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Скачать или смотреть One-Way ANOVA Follow-Up Tests in SPSS Explained (Fisher LSD vs. Tukey) | Decode the World Ep. 28

  • Paladinsane: Mind & Methods
  • 2025-12-04
  • 14
One-Way ANOVA Follow-Up Tests in SPSS Explained (Fisher LSD vs. Tukey) | Decode the World Ep. 28
one way ANOVAANOVA post hocSPSS ANOVASPSS post hocFisher LSDTukey HSDmultiple comparisonspsychology statisticsSPSS tutorialdata analysis SPSSinterpreting SPSS outputANOVA examplepost hoc testsprosocial spending studyAknin studysubjective well beingpartial eta squaredAPA resultspsychology research methodsstatistics for studentsdecode the world
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Описание к видео One-Way ANOVA Follow-Up Tests in SPSS Explained (Fisher LSD vs. Tukey) | Decode the World Ep. 28

This episode of Decode the World: An Introduction to Statistics marks a big milestone... you wrap up the final significance test of the course. After mastering the one-way ANOVA, now it’s time to complete the story with follow-up comparisons (a.k.a. post-hoc tests) in SPSS.

You’ll see exactly
👉how researchers figure out which group differs from which
👉why ANOVA must act as the gatekeeper before running any follow-up analyses
👉how different post-hoc tests (Fisher LSD, Tukey HSD, Bonferroni, SIDAK, Games-Howell, Scheffé) each tell a slightly different statistical “story.”

Using the real psychology study “Making a Difference Matters: Impact Unlocks the Emotional Benefits of Prosocial Spending” (Aknin et al.), we walk through a full “Do-It-With-Me” SPSS demo: setting up your conditions, labeling factors, running the ANOVA, and interpreting Fisher’s LSD and Tukey’s HSD side-by-side. You’ll also learn how to check descriptives to catch SPSS quirks, why Type I error control matters, and how to judge whether a researcher chose an appropriate follow-up test... not just any test.

🏈*What We Tackle*
🔄 Why ANOVA must be significant first: the “gatekeeper” that protects against Type I error inflation
🐟🦃 Fisher’s LSD vs. Tukey’s HSD: how two follow-up tests produce different interpretations
📊 Interpreting SPSS post-hoc tables: I vs. J, mean differences, p-values, and those helpful asterisks
🧠 The Aknin et al. study recap: how meaningful vs. non-meaningful giving affects subjective well-being
📂 Setting up SPSS correctly: numeric condition coding, value labels, and catching common errors
🔍 Why multiple follow-up tests exist: balancing power vs. conservatism across research contexts
🕵️ The detective analogy: ANOVA = the crime, post-hoc = solving the mystery

🎯 Key Skills You’ll Build
🗂️*Creating ANOVA-ready datasets* with numeric factors and human-readable labels
👀 Reading ANOVA and post-hoc tables without getting overwhelmed
📈 Interpreting F, df, p, and effect sizes (partial eta squared) in context
🔎 Evaluating follow-up test choices based on sample size, variance assumptions, and research goals
✍️ Translating statistical output into APA conclusion sentences
🕵 Identifying meaningful group differences using multiple post-hoc approaches

New here? 👍 If this helped, like, subscribe, and turn on notifications so you don’t miss what’s next
✅ Weekly, practical stats you can actually use
🎯 Real psychology studies, step-by-step
🧑‍💻 SPSS workflows you can reproduce for homework and research

💭 Comment: Which follow-up test's story do you believe? Fisher’s LSD or Tukey’s HSD? 👇Let’s compare notes below 👇

#ANOVA #PostHocTests #SPSS #Statistics #FisherLSD #TukeyHSD #Psychology #DataAnalysis
#InferentialStatistics #ProsocialSpending #AkninStudy #ResearchMethods #DecodeTheWorld #PsychStats

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