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Research Beginner @researchbegin
Joined May 2025
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πŸ“‰ 3 key regression types: βœ” Linear βœ” Multiple βœ” Logistic Choose based on your variables! #Regression #DataAnalysis
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πŸ“ Outliers? Detect using: βœ” Boxplots βœ” Z-scores βœ” IQR method Don’t ignore them! #DataAnalysis #Outliers
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βš–οΈ Ethics in research = protect participants βœ” Consent βœ” Confidentiality βœ” No harm #ResearchEthics
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πŸ“Š A good dataset is: βœ” Clean βœ” Complete βœ” Consistent βœ” Relevant Data quality determines results πŸ”₯
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πŸ“Š Quantitative sampling: βœ” Simple random βœ” Stratified βœ” Systematic βœ” Cluster Choose wisely! #Sampling #ResearchMethods
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πŸ›  Research tools you need: βœ” Excel/SPSS βœ” Reference manager βœ” Note-taking tool βœ” Plagiarism checker Work smarter πŸ”₯
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πŸ“‹ Before research: βœ” Choose topic βœ” Review literature βœ” Define objectives βœ” Select methods Preparation matters!
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⚠️ Bias in research = systematic error Common types: β€’ Selection bias β€’ Response bias β€’ Recall bias Bias distorts results control it! #ResearchBias #DataQuality
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πŸ”— Synthesis = combining studies into one idea Don’t list studies connect them! #LiteratureReview #Research
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πŸ“ˆ A good graph must have: βœ” Clear title βœ” Labeled axes βœ” Proper scale βœ” Legend Clarity > decoration #DataVisualization #Research
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πŸ§ͺ Use qualitative when you want to: βœ” Explore experiences βœ” Understand meanings βœ” Study behaviors #QualitativeResearch
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🧠 Critical Analysis = evaluate, not summarize Ask: β€’ What works? β€’ What doesn’t? β€’ What’s missing? #CriticalThinking #Research
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πŸ“š A Literature Gap = what existing studies have missed πŸ” It could be: β€’ unanswered questions β€’ unexplored areas β€’ conflicting findings πŸ‘‰ Your research fills that gap #LiteratureReview #ResearchGaps #AcademicResearch
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Apr 22
πŸ“Š Running a T-Test? Follow these steps: 1️⃣ State hypotheses 2️⃣ Check assumptions 3️⃣ Choose test type 4️⃣ Run test 5️⃣ Interpret p-value Simple steps = accurate results βœ”οΈ #TTest #DataAnalysis #Statistics #ResearchMethods
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🧹 Clean data = reliable results Steps: 1️⃣ Remove duplicates 2️⃣ Handle missing data 3️⃣ Fix errors 4️⃣ Standardize formats Skip this = flawed analysis ⚠️ #DataCleaning #DataAnalysis #ResearchMethods
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πŸ“Š Running an ANOVA? Follow these steps: 1️⃣ Define groups 2️⃣ Check assumptions 3️⃣ Run ANOVA 4️⃣ Post-hoc tests 5️⃣ Interpret results More than 2 groups? ANOVA is your go-to πŸ”₯ #ANOVA #Statistics #DataAnalysis #ResearchMethods
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πŸ“Š Confidence Interval (CI) = range where the true value likely falls Example: 95% CI β†’ you’re 95% confident the value lies in that range #ConfidenceInterval #Statistics #DataAnalysis
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πŸ“ Effect Size shows how strong a relationship or difference is not just if it exists. Big difference β‰  always meaningful #EffectSize #Statistics #ResearchBeginner
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πŸ“‰ p-value = probability your result is due to chance βœ” p < 0.05 β†’ significant βœ” p > 0.05 β†’ not significant Don’t just report it understand it! #PValue #Statistics #ResearchBeginner
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πŸ“Š Types of T-Tests πŸ”Ή Independent T-Test β†’ compares 2 different groups πŸ”Ή Paired T-Test β†’ compares same group (before vs after) Choose wisely β€” it affects your results! #TTest #Statistics #DataAnalysis #ResearchMethods
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