Hello ,
Assignment 1: Quantitative Journal Article Review (including Final Paper Topic declaration) – Part 1
Learning Objectives
Critically review and evaluate quantitative research.
Search for and explore peer-reviewed counselling quantitative research articles; synthesize and critique selected studies’ findings.
Demonstrate elementary research design skills.
Proficiently apply and discuss course concepts.
Purpose
The purpose of an article review is to communicate the study’s main points and discuss the design’s implications, strengths, and weaknesses. The review is not meant to re-iterate the details of the study nor to paraphrase each point; instead, it should summarize, synthesize, and discuss the study. These assignments are an opportunity for you to demonstrate your understanding of the course concepts. For this paper, write in the third person; the idea is always to remain neutral, objective, and personally uninvolved.
Complete a Journal Article Review (JAR1) using this JAR1 Template. The article you choose to review, will, ideally, contribute to the selection and development of your final paper topic. Locate ONE quantitative journal article related to counselling from scholarly peer-reviewed journal articles (published within the last 10 years) available online. You may search for your article via the Yorkville Library or through other online scholarly search engines or databases, such as Google Scholar, ERIC, BASE, APA PsycInfo, PubMed Health.
For JAR1, the research design must be quantitative. Quantitative research design uses deductive reasoning. The purpose of quantitative research is to test hypotheses, look at cause and effect, and make predictions. Quantitative data analysis is based on precise measurements using structured and validated data-collection instruments. The final research report for a quantitative study is a statistical report with correlations, comparisons of means, and the statistical significance of findings as appropriate to the particular design of the study. For JAR1, the research method, data analysis (statistics), and results should be clearly discussed.
