Article Analysis: Identifying Variables, Data Types, and Populations, Assignments of Health sciences

A structured framework for analyzing research articles, focusing on identifying key elements such as independent and dependent variables, data types, and populations of interest. It presents examples from three different research studies, demonstrating how to apply these concepts in practice. Valuable for students learning about research methodology and data analysis, as it provides a clear and concise guide to understanding the fundamental components of research studies.

Typology: Assignments

2024/2025

Available from 01/19/2025

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Article Analysis 1
Article Citation
and Permalink
(APA format)
Article 1
Mahoney, B. (2018). Aging
Anxieties and
Disturbed Eating in
Female Students: It’s
not all About Aging
Appearance
Concern. Europe’s
Journal of
Psychology, 14(1), 7–
27. https://doi-
org.lopes.idm.oclc.org/
10.5964/ejop.v14i1.13
90
Article 2
Watson, L., Siwei Qi,
Photitai, E., & DeIure,
A. (2021). A Cross-
Sectional Analysis of
Ambulatory Oncology
Experience by
Treatment
Intent. Current
Oncology, 28(1), 98–
106. https://doi-
org.lopes.idm.oclc.org/
10.3390/curroncol280
10013
Article 3
Mohammed Nazim Uddin,
Sunil Bhar, & Fakir
M Amirul Islam.
(2019). An
assessment of
awareness of mental
health conditions and
its association with
socio-demographic
characteristics: a
cross-sectional study
in a rural district in
Bangladesh. BMC
Health Services
Research, 19(1), 1–11.
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Article Analysis 1

Article Citation and Permalink (APA format) Article 1 Mahoney, B. (2018). Aging Anxieties and Disturbed Eating in Female Students: It’s not all About Aging Appearance Concern. Europe’s Journal of Psychology , 14 (1), 7–

  1. https://doi- org.lopes.idm.oclc.org/ 10.5964/ejop.v14i1. 90 Article 2 Watson, L., Siwei Qi, Photitai, E., & DeIure, A. (2021). A Cross- Sectional Analysis of Ambulatory Oncology Experience by Treatment Intent. Current Oncology , 28 (1), 98–
  2. https://doi- org.lopes.idm.oclc.org/ 10.3390/curroncol 10013 Article 3 Mohammed Nazim Uddin, Sunil Bhar, & Fakir M Amirul Islam. (2019). An assessment of awareness of mental health conditions and its association with socio-demographic characteristics: a cross-sectional study in a rural district in Bangladesh. BMC Health Services Research , 19 (1), 1–11.

Link: https://lopes.idm.oclc.org/logi n? url=https://search.ebsc ohost.com/login.aspx? direct=true&db=a9h& AN=130860882&site= ehost-live&scope=site Link: https://lopes.idm.oclc.org/logi n? url=https://search.ebscohost.c om/login.aspx? direct=true&db=a9h&AN= 9141853&site=ehost- live&scope=site https://doi- org.lopes.idm.oclc.org/ 10.1186/s12913-019- 4385- Link: https://lopes.idm.oclc.org/logi n? url=https://search.ebsc ohost.com/login.aspx? direct=true&db=edsdo j&AN=edsdoj.985bbd 0bea804f1c93babea4f 3cd03b1&site=eds- live&scope=site&custi

Study students at a Midlands university in the United Kingdom. diagnosis and had received at least one ambulatory cancer treatment in the last 6 months. Narail district of Dhaka, Bangladesh. Sample 200 Female participants 2104 Participants 1174 Women 990 Men 2425 Participants 1249 female 1176 males Sampling Method Stratified sampling Random sampling (^) Multi-stage cluster random sampling

Descriptive Total age in mean: 21 The mean age of this cohort (^) Sociodemographic characteristic of adults and elderly in Narail district in Bangladesh: Total age in mean (Standard deviation): Mean: 52 Standard deviation (SD):17.0 Level of awareness of mental health condition (MHCs) n (%) Awareness of any MHCs: total- 1030 (42.5%) Knowledge of any MHCs symptoms: Total: 1020 (99) Statistics (Mean, Median, Mode; Standard Deviation (SD): 4. was 65.6 years and Standard Deviation was (SD = 12.0). Standard Participants who had: Deviation)

  • fear of losses (M = Identify examples 15.0, SD = 3.80) of descriptive • anxiety about statistics in the appearance (M = article. (^) 14.30, SD = 4.20)
  • Psychological concern (M = 12.86, SD = 3.70)
  • Fear of old people (M = 11.70, SD = 3.40). Inferential Statistics Overall satisfaction level (^) Overall level of awareness of any common MHCs: 42.5% p<0. Generally, more than 50 % of the participants were not aware of any MHCs, 3.3% were aware of bipolar disorder, 42% were aware of drug addiction and less than 1% were aware of all the MHCs (p. 8). Identify examples of inferential statistics in the article. related to the overall quality of care in the “to cure cancer” group was also significantly higher than the “to control symptoms or cancer progression” group (U = 418, 472, p < 0.01).