2013320. <a href=\"https:\/\/doi.org\/10.1037\/a0034304\" target=\"_blank\" rel=\"noopener noreferrer\">https:\/\/doi.org\/10.1037\/a0034304<\/a><\/li>\n<\/ul>\n<h2>13. Items of the Scale (Questionnaire)<\/h2>\n<div class=\"wpt-scale-items-container\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:12px; margin:28px 0; overflow:hidden; box-shadow:0 4px 12px rgba(0,0,0,0.03);\">\n<div class=\"wpt-scale-notice\" style=\"direction:ltr; text-align:left; background:#f8fafc; border-bottom:1px solid #e2e8f0; padding:14px 20px; font-size:13.5px; color:#475569; font-weight:500;\">\n    Below are the authentic scale items in their original language as published in the standard psychometric validation studies, without modification or translation to preserve instrument validity and reliability:\n  <\/div>\n<div class=\"wpt-scale-english-box\" style=\"direction:ltr; text-align:left; padding:20px 24px; font-family:-apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Helvetica, Arial, sans-serif; font-size:14.5px; color:#1e293b; line-height:1.7;\">\n<div class=\"wpt-scale-scoring-formula\" style=\"background:#ecfdf5; border-left:4px solid #10b981; border-radius:0 8px 8px 0; padding:12px 16px; margin-bottom:18px; font-size:13.5px; color:#065f46;\">\n      <strong style=\"color:#064e3b;\">Scoring Formula:<\/strong> Scoring: <span class=\"arabpsy-eq\" dir=\"ltr\">Not confident at all = 1; Slightly confident = 2; Somewhat confident = 3; Quite confident = 4; and Extremely confident = 5<\/span>.\n    <\/div>\n<div class=\"wpt-scale-item-row\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:8px; padding:12px 16px; margin-bottom:10px; display:flex; align-items:flex-start; gap:12px; box-shadow:0 1px 2px rgba(0,0,0,0.02);\">\n  <span style=\"display:inline-flex; align-items:center; justify-content:center; min-width:28px; height:28px; background:#2563eb; color:#ffffff; font-weight:700; font-size:12.5px; border-radius:50%; flex-shrink:0; margin-top:1px;\">1<\/span><\/p>\n<div style=\"flex:1; color:#0f172a; font-size:14.5px; font-weight:500; line-height:1.6;\">How often do you and your child talk when s\/he is having a problem with others? Almost never Once in a while\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Sometimes Frequently\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Almost all the time<\/div>\n<\/div>\n<div class=\"wpt-scale-item-row\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:8px; padding:12px 16px; margin-bottom:10px; display:flex; align-items:flex-start; gap:12px; box-shadow:0 1px 2px rgba(0,0,0,0.02);\">\n  <span style=\"display:inline-flex; align-items:center; justify-content:center; min-width:28px; height:28px; background:#2563eb; color:#ffffff; font-weight:700; font-size:12.5px; border-radius:50%; flex-shrink:0; margin-top:1px;\">2<\/span><\/p>\n<div style=\"flex:1; color:#0f172a; font-size:14.5px; font-weight:500; line-height:1.6;\">To what extent do you know how your child is doing socially at school? Not at all A little bit\u00a0\u00a0\u00a0 Somewhat\u00a0\u00a0\u00a0 Quite a bit A tremendous amount<\/div>\n<\/div>\n<div class=\"wpt-scale-item-row\" style=\"background:#ffffff; border:1px solid #e2e8f0; border-radius:8px; padding:12px 16px; margin-bottom:10px; display:flex; align-items:flex-start; gap:12px; box-shadow:0 1px 2px rgba(0,0,0,0.02);\">\n  <span style=\"display:inline-flex; align-items:center; justify-content:center; min-width:28px; height:28px; background:#2563eb; color:#ffffff; font-weight:700; font-size:12.5px; border-radius:50%; flex-shrink:0; margin-top:1px;\">3<\/span><\/p>\n<div style=\"flex:1; color:#0f172a; font-size:14.5px; font-weight:500; line-height:1.6;\">How well do you know your child\u2019s close friends?<\/div>\n<\/div><\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>The Harvard Graduate School of Education PreK\u201312 Parent Survey Scales, developed by Hunter Gehlbach and colleagues, provide a psychometrically validated modular assessment tool measuring family-school relationships, school climate, parent self-efficacy, and barriers to engagement.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","template":"","categories":[55,1944,2],"tags":[2976,25974,20864,21044,12539,25975,12101],"class_list":["post-8732","psych_scale","type-psych_scale","status-publish","hentry","category-educational-psychology","category-family-studies","category-psychometrics","tag-educational-assessment","tag-family-school-relationships","tag-parent-involvement","tag-parental-self-efficacy","tag-school-climate","tag-school-fit","tag-survey-methodology"],"_links":{"self":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/8732","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale"}],"about":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/types\/psych_scale"}],"author":[{"embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=8732"}],"version-history":[{"count":0,"href":"https:\/\/ashadocs.org\/index.php?rest_route=\/wp\/v2\/psych_scale\/8732\/revisions"}],"wp:attachment":[{"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8732"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=8732"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ashadocs.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=8732"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}