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Reviewing and Critiquing Research

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Reviewing and Critiquing Research

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critiquing research articles

Critiquing Research Articles

Oct 10, 2014

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Critiquing Research Articles. For important and highly relevant articles: Introduce the study, say how it exemplifies the point you are discussing Say how the study is similar to yours, in purpose and / or method Report its methodology in detail Critique the methodology

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Critiquing Research Articles For important and highly relevant articles: • Introduce the study, say how it exemplifies the point you are discussing • Say how the study is similar to yours, in purpose and / or method • Report its methodology in detail • Critique the methodology • Report details of the findings that relate to your topic • If its findings are limited or unjustified, tell how • Give its implications for your study

Critiquing Research Articles For studies moderately related to yours: • Introduce the study, saying how it exemplifies the point you’re discussing • Report its general methodology • Report its general findings related to your topic • If its findings are limited or conclusions unjustified, tell how • Give its implications for your study

Critiquing Research Articles • For studies somewhat related, used for background information: • Introduce the study, saying how it exemplifies the point you are discussing • Give the “gist” of its findings related to your topic • Give its implications for your study

How to Critique a Research Study • The Introduction Section: • Is the problem clearly stated? • Are the argument and rationale for the study convincing? • Are primary terms and concepts clearly defined? • Are the author’s assumptions made clear? • Are the research questions or hypotheses stated in testable form?

How to Critique a Research Study The Method Section: • Research Design • What type of design was selected? Is it appropriate? • Were extraneous and confounding variables controlled by the design? • Are independent and dependent variables adequate to test the questions and hypotheses? Is the predicted relationship between (among) them clear?

How to Critique a Research Study • Participants • Was the sample size large enough? • Were subjects selected randomly? • Are the relevant characteristics of the sample described? • If subjects were not randomly assigned to experimental groups, were they comparable on relevant characteristics?

How to Critique a Research Study • Measures • Do selected measures appropriately operationalize the variables? • Are satisfactory reliability and validity data provided for all measures? • For interpretive measures, was scoring objective? • For two or more raters, was satisfactory inter-rater reliability found? • Are measures administered consistently to different groups?

How to Critique a Research Study • Results • Do the data fulfill assumptions underlying statistical tests? • Are the statistical tests appropriate for the questions and hypotheses? • Are the appropriate statistics reported for each test? • For multiple statistical tests, do authors adjust alpha error levels? • For statistical tests, are adequate statistics (means, SD, shared variance for correlations etc.) presented?

How to Critique a Research Study • Interpretation and Discussion • Are statistical tests interpreted correctly? • Are generalizations only to the population from which the sample was drawn? • Do authors identify problems of control that weren’t addressed by the design or analysis? • Do authors mention other limitations of the study? • Are conclusions consistent with statistical results? • Are alternative conclusions considered? • Are theoretical and / or practical implications discussed?

How to Critique a Research Study Overview Questions: • Was the method reported in sufficient detail that you could replicate the study? • What was the theoretical context for the study? • What issues were raised and not addressed? • What assumptions were made? • What did the authors overlook? • Were there any major problems that invalidate the study? • What contribution did the study make? • How does the study relate to your topic?

Your Literature Review • Must have 7-10 current references from academic journals cited • Written in APA format • Copies of journal articles used must be turned in to professor with the assignment • Should be 5 typed pages • Literature review should include introduction, summary and critique of journal articles, a justifications for your research project and the hypotheses for your research project

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critique of quantitative published research article slideshare

Conducting an article critique for a quantitative research study: perspectives for doctoral students and other novice readers

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Authors Vance DE   , Talley M , Azuero A , Pearce PF , Christian BJ

Received 29 January 2013

Accepted for publication 12 March 2013

Published 22 April 2013 Volume 2013:3 Pages 67—75

DOI https://doi.org/10.2147/NRR.S43374

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David E Vance, 1 Michele Talley, 1 Andres Azuero, 1 Patricia F Pearce, 2 Becky J Christian 1 1 School of Nursing, University of Alabama at Birmingham, Birmingham, AL, USA; 2 Loyola University School of Nursing, New Orleans, LA, USA Abstract: The ability to critically evaluate the merits of a quantitative design research article is a necessary skill for practitioners and researchers of all disciplines, including nursing, in order to judge the integrity and usefulness of the evidence and conclusions made in an article. In general, this skill is automatic for many practitioners and researchers who already possess a good working knowledge of research methodology, including: hypothesis development, sampling techniques, study design, testing procedures and instrumentation, data collection and data management, statistics, and interpretation of findings. For graduate students and junior faculty who have yet to master these skills, completing a formally written article critique can be a useful process to hone such skills. However, a fundamental knowledge of research methods is still needed in order to be successful. Because there are few published examples of critique examples, this article provides the practical points of conducting a formally written quantitative research article critique while providing a brief example to demonstrate the principles and form. Keywords: quantitative article critique, statistics, methodology, graduate students

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Step-by-step guide to critiquing research. Part 1: quantitative research

Affiliation.

  • 1 School of Nursing and Midwifery, University of Dublin, Trinity College, Dublin.
  • PMID: 17577184
  • DOI: 10.12968/bjon.2007.16.11.23681

When caring for patients, it is essential that nurses are using the current best practice. To determine what this is, nurses must be able to read research critically. But for many qualified and student nurses, the terminology used in research can be difficult to understand, thus making critical reading even more daunting. It is imperative in nursing that care has its foundations in sound research, and it is essential that all nurses have the ability to critically appraise research to identify what is best practice. This article is a step-by-step approach to critiquing quantitative research to help nurses demystify the process and decode the terminology.

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This article has a correction. Please see:

  • Correction: How to appraise quantitative research - April 01, 2019

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  • Xabi Cathala 1 ,
  • Calvin Moorley 2
  • 1 Institute of Vocational Learning , School of Health and Social Care, London South Bank University , London , UK
  • 2 Nursing Research and Diversity in Care , School of Health and Social Care, London South Bank University , London , UK
  • Correspondence to Mr Xabi Cathala, Institute of Vocational Learning, School of Health and Social Care, London South Bank University London UK ; cathalax{at}lsbu.ac.uk and Dr Calvin Moorley, Nursing Research and Diversity in Care, School of Health and Social Care, London South Bank University, London SE1 0AA, UK; Moorleyc{at}lsbu.ac.uk

https://doi.org/10.1136/eb-2018-102996

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Introduction

Some nurses feel that they lack the necessary skills to read a research paper and to then decide if they should implement the findings into their practice. This is particularly the case when considering the results of quantitative research, which often contains the results of statistical testing. However, nurses have a professional responsibility to critique research to improve their practice, care and patient safety. 1  This article provides a step by step guide on how to critically appraise a quantitative paper.

Title, keywords and the authors

The authors’ names may not mean much, but knowing the following will be helpful:

Their position, for example, academic, researcher or healthcare practitioner.

Their qualification, both professional, for example, a nurse or physiotherapist and academic (eg, degree, masters, doctorate).

This can indicate how the research has been conducted and the authors’ competence on the subject. Basically, do you want to read a paper on quantum physics written by a plumber?

The abstract is a resume of the article and should contain:

Introduction.

Research question/hypothesis.

Methods including sample design, tests used and the statistical analysis (of course! Remember we love numbers).

Main findings.

Conclusion.

The subheadings in the abstract will vary depending on the journal. An abstract should not usually be more than 300 words but this varies depending on specific journal requirements. If the above information is contained in the abstract, it can give you an idea about whether the study is relevant to your area of practice. However, before deciding if the results of a research paper are relevant to your practice, it is important to review the overall quality of the article. This can only be done by reading and critically appraising the entire article.

The introduction

Example: the effect of paracetamol on levels of pain.

My hypothesis is that A has an effect on B, for example, paracetamol has an effect on levels of pain.

My null hypothesis is that A has no effect on B, for example, paracetamol has no effect on pain.

My study will test the null hypothesis and if the null hypothesis is validated then the hypothesis is false (A has no effect on B). This means paracetamol has no effect on the level of pain. If the null hypothesis is rejected then the hypothesis is true (A has an effect on B). This means that paracetamol has an effect on the level of pain.

Background/literature review

The literature review should include reference to recent and relevant research in the area. It should summarise what is already known about the topic and why the research study is needed and state what the study will contribute to new knowledge. 5 The literature review should be up to date, usually 5–8 years, but it will depend on the topic and sometimes it is acceptable to include older (seminal) studies.

Methodology

In quantitative studies, the data analysis varies between studies depending on the type of design used. For example, descriptive, correlative or experimental studies all vary. A descriptive study will describe the pattern of a topic related to one or more variable. 6 A correlational study examines the link (correlation) between two variables 7  and focuses on how a variable will react to a change of another variable. In experimental studies, the researchers manipulate variables looking at outcomes 8  and the sample is commonly assigned into different groups (known as randomisation) to determine the effect (causal) of a condition (independent variable) on a certain outcome. This is a common method used in clinical trials.

There should be sufficient detail provided in the methods section for you to replicate the study (should you want to). To enable you to do this, the following sections are normally included:

Overview and rationale for the methodology.

Participants or sample.

Data collection tools.

Methods of data analysis.

Ethical issues.

Data collection should be clearly explained and the article should discuss how this process was undertaken. Data collection should be systematic, objective, precise, repeatable, valid and reliable. Any tool (eg, a questionnaire) used for data collection should have been piloted (or pretested and/or adjusted) to ensure the quality, validity and reliability of the tool. 9 The participants (the sample) and any randomisation technique used should be identified. The sample size is central in quantitative research, as the findings should be able to be generalised for the wider population. 10 The data analysis can be done manually or more complex analyses performed using computer software sometimes with advice of a statistician. From this analysis, results like mode, mean, median, p value, CI and so on are always presented in a numerical format.

The author(s) should present the results clearly. These may be presented in graphs, charts or tables alongside some text. You should perform your own critique of the data analysis process; just because a paper has been published, it does not mean it is perfect. Your findings may be different from the author’s. Through critical analysis the reader may find an error in the study process that authors have not seen or highlighted. These errors can change the study result or change a study you thought was strong to weak. To help you critique a quantitative research paper, some guidance on understanding statistical terminology is provided in  table 1 .

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Some basic guidance for understanding statistics

Quantitative studies examine the relationship between variables, and the p value illustrates this objectively.  11  If the p value is less than 0.05, the null hypothesis is rejected and the hypothesis is accepted and the study will say there is a significant difference. If the p value is more than 0.05, the null hypothesis is accepted then the hypothesis is rejected. The study will say there is no significant difference. As a general rule, a p value of less than 0.05 means, the hypothesis is accepted and if it is more than 0.05 the hypothesis is rejected.

The CI is a number between 0 and 1 or is written as a per cent, demonstrating the level of confidence the reader can have in the result. 12  The CI is calculated by subtracting the p value to 1 (1–p). If there is a p value of 0.05, the CI will be 1–0.05=0.95=95%. A CI over 95% means, we can be confident the result is statistically significant. A CI below 95% means, the result is not statistically significant. The p values and CI highlight the confidence and robustness of a result.

Discussion, recommendations and conclusion

The final section of the paper is where the authors discuss their results and link them to other literature in the area (some of which may have been included in the literature review at the start of the paper). This reminds the reader of what is already known, what the study has found and what new information it adds. The discussion should demonstrate how the authors interpreted their results and how they contribute to new knowledge in the area. Implications for practice and future research should also be highlighted in this section of the paper.

A few other areas you may find helpful are:

Limitations of the study.

Conflicts of interest.

Table 2 provides a useful tool to help you apply the learning in this paper to the critiquing of quantitative research papers.

Quantitative paper appraisal checklist

  • 1. ↵ Nursing and Midwifery Council , 2015 . The code: standard of conduct, performance and ethics for nurses and midwives https://www.nmc.org.uk/globalassets/sitedocuments/nmc-publications/nmc-code.pdf ( accessed 21.8.18 ).
  • Gerrish K ,
  • Moorley C ,
  • Tunariu A , et al
  • Shorten A ,

Competing interests None declared.

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Provenance and peer review Commissioned; internally peer reviewed.

Correction notice This article has been updated since its original publication to update p values from 0.5 to 0.05 throughout.

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Progress in remote sensing and gis-based fdi research based on quantitative and qualitative analysis.

critique of quantitative published research article slideshare

1. Introduction

2. research methods and data, 2.1. research methods, 2.2. data sources and screening, 2.3. data processing, 3. subject categories and publication trends, 3.1. subject evolution, 3.2. trends in the number and cited times of published papers, 4. the intellectual structure, 4.1. quantitative analysis, 4.2. qualitative analysis, 4.2.1. macro-environmental research at national, regional, and city scales, 4.2.2. global industrial development and layout, 4.2.3. research on global value chains, 4.2.4. micro-information geography of tncs, 4.2.5. internationalization and commercialization of geo-information industry, 4.2.6. multiple data and interdisciplinary approaches, 5. discussions and conclusions, data availability statement, acknowledgments, conflicts of interest.

1 (accessed on 13 July 2024). One date of launch is missing from the data set, but this has a minimal impact on the overall trend.
2 , accessed on 13 July 2024) is selected as the primary quantitative analysis tool in this paper.
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StepDescriptionDetails
1Topic identificationIdentify a knowledge domain using the broadest possible terms
2Data collectionCollect data of commonly used sources of scientific literature
3Terms extractExtract research front terms
4Time slicingBuild time series models over time
5Outcome layoutAnalyze domains and generate visualizations
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Li, Z. Progress in Remote Sensing and GIS-Based FDI Research Based on Quantitative and Qualitative Analysis. Land 2024 , 13 , 1313. https://doi.org/10.3390/land13081313

Li Z. Progress in Remote Sensing and GIS-Based FDI Research Based on Quantitative and Qualitative Analysis. Land . 2024; 13(8):1313. https://doi.org/10.3390/land13081313

Li, Zifeng. 2024. "Progress in Remote Sensing and GIS-Based FDI Research Based on Quantitative and Qualitative Analysis" Land 13, no. 8: 1313. https://doi.org/10.3390/land13081313

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August 20, 2024

This article has been reviewed according to Science X's editorial process and policies . Editors have highlighted the following attributes while ensuring the content's credibility:

fact-checked

Heterogeneous occurrence of evergreen broad-leaved forests revealed by plant fossils in East Asia

by KeAi Communications Co., Ltd.

Heterogeneous occurrence of evergreen broad-leaved forests revealed by plant fossils East Asia

Evergreen broad-leaved forests (EBLFs) are the most characteristic biomes in East Asia. They assume a fundamental role in the biodiversity function and ecosystem services of the East Asiatic floristic kingdom. Hence, understanding the historical dynamics of EBLFs and their underlying drivers is crucial for conserving their diversity in the region.

Nevertheless, the occurrence of EBLFs remains controversial across various disciplines. Several recent paleobotanical studies have indicated that EBLFs were likely established during the Middle Eocene in southeastern China and late Eocene–early Oligocene in southwestern China, potentially earlier than the molecular dating studies. Moreover, plant fossil records provide more direct and reliable evidence, with high-quality geochronology and unique taphonomy enabling a spatial-temporal exploration into the occurrence of EBLFs.

In a study published in the journal Plant Diversity , a team of researchers from the Xishuangbanna Tropical Botanical Garden (XTBG), Chinese Academy of Sciences (CAS), tapped plant fossils to explore where and where EBLFs occurred in East Asia.

"Modern EBLFs are primarily characterized by families including Fagaceae, Lauraceae, Magnoliaceae and Theaceae," explains Zhekun Zhou, senior and co-corresponding author of the study. This biome typically occurs under a monsoon climate, with hot, moist summers and fairly cold winters. Therefore, paleoclimate and paleovegetation of fossil assemblages primarily serve as important indicators to identify the occurrence of EBLFs."

Compiling a dataset of Cenozoic paleobotanical records from four regions (southwestern China, southern China, central-eastern China and Japan) in East Asia, the researchers reconstructed the fossil history for EBLFs' dominant genera, calculated the paleoclimate and determined the most similar extant vegetation for each fossil assemblage.

"The results showed that most plant fossil assemblages have taken the appearance of EBLFs in East Asia during geological time. Combining the peak period of appearance for dominant genera and location of fossil sites, this inferred that occurrence of EBLFs has a different temporal-spatial pattern," adds Zhou.

Further, the research collaborated with Prof. Paul J. Valdes and Dr. Alex Farnsworth to conduct paleoclimate simulations based on the Hadley Centre Coupled Model version3 (HadCM3) at the University of Bristol in the UK.

Through a comparison of the quantitative reconstruction and simulated outputs, they deduced that the precipitation of the wettest quarter (PWetQ) exceeding 600 mm is an important factor for the occurrence of EBLFs. Combined with the latest studies on the Asian monsoon, this study suggested that the multistage evolution of the Asian monsoon led to a diverse occurrence of EBLFs in East Asia.

"In contrast to the previously prevailing views, our findings highlight that the EBLFs in East Asia occurred in different temporal-spatial patterns," Zhou concludes.

Provided by KeAi Communications Co., Ltd.

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    Conducting an article critique for a quantitative research study: Perspectives for doctoral students and other novice readers (Vance et al.) Critique Process (Boswell & Cannon) The experience of critiquing published research: Learning from the student and researcher perspective (Knowles & Gray)

  12. Conducting an article critique for a quantitative research study

    However, a fundamental knowledge of research methods is still needed in order to be successful. Because there are few published examples of critique examples, this article provides the practical points of conducting a formally written quantitative research article critique while providing a brief example to demonstrate the principles and form.

  13. Step-by-step guide to critiquing research. Part 1: quantitative

    Abstract. When caring for patients, it is essential that nurses are using the current best practice. To determine what this is, nurses must be able to read research critically. But for many qualified and student nurses, the terminology used in research can be difficult to understand, thus making critical reading even more daunting.

  14. How to appraise quantitative research

    Title, keywords and the authors. The title of a paper should be clear and give a good idea of the subject area. The title should not normally exceed 15 words 2 and should attract the attention of the reader. 3 The next step is to review the key words. These should provide information on both the ideas or concepts discussed in the paper and the ...

  15. Quantitative Communication Research: Review, Trends, and Critique

    Quantitative Communication Research: Review, Trends, and Critique 71 2013 , 1 (1), 69-84 among other things, evaluated by objectivity-closeness and the safeguards against subjectivity. Most would ... nevertheless is nearly universally practiced in published quantitative communication research as well as most other quantitative social sciences ...

  16. PDF Step'by-step guide to critiquing research. Part 1: quantitative research

    to identify what is best practice. This article is a step-by step-approach to critiquing quantitative research to help nurses demystify the process and decode the terminology. Key words: Quantitative research methodologies Review process • Research]or many qualified nurses and nursing students research is research, and it is often quite difficult

  17. Progress in Remote Sensing and GIS-Based FDI Research Based on ...

    Foreign direct investment (FDI) by transnational companies (TNCs) is the primary indicator of urban globalization. The initial publication on the topic of remote sensing and geographic information system-based urban globalization research was published in 1981. However, the number of publications on this topic remains relatively limited. Despite some advances in the field in recent decades ...

  18. Heterogeneous occurrence of evergreen broad-leaved forests revealed by

    Further, the research collaborated with Prof. Paul J. Valdes and Dr. Alex Farnsworth to conduct paleoclimate simulations based on the Hadley Centre Coupled Model version3 (HadCM3) at the ...