Sample outputs

See what you get with Academiana: a sample of every service, from the study blueprint to the reference list, from statistics tables to defence rehearsal.

All samples come from the same fictional study: “Examining the Relationship Between Social Media Use, Academic Procrastination and Sleep Quality in University Students”. Sources, authors and data are illustrative. The statistics tables, chart and citation formats were not written by hand; they were generated from this sample data by the system’s own tools. In your own work, the content comes from your sources and your data.

Study blueprint

In the free plan

Before you write: problem, aim, questions, method and every section’s plan and word target on one screen.

Research problem

How university students’ time on social media relates jointly to academic procrastination and sleep quality is not well understood.

Aim

To examine the relationships between social media use, academic procrastination and sleep quality, and whether they differ by gender.

Method and design

Quantitative, correlational survey design.

Participants

Undergraduates; about 300 participants, convenience sampling (to be confirmed by power analysis).

Data collection

Demographic form, an academic procrastination scale and a sleep quality scale (licensed Turkish adaptations).

Analysis

Descriptives, Cronbach’s alpha, independent-samples t-test, Pearson correlation, multiple regression.

Research questions

Is there a significant relationship between social media use and academic procrastination?
Is there a significant relationship between academic procrastination and sleep quality?
Do procrastination scores differ by gender?

Section-by-section roadmap · 22,000 words in total

1
Introduction: problem, aim, significance~2,500 words
2
Conceptual framework and related research~7,000 words
3
Method~3,000 words
4
Findings~4,500 words
5
Discussion~3,500 words
6
Conclusion and recommendations~1,500 words

Title suggestions

In the free plan

Distinct academic titles that reflect variables, sample and method.

Examining the Relationship Between Social Media Use, Academic Procrastination and Sleep Quality in University StudentsCorrelational design and all three variables are explicit.
Social Media Use Time in Relation to Procrastination and Sleep Quality: The Case of UndergraduatesHighlights the sample.
Social Media Use as a Predictor of Procrastination and Sleep Quality in University StudentsEmphasises the predictive (regression) approach.

Source search and verification

In the free plan

Search across 10 academic databases; each source’s access level and verification status are shown.

social media use academic procrastination sleep qualityOpenAlex · Crossref · PubMed · DergiPark · TR Dizin…

Üniversite öğrencilerinde sosyal medya kullanımı ve akademik erteleme

Kaya · 2021 · Örnek Psikoloji Dergisi

Full text read Verified Open access38 citationsDergiPark · OpenAlex

Gece ekran kullanımı ve uyku kalitesi: Bir tarama çalışması

Demir, Aksoy · 2022 · Örnek Sağlık Bilimleri Dergisi

Abstract read Verified21 citationsTR Dizin · Crossref

Smartphone use, bedtime procrastination and sleep in college students

Lee, Park, Chen · 2020 · Sample Journal of Behavioral Studies

Abstract read Verified64 citationsPubMed · Semantic Scholar

Öz düzenleme ve öğrenme

Yılmaz · 2019

Citation onlyNo identifierAdded manually

Section draft

In the free plan

Academic text that cites only sources in your project; unsupported claims are flagged.

2.3 Social Media Use and Academic Procrastination

Increased time on social media has been associated with students’ tendency to postpone academic tasks (Kaya, 2021). Screen use late at night in particular is reported to delay sleep onset and lower sleep quality (Demir & Aksoy, 2022; Lee et al., 2020).

Self-regulation skills are discussed as a protective factor in this relationship (Yılmaz, 2019). Whether this effect is the same across all age groups [CITATION NEEDED].

Unsupported claims are never invented: the system marks them “[CITATION NEEDED]” and offers to search for sources on that point.

Citation styles and reference list

In the free plan

Switch between 10 styles in one click; in-text citations and the reference list reformat themselves.

In-text citations

References

Demir, A., & Aksoy, M. (2022). Gece ekran kullanımı ve uyku kalitesi: Bir tarama çalışması. Örnek Sağlık Bilimleri Dergisi, 8(1), 101–118.
Kaya, E. (2021). Üniversite öğrencilerinde sosyal medya kullanımı ve akademik erteleme. Örnek Psikoloji Dergisi, 12(3), 45–62.
Lee, J., Park, S., & Chen, L. (2020). Smartphone use, bedtime procrastination and sleep in college students. Sample Journal of Behavioral Studies, 5(2), 77–93.
Yılmaz, B. (2019). Öz düzenleme ve öğrenme. Örnek Yayınevi.

Literature matrix

Pro and above

A table comparing sources side by side by aim, sample, method and findings.

Sources	Aim	Sample	Method	Key finding
(Kaya, 2021)	Social media use and procrastination	412 undergraduates	Correlational survey	Procrastination rises with use time
(Demir & Aksoy, 2022)	Night-time screen use and sleep	286 students	Survey, regression	Night use predicts sleep quality
(Lee et al., 2020)	Bedtime procrastination and sleep	530 college students	Cross-sectional SEM	Procrastination mediates phone use and sleep

AI survey builder

Basic and above

Describe your aim; get a ready-to-use draft with demographics, scale blocks and reverse-scored items.

Social Media, Procrastination and Sleep Survey

~7 min

1Single choiceCinsiyet

Gender

Female · Male · Prefer not to say

2IssueSM_saat

On average, how many hours a day do you use social media?

Number, 0–24

3Likert scaleAE

Indicate how much you agree with the statements below.

AE1I put off assignments until the last minute.
AE2I find it hard to start studying.
AE3I finish planned academic work on time.reverse-scored
AE4I leave exam preparation to the last day.
AE5I often check my phone while studying.

Statistical analysis (APA)

Basic and above

APA 7 tables and result sentences from your data: reliability, t-test, correlation and more.

Table 1

Reliability analysis (Cronbach's alpha)

Item	M	SD	Corrected item-total r	α if item deleted
AE1	3.18	1.04	.78	.86
AE2	3.14	0.96	.68	.88
AE3	2.93	1.04	.77	.86
AE4	3.11	1.11	.70	.88
AE5	3.16	0.92	.76	.87

Academic procrastination showed internal consistency of Cronbach's α = .89 in this study (k = 5, n = 120).

Table 2

Pearson correlation coefficients

Variable	M	SD	1	2	3
1. Social media (hours)	3.36	1.47	—
2. Academic procrastination	3.10	0.85	.50***	—
3. Sleep quality	3.58	0.66	-.38***	-.62***	—

n = 120. *p < .05, **p < .01, ***p < .001.

Relationships among the variables were examined with Pearson correlations (Table 1). Social media (hours) – Academic procrastination: r(118) = .50, p < .001; Social media (hours) – Sleep quality: r(118) = -.38, p < .001; Academic procrastination – Sleep quality: r(118) = -.62, p < .001.

Table 3

Independent samples t-test results

Group	n	M	SD	t	df	p	Cohen d
Female	64	3.12	0.88	0.15	118	.884	0.03
Male	56	3.09	0.82

Levene's test: F(1, 118) = 0.35, p = .555. Equal variances assumed; Student's t-test is reported.

An independent samples t-test was conducted to compare Academic procrastination by Gender. The difference between Female (M = 3.12, SD = 0.88) and Male (M = 3.09, SD = 0.82) was not significant, t(118) = 0.15, p = .884, d = 0.03, 95% CI [-0.29, 0.33].

APA-style chart

Basic and above

Publication-ready black-and-white chart from your data, inserted as a figure.

Figure 1

Relationship between Social media (hours) and Academic procrastination

Quality report

Basic and above

Missing reference details, unmatched citations, repeated phrasing and structural issues in one report.

86Quality score

2 sources with missing details
Yılmaz (2019): place not verified · Lee et al. (2020): no DOI
1 [CITATION NEEDED] marker
2.3 Social Media Use and Academic Procrastination, paragraph 2
Repeated phrase: “plays an important role” (4 times)
In the conceptual framework; vary the wording.
In-text citations match the reference list
No unmatched citations.

Abstract (TR + EN)

In the free plan

Turkish and English abstracts drawn from your written sections, without adding anything new.

Özet

Bu çalışmada üniversite öğrencilerinde sosyal medya kullanım süresi, akademik erteleme ve uyku kalitesi arasındaki ilişkiler incelenmiştir. İlişkisel tarama modelindeki araştırmaya 120 lisans öğrencisi katılmıştır. Akademik erteleme ölçeğinin iç tutarlılığı yüksektir (α = .89). Sosyal medya kullanım süresi ile akademik erteleme arasında pozitif (r = .50), akademik erteleme ile uyku kalitesi arasında negatif (r = -.62) anlamlı ilişkiler bulunmuştur. Erteleme puanları cinsiyete göre anlamlı biçimde farklılaşmamaktadır.

Anahtar Kelimeler: sosyal medya, akademik erteleme, uyku kalitesi, üniversite öğrencileri

Abstract

This study examined the relationships between social media use, academic procrastination and sleep quality among university students. A total of 120 undergraduates took part in this correlational survey. The procrastination scale showed high internal consistency (α = .89). Social media use was positively related to academic procrastination (r = .50), and procrastination was negatively related to sleep quality (r = -.62). Procrastination scores did not differ significantly by gender.

Keywords: social media, academic procrastination, sleep quality, university students

Response to reviewers

Pro and above

A reply to each reviewer comment and where the text was changed.

Reviewer comment	Our response	Change
“Sampling from a single university limits generalisability.”	A fair point. We added this to the limitations and recommend multi-site sampling for future studies.	Limitations, p. 64
“Reliability coefficients of the scales are not reported.”	We added Cronbach’s alpha coefficients to the Method section (Table 3).	Method, Table 3, p. 38

Defence rehearsal

Pro and above

An AI jury asks questions specific to your thesis and evaluates your answers.

Jury question

Why did you choose convenience sampling, and how does it affect your findings?

Your answer

We used convenience sampling because of time and access constraints, so we were cautious about generalising and noted this in the limitations.

Evaluation

7/10

Strength: You acknowledge the limitation openly; juries respond well to this.

Improve: Add how you determined sample size (power analysis) and in which respects the sample resembles the population.

Defence slides

Pro and above

An editable PowerPoint deck generated from your thesis.

Examining the Relationship Between Social Media Use, Academic Procrastination and Sleep Quality in University Students

Master’s thesis defence

Research questions

Is there a significant relationship between social media use and academic procrastination?
Is there a significant relationship between academic procrastination and sleep quality?
Do procrastination scores differ by gender?

Key findings

Social media (hours) ↔ Academic procrastination: r = .50
Academic procrastination ↔ Sleep quality: r = -.62
No significant difference by gender

Word / PDF export

Basic and above

A submission-ready document with cover, contents, chapters and references.

Graduate School of Educational Sciences

Examining the Relationship Between Social Media Use, Academic Procrastination and Sleep Quality in University Students

MASTER’S THESIS

2026

CONTENTS

Abstractiv
1. Introduction: problem, aim, significance1
2. Conceptual framework and related research9
3. Method31
4. Findings42
5. Discussion57
6. Conclusion and recommendations68
References72

Do the same for your own work.

Start free; every step from blueprint to reference list in one place.

Start for free

Sources

Aim

Sample

Method

Key finding

(Kaya, 2021)

Social media use and procrastination

412 undergraduates

Correlational survey

Procrastination rises with use time

(Demir & Aksoy, 2022)

Night-time screen use and sleep

286 students

Survey, regression

Night use predicts sleep quality

(Lee et al., 2020)

Bedtime procrastination and sleep

530 college students

Cross-sectional SEM

Procrastination mediates phone use and sleep

Item

Corrected item-total r

α if item deleted

AE1

3.18

1.04

.78

.86

AE2

3.14

0.96

.68

.88

AE3

2.93

1.04

.77

.86

AE4

3.11

1.11

.70

.88

AE5

3.16

0.92

.76

.87

Variable

1. Social media (hours)

3.36

1.47

—

2. Academic procrastination

3.10

0.85

.50***

—

3. Sleep quality

3.58

0.66

-.38***

-.62***

—

Group

Cohen d

Female

3.12

0.88

0.15

118

.884

0.03

Male

3.09

0.82

Reviewer comment

Our response

Change

“Sampling from a single university limits generalisability.”

A fair point. We added this to the limitations and recommend multi-site sampling for future studies.

Limitations, p. 64

“Reliability coefficients of the scales are not reported.”

We added Cronbach’s alpha coefficients to the Method section (Table 3).

Method, Table 3, p. 38