Cited by 39Impact of Technology on AdolescentsPerfectionism, Procrastination, Anxiety StudiesCyberloafing and Workplace Behavior

INFLUENCE OF SOCIAL MEDIA ADDICTION ON ACADEMIC ACHIEVEMENT IN DISTANCE LEARNING: INTERVENING ROLE OF ACADEMIC PROCRASTINATION

Open access
CARATIQUIT, Kevin D., CARATIQUIT, Lovely Jean C.·2023·Turkish Online Journal of Distance Education

Abstract

Using Partial Least Squares-Structural Equation Modeling with WarpPLS, this study examines the indirect effect of the relationship between learners' social media addiction and academic achievement in distance learning as mediated by academic procrastination. The study participants were 223 Filipino students at a secondary school in Cagayan, Philippines, who were chosen using convenience sampling. The findings indicated a positive and significant relationship between social media addiction and academic procrastination. There is also a negative and significant relationship between academic procrastination and learners' academic achievement. In terms of the indirect effects of the mediation model, the relationship between social media addiction and academic achievement is fully mediated by academic procrastination.

AI snapshot

Written from the paper’s full text.

TL;DR

This study tested whether academic procrastination mediates the link between social media addiction and academic achievement among Filipino distance-learning students, using PLS-SEM on survey and grade data. It found that social media addiction had no significant direct effect on achievement, but a significant indirect effect through procrastination, indicating full mediation.

Key findings

  • Social media addiction was positively and significantly related to academic procrastination (β = 0.442, p < .001; Cohen's f² = 0.195, medium effect), supporting H2.
  • Academic procrastination was negatively and significantly related to academic achievement (β = -0.257, p < .001; f² = 0.062, small effect), supporting H3.
  • The direct path from social media addiction to academic achievement was not significant (β = 0.086, p = 0.096; f² = 0.004), so H1 was not supported.
  • The indirect effect of social media addiction on achievement via procrastination was significant and negative (β = -0.113, p = .008; f² = 0.005), supporting full mediation (H4).
  • Model fit indices were acceptable: average path coefficient 0.262 (p < .001), average R² 0.131 (p = .012), Tenenhaus GoF 0.299 (medium); full collinearity VIFs ranged from 1.049 to 1.287.

Methods

  • Quantitative, causal design using Partial Least Squares–Structural Equation Modeling in WarpPLS 7.0, with supplementary analysis in Jamovi 2.2.2 and the Preacher and Hayes (2008) mediation procedure.
  • 223 K–12 Filipino students from a secondary school in Lal-lo, Cagayan, Philippines, recruited by convenience sampling; data collected September 2021–January 2022. Minimum sample size was estimated at 92 (inverse square root) and 78 (gamma-exponential) methods.
  • Measures: Bergen Social Media Addiction Scale (6 items, 5-point Likert), Academic Procrastination Scale–Short Form (5 items, 5-point Likert), and academic achievement from students' General Average in the first quarter of SY 2021–2022. Most respondents were female (59.6%), aged 17–18 (56.5%), on the academic track (90.1%), and from families earning under 10,000 monthly (74.4%).

Limitations

  • The paper itself does not include a dedicated limitations section; it recommends future research to identify additional factors influencing social media addiction, procrastination, and achievement, and to replicate the study with more participants.
  • Evident from the text: convenience sampling at a single school limits generalizability; the cross-sectional design cannot establish causal direction; achievement relied on a single self-reported grade measure (General Average) and the constructs were measured via self-report scales, which may introduce common method or social desirability bias.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.17718/tojde.1060563

Cites

121 of 123 references verified0 citation errors · 2 not checkable

Statistics

Nothing to recompute.

Claims the paper makes

4 of 26 cited sources checked · 2 supported · 0 flagged · accuracy not yet measured

  • Premisecitation

    Internet addiction is associated with academic procrastination among learners.

    “internet addiction was connected with academic procrastination among learners (Karatas, 2015;Azizi et al., 2019;Nwosu et al., 2020).”
    Quote in the paperSubstantial claim2 of 3 sources checked
    • cites Karatas, 2015
    • cites Azizi et al., 2019 source

      The Discussion (page not provided) reports a link between social networking addiction and academic procrastination among students, citing another study. It does not establish the same link for internet addiction generally, which is broader than social networking addiction. (LLM, conf=0.86)

      Experimental — accuracy not yet measured
    • cites Nwosu et al., 2020 source
  • Findingown data

    Academic procrastination has a negative and significant relationship with academic achievement among the students.

    “There is also a negative and significant relationship between academic procrastination and learners' academic achievement.”
    • Also stated in: § Mediation Model Results · plain
      “academic procrastination and academic achievement have a negative and significant relationship (β = -0.26,p<.01).”
    • Also stated in: § DISCUSSIONS AND CONCLUSION · plain
      “H3: AP ⇒ AA | -0.257 | 0.064 | <0.001 | 0.062”
    Quote in the paperSubstantial claim
  • Findingown data

    The indirect effect of social media addiction on academic achievement through academic procrastination is negative and significant (β = -0.113, p=.008).

    “the relationship between social media addiction and academic achievement is mediated by academic procrastination (β = -0.113,p=.008).”
    • Also stated in: § DISCUSSIONS AND CONCLUSION · plain
      “H4: SMA ⇒ AP ⇒ AA | -0.113 | 0.046 | 0.008 | 0.005”
    Quote in the paperSubstantial claim
  • Findingown data

    Social media addiction has a positive and significant relationship with academic procrastination among the 223 Filipino secondary students in distance learning.

    “The findings indicated a positive and significant relationship between social media addiction and academic procrastination.”
    • Also stated in: § Mediation Model Results · plain
      “the beta coefficient of the relationship between social media addiction and academic procrastination is positive and significant (β = 0.44, p<.01).”
    • Also stated in: § DISCUSSIONS AND CONCLUSION · plain
      “H2: SMA ⇒ AP | 0.442 | 0.062 | <0.001 | 0.195”
    Quote in the paperSubstantial claim
  • Interpretationown data

    Social media addiction leads to poor academic achievement through increased academic procrastination.

    “social media addiction influences learners' academic procrastination, leading to poor academic achievement.”
    • Also stated in: § DISCUSSIONS AND CONCLUSION · plain
      “The more learners spend their time on social media, the more they procrastinate their educational tasks, thus getting low grades.”
    • Also stated in: § DISCUSSIONS AND CONCLUSION · plain
      “Academic procrastination plays a significant role in the context of social media addiction among students in this new normal education, which impacts their educational progress.”
    Quote in the paperSubstantial claim
    • Rests on an assumption: The relationships among social media addiction, academic procrastination, and academic achievement are not confounded by unmeasured variables.
  • Classified as probably not a substantial claim. 2
  • May combine two claims. 9
  • The quote only partly states this claim. 2
  • Classified as probably not a substantial claim. May combine two claims.

    Premisecitation

    Social media addiction has a negative effect on students' academic performance, health, interpersonal connections, and general well-being.

    “Previous studies discovered that social media addiction had a negative effect on students' academic performance, health, interpersonal connections, and general well-being (Alaika et al.,2020;Whelan et al., 2020).”
    Quote in the paperSubstantial claim1 of 2 sources checked
    • cites Alaika et al.,2020 source
    • cites Whelan et al., 2020 source
  • May combine two claims.

    Premisecitation

    The Bergen Social Media Addiction Scale (BSMAS) is a relevant and reliable instrument for assessing social media addiction.

    “In the original study, the BSMAS demonstrated a high degree of Cronbach's alpha reliability coefficient of 0.88.”
    • Also stated in: § Social media addiction scale · plain
      “Thus, the scale is both relevant and reliable for assessing the social media addiction of the students.”
    • Also stated in: § Social media addiction scale · boosted
      “The BFAS has been translated into several languages and has been shown to have good psychometric properties in several studies”
    Quote in the paperSubstantial claim1 of 3 sources checked
    • cites Andreassen et al., 2016 source

      The Instruments section (p. 9) reports Cronbach’s alpha of .88 for the social-media scale used in this study, supporting the reliability figure. However, the paper names that instrument the Bergen Social Networking Addiction Scale (BSNAS), not the BSMAS named in the citing sentence. (LLM, conf=0.85)

      Experimental — accuracy not yet measured
    • cites Andreassen et al., 2012

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Griffiths, 2005 source
  • May combine two claims.

    Findingown data

    The direct relationship between social media addiction and academic achievement is positive and not significant.

    “The beta coefficient of the direct relationship between social media addiction and academic achievement is positive and not significant (β = 0.09, NS).”
    • Also stated in: § DISCUSSIONS AND CONCLUSION · plain
      “H1: SMA ⇒ AA | 0.086 | 0.066 | 0.096 | 0.004”
    • Also stated in: § DISCUSSIONS AND CONCLUSION · plain
      “The study revealed that social media addiction is not directly related to academic achievement.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation

    The Academic Procrastination Scale-Short Form (APS-S) is a valid and reliable instrument for assessing academic procrastination.

    “The scale is a widely used 5-item scale for assessing students' academic procrastination (e.g.,”
    • Also stated in: § Academic procrastination scale · hedged
      “Yockey (2016) validated the instrument with other measures of procrastination, the 16-item Tuckman Procrastination Scale of Tuckman (1991) and the 12-item Procrastination Assessment Scale-Students of Solomon and Rothblum (1984), and the results suggested that the shorter APS-S has a strong association with PASS and Tuckman Scale.”
    • Also stated in: § Academic procrastination scale · plain
      “Thus, the scale is valid and reliable for assessing students' academic procrastination.”
    Quote in the paperSubstantial claim0 of 2 sources checked
    • cites McCloskey, 2011

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Yockey, 2016

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Study design and conductown data

    The structural equation model has acceptable goodness of fit and quality indices.

    “Table 4 illustrates that the structural equation model is fit and that the quality index requirements were met using the criteria provided.”
    • Also stated in: § Model Fit and Quality Indices · hedged
      “Through the results, it can assume that the model's Goodness of Fit was acceptable.”
    • Also stated in: § Model Fit and Quality Indices · plain
      “Thus, the proposed model that has been developed can be utilized to test hypotheses.”
    Quote in the paperSubstantial claim
  • May combine two claims.

    Premisecitation

    Academic procrastination is associated with poor learning outcomes and psychological difficulties.

    “many studies reported that academic procrastination has been associated with poor learning outcomes and psychological difficulties (Hussain & Sultan, 2010;Klingsieck et al., 2012;Dikmen & Bahadir, 2021;Rajapakshe, 2021)”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites Hussain & Sultan, 2010

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Klingsieck et al., 2012 source
    • cites Dikmen & Bahadir, 2021

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Study design and conductown data

    The model is not multicollinear and does not show common method bias.

    “According to the results in Table 5, the VIFs of the variables are within acceptable ranges.”
    • Also stated in: § Full Collinearity VIFs Assessment · hedged
      “This indicates that the model is not multicollinear and does not show common method bias.”
    Quote in the paperSubstantial claim0 of 3 sources checked
    • cites Kock & Lynn, 2012

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

    • cites Kock, 2015 source
    • cites Lacap, 2019 source
  • The quote only partly states this claim.

    Interpretationreasoning

    Academic procrastination causally decreases academic achievement.

    “academic procrastination negatively influences learners' academic performance.”
    • Also stated in: § DISCUSSIONS AND CONCLUSION · plain
      “The more learners procrastinate their educational responsibilities, the lower their academic grades.”
    • Also stated in: § DISCUSSIONS AND CONCLUSION · plain
      “academic procrastination impacts the educational accomplishment of learners in distance learning.”
    Quote in the paperSubstantial claim
  • The quote only partly states this claim.

    Interpretationreasoning

    Social media addiction causally increases academic procrastination.

    “social media addiction significantly influences academic procrastination.”
    • Also stated in: § DISCUSSIONS AND CONCLUSION · plain
      “social media addiction of learners leads to academic procrastination.”
    • Also stated in: § DISCUSSIONS AND CONCLUSION · plain
      “The higher the social media addiction, the higher the tendency of learners to procrastinate their academic responsibilities in this new normal education.”
    Quote in the paperSubstantial claim
  • Probably not a substantial claim: may not pass S3 (load-bearing).

    Premisecitation

    Some studies suggest that social media addiction has no correlation with academic success.

    “some study suggests that social media addiction has no correlation with academic success (Rashid & Asghar, 2016).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Rashid & Asghar, 2016 source
  • May combine two claims.

    Premisecitation

    Social media addiction is negatively associated with academic achievement but positively associated with academic procrastination.

    “Uztermur (2020) study discovered that social media addiction is negatively associated with academic achievement but positively associated with academic procrastination.”
    Quote in the paperSubstantial claim0 of 1 sources checked
    • cites Uztermur (2020)

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

  • May combine two claims.

    Premisecitation

    The inverse square root method overestimates the required sample size, while the gamma-exponential method provides a more precise estimation.

    “The inverse square root method overestimates the required sample size, but the gamma-exponential method provides a more precise estimation, making it necessary to report both results.(Kock, 2017).”
    Quote in the paperNot a substantial claim0 of 1 sources checked
    • cites Kock, 2017

      Couldn’t be matched to a paper in Crossref, so it can’t be checked.

12 of 12
  • The paper relies on this without support.

    The relationships among social media addiction, academic procrastination, and academic achievement are not confounded by unmeasured variables.

    “the relationship between social media addiction and academic achievement is fully mediated by academic procrastination.”
    “social media addiction influences learners' academic procrastination, leading to poor academic achievement.”
  • The paper relies on this without support.

    The convenience sample of 223 Filipino secondary students is representative enough to support conclusions about distance learning students in the new normal education.

    “The respondents were the 223 K to 12 Filipino students enrolled in an outstanding secondary school in the Division of Cagayan, located in Lal-lo, Cagayan, Philippines.”
    “The respondents of the study were chosen through the convenience sampling method.”
  • The paper relies on this without support.

    The study had sufficient statistical power to detect a direct effect of social media addiction on academic achievement, so the non-significant direct effect indicates full mediation rather than insufficient power.

    “The study has 223 respondents; thus, the sample size is sufficient to explain the structural model's conclusions (See Figure 2).”
    “the relationship between social media addiction and academic achievement is fully mediated by academic procrastination.”
3 of 3

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

Each contradiction between two passages listed here was confirmed by an independent check.

  • Procrastination measures fail the paper's stated validity rule

    Minor

    The paper says an AVE of 0.4 can be accepted when composite reliability exceeds 0.6. Table 3 reports an AVE of 0.500 and composite reliability of 0.543 for academic procrastination, so those values do not meet the stated rule, contrary to the blanket validity claim.

  • Effects below the stated small-effect cutoff are called small

    Minor

    The paper calls the direct effect with f2 = 0.004 small, although Table 6 gives 0.02 as the small-effect cutoff. It also calls the indirect effect with f2 = 0.005 small.

2 of 2

Cites

Flagged first, then by citations

Research works printed but not linked: 5

  1. Barclay, D., Higgins, C. & Thompson, R. (1995), The Partial Least Squares (PLS) Approach to Causal Modeling: Personal Computer Adoption and Use as an Illustration, Technology Studies, 2(2), 285-309. https://www.researchgate.net/publication/313137896_The_partial_least_squares_approach_to_causal_modeling_Personal_computer_adoption_and_use_as_an_illustration#fullTextFileContent
  2. Hair, J.F., Black, W.C., Babin, B.J., & Anderson, R.E. (2009). Multivariate data analysis. Upper addle River, NJ: Prentice Hall
  3. Okeke, N. U., & Anierobi, E. I. (2020).The influence of social media on aggressive behaviours of in-school adolescents in Anambra State. Journal of Nigerian Academy of Education 16 (1), 279-292
  4. Rasoolimanesh, S. M. (2022). Discriminant validity assessment in PLS-SEM: A comprehensive composite-based approach. Data Analysis Perspectives Journal, 3(1), 1-8. https://scriptwarp.com/dapj/2022_DAPJ_3_2/Rasoolimanesh_2022_DAPJ_3_2_DiscriminantValidity.pdf
  5. Uzun Ozer, B., Sackes, M., & Tuckman, B. W. (2013). Psychometric properties of the Tuckman Procrastination Scale in a Turkish sample. Psychological Reports, 113(3), 874-884. https://doi.org/10.2466/03.20.pr0.113x28z7 · DOI

Cited by

Sorted by citations

Authors
CARATIQUIT, K. D., & CARATIQUIT, L. J. C.
Affiliations
  • Lal-lo National High School
  • Department of Education (PH)
Corresponding author
CARATIQUIT, Lovely Jean C.
Venue
Turkish Online Journal of Distance Education
Published
2023-01-01
Volume
24
Issue
1
Pages
1-19
ISSN
1302-6488 (ISSN-L)
OpenAlex
W4313351111
Cited by
38
References
111
Citations by year
2026: 7 · 2025: 13 · 2024: 11 · 2023: 7
FWCI
16.40
Type
journal article
Language
en
Open access
Locations
  • Turkish Online Journal of Distance Education (publishedVersion)
  • DergiPark (Istanbul University) (submittedVersion)
Funders
LAL-LO NATIONAL HIGH SCHOOL (1)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Social Sciences › Psychology › Clinical Psychology › Perfectionism, Procrastination, Anxiety Studies
  • Social Sciences › Demography › Cyberloafing and Workplace Behavior
Keywords
social media addiction, academic performance, academic procrastination, distance education, mediation, high school students, Filipino students

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