Analytic/Holistic Thinking (AHT)

Abstract

The Analytic/Holistic Thinking (AHT) scale is a specialized psychometric assessment instrument designed to measure individual differences in cognitive processing styles, specifically contrasting analytic orientation—characterized by formal logic, rule-based categorization, decontextualization, and linear causality—with holistic orientation, characterized by field dependence, dialectical reasoning, contextual embedding, and cyclical perceptions of change. Derived from the broader 24-item Analysis-Holism Scale (AHS) formulated by Incheol Choi, Minkyung Koo, and Jong An Choi (2007), this targeted four-item operationalization isolates the critical epistemic dimension of perception of change versus stability. It gauges whether an individual conceptualizes psychological, social, and physical phenomena as maintaining linear, stable, and predictable trajectories over time or as dynamic, cyclical, interconnected, and context-dependent systems.

The scale employs a multi-point Likert response format (typically anchored from 1 = Strongly Disagree to 7 = Strongly Agree). Structurally, three of the four items represent analytic convictions regarding predictability, immutability, and linear continuity (which are reverse-coded), while one item (or the aggregate scoring framework) reflects a holistic appreciation for flux, systemic non-linearity, and dialectical transformation. Higher aggregate scores indicate a predominantly holistic cognitive orientation, whereas lower scores reflect an analytic cognitive framework. Psychometric evaluations across monocultural and cross-cultural cohorts substantiate the scale’s construct, convergent, and discriminant validity. Confirmatory factor analyses support the unidimensionality of this subscale within the overarching multi-facet structural model of cognitive systems. The instrument exhibits reliable internal consistency (Cronbach’s alpha coefficients routinely ranging from .70 to .82 across diverse cultural samples) and strong temporal stability. It serves as an indispensable tool across cognitive psychology, cross-cultural studies, organizational decision-making, and behavioral economics.

Keywords

Analytic/Holistic Thinking, Analysis-Holism Scale, Cognitive Style, Cross-Cultural Psychology, Epistemology, Perception of Change, Linear Thinking, Dialectical Thinking, Field Dependence, Psychometrics

Authors

The theoretical architecture and empirical foundation of the Analytic/Holistic Thinking metric originate from the psychometric research program conducted by:

• Incheol Choi, Ph.D. — Professor of Psychology, Center for Happiness Studies, Department of Psychology, Seoul National University, Seoul, Republic of Korea. Specialization: Cultural psychology, subjective well-being, social cognition, and cognitive styles.
• Minkyung Koo, Ph.D. — Associate Professor of Marketing and Behavioral Science, Department of Psychology and Business Administration. Specialization: Judgment and decision-making, counterfactual thinking, and cultural epistemology.
• Jong An Choi, Ph.D. — Department of Psychology, Seoul National University. Specialization: Psychometrics, quantitative research methodology, and cross-cultural experimental designs.

Primary institutional correspondence regarding the foundational validation studies can be directed to the Department of Psychology, Seoul National University, 1 Gwanak-ro, Gwanak-gu, Seoul 08826, Republic of Korea, or through the academic literature repository of the Personality and Social Psychology Bulletin.

Purpose

Human cognition does not operate within a universal vacuum; rather, it is shaped by epistemological traditions, socialization practices, and cognitive scaffolds that dictate how individuals attend to stimuli, attribute causality, resolve contradictions, and anticipate future states. For decades, Western psychological science presupposed that basic cognitive architectures were culturally invariant. However, pioneering cultural-cognitive paradigms spearheaded by Richard Nisbett, Kaiping Peng, Takahiko Masuda, and Incheol Choi established that human thinking clusters into two distinct, coherent systems: analytic thinking and holistic thinking.

The primary purpose of the Analytic/Holistic Thinking (AHT) scale is to furnish researchers and clinicians with a psychometrically rigorous, brief instrument that indexes individual variations along the continuity-change continuum. Specifically, the scale was created to address several acute theoretical and methodological necessities:

• Overcoming Cultural Essentialism: Early cross-cultural investigations predominantly treated cognitive orientation as a geographical or national categorical variable (e.g., contrasting North Americans against East Asians as homogeneous monoliths). The AHT scale operationalizes cognitive style as a continuous psychological construct, acknowledging profound within-culture individual variance, bicultural cognitive flexibility, and situational priming effects.
• Isolating Epistemic Theories of Change: While holistic cognition encompasses locus of attention, causal attribution, and tolerance of contradiction, the anticipation of change constitutes the core mechanism governing predictive reasoning, strategic planning, and risk estimation. The AHT directly quantifies whether a person views the world as deterministic, linear, and constant versus non-linear, unpredictable, and fluid.
• Explaining Systematic Biases in Judgment and Decision-Making: Individuals with an analytic focus project current trends indefinitely into the future, fostering vulnerability to cognitive distortions such as the hindsight bias, outcome bias, and overconfidence in financial forecasting. In contrast, holistic thinkers exhibit cyclical expectations, anticipating reversal of fortunes, which buffers against overoptimism during economic bubbles but may diminish perceived personal agency.
• Clinical and Psychotherapeutic Applications: In cognitive-behavioral therapies, a rigid analytic orientation can manifest as absolute, dichotomous thinking and an inability to accept emotional ambivalence or environmental flux. Conversely, measuring a patient’s capacity for holistic change perception assists in tailoring therapeutic interventions (e.g., dialectical behavior therapy, acceptance and commitment therapy) that promote psychological flexibility.
• Organizational and Macro-Systemic Research: The scale enables organizational psychologists to evaluate leadership behavior, cross-cultural team synergy, crisis management strategies, and innovation patterns under conditions of volatility, uncertainty, complexity, and ambiguity (VUCA).

Psychological Construct

The psychological construct assessed by the Analytic/Holistic Thinking scale centers on an individual’s chronic cognitive model of environmental continuity, structural stability, and system dynamics. It measures whether reality is viewed as composed of isolated, discrete entities governed by immutable internal properties and deterministic laws, or as an interwoven ecological network defined by continuous transformation, relational flux, and cyclical dynamics.

The Analytic Epistemology: Linear Progression and Deterministic Stability

The analytic cognitive system traces its lineage to ancient Greek philosophical traditions (exemplified by Aristotelian formal logic), which emphasize:

• The Law of Identity (A = A): An object or individual retains its core properties irrespective of context or the passage of time. Consequently, past behavioral baselines are expected to persist unchanged into the future.
• The Law of Non-Contradiction (A cannot be both B and not-B simultaneously): Propositions are either true or false. Ambiguity and paradox are perceived as analytical errors or measurement noise that must be eliminated through categorical reduction.
• Decontextualization and Focal Attribution: Objects are mentally extracted from their visual and contextual fields. Causality is located primarily within internal dispositions, traits, or essential properties rather than systemic environmental interactions.
• Linear Trajectories: Trends are projected as continuous vectors. If an economic indicator, interpersonal dynamic, or health metric is ascending, the analytic mind expects continued ascent until an opposing external force acts upon it.

The Holistic Epistemology: Dynamic Flux, Interconnection, and Cyclicality

Conversely, the holistic cognitive orientation is grounded in ancient East Asian philosophical lineages (such as Daoism, Confucianism, and Buddhism), which prioritize:

• Constant Mutation and Cyclic Change: Reality is viewed as an open, dynamic process where stability is temporary. Trends do not proceed infinitely along a straight line; rather, growth reaches an apex and reverses toward decline, while adversity eventually cycles toward restoration (e.g., the principle of Yin and Yang).
• Contextual Embeddedness and Relational Causality: No object or individual exists independently of its context. Events are produced through multi-causal, reciprocal interactions among numerous contextual variables, making precise, deterministic forecasting impossible.
• Dialecticism and Tolerance of Contradiction: Opposites co-exist and mutually generate one another. Holistic thinkers embrace paradox, recognizing that strengths entail inherent vulnerabilities and that opposing perspectives can both contain contextual truth.

Behavioral and Cognitive Expressions of the Construct

When operationalized, individuals who score high on the AHT (indicating holistic thinking regarding change) display distinctive perceptual signatures:

• Trend Prediction: When presented with historical trend graphs showing a continuous rise, holistic thinkers predict a downward turning point, whereas analytic thinkers predict continued linear acceleration.
• Attributional Complexity: Holistic thinkers consider hundreds of ambient variables when explaining personal failure or organizational crises, whereas analytic thinkers isolate a single causal failure point (e.g., individual competence or mechanical error).
• Emotional Ambivalence: Holistic individuals readily experience mixed emotional states (e.g., experiencing bittersweet feelings during major celebrations), whereas analytic individuals experience positive and negative affect as mutually exclusive polarities.

Theoretical Framework

The conceptual scaffolding of the Analytic/Holistic Thinking scale rests at the intersection of cognitive science, anthropological epistemology, and social psychology. It relies on four primary theoretical models:

1. The Systems of Thought Theory (Nisbett et al., 2001)

Richard Nisbett and colleagues synthesized historical, philosophical, and empirical data into the Systems of Thought Theory. This framework asserts that social structures dictate attention patterns, which subsequently shape epistemological assumptions and metaphysical beliefs. Social systems emphasizing individual independence, contractual relationships, and debate (e.g., ancient Greece and modern Western democracies) fostered analytic cognitive habits focused on discrete objects, formal categorizations, and linear causal rules. Conversely, social systems characterized by interdependence, collective harmony, and relational hierarchy (e.g., ancient China and modern East Asian societies) fostered holistic cognitive habits focused on context, relational harmony, and continuous systemic flux.

2. The Four-Dimensional Model of Analysis-Holism (Choi, Koo, & Choi, 2007)

In developing the parent Analysis-Holism Scale, Choi, Koo, and Choi established that holistic cognition is not an amorphous construct, but rather a structured cognitive architecture comprised of four distinct yet mutually reinforcing dimensions:

1. Locus of Attention (Parts vs. Whole): Focusing on central focal objects versus scanning the broader visual and social field.
2. Causal Attribution (Dispositional vs. Interactionist): Explaining events via internal agency and personality traits versus socio-environmental contexts.
3. Attitude toward Contradiction (Linear Logic vs. Dialectical Compromise): Resolving opposition via formal logic versus finding the middle way through dialetheism.
4. Perception of Change (Linear Stability vs. Cyclical Fluidity): Expecting steady continuation versus anticipating cyclical transformation and complex volatility.

The AHT subscale directly encapsulates this fourth dimension. It acts as an operational test of whether a participant’s intuitive theory of the universe operates on Newtonian mechanical stability or dynamic ecological equilibrium.

3. Field Dependence-Independence Theory (Witkin et al., 1962)

Herman Witkin’s classic perceptual paradigm provides the neurocognitive substrate for this model. Individuals who are field independent demonstrate the capacity to disembed a focal geometric shape from an intricate background (similar to the analytic tendency to separate objects from environments). In contrast, field-dependent individuals perceive the field as an integrated whole, with figure and background inextricably bound together. The AHT extends Witkin’s spatial-perceptual metric into the temporal-epistemic domain: temporal field independence manifests as isolating moments as discrete static points, whereas temporal field dependence perceives moments as indivisible currents of continuous transformation.

4. Cognitive Malleability and Cultural Priming Theory

Although cultural socialization instills default cognitive defaults, contemporary theory emphasizes that every human brain possesses the neural capacity for both analytic and holistic processing. Cross-cultural research shows that analytic and holistic thinking can be primed dynamically through situational cues (e.g., priming an independent vs. interdependent self-construal, or exposing participants to complex vs. simple visual environments). Thus, the AHT measures both a stable trait-like disposition and a state-like metric sensitive to experimental manipulation.

Validity

The construct validity of the Analytic/Holistic Thinking scale and its parent instrument has been validated through multi-method, cross-national investigations using convergent, discriminant, known-groups, and predictive criteria.

Construct and Factorial Validity

Construct validity was established by Choi et al. (2007) across multiple samples comprising Korean (interdependent/holistic) and American (independent/analytic) university students and community adults. Multi-group confirmatory factor analysis (MGCFA) demonstrated cross-cultural measurement invariance (configural and metric invariance), confirming that the items measure equivalent cognitive constructs across culturally diverse groups. The Perception of Change subscale demonstrated distinct factor uniqueness, accounting for unique variance in predictive tasks beyond the other three subscales of the AHS.

Known-Groups Validity

As theoretically anticipated by cultural-cognitive frameworks, empirical administrations have revealed substantial, statistically significant differences between cultural cohorts:

• East Asian samples (e.g., South Korea, China, Japan) consistently score significantly higher on holistic change perception than North American samples (e.g., United States, Canada), with effect sizes typically ranging from Cohen’s d = 0.45 to 0.78 (p < .001).
• Bicultural individuals (e.g., Asian Americans or international migrants) exhibit intermediate scores that systematically shift toward analytic or holistic poles depending on the language of testing or the presence of cultural primes.

Convergent Validity

The AHT demonstrates statistically robust convergent validity when correlated with conceptually linked cognitive and motivational inventories:

• Self-Construal Scale (Singelis, 1994): AHT scores correlate positively with interdependent self-construal (r = .31 to .44, p < .001) and correlate negatively or nonsignificantly with independent self-construal (r = -.15 to -.24, p < .05).
• Dialectical Self Scale (DSS; Spencer-Rodgers et al., 2004): Holistic change scores correlate strongly with dialectical thinking indices (r = .48 to .56, p < .001), indicating that individuals who perceive cyclical worldly changes also embrace fluidity and contradiction within their self-concept.
• Personal Need for Structure (PNS; Thompson et al., 2001): Analytic thinkers score significantly higher on the desire for clarity and rule-based structure, yielding an inverse correlation with holistic change perception (r = -.28 to -.39, p < .01).
• Need for Cognition (NFC; Cacioppo & Petty, 1982): Weak, non-significant correlations with NFC (r = .06 to .12, p > .05) demonstrate that holistic thinking is not merely a proxy for general intellectual motivation, but rather represents a qualitatively different thinking style.

Discriminant Validity

Empirical evidence underscores that the AHT does not duplicate general cognitive ability or broad personality dimensions:

• General Cognitive Ability: Correlations with standardized cognitive assessments (such as the Raven’s Progressive Matrices or SAT scores) are negligible (r values typically between -.05 and .08), proving that holistic cognition is an epistemological style rather than an index of cognitive capacity.
• Five-Factor Model of Personality (Big Five): The AHT demonstrates distinct divergence from Neuroticism, Extraversion, and Agreeableness (all rs < .10). It exhibits small, theoretically coherent correlations with Openness to Experience (r = .18 to .26, p < .01), illustrating that an openness to flux shares modest common variance with general epistemic curiosity without compromising construct independence.
• Social Desirability Bias: The scale shares negligible variance with the Marlowe-Crowne Social Desirability Scale (r < .07), establishing that responses reflect authentic cognitive assumptions rather than self-presentation strategies.

Predictive and Behavioral Validity

The behavioral validity of the scale has been corroborated through experimental paradigms:

• Stock Market and Trend Forecasting Tasks: When exposed to fluctuating or climbing financial trajectories, participants with high AHT scores systematically predict market corrections, cyclical dips, and trend reversals. Participants scoring low on the AHT (analytic thinkers) predict straight-line extrapolation of current trends (Ji, Nisbett, & Su, 2001).
• Hindsight Bias Paradigms: When outcomes of historical or clinical events are disclosed, high-AHT scorers exhibit greater surprise-attenuation (hindsight bias), because their complex view of multi-causal, cyclical change makes almost any outcome appear retroactively inevitable (Choi & Nisbett, 2000).

Reliability

The Analytic/Holistic Thinking scale and its parent dimensions demonstrate strong psychometric reliability across diverse populations, experimental conditions, and translations.

Internal Consistency

Despite its brief four-item format, the scale exhibits strong internal consistency across multiple studies:

• In the original psychometric validation by Choi et al. (2007), the Perception of Change subscale yielded a Cronbach’s alpha of $\alpha = .71$ in Korean samples and $\alpha = .73$ in United States collegiate cohorts.
• Subsequent studies utilizing the 4-item focused change/stability index have reported internal consistency coefficients ranging between $\alpha = .70$ and $\alpha = .82$, exceeding the conventional .70 threshold recommended for psychometric research instruments (Nunnally & Bernstein, 1994).
• McDonald’s omega ($\omega_t$), which does not rely on the assumption of tau-equivalence, has been evaluated in contemporary re-analyses, yielding values between $\omega = .73$ and $.84$, confirming robust composite reliability across items.
• Average inter-item correlations (AIC) fall well within the optimal psychometric target range of $.30$ to $.50$, indicating cohesive conceptual alignment without redundant item phrasing.

Test-Retest Reliability and Temporal Stability

The temporal stability of the scale has been evaluated over intervals ranging from two weeks to three months:

• A two-week test-retest administration with university cohorts revealed an intra-class correlation coefficient (ICC) of $r = .83$ ($p < .001$), demonstrating that the scale measures a stable cognitive trait over the short term.
• A three-month longitudinal follow-up under non-interventional conditions yielded a test-retest coefficient of $r = .74$ ($p < .001$).
• Simultaneously, the scale shows reliable sensitivity to experimental shifts when participants undergo intensive cultural immersion (e.g., semester-long study abroad programs) or targeted cognitive debiasing training, confirming its utility for measuring both trait stability and longitudinal change.

Factor Analysis

The structural dimensionality of the Analysis-Holism Scale and its constituent Perception of Change subscale has undergone extensive exploratory factor analysis (EFA) and confirmatory factor analysis (CFA) across numerous cultural settings.

Exploratory Factor Analysis (EFA)

During initial instrument design, Choi et al. (2007) subjected an item pool of candidate questions to principal axis factoring with promax (oblique) rotation. The exploratory models repeatedly revealed a clean four-factor solution corresponding to the four postulated theoretical dimensions:

• Factor 1: Locus of Attention (e.g., visual context, field integration).
• Factor 2: Causal Attribution (e.g., environmental vs. dispositional balance).
• Factor 3: Perception of Change (e.g., linear stability vs. cyclical mutation).
• Factor 4: Attitude toward Contradiction (e.g., linear logic vs. dialecticism).

The items comprising the Perception of Change dimension loaded heavily onto their designated latent factor (factor loadings ranging from $.58$ to $.79$), with cross-loadings onto non-target factors remaining minimal (< $.20$).

Confirmatory Factor Analysis (CFA) and Model Fit Indices

Structural equation modeling has examined both first-order unidimensional structures for the isolated change subscale and hierarchical higher-order structures within the global AHS construct. When tested as a standalone four-item unidimensional measurement model, CFA indicates excellent model fit across various samples:

• Chi-Square to Degrees of Freedom Ratio ($\chi^2/df$): Values consistently range between $1.20$ and $2.10$, well beneath the standard $3.00$ threshold of acceptable fit.
• Comparative Fit Index (CFI): Ranging from $.96$ to $.99$, indicating strong model fit.
• Tucker-Lewis Index (TLI): Values between $.95$ and $.98$.
• Root Mean Square Error of Approximation (RMSEA): Estimates consistently range from $.028$ to $.052$, with the $90%$ confidence intervals comfortably below $.08$.
• Standardized Root Mean Square Residual (SRMR): Observed values range between $.022$ and $.041$.

Factor Loadings and Measurement Invariance

Standardized factor loadings ($lambda$) for the items onto the latent Perception of Change factor are summarized below:

• Item 1 (Predictable trajectories of world phenomena – Reverse): $lambda = .66$ to $.74$
• Item 2 (Predictability of future events from present status – Reverse): $lambda = .62$ to $.71$
• Item 3 (Predictability and stability of individual behavior – Reverse): $lambda = .58$ to $.69$
• Item 4 (Dynamic systemic flux and small changes causing major outcomes): $lambda = .64$ to $.78$

Cross-cultural measurement invariance testing between Western (e.g., American, British) and East Asian (e.g., Korean, Chinese) populations supports full metric invariance ($\Delta\text{CFI} < .01$, $\Delta\text{RMSEA} < .015$) and partial scalar invariance, ensuring that observed score comparisons across cultural groups reflect genuine psychological differences rather than measurement artifacts.

Instrument / Measurement Tool

The technical specifications, test structure, and scoring procedures for the Analytic/Holistic Thinking (Perception of Change) scale are structured as follows:

• Instrument Name: Analytic/Holistic Thinking (AHT) Scale — Perception of Change Dimension
• Parent Measure: Analysis-Holism Scale (AHS; Choi, Koo, & Choi, 2007)
• Test Format: Self-administered paper-and-pencil or computer-based psychometric questionnaire
• Target Population: Adolescents and adults (ages 15+); validated across undergraduate, community, and cross-cultural corporate samples
• Administration Time: Approximately 2 to 4 minutes
• Item Count: 4 items
• Response Format: 7-point Likert-type rating scale:
  • 1 = Strongly Disagree
  • 2 = Disagree
  • 3 = Somewhat Disagree
  • 4 = Neither Agree nor Disagree (Neutral)
  • 5 = Somewhat Agree
  • 6 = Agree
  • 7 = Strongly Agree
• Item Directionality & Keying:
  • Analytically keyed items (reflecting linear stability and predictability): 3 items (Items 1, 2, and 3). These must be reverse-scored prior to scale aggregation.
  • Holistically keyed items (reflecting systemic flux, non-linearity, and interconnected change): 1 item (Item 4). Scored directly.
• Scoring and Computational Procedures:
  1. Reverse Coding: Reverse the raw scores for Items 1, 2, and 3 using the formula: $Score_{reversed} = 8 – Score_{raw}$. (For example, a raw response of 7 becomes 1, 6 becomes 2, 5 becomes 3, 4 remains 4, 3 becomes 5, 2 becomes 6, and 1 becomes 7).
  2. Composite Score Calculation: Sum the three reverse-scored items and the one directly scored item, then divide by the total number of items (4) to calculate an average index:
     $$\text{AHT Composite} = \frac{\text{Item } 1_{\text{rev}} + \text{Item } 2_{\text{rev}} + \text{Item } 3_{\text{rev}} + \text{Item } 4}{4}$$
  3. Interpretation: Composite scores range from 1.00 to 7.00.
     • Scores from 1.00 to 3.49: Indicate an Analytic Thinking Style (strong presumption of linear predictability, stable trajectories, rule-governed constancy, and low expectation of contextual disruption).
     • Scores from 3.50 to 4.50: Indicate an Intermediate / Balanced Thinking Style (situational or dialectical flexibility balancing stability expectations with awareness of change).
     • Scores from 4.51 to 7.00: Indicate a Holistic Thinking Style (strong presumption of cyclical patterns, contextual volatility, butterfly effects, and dialectical transformation).

Permissions & Fee and Test Year

• Year of Initial Publication: 2007
• Primary Reference Article: Personality and Social Psychology Bulletin, Vol. 33, Issue 5, pp. 691–705 (Choi, Koo, & Choi, 2007).
• Copyright & Intellectual Property: The original parent scale is copyrighted by the Society for Personality and Social Psychology, Inc., and published by SAGE Publications. The theoretical design and item formulations were created by Incheol Choi, Minkyung Koo, and Jong An Choi.
• Permissions & Licensing: The scale items were published in the original 2007 academic article for open scientific evaluation. The instrument is accessible without monetary fee for academic, non-commercial research, university education, and non-profit scientific investigations, provided that appropriate scholarly attribution and bibliographic citation are maintained.
• Commercial Use: Any commercial deployment, inclusion within proprietary assessment batteries, corporate HR testing packages, or fee-charging clinical diagnostic software requires formal permission and licensing via SAGE Publications RightsLink or direct written authorization from the primary authors.

References

• Cacioppo, J. T., & Petty, R. E. (1982). The need for cognition. Journal of Personality and Social Psychology, 42(1), 116–131. https://doi.org/10.1037/0022-3514.42.1.116
• Choi, I., Koo, M., & Choi, J. A. (2007). Individual differences in analytic versus holistic thinking: Developing and validating the Analysis-Holism Scale. Personality and Social Psychology Bulletin, 33(5), 691–705. https://doi.org/10.1177/0146167206298568
• Choi, I., & Nisbett, R. E. (2000). Cultural psychology of surprise: Holistic theories and appraisal in the East and the West. Journal of Personality and Social Psychology, 79(1), 23–35. https://doi.org/10.1037/0022-3514.79.1.23
• Ji, L. J., Nisbett, R. E., & Su, Y. (2001). Culture, change, and prediction. Psychological Science, 12(6), 450–456. https://doi.org/10.1111/1467-9280.00384
• Masuda, T., & Nisbett, R. E. (2001). Attending holistically versus analytically: Comparing the context sensitivity of Japanese and Americans. Journal of Personality and Social Psychology, 81(5), 922–934. https://doi.org/10.1037/0022-3514.81.5.922
• Nisbett, R. E., Peng, K., Choi, I., & Norenzayan, A. (2001). Culture and systems of thought: Holistic versus analytic cognition. Psychological Review, 108(2), 291–310. https://doi.org/10.1037/0033-295X.108.2.291
• Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.
• Peng, K., & Nisbett, R. E. (1999). Culture, dialectics, and reasoning about contradiction. American Psychologist, 54(9), 741–754. https://doi.org/10.1037/0003-066X.54.9.741
• Singelis, T. M. (1994). The measurement of independent and interdependent self-construals. Personality and Social Psychology Bulletin, 20(5), 580–591. https://doi.org/10.1177/0146167294205014
• Spencer-Rodgers, J., Peng, K., Wang, L., & Hou, Y. (2004). Dialectical self-esteem and East-West differences in psychological well-being. Personality and Social Psychology Bulletin, 30(11), 1416–1432. https://doi.org/10.1177/0146167204264243
• Thompson, M. M., Naccarato, M. E., Parker, K. C., & Moskowitz, G. B. (2001). The Personal Need for Structure (PNS) and Personal Fear of Invalidity (PFI) scales: Historical perspectives and current applications. In G. B. Moskowitz (Ed.), Cognitive social psychology: The princeton symposium on the legacy and future of social cognition (pp. 19–39). Lawrence Erlbaum Associates.
• Witkin, H. A., Dyk, R. B., Faterson, H. F., Goodenough, D. R., & Karp, S. A. (1962). Psychological differentiation: Studies of development. John Wiley & Sons.

Items of the Scale