Academic Decoder (@academicdecoder)

Running a Chi-Square test in SPSS? Check the expected counts before reporting your result. If too many expected counts are below 5, the usual Chi-Square result may not be reliable. Academic Decoder helps you spot and explain this assumption check. Save this SPSS tip for your results write-up…

Your chi-square is significant… so what do you actually write? 😅 Data of the Week, Part 2: from SPSS output to an APA 7 paragraph, plus Cramér's V, a plain-English meaning, a chart and the examiner question you should be ready for. Missed Part 1? It shows where every number lives in SPSS. 💬 Which…

How to read chi-square output in SPSS 📊 The 5 numbers your dissertation results chapter needs Data of the Week, Part 1: a chi-square test of independence in SPSS, step by step. ✅ Crosstab: the pattern you describe (% within group) ✅ Pearson Chi-Square row: χ² value, df and p-value ✅ The expected…

When should you use a Chi-Square test of independence? Use it to check whether two categorical variables—such as student type and learning preference—are related. The free Academic Decoder Test Navigator helps you choose a statistical test based on your research design. Save this before choosing…

Not sure which statistical test fits your study? The free Test Navigator helps you choose based on your research design, explains why the test fits, and shows which assumptions to check. Free to use. No account needed. Find your test — link in my bio. #AcademicDecoder #StatisticsHelp…

SPSS output can look like a wall of numbers. The free SPSS Output Explorer lets you tap highlighted values to learn what they mean, why they matter and how to report them in APA style. Explore six tests, from t-tests to regression. It uses simulated examples to teach you to read SPSS output; it…

R² = .40 does not mean your model is 40% accurate. It means the model accounts for 40% of the variation in the outcome in your sample. Save this before interpreting R-squared. #AcademicDecoder #StatisticsMadeSimple #Regression #R-squared #dissertationlife

Not sure which statistical test to use, how to read your SPSS output, or how to report your results? Explore the free tools on Academic Decoder: Test Navigator, SPSS Output Explorer and step-by-step APA 7 guides. No account needed. Try them via the link in my bio. #AcademicDecoder #SPSS…

Part 2: Pearson correlation decoded 📊 See how Academic Decoder turns SPSS results into clear, dissertation-ready reporting. Study hours and exam scores were positively correlated (r = .586, p < .001)—but correlation doesn’t prove causation.

How do you interpret Pearson’s r? The sign shows the direction; the distance from zero shows the strength. Remember: correlation does not prove cause and effect. Save this before interpreting your result. #AcademicDecoder #StatisticsMadeSimple #PearsonCorrelation #ResearchMethods #DissertationTips

Your correlation is significant. But is it strong? 👀 Circle these 3 numbers in your SPSS output: r, Sig. (2-tailed) and N. Part 2 turns them into your APA paragraph. Example data, real SPSS layout. #spss #dissertationhelp #statisticshelp #academicdecoder #phdlife

Correlation or regression? Start with your research question. Are you describing a relationship, or using one variable to predict another? Save this before choosing your analysis. #AcademicDecoder #StatisticsMadeSimple #ResearchMethods #Correlation #regression

Post-hoc comparisons help show which pairs differ after an ANOVA. Tukey, Bonferroni and Games–Howell handle multiple comparisons in different ways. Choose the method that fits your analysis; you don’t run all three. #PostHoc #ANOVA #StatisticsMadeSimple #SPSSHelp #academicdecoder

A significant ANOVA suggests at least one mean differs. It doesn’t tell you which keyboards differ—that’s where appropriate post-hoc comparisons come in. Save this before interpreting your results. #ANOVA #PostHoc #DataAnalysis #SPSS #academicdecoder

Part 2: one-way ANOVA from SPSS output to APA ✍️ ✅ F(2, 72) = 3.61, p = .032, η² = .09 ✅ Flipped beat lecture (69.08 vs 62.04) ✅ Online didn't differ from either Report the F test first, then the post-hoc result. Use the Decoder to understand it, then write it in your own words. Missed Part 1?…

Your ANOVA is significant… but which groups actually differ? 🤔 Teaching format and exam scores (lecture, flipped, online): ✏️ Levene's Sig. = .448 → above .05, so Tukey is fine ✏️ ANOVA: F(2, 72) = 3.61, p = .032 ✏️ Tukey: only flipped vs lecture is starred (p = .029) A significant F only tells…

One-Way or Repeated-Measures ANOVA? Same three keyboard types, but the study design matters. Different people using each keyboard may call for a one-way ANOVA; the same people trying all three may call for repeated-measures ANOVA. The free Test Navigator can help you choose. #ANOVA #Statistics…

Choosing between an independent t-test and Mann–Whitney U? Start with your research question, outcome and group design. Don’t choose a test based on a single Shapiro–Wilk result. #MannWhitneyU #IndependentTTest #ChoosingStatisticalTests #SPSSHelp #StatisticsMadeSimple

Same people measured twice, or two separate groups? That one answer can change the test your research needs. The Test Navigator helps you work through the choice step by step. #TestNavigator #StatisticsForStudents #PairedData #IndependentGroups #ResearchTips

Two groups of scores don’t automatically mean an independent t-test. First, check whether the scores come from different people or from the same people measured twice. That detail changes which t-test you need. Save this for your next analysis. #StatisticsMadeSimple #IndependentTTest #PairedTTest…

Part 2: from SPSS output to an APA write-up ✍️ Same anxiety study, now decoded: ✅ t(31) = 3.35, p = .002 ✅ Medium effect (d = 0.59) ✅ CI doesn't cross zero, so the drop is real Use the Decoder to understand your result, then write it in your own words. Missed Part 1? It's on my page, where we…

Same students, before and after: which numbers actually matter in a paired t-test? SPSS gives you 4 tables. Here's what to look at: ✏️ Paired Samples Statistics → your two means ✏️ Correlations → not your result! Skip it ✏️ Paired Samples Test → t, df and two-sided p ✏️ Effect Sizes → Cohen's d…

Your outcome type matters. Numerical, categorical or ordered knowing what you’re analysing helps point you toward the right statistical test. Follow for test selection made simple. #Statistics #SPSS #ResearchMethods #DissertationTips #AcademicDecoder

Difference or relationship? Start with your research question before choosing your statistical test. Save this for your next analysis. #Statistics #SPSS #ResearchMethods #DissertationTips #AcademicDecoder

Ran an Independent Samples t-test... but is your write-up actually correct? t-value, p-value, Levene's test, effect size do you know what each one is actually telling you, or are you just copying numbers into a table? Academic Decoder reads your output for you — plain English, no jargon, with a…

Do students on placement report lower wellbeing? Here's how to pick the right test. Break your research question into 3 parts ✏️ Aim: compare ✏️ Outcome: wellbeing score (continuous) ✏️ Groups: placement vs no placement (two separate groups) Comparing a continuous outcome between two independent…

Stop guessing your statistical test. Start with your research question, outcome type, and study design — then let those decisions guide you. Try the free Academic Decoder Test Navigator. Link in bio. #Statistics #SPSS #ResearchMethods #DissertationTips #AcademicDecoder

Start with the plots: use a histogram to see the overall shape and a Q–Q plot to check how closely the points follow the line. Then read Shapiro–Wilk alongside your sample size and analysis context. Follow for SPSS explained simply. #SPSS #StatisticsHelp #DissertationHelp #ResearchMethods…

Part 2: decoding the pass/fail study Logistic output is where most students get stuck. It reports odds ratios, not simple differences, and that's easy to misread. In this one: ✅ Which values to take from SPSS ✅ What the odds ratio actually means ✅ How it becomes a clear APA write-up Always check…

Pass or fail? That one outcome decides your whole test. 🎓 Break your research question into 3 parts: ✏️ Aim: predict ✏️ Outcome: pass / fail ✏️ Predictor: study hours Two outcome categories = binary logistic regression. Then check it in SPSS Variable View, and the free Test Navigator confirms it…