Internet Usage (Time) (INTTIME)

1. Abstract

The Internet Usage (Time) (INTTIME) scale is a specialized, four-item self-report psychometric instrument developed by consumer behavior and marketing researchers Charla Mathwick and Edward E. Rigdon in 2004. Originally introduced in their seminal investigation titled “Play, Flow, and the Online Search Experience” published in the Journal of Consumer Research, the instrument was formulated to capture subjective volume, duration, and frequency of internet utilization as a stable individual difference variable. Rather than relying solely on objective clickstream logs or minute-by-minute behavioral tracking, INTTIME assesses an individual’s perceived heavy usage relative to normative benchmarks and social comparisons. The scale utilizes a 7-point Likert scale anchored from 1 (“Strongly Disagree”) to 7 (“Strongly Agree”), with all four items positively keyed to yield a unidimensional composite score through summation or arithmetic averaging.

Psychometric evaluations demonstrate robust internal consistency, with initial structural equation modeling yielding composite reliabilities and Cronbach’s alpha coefficients consistently exceeding α = .88. Confirmatory factor analysis demonstrates strong convergent validity, with standardized factor loadings surpassing .78 across all indicators, and distinct discriminant validity against related constructs such as situational internet search playfulness, experiential flow, and enduring telepresence. In contemporary digital research, INTTIME serves as an indispensable tool for marketing analysts, media psychologists, and human-computer interaction (HCI) scholars seeking to evaluate digital engagement, user segmentation, media saturation, and the boundary conditions governing cognitive absorption and flow in virtual environments.

2. Keywords

Internet Usage, INTTIME, Online Search Experience, Flow Theory, Consumer Behavior, Subjective Time Perception, Heavy Internet Use, Media Frequency, Psychometrics, Structural Equation Modeling, Digital Engagement

3. Authors

The INTTIME scale was conceptualized, operationalized, and psychometrically validated by:

• Charla Mathwick, Ph.D. — Professor of Marketing at the School of Business, Portland State University, Portland, Oregon, United States. Dr. Mathwick is a widely cited authority on experiential value, online consumer search, digital retailing, and online social community dynamics.
• Edward E. Rigdon, Ph.D. — Professor Emeritus of Marketing and Robinson College of Business Research Fellow at Georgia State University, Atlanta, Georgia, United States. Dr. Rigdon is an internationally acclaimed methodologist recognized for his foundational contributions to structural equation modeling (SEM), partial least squares (PLS-SEM), and psychometric measurement theory in business and behavioral disciplines.

4. Purpose

The primary purpose of the Internet Usage (Time) (INTTIME) scale is to assess an individual’s perceived volume, temporal commitment, and relative frequency of web usage as an enduring behavioral disposition. In psychological, marketing, and media studies, measuring media exposure through objective logging tools (e.g., system logs, network tracking cookies, or passive screen-time monitors) frequently captures nominal connection time rather than psychologically salient engagement. Moreover, retrospective estimates of absolute daily minutes or hours often suffer from significant recall bias, rounding artifacts, and severe cognitive distortion due to variations in time perception during absorption or leisure activities.

To overcome these limitations, Mathwick and Rigdon (2004) engineered the INTTIME instrument to capture subjective heavy internet usage as an individual difference characteristic. The scale accomplishes this by combining absolute perceptions of time spent online with normative social comparisons (e.g., evaluating one’s usage relative to peers) and self-categorization as a “heavy user.” In empirical research, this approach enables investigators to identify how baseline digital familiarity, prolonged virtual exposure, and accumulated usage experience moderate online cognitive processes, cognitive absorption, utilitarian task completion, and hedonic web navigation.

In applied and academic contexts, INTTIME is widely used to:

• Control for baseline digital experience when modeling navigational efficiency, information processing, and website usability.
• Examine the boundaries between functional digital proficiency and problematic media overuse, distinguishing normative intensive engagement from pathological internet behavior.
• Segment digital consumer populations based on psychological immersion and platform familiarity, aiding commercial interface developers and media strategists.
• Provide a reliable covariate in structural models assessing flow theory, telepresence, virtual playful search, and e-commerce shopping outcomes.

5. Psychological Construct

The psychological construct underlying INTTIME is Subjective Heavy Internet Usage, conceptualized as a unidimensional individual difference variable that reflects an individual’s self-attributed time investment, frequency of access, and comparative assessment of digital consumption. Rather than treating online behavior merely as an operational metric of physical interaction, the construct reflects the psychological prominence and perceived saturation of digital media in a person’s everyday behavioral repertoire.

Core Facets of the Construct

• Perceived Temporal Volume: The subjective assessment that one dedicates a substantial, non-trivial proportion of time to online navigation. Unlike chronometric logs that fail to differentiate between passive background streaming and active browsing, perceived volume captures cognitively registered engagement with online environments.
• Normative Relative Exposure: The conscious calibration of one’s internet habits against social reference groups. As social comparison theory suggests, individuals form self-evaluations by contrasting their own behavior against perceived societal norms. Item 2 specifically captures this cognitive comparison (“Compared to other people, I spend a lot of time on the Internet”), standardizing internal baselines across diverse populations.
• Behavioral Repetition and Habitual Frequency: The perception of high interaction density throughout daily routines. High frequency denotes that internet access is not an episodic, isolated event, but a continuous, pervasive thread embedded in social, informational, and recreational functioning.
• Self-Identity as an Intensive Digital Consumer: The explicit self-categorization as a “heavy user.” In social cognitive paradigms, self-identity guides behavioral self-regulation and reflects accumulated experiential knowledge, technological self-efficacy, and a reduced cognitive threshold for navigating complex virtual environments.

6. Theoretical Framework

The INTTIME scale is grounded in the intersection of Flow Theory (Csikszentmihalyi, 1975, 1990) and human-computer media interaction frameworks developed by Hoffman and Novak (1996). Mihaly Csikszentmihalyi defined flow as a state of optimal experience characterized by intense concentration, merging of action and awareness, loss of reflective self-consciousness, a distorted sense of time (time transformation), and an autotelic experience where the activity is intrinsically rewarding.

When extending flow theory to computer-mediated environments (CMEs), Hoffman and Novak (1996) posited that continuous consumer engagement in hypermedia environments requires an alignment between challenge and skill, moderated by primary objective characteristics such as speed, vividness, and accumulated telepresence. Mathwick and Rigdon (2004) refined this conceptual model by examining how subjective user characteristics influence experiential browsing. They hypothesized that individuals who spend extensive time on the internet develop cognitive schemas and procedural heuristics that alter their susceptibility to digital flow.

Specifically, habitual and frequent internet interaction lowers the structural friction and operational challenges of the medium, enabling heavy users to effortlessly transition from goal-directed searching to exploratory, playful engagement. When technological mechanics become automated through extensive exposure, cognitive load is reduced, freeing attentional bandwidth for playfulness, intrinsic enjoyment, and psychological absorption. Consequently, INTTIME serves as a theoretical bridge linking accumulated behavioral exposure with perceptual cognitive states during human-computer interaction.

7. Validity

Extensive psychometric validation of the INTTIME instrument was established by Mathwick and Rigdon (2004) using structural equation modeling (SEM) on a diverse sample of online consumers engaging in information retrieval and transactional browsing tasks.

Construct and Convergent Validity

Convergent validity evaluates whether the observed indicators accurately reflect the latent construct. In the initial measurement model, all four standardized factor loadings for INTTIME exceeded λ = .78 (ranging from .79 to .89), with each parameter estimate achieving statistical significance at p < .001. The average variance extracted (AVE) surpassed the recommended .50 benchmark (reaching approximately .71), demonstrating that the majority of variance observed across indicators is directly attributable to the latent construct of subjective internet usage rather than measurement error.

Discriminant Validity

Discriminant validity was established using the rigorous Fornell-Larcker criterion and nested chi-square difference testing. The square root of the AVE for INTTIME was substantially higher than the inter-construct correlations observed between INTTIME and other key dimensions, including:

• Playful Search Exploration: The correlation between subjective time and playfulness remained modest to moderate (r ≈ .24 to .35), confirming that time spent online is structurally distinct from the hedonic pleasure derived during navigation.
• Enduring Flow and Telepresence: INTTIME displayed distinct discriminant boundaries against experiential absorption, indicating that high volume of usage is an antecedent or baseline behavioral condition rather than synonymous with cognitive flow.
• Information Retrieval Performance: The scale discriminated cleanly from utilitarian outcomes, such as transaction intention and perceived search efficiency.

Predictive and Nomological Validity

Nomological validity was verified through structural path estimation. In the structural model tested by Mathwick and Rigdon (2004), INTTIME demonstrated statistically significant predictive relationships with digital competence, experiential navigation tendencies, and frequency of online purchases, validating its function within broader consumer behavioral models.

8. Reliability

The INTTIME scale demonstrates high levels of internal consistency and scale reliability across empirical investigations. In the foundational validation study by Mathwick and Rigdon (2004), the instrument yielded a Cronbach’s alpha (α) coefficient of .88 and a composite reliability (CR) of .89, comfortably exceeding the standard psychometric threshold of .70 recommended by Nunnally and Bernstein.

Subsequent empirical replications and cross-sectional studies in marketing, telecommunications, and digital psychology have reported internal consistency coefficients ranging between α = .84 and α = .92. Furthermore, the average inter-item correlation across the four items routinely exceeds .60, confirming strong item homogeneity without introducing excessive redundancy. Given its brief four-item structure, the scale achieves an optimal balance between high statistical power and minimal survey fatigue, making it suitable for complex structural questionnaires and longitudinal panel surveys.

9. Factor Analysis

Mathwick and Rigdon (2004) confirmed the structural stability of INTTIME through rigorous Confirmatory Factor Analysis (CFA) within a covariance-based SEM framework using maximum likelihood estimation.

Factor Loadings and Variance

The four indicators load onto a single, robust latent factor. Standardized factor loadings across the four items are detailed below:

• Item 1 (“I spend a lot of time on the Internet”): λ ≈ .85
• Item 2 (“Compared to other people, I spend a lot of time on the Internet”): λ ≈ .81
• Item 3 (“The frequency with which I use the Internet is high”): λ ≈ .88
• Item 4 (“I consider myself to be a heavy user of the Internet”): λ ≈ .83

Model Fit Indices

When evaluated as part of the overarching measurement model, the multi-item battery achieved excellent fit indices conforming to modern psychometric standards (Hu & Bentler, 1999):

• Chi-Square / Degrees of Freedom ratio (χ²/df): < 2.50
• Comparative Fit Index (CFI): > .95
• Tucker-Lewis Index (TLI / NNFI): > .94
• Root Mean Square Error of Approximation (RMSEA): < .055 (with 90% confidence intervals spanning .035 to .068)
• Standardized Root Mean Square Residual (SRMR): < .042

These findings demonstrate that the four items constitute a strictly unidimensional scale, free from problematic cross-loadings or substantial correlated measurement errors.

10. Instrument / Measurement Tool

The operational specifications of the Internet Usage (Time) instrument are summarized below:

• Instrument Name: Internet Usage (Time) Scale
• Acronym: INTTIME
• Primary Reference: Mathwick, C., & Rigdon, E. (2004)
• Target Domain: Perceived digital media usage volume, frequency, and self-categorized heavy internet engagement
• Administration Format: Paper-and-pencil questionnaire, web-based survey, or mobile testing platform
• Completion Time: Approximately 1 to 2 minutes
• Item Count: 4 items
• Response Format: 7-point Likert scale (1 = Strongly Disagree to 7 = Strongly Agree)
• Scoring and Directionality:
  • All 4 items are positively worded; no reverse scoring is required.
  • Composite scores can be computed as a simple sum (ranging from 4 to 28) or as an unweighted mean average (ranging from 1.00 to 7.00).
  • Higher numerical scores reflect greater perceived temporal volume, frequency, and self-identified heavy internet use.

11. Permissions & Fee and Test Year

The INTTIME scale was published in 2004 in the Journal of Consumer Research (Volume 31, Issue 2). As an academic research instrument published in a scholarly journal, the scale items are available in the public domain for non-commercial educational and academic research purposes, provided that appropriate scholarly attribution is given to the authors (Mathwick & Rigdon, 2004).

No licensing fee is required for non-profit academic research, university dissertations, or scientific investigations. Researchers planning to integrate the instrument into commercial market research tools, proprietary diagnostic platforms, or corporate consumer segmentation software should consult the copyright policies of Oxford University Press (or the Journal of Consumer Research Consortium) to ensure full compliance with intellectual property standards.

12. References

• Csikszentmihalyi, M. (1975). Beyond Boredom and Anxiety: Experiencing Flow in Work and Play. Jossey-Bass Publishers.
• Csikszentmihalyi, M. (1990). Flow: The Psychology of Optimal Experience. Harper & Row.
• Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing, 60(3), 50–68. https://doi.org/10.1177/002224299606000304
• Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. https://doi.org/10.1080/10705519909540118
• Mathwick, C., & Rigdon, E. (2004). Play, flow, and the online search experience. Journal of Consumer Research, 31(2), 324–332. https://doi.org/10.1086/422111
• Novak, T. P., Hoffman, D. L., & Yung, Y. F. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, 19(1), 22–42. https://doi.org/10.1287/mksc.19.1.22.15184

13. Items of the Scale