https://studentstats.net/blog Statistical analysis guides, tutorials, and tips for students and researchers. en Sat, 11 Jul 2026 09:00:00 +0200 https://studentstats.net/blog/chi-square-expected-count-less-than-5 https://studentstats.net/blog/chi-square-expected-count-less-than-5 Sat, 11 Jul 2026 08:00:00 +0000 SPSS warns that cells have expected count less than 5 in your chi-square test. What the warning means, when it invalidates your result, and three fixes with APA reporting examples. FAQ https://studentstats.net/blog/levenes-test-significant-which-row https://studentstats.net/blog/levenes-test-significant-which-row Sat, 11 Jul 2026 08:00:00 +0000 Which SPSS t-test row to read when Levene's test is significant, why the degrees of freedom have decimals, and how to report Welch's t-test in APA format. FAQ https://studentstats.net/blog/how-to-run-independent-t-test-spss https://studentstats.net/blog/how-to-run-independent-t-test-spss Fri, 10 Jul 2026 08:00:00 +0000 Complete walkthrough of the independent-samples t-test in SPSS — data setup, Define Groups, reading Levene's test, choosing the right output row, and APA reporting with Cohen's d. SPSS Tutorials https://studentstats.net/blog/how-to-run-paired-t-test-spss https://studentstats.net/blog/how-to-run-paired-t-test-spss Fri, 10 Jul 2026 08:00:00 +0000 Step-by-step paired-samples t-test in SPSS for pre-post and repeated-measures designs. Data layout, the difference-scores normality check, output tables, and APA reporting. SPSS Tutorials https://studentstats.net/blog/how-to-run-anova-spss https://studentstats.net/blog/how-to-run-anova-spss Fri, 10 Jul 2026 08:00:00 +0000 Run one-way ANOVA in SPSS from data setup through post-hoc tests. Covers Levene's test, Tukey and Games-Howell, eta squared calculation, and APA reporting. SPSS Tutorials https://studentstats.net/blog/how-to-run-chi-square-spss https://studentstats.net/blog/how-to-run-chi-square-spss Fri, 10 Jul 2026 08:00:00 +0000 Crosstabs setup, expected frequency checks, reading the chi-square output, Cramér's V effect size, and APA reporting — all step by step in SPSS. SPSS Tutorials https://studentstats.net/blog/how-to-run-correlation-spss https://studentstats.net/blog/how-to-run-correlation-spss Fri, 10 Jul 2026 08:00:00 +0000 Run Pearson and Spearman correlation in SPSS. When to use each, reading the correlation matrix, assumption checks, and APA-7 reporting format. SPSS Tutorials https://studentstats.net/blog/how-to-run-linear-regression-spss https://studentstats.net/blog/how-to-run-linear-regression-spss Fri, 10 Jul 2026 08:00:00 +0000 Simple and multiple linear regression in SPSS — variable entry, residual plots, VIF checks, interpreting R-squared and coefficients, and APA reporting. SPSS Tutorials https://studentstats.net/blog/how-to-run-mann-whitney-spss https://studentstats.net/blog/how-to-run-mann-whitney-spss Fri, 10 Jul 2026 08:00:00 +0000 The nonparametric alternative to the independent t-test. Both SPSS dialog paths, output interpretation, hand-calculated effect size r, and APA reporting with medians. SPSS Tutorials https://studentstats.net/blog/how-to-run-cronbachs-alpha-spss https://studentstats.net/blog/how-to-run-cronbachs-alpha-spss Fri, 10 Jul 2026 08:00:00 +0000 Reliability analysis in SPSS — reverse coding, running the test, reading item-total statistics, deciding when to delete items, and reporting alpha in APA format. SPSS Tutorials https://studentstats.net/blog/parametric-vs-nonparametric-tests https://studentstats.net/blog/parametric-vs-nonparametric-tests Wed, 08 Jul 2026 09:00:00 +0200 A practical decision framework for choosing between parametric and nonparametric statistical tests, with assumption checks and power trade-offs. https://studentstats.net/blog/reporting-anova-results-apa https://studentstats.net/blog/reporting-anova-results-apa Wed, 08 Jul 2026 09:00:00 +0200 How to report one-way and two-way ANOVA results in APA-7 format, with F-statistics, degrees of freedom, effect sizes, and post-hoc comparisons. https://studentstats.net/blog/reporting-chi-square-results-apa https://studentstats.net/blog/reporting-chi-square-results-apa Wed, 08 Jul 2026 09:00:00 +0200 Clear examples of reporting chi-square test of independence and goodness-of-fit results in APA-7 format, with Cramers V effect sizes and assumption checks. https://studentstats.net/blog/statistical-vs-practical-significance https://studentstats.net/blog/statistical-vs-practical-significance Wed, 08 Jul 2026 09:00:00 +0200 Why a small p-value does not always mean a meaningful result, how effect sizes bridge the gap, and what reviewers expect in your thesis. https://studentstats.net/blog/which-statistical-test https://studentstats.net/blog/which-statistical-test Wed, 01 Jul 2026 09:00:00 +0200 A step-by-step guide to choosing the right test for your thesis. Covers t-tests, ANOVA, chi-square, correlation, regression, and nonparametric alternatives. https://studentstats.net/blog/t-test-vs-anova https://studentstats.net/blog/t-test-vs-anova Wed, 24 Jun 2026 09:00:00 +0200 T-test and ANOVA both compare means, but picking the wrong one inflates your error rate. Learn when to use each, their assumptions, and what to do after ANOVA. https://studentstats.net/blog/interpreting-p-values https://studentstats.net/blog/interpreting-p-values Thu, 18 Jun 2026 09:00:00 +0200 What a p-value actually means, the five most common misinterpretations, and how to report statistical significance correctly in your thesis using APA-7 format. https://studentstats.net/blog/ai-thesis-statistics-allowed https://studentstats.net/blog/ai-thesis-statistics-allowed Wed, 10 Jun 2026 09:00:00 +0200 Can you use AI tools for your thesis statistics? Most universities allow computational tools but draw the line at AI-written text. Learn where the line falls. https://studentstats.net/blog/correlation-vs-regression https://studentstats.net/blog/correlation-vs-regression Wed, 03 Jun 2026 09:00:00 +0200 Correlation measures the strength of a relationship between two variables. Regression predicts one from the other. Learn when to use each and why it matters. https://studentstats.net/blog/normality-testing https://studentstats.net/blog/normality-testing Wed, 27 May 2026 09:00:00 +0200 Most parametric tests assume normal distribution. How to test normality using Shapiro-Wilk, Q-Q plots, skewness, and kurtosis — and what to do when it fails. https://studentstats.net/blog/chi-square-test https://studentstats.net/blog/chi-square-test Wed, 20 May 2026 09:00:00 +0200 The chi-square test compares observed and expected frequencies in categorical data. When to use it, how to read the output, and which effect size to report. https://studentstats.net/blog/cronbachs-alpha https://studentstats.net/blog/cronbachs-alpha Wed, 13 May 2026 09:00:00 +0200 Cronbach's alpha measures internal consistency of a questionnaire or scale. What values are acceptable, when to use it, and what to do when alpha is too low. https://studentstats.net/blog/sample-size-power-analysis https://studentstats.net/blog/sample-size-power-analysis Wed, 06 May 2026 09:00:00 +0200 Too few participants and your study lacks power. Too many and you waste resources. How to calculate sample size for t-tests, ANOVA, correlations, and surveys. https://studentstats.net/blog/spss-output-thesis https://studentstats.net/blog/spss-output-thesis Tue, 28 Apr 2026 09:00:00 +0200 SPSS produces dozens of tables for every test. Here is which numbers to report, how to format them in APA-7, and which tables you can safely ignore. https://studentstats.net/blog/handling-missing-data https://studentstats.net/blog/handling-missing-data Tue, 21 Apr 2026 09:00:00 +0200 Missing values can bias your results or shrink your sample. Learn the three types of missing data, when listwise deletion is OK, and when you need imputation. https://studentstats.net/blog/mann-whitney-u-test https://studentstats.net/blog/mann-whitney-u-test Tue, 14 Apr 2026 09:00:00 +0200 When your data violate normality assumptions, the Mann-Whitney U test replaces the independent t-test. How it works, when to use it, and how to report it. https://studentstats.net/blog/writing-results-section https://studentstats.net/blog/writing-results-section Tue, 07 Apr 2026 09:00:00 +0200 The results section reports your findings without interpreting them. Here is the structure, APA formatting, and common mistakes to avoid when writing it. https://studentstats.net/blog/effect-size-guide https://studentstats.net/blog/effect-size-guide Tue, 31 Mar 2026 09:00:00 +0200 P-values tell you whether an effect exists. Effect sizes tell you how large it is. The main measures, their benchmarks, and how to report them in APA. https://studentstats.net/blog/paired-vs-independent-samples https://studentstats.net/blog/paired-vs-independent-samples Tue, 24 Mar 2026 09:00:00 +0200 The choice between paired and independent samples affects which test you run. Here is how to identify your study design and pick the correct analysis. https://studentstats.net/blog/logistic-regression-guide https://studentstats.net/blog/logistic-regression-guide Tue, 17 Mar 2026 09:00:00 +0200 When your outcome is binary (yes/no), logistic regression replaces linear regression. How it works, what the output means, and how to report it. https://studentstats.net/blog/likert-scale-questionnaire https://studentstats.net/blog/likert-scale-questionnaire Tue, 10 Mar 2026 09:00:00 +0200 Likert scales produce ordinal data, but most researchers treat them as interval. What the debate means for your thesis and how to handle Likert data correctly. https://studentstats.net/blog/one-way-vs-two-way-anova https://studentstats.net/blog/one-way-vs-two-way-anova Tue, 03 Mar 2026 09:00:00 +0200 One-way ANOVA tests one factor. Two-way ANOVA tests two factors and their interaction. How to decide which you need and interpret the interaction effect. https://studentstats.net/blog/non-normal-data https://studentstats.net/blog/non-normal-data Tue, 24 Feb 2026 09:00:00 +0200 Your Shapiro-Wilk test came back significant. Here are your options — from transformations to nonparametric tests — and how to decide which fits your thesis. https://studentstats.net/blog/regression-output-interpretation https://studentstats.net/blog/regression-output-interpretation Tue, 17 Feb 2026 09:00:00 +0200 Multiple regression output has tables most students skip or misread. What each table tells you, which numbers to report, and how to format them in APA. https://studentstats.net/blog/common-thesis-statistics-mistakes https://studentstats.net/blog/common-thesis-statistics-mistakes Tue, 10 Feb 2026 09:00:00 +0200 After reviewing 300+ thesis statistics chapters, these are the ten errors we see most often — and exactly how to fix each one before your supervisor flags it. https://studentstats.net/blog/pearson-vs-spearman https://studentstats.net/blog/pearson-vs-spearman Tue, 03 Feb 2026 09:00:00 +0200 Pearson measures linear relationships between continuous variables. Spearman uses ranks and handles ordinal data and non-linear trends. Here is how to choose. https://studentstats.net/blog/quantitative-methodology-chapter https://studentstats.net/blog/quantitative-methodology-chapter Tue, 27 Jan 2026 09:00:00 +0200 The methodology chapter justifies every decision about participants, instruments, and analysis. Structure, what to include, and what supervisors look for. https://studentstats.net/blog/confidence-intervals-explained https://studentstats.net/blog/confidence-intervals-explained Tue, 20 Jan 2026 09:00:00 +0200 A 95% confidence interval does not mean there is a 95% chance the true value is inside it. What it means, how to calculate it, and how to report it in APA.