Organizational PsychologyPersonality AssessmentPsychometrics

Neutral Objects Satisfaction Questionnaire (NOSQ)

A comprehensive academic analysis of the Neutral Objects Satisfaction Questionnaire (NOSQ), developed by Joseph Weitz and adapted by Timothy A. Judge and Charles L. Hulin to measure affective disposition and the dispositional basis of job satisfaction.

memjavad
PUBLISHED
Scientifically Reviewed · Dr. Marwa Abd-Alazim · September 25, 2026
Medically & Scientifically Reviewed Verified: September 25, 2026
Dr. Marwa Abd-Alazim Ph.D.
Professor of Psychology • University of Kerbala
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This content undergoes rigorous scientific peer-review and medical editorial standards at Arab Psychology Network to ensure clinical accuracy, validity, and compliance with evidence-based guidelines from leading psychological and healthcare authorities (APA / WHO).

Abstract

The Neutral Objects Satisfaction Questionnaire (NOSQ), originally conceptualized by Joseph Weitz in 1952 and subsequently adapted and popularized by Timothy A. Judge and Charles L. Hulin in 1993, is one of the foundational instruments designed to capture individual differences in general affective disposition within organizational and psychological research. Rooted in the dispositional approach to job attitudes, the instrument measures an individual’s chronic tendency to evaluate ambient, mundane, and relatively neutral aspects of everyday life either favorably or unfavorably. By assessing reactions to ubiquitous stimuli that have little intrinsic emotional valence—such as “8½" x 11" paper,” “telephone service,” or “local speed limits”—the questionnaire minimizes situational contamination and isolates the respondent’s underlying evaluative frame of reference, often referred to in organizational literature as a dispositional “gripe index.” The instrument exists primarily in two major forms: the original 44-item inventory developed by Weitz (1952) and the psychometrically refined 25-item short form developed by Judge and Hulin (1993). Both versions utilize a 3-point categorical response format typically scored as 1 (Dissatisfied), 2 (Neutral), and 3 (Satisfied). Extensive psychometric evaluations demonstrate acceptable to good internal consistency (Cronbach’s alpha coefficients typically ranging from .70 to .85), notable longitudinal stability across multi-year intervals, and robust criterion-related validity in predicting job satisfaction, organizational commitment, life satisfaction, and subjective well-being. This article provides a comprehensive psychometric and theoretical analysis of the NOSQ, detailing its structural dimensions, historical lineage, factor analytic validity, reliability metrics, scoring procedures, and enduring utility in contemporary industrial-organizational psychology.

Keywords

Neutral Objects Satisfaction Questionnaire, NOSQ, Affective Disposition, Job Satisfaction, Joseph Weitz, Timothy A. Judge, Charles L. Hulin, Evaluative Disposition, Positive Affectivity, Negative Affectivity, Psychometrics, Industrial-Organizational Psychology

Authors

The Neutral Objects Satisfaction Questionnaire was originally conceived by Joseph Weitz (1916–1997) during his tenure at the Life Insurance Agency Management Association (LIAMA) and later expanded during his career as a professor of psychology at New York University. Weitz was a pioneer in industrial-organizational psychology who sought to identify why individuals placed within identical work environments reported divergent degrees of job satisfaction.

The questionnaire was revived, adapted, and brought into modern psychometric prominence by Timothy A. Judge, Ph.D., currently the Joseph A. Hank Family Professor of Management at the Mendoza College of Business, University of Notre Dame (formerly at Cornell University’s School of Industrial and Labor Relations, the University of Iowa, and the University of Florida), alongside Charles L. Hulin, Ph.D., Emeritus Professor of Psychology and Industrial/Organizational Psychology at the University of Illinois at Urbana-Champaign. Judge and Hulin systematically purified Weitz’s initial item pool to construct a 25-item short form with improved latent properties, using structural equation modeling to demonstrate that job satisfaction is in part an empirical reflection of affective disposition.

Subsequent psychometric validation, factor analytical clarification, and meta-analytic evaluation of the NOSQ were advanced by industrial-organizational researchers Kevin J. Eschleman (San Francisco State University) and Nathan A. Bowling (Wright State University), whose 2011 construct validation study provided crucial insights into the latent factor structure, construct overlaps, and criterion networks of the instrument.

Purpose

The primary purpose of the Neutral Objects Satisfaction Questionnaire is to assess an individual’s generalized affective disposition—a stable, trait-based propensity to view the world, life circumstances, and external stimuli through either a fundamentally positive or negative lens—without relying on self-reports directly tied to the workplace. In industrial, organizational, and personality psychology, understanding the etiology of job attitudes has historically been complicated by situational conflation. When researchers ask employees to rate their satisfaction with their supervisor, compensation, or promotional prospects, the responses inevitably reflect a compound mixture of objective working conditions and subjective individual perceptual tendencies.

The NOSQ was deliberately engineered to disentangle these intertwined sources of variance. By confronting respondents with ubiquitous, mundane, or emotionally benign aspects of daily life—objects and environmental fixtures to which virtually everyone is exposed and which do not naturally elicit extreme emotional reactions—the instrument reduces the variance attributable to objective situational characteristics. Consequently, systematic variance in ratings across these items is presumed to originate from the respondent’s internal disposition. An individual who expresses chronic dissatisfaction with common items such as “the way people drive,” “telephone service,” or “8½" x 11" paper” is manifesting a generalized negative evaluative tendency, whereas an individual who consistently evaluates these items favorably manifests a positive evaluative tendency.

In applied research, the NOSQ serves several essential purposes:

  • Controlling for Dispositional Variance: It enables organizational researchers to control statistically for dispositional affectivity when evaluating the impact of organizational interventions, job redesign, leadership changes, or ergonomic modifications.
  • Theoretical Investigation of Job Satisfaction: It operationalizes the dispositional perspective of job satisfaction, validating whether job attitudes remain moderately stable across time and organizational settings independently of objective working conditions.
  • Longitudinal Well-Being and Health Studies: It facilitates the investigation of how baseline evaluative dispositions moderate the relationship between occupational stressors, psychological strain, somatic complaints, and voluntary turnover.
  • Mitigating Common Method Variance: Because the NOSQ items are contextualized outside of the workplace and focus on everyday neutral objects, utilizing the NOSQ to measure dispositional affect circumvents the common method bias that arises when both affective predictors and job satisfaction criteria share explicit workplace terminology.

Psychological Construct

The core psychological construct measured by the NOSQ is affective disposition (also conceptualized as a generalized evaluative frame of reference or dispositional affectivity). Affective disposition refers to an enduring, trait-like orientation that colors an individual’s cognitive appraisal and affective evaluation of everyday occurrences, social interactions, material objects, and institutional environments. The theoretical architecture of the NOSQ posits that this evaluative frame of reference acts as an internal filter through which all subjective experiences are processed.

The Concept of Neutrality in Stimulus Selection

The defining innovation of the NOSQ lies in its deliberate operationalization of affect through “neutral objects.” Unlike traditional trait affect measures (such as the Positive and Negative Affect Schedule (PANAS)), which ask respondents to describe the frequency or intensity with which they experience specific emotional states (e.g., “excited,” “nervous,” “enthusiastic,” “irritable”), the NOSQ assesses cognitive-affective evaluations of external stimuli. The foundational premise is that if a stimulus possesses substantial, objectively verifiable quality variations or strong social valence (such as a life-threatening illness or winning a lottery), individual reactions will be primarily driven by the situation. Conversely, when stimuli are commonplace, functionally standardized, and emotionally ambiguous (e.g., “8½" x 11" paper” or “your telephone number”), variance in evaluation cannot be parsimoniously attributed to situational properties; it reflects the internal affective disposition of the evaluator.

Bipolarity versus Dual-Factor Trait Models

A central psychometric and conceptual question regarding the NOSQ construct is whether affective disposition represents a single bipolar continuum (ranging from generalized dissatisfaction to generalized satisfaction) or two separable, quasi-independent dimensions corresponding to Positive Affectivity (PA) and Negative Affectivity (NA). Weitz (1952) and Judge and Hulin (1993) initially conceptualized the measure as a unidimensional bipolar scale. In this model, high scores denote a predominantly positive frame of reference, intermediate scores reflect neutrality or balanced appraisals, and low scores denote a generalized critical or “griping” orientation.

However, subsequent analyses, notably by Eschleman and Bowling (2011), demonstrated that when the item content is subjected to nuanced latent variable modeling, the NOSQ shares empirical linkages with both Positive Affectivity and Negative Affectivity, as well as the broader dimensions of the Five-Factor Model (specifically Neuroticism and Extraversion). Individuals with high negative affectivity tend to utilize the “Dissatisfied” anchor across diverse items, while those high in positive affectivity lean toward “Satisfied.” Thus, while often scored as an aggregate unidimensional index, the construct encompasses both an individual’s capacity to find contentment in mundane reality and their propensity to register irritations with imperfect systemic elements (such as traffic, taxes, or local speed limits).

Sub-domains of Everyday Environment

Although the scale was engineered to represent a generalized, unifactorial disposition, its 44 items encompass several broad operational spheres of everyday life:

  • Standardized Physical Artifacts: Ubiquitous, standardized objects such as “8½" x 11" paper,” “today’s automobiles,” and “the last suit you bought.”
  • Civic and Institutional Realities: Broad socio-political fixtures that individuals possess limited power to control, including “local political situation,” “sales tax,” “public transportation,” and “income tax.”
  • Immediate Environmental Context: Ambient conditions such as “the city in which you live,” “the climate where you live,” and “the way local traffic is handled.”
  • Self and Immediate Identity: Highly personal, highly familiar attributes including “yourself,” “your first name,” and “the way you were raised.”
  • Cultural and Leisure Outlets: Common cultural products such as “popular music,” “contemporary art,” “television programs,” and “restaurant food.”

Theoretical Framework

The theoretical framework of the NOSQ sits at the intersection of cognitive psychology, personality theory, and industrial-organizational behavior. Specifically, it builds upon three major theoretical foundations: Weitz’s Frame of Reference Theory, the Dispositional Perspective of Job Attitudes, and Cognitive-Affective Processing Models.

Weitz’s Frame of Reference Hypothesis

In 1952, Joseph Weitz published his seminal paper, “A neglected concept in the study of job satisfaction,” in which he argued that industrial psychologists had fundamentally misconstrued employee dissatisfaction. Weitz posited that satisfaction is not merely a direct output of work inputs and rewards, but is heavily mediated by an internal, individualized frame of reference. Weitz hypothesized that some individuals maintain a chronically low threshold for dissatisfaction; they are inherently prone to express discontent regardless of how favorable their objective environment becomes. Conversely, others maintain a benign frame of reference, habitually finding acceptable qualities in imperfect situations. Weitz proposed that an employee’s expressed job satisfaction could only be accurately interpreted if it was calibrated against their general baseline tendency to complain or be pleased—what he termed a “gripe index.”

The Modern Dispositional Perspective in Organizational Behavior

Weitz’s ideas lay largely dormant for decades during the ascendancy of situational and social information processing paradigms. However, in the mid-1980s, researchers such as Barry M. Staw, Jerry Ross, and Nancy E. Bell reignited interest in dispositional explanations of job attitudes (Staw & Ross, 1985; Staw, Bell, & Clausen, 1986). They demonstrated that job satisfaction was remarkably stable over time (even across decades) and across radical career transitions involving changes in employer, occupation, and socio-economic status.

Despite these provocative findings, critics (such as Charles O’Reilly and Gary Johns) argued that stability across time could be caused by unmeasured situational consistency rather than personality traits. It was in response to this theoretical impasse that Timothy A. Judge and Charles L. Hulin (1993) retrieved Weitz’s NOSQ. Judge and Hulin argued that if a direct, non-occupational measure of affective disposition (the NOSQ) could statistically predict job satisfaction within complex structural equation models—even after accounting for job characteristics, supervisor behaviors, and compensation—the validity of the dispositional perspective would be conclusively supported. Their empirical success established the NOSQ as a canonical operationalization of dispositional affectivity in management and vocational psychology.

Cognitive-Affective Processing and Perceptual Filtering

From a modern cognitive-affective perspective, the mechanism linking NOSQ responses to broader life attitudes is explained by associative network models of memory (Bower, 1981) and information-processing schemas. Chronic dispositional affect acts as an active heuristic filter. Individuals with a negative affective disposition preferentially attend to, encode, and retrieve negative attributes of any given stimulus. When asked to evaluate an innocuous stimulus like “restaurant food” or “local speed limits,” they spontaneously retrieve instances of poor service or inconvenient delays. Conversely, individuals characterized by positive affective disposition retrieve instances of enjoyable meals or safe roads. Because the NOSQ items lack strong intrinsic affective signals, they serve as quasi-projective cognitive targets that reveal the respondent’s underlying schema-driven processing defaults.

Validity

The psychometric validity of the NOSQ has been subjected to rigorous empirical testing across diverse samples, including university employees, health care workers, executives, life insurance agents, and military personnel.

Construct Validity

Construct validity evaluates whether the NOSQ genuinely measures a broad, stable affective disposition rather than fleeting mood or specific situational attitudes. In their comprehensive construct validation of the NOSQ, Eschleman and Bowling (2011) systematically evaluated the instrument across multiple samples. They established that the NOSQ exhibits significant correlations with recognized dispositional affectivity scales, including the Positive and Negative Affect Schedule (PANAS) and broad personality dimensions. NOSQ scores consistently correlate positively with trait Positive Affectivity ($r \approx .35$ to $.50$) and trait Extraversion ($r \approx .25$ to $.40$), while exhibiting moderate to strong negative correlations with trait Negative Affectivity ($r \approx -.30$ to $-.45$) and Neuroticism ($r \approx -.30$ to $-.45$). These correlations confirm that the NOSQ successfully taps the affective core of personality without simply duplicating explicit emotional adjective inventories.

Convergent and Discriminant Validity

Convergent validity is evidenced by the NOSQ’s predictable relationships with other well-established well-being constructs. It correlates robustly with Diener’s Satisfaction with Life Scale (SWLS) ($r \approx .40$ to $.55$) and measures of Subjective Well-Being (SWB). Furthermore, it relates systematically to Judge, Locke, and Durham’s (1997) construct of Core Self-Evaluations (CSE)—a higher-order construct composed of self-esteem, generalized self-efficacy, locus of control, and emotional stability.

Discriminant validity has been demonstrated by showing that the NOSQ does not correlate meaningfully with cognitive ability (general mental ability, $g$), social desirability scales (such as the Marlowe-Crowne Social Desirability Scale, with correlations typically below $|.15|$), or specific technical skill metrics. Moreover, confirmatory factor analyses demonstrate that latent factors of the NOSQ are distinguishable from latent constructs of specific job facets (such as satisfaction with work itself, supervision, pay, and promotional opportunities as measured by the Job Descriptive Index).

Predictive and Criterion-Related Validity

The primary criterion against which the NOSQ has been validated is overall and facet-specific job satisfaction. Judge and Hulin (1993) demonstrated using structural equation modeling that the NOSQ had a substantial, direct causal path to job satisfaction ($eta = .38, p < .001$), explaining unique variance beyond objective job characteristics. In a longitudinal extension, Judge (1992) demonstrated that affective disposition measured via the NOSQ significantly moderated the relationship between job satisfaction and voluntary turnover; employees dissatisfied with their jobs were significantly more likely to quit if their NOSQ scores indicated a positive disposition (meaning their job dissatisfaction was situational and driven by genuine organizational shortcomings) than if their NOSQ scores indicated a chronically negative disposition (where dissatisfaction was an invariant personal baseline).

Additionally, criterion-related validity has been documented in occupational health domains: low NOSQ scores predict higher rates of emotional exhaustion (burnout), somatic health complaints, workplace absenteeism, and counterproductive work behaviors (CWBs), whereas high NOSQ scores predict proactive coping, organizational citizenship behaviors (OCBs), and career longevity.

Reliability

The Neutral Objects Satisfaction Questionnaire has consistently demonstrated sound psychometric reliability across its original and revised versions.

Internal Consistency

Internal consistency estimates (primarily quantified via Cronbach’s coefficient alpha, $lpha$) vary slightly depending on whether the full 44-item version or the shortened 25-item version is administered, but both remain solidly within acceptable psychometric thresholds for basic and applied research:

  • Weitz (1952) 44-Item Instrument: Initial and subsequent studies report internal consistency estimates ranging from $lpha = .72$ to $lpha = .86$. Given the intentional heterogeneity of the stimulus objects—ranging from personal items like one’s first name to macro-political entities like foreign policy—an alpha above .80 indicates a surprisingly robust underlying common variance.
  • Judge & Hulin (1993) 25-Item Short Form: By pruning items that exhibited weak item-total correlations or excessive situational volatility, Judge and Hulin achieved coefficient alphas ranging between $lpha = .75$ and $lpha = .84$ across multiple organizational samples. In Judge’s (1992) sample of health care professionals, the reliability was reported at $lpha = .82$.
  • Eschleman & Bowling (2011) Re-evaluations: Across three distinct validation samples, Eschleman and Bowling reported alpha coefficients of .78, .81, and .80 for the 25-item NOSQ, alongside composite reliability ($
    ho_c$) values exceeding .80 in structural equation models.

Temporal Stability (Test-Retest Reliability)

A crucial theoretical requirement for any instrument claiming to measure affective disposition is temporal stability. If the NOSQ merely reflected transient daily moods, its test-retest coefficients across extended time intervals would be low. Empirical studies reveal impressive longitudinal consistency:

  • Over short intervals (2 to 4 weeks), test-retest reliability estimates range between $r_{tt} = .75$ and $.85$.
  • Over intermediate intervals (6 months to 1 year), stability coefficients remain high, typically falling between $r_{tt} = .65$ and $.72$.
  • In multi-year longitudinal assessments spanning several years across changing employment circumstances, the NOSQ demonstrates residual stability coefficients exceeding $r_{tt} = .50$, indicating that it captures an enduring trait-level phenomenon that withstands major life transitions.

Factor Analysis

The structural dimensionality of the NOSQ has been a focal point of psychometric investigation, shifting from early assumptions of unidimensionality to more refined multidimensional and bifactor representations.

Exploratory Factor Analysis (EFA)

Early factor analytic work by Weitz (1952) did not employ modern computerized factor extraction, relying instead on item-total correlation analysis. When modern exploratory factor analysis (such as principal axis factoring with oblimin or varimax rotation) has been applied to the 44-item and 25-item pools, the eigenvalues routinely show a prominent, dominant first factor, supporting the traditional practice of computing a single composite score. This dominant factor accounts for the largest proportion of common variance, with items such as “the city in which you live,” “the climate where you live,” “today’s cars,” and “restaurant food” displaying strong positive loadings ($lambda > .45$).

However, secondary factors regularly emerge in unconstrained exploratory extractions. These secondary factors tend to cluster around specific content domains rather than divergent personality dimensions:

  1. Civic and Socio-Political Evaluations: Items such as “local political situation,” “national political situation,” “income tax,” and “sales tax” frequently load together on a civic-institutional factor.
  2. Immediate Self-Referential Evaluations: Items like “yourself,” “your first name,” and “the way you were raised” occasionally coalesce into an identity/self-worth factor.
  3. Mundane Artifacts: Items such as “8½" x 11" paper” and “telephone service.”

Confirmatory Factor Analysis (CFA)

Judge and Hulin (1993) utilized confirmatory factor analysis via LISREL to assess the fit of a single-factor model representing general affective disposition. Their 25 purified items were selected specifically because they converged adequately onto a single latent construct. While fit indices in early studies were constrained by categorical estimation methods, the unidimensional model achieved acceptable fit relative to competing non-dispositional specifications.

In a detailed CFA examination, Eschleman and Bowling (2011) compared several competing structural models for the 25-item NOSQ:

  • Single-Factor Model: The traditional unifactorial model yielded marginal fit indices in large samples ($\chi^2 / df > 3.0$, $ ext{CFI} pprox .82 – .87$,$ ext{TLI} pprox .80 – .85$,$ ext{RMSEA} pprox .06 – .08$), reflecting the inherent complexity of evaluating diverse external items.
  • Two-Factor Model (Positive vs. Negative Valence Framing): A model separating items that tend to elicit default satisfaction from those that tend to elicit default critique improved fit significantly ($Delta chi^2, p < .001$).
  • Bifactor Model: A bifactor representation—specifying a broad, general affective disposition factor alongside orthogonal group factors for specific domains (e.g., civic/political, personal identity, material goods)—provided the best fit to empirical data ($ ext{CFI} > .92$,$ ext{TLI} > .90$,$ ext{RMSEA} < .05$). Importantly, the general dispositional factor accounted for the vast majority of the reliable variance, confirming that despite minor domain clustering, scoring the NOSQ as a composite, single-score index is psychometrically justified.

Instrument / Measurement Tool

The technical parameters, operational specifications, and administration protocols for the Neutral Objects Satisfaction Questionnaire are structured as follows:

  • Test Type: Standardized self-report dispositional assessment / indirect measure of affective disposition.
  • Target Population: Adults and working-age populations (aged 18 and older); adaptable to general community and vocational samples.
  • Administration Format: Individual or group administration; paper-and-pencil, computer-assisted, or online survey delivery.
  • Administration Time:
    • Full 44-Item Version (Weitz, 1952): Approximately 8 to 12 minutes.
    • Short 25-Item Form (Judge & Hulin, 1993): Approximately 4 to 6 minutes.
  • Number of Items: 44 items in the comprehensive Weitz (1952) inventory; 25 items in the Judge and Hulin (1993) shortened research inventory.
  • Response Scale: 3-point categorical rating scale:
    • 1 = Dissatisfied
    • 2 = Neutral
    • 3 = Satisfied

    (Note: Some modern experimental variants have examined 5-point or 7-point Likert-type scales ranging from Highly Dissatisfied to Highly Satisfied, but the standard psychometrically validated benchmark remains the authentic 3-point format).

  • Scoring and Quantification Protocol:
    • Overall Composite Score: Sum or mean of all completed item responses. On a 3-point scale, mean scores range from 1.00 to 3.00 (or sum scores from 44 to 132 for the 44-item version; 25 to 75 for the 25-item version).
    • Reverse Scoring: None. All items are positively keyed toward satisfaction; higher numerical values directly signify a more positive affective disposition.
    • Interpretation Benchmarks:
      • Low Scores (< 2.00 Mean): Indicates a critical, dissatisfied frame of reference; high predisposition toward negative affectivity and elevated “gripe” tendencies.
      • Moderate Scores (2.00 – 2.40 Mean): Indicates a balanced or normative evaluative disposition with average levels of critical appraisal.
      • High Scores (> 2.40 Mean): Indicates a positive, benign affective disposition; chronic tendency to find contentment in everyday, mundane environmental conditions.

Permissions & Fee and Test Year

The Neutral Objects Satisfaction Questionnaire was introduced in 1952 by Joseph Weitz in his foundational article published in Personnel Psychology. The shortened 25-item adaptation was developed in 1993 by Timothy A. Judge and Charles L. Hulin, published in Organizational Behavior and Human Decision Processes (with an earlier precursor in Judge’s 1992 Cornell University CAHRS Working Paper #92-19).

In accordance with standard academic conventions, the instrument is considered to be in the public domain for non-commercial academic research and educational purposes. Researchers wishing to administer the scale in scientific investigations, master’s theses, or doctoral dissertations are generally free to utilize the published items without royalty fees, provided proper bibliographic attribution is granted to Weitz (1952) and Judge and Hulin (1993). Dr. Timothy A. Judge has historically maintained open-access resources for the NOSQ on his academic faculty websites and institutional repositories (such as the Cornell Center for Advanced Human Resource Studies repository). For commercial, proprietary, or organizational consulting applications (such as employment screening or corporate talent audits), practitioners should verify appropriate fair-use boundaries or seek explicit clearance from the copyright-holding academic publishers.

References

  • Bower, G. H. (1981). Mood and memory. American Psychologist, 36(2), 129–148. https://doi.org/10.1037/0003-066X.36.2.129
  • Eschleman, K. J., & Bowling, N. A. (2011). A construct validation of the Neutral Objects Satisfaction Questionnaire (NOSQ). Journal of Business and Psychology, 26(4), 501–515. https://doi.org/10.1007/s10869-010-9204-6
  • Judge, T. A. (1992). Does affective disposition moderate the relationship between job satisfaction and voluntary turnover? (CAHRS Working Paper Series, Paper 303). Cornell University, School of Industrial and Labor Relations, Center for Advanced Human Resource Studies. https://digitalcommons.ilr.cornell.edu/cahrswp/303
  • Judge, T. A., & Hulin, C. L. (1993). Job satisfaction as a reflection of disposition: A multiple-source causal analysis. Organizational Behavior and Human Decision Processes, 56(3), 388–421. https://doi.org/10.1006/obhd.1993.1061
  • Judge, T. A., Locke, E. A., & Durham, C. C. (1997). The dispositional causes of job and life satisfaction: The role of core evaluations. Research in Organizational Behavior, 19, 151–188.
  • Staw, B. M., Bell, N. E., & Clausen, J. A. (1986). The dispositional approach to job attitudes: A lifetime longitudinal test. Administrative Science Quarterly, 31(1), 56–77. https://doi.org/10.2307/2392766
  • Staw, B. M., & Ross, J. (1985). Stability in the midst of change: A alternative approach to job satisfaction and the job enrichment debate. Journal of Applied Psychology, 70(3), 469–480. https://doi.org/10.1037/0021-9010.70.3.469
  • Watson, D., Clark, L. A., & Tellegen, A. (1988). Development and validation of brief measures of positive and negative affect: The PANAS scales. Journal of Personality and Social Psychology, 54(6), 1063–1070. https://doi.org/10.1037/0022-3514.54.6.1063
  • Weitz, J. (1952). A neglected concept in the study of job satisfaction. Personnel Psychology, 5(3), 201–205. https://doi.org/10.1111/j.1744-6570.1952.tb01010.x

13. Items of the Scale (Questionnaire)

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:
1

The city in which you live
2

The house or apartment in which you live
3

The area of the city in which you live
4

The high school you attended
5

The climate where you live
6

The movies being produced
7

Local political situation
8

National political situation
9

Our foreign policy
10

Your last job
11

Food prices
12

Today’s automobiles
13

Opportunities to get ahead
14

Local newspapers
15

Automobile prices
16

The last suit you bought
17

The amount of time you have for recreation
18

Your last boss
19

The college you attended
20

Your first name
21

The people you know
22

Radio programs
23

Television programs
24

Local speed limits
25

The way people drive
26

The way local traffic is handled
27

Your present job
28

Advertising methods
29

The way you were raised
30

Telephone service
31

Income tax
32

Public transportation
33

General public attitude toward voting
34

The school your child is attending
35

Restaurant food
36

Sales tax
37

Women’s clothing styles
38

Yourself
39

Contemporary art
40

Popular music
41

Movie censorship
42

Book censorship
43

8½" x 11" paper
44

Your telephone number
★

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Cite This Article

memjavad (2026, September 25). Neutral Objects Satisfaction Questionnaire (NOSQ). PSYCHOLOGICAL DATABASE. https://en.arabpsychology.com/scales/neutral-objects-satisfaction-questionnaire-nosq/
memjavad. “Neutral Objects Satisfaction Questionnaire (NOSQ).” PSYCHOLOGICAL DATABASE, 25 September 2026, https://en.arabpsychology.com/scales/neutral-objects-satisfaction-questionnaire-nosq/.
memjavad. “Neutral Objects Satisfaction Questionnaire (NOSQ).” PSYCHOLOGICAL DATABASE. September 25, 2026. https://en.arabpsychology.com/scales/neutral-objects-satisfaction-questionnaire-nosq/.