<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Celsus Blog</title><link>https://www.celsusanalysis.com/blog/</link><description>Tez ve makale istatistiği, SPSS/R analizleri, ekonometri, meta-analiz ve akademik yöntem üzerine uygulamalı rehberler.</description><language>tr</language><item><title>SPSS ile Tez Analizi: Adım Adım Rehber (2026)</title><link>https://www.celsusanalysis.com/blog/spss-ile-tez-analizi-adim-adim-rehber.html</link><guid>https://www.celsusanalysis.com/blog/spss-ile-tez-analizi-adim-adim-rehber.html</guid><pubDate>2026-06-12</pubDate><description>SPSS ile tez veri analizi nasıl yapılır? Veri girişinden normallik testine, doğru test seçiminden APA raporlamaya kadar adım adım uygulamalı rehber.</description></item><item><title>Thesis Data Analysis in SPSS: A Step-by-Step Guide</title><link>https://www.celsusanalysis.com/blog/en/thesis-data-analysis-spss-guide.html</link><guid>https://www.celsusanalysis.com/blog/en/thesis-data-analysis-spss-guide.html</guid><pubDate>2026-06-12</pubDate><description>How to run thesis data analysis in SPSS step by step: data entry and cleaning, normality checks, choosing the right test, and APA 7 reporting.</description></item><item><title>Hangi İstatistiksel Testi Kullanmalıyım? Araştırmacılar için Karar Rehberi</title><link>https://www.celsusanalysis.com/blog/hangi-istatistiksel-test-karar-rehberi.html</link><guid>https://www.celsusanalysis.com/blog/hangi-istatistiksel-test-karar-rehberi.html</guid><pubDate>2026-06-10</pubDate><description>t-testi mi ANOVA mı? Pearson mı Spearman mı? Araştırma sorunuza, değişken türünüze ve dağılıma göre doğru istatistiksel testi seçmenizi sağlayan karar rehberi.</description></item><item><title>Which Statistical Test Should I Use? A Decision Guide</title><link>https://www.celsusanalysis.com/blog/en/which-statistical-test-decision-guide.html</link><guid>https://www.celsusanalysis.com/blog/en/which-statistical-test-decision-guide.html</guid><pubDate>2026-06-10</pubDate><description>Not sure which statistical test to use? A decision guide that matches your research question, variable types and distribution to the correct test.</description></item><item><title>Meta-Analiz Nedir? PRISMA Uyumlu Sistematik Derleme Rehberi</title><link>https://www.celsusanalysis.com/blog/meta-analiz-nedir-prisma-rehberi.html</link><guid>https://www.celsusanalysis.com/blog/meta-analiz-nedir-prisma-rehberi.html</guid><pubDate>2026-06-08</pubDate><description>Meta-analiz ve sistematik derleme nasıl yapılır? PRISMA 2020 akışı, etki büyüklüğü birleştirme, heterojenlik (I²) ve yayın yanlılığı analizleri tek rehberde.</description></item><item><title>What Is Meta-Analysis? A PRISMA-Compliant Review Guide</title><link>https://www.celsusanalysis.com/blog/en/what-is-meta-analysis-prisma-guide.html</link><guid>https://www.celsusanalysis.com/blog/en/what-is-meta-analysis-prisma-guide.html</guid><pubDate>2026-06-08</pubDate><description>What is meta-analysis and how is it done? PRISMA 2020 flow, pooling effect sizes, heterogeneity (I²) and publication bias in one practical guide.</description></item><item><title>APA 7&#x27;ye Göre İstatistik Raporlama: Pratik Kontrol Listesi</title><link>https://www.celsusanalysis.com/blog/apa-7-istatistik-raporlama-kontrol-listesi.html</link><guid>https://www.celsusanalysis.com/blog/apa-7-istatistik-raporlama-kontrol-listesi.html</guid><pubDate>2026-06-05</pubDate><description>APA 7 istatistik raporlama kuralları: t-testi, ANOVA, korelasyon ve regresyon için örnek cümleler, etki büyüklüğü, tablo biçimi ve hakem uyarıları.</description></item><item><title>How to Report Statistics in APA 7: A Practical Checklist</title><link>https://www.celsusanalysis.com/blog/en/how-to-report-statistics-apa-7.html</link><guid>https://www.celsusanalysis.com/blog/en/how-to-report-statistics-apa-7.html</guid><pubDate>2026-06-05</pubDate><description>A practical APA 7 checklist for reporting t-tests, ANOVA, correlation and regression — worked examples, effect sizes and table rules.</description></item><item><title>Panel Data Analysis: Fixed or Random Effects? (The Hausman Test)</title><link>https://www.celsusanalysis.com/blog/en/panel-data-fixed-random-effects-hausman.html</link><guid>https://www.celsusanalysis.com/blog/en/panel-data-fixed-random-effects-hausman.html</guid><pubDate>2026-06-03</pubDate><description>Fixed or random effects in panel data analysis? The Hausman test decision rule, within and GLS estimators, key diagnostics and robust standard errors.</description></item><item><title>Panel Veri Analizi: Sabit Etkiler mi, Tesadüfi Etkiler mi? (Hausman Testi)</title><link>https://www.celsusanalysis.com/blog/panel-veri-analizi-sabit-tesadufi-etkiler-hausman.html</link><guid>https://www.celsusanalysis.com/blog/panel-veri-analizi-sabit-tesadufi-etkiler-hausman.html</guid><pubDate>2026-06-03</pubDate><description>Panel veri analizinde sabit etkiler ile tesadüfi etkiler seçimi: Hausman testi karar kuralı, within ve GLS tahmincileri, tanı testleri ve dirençli hatalar.</description></item><item><title>Stationarity and Unit Root Tests in Time Series (ADF, PP, KPSS)</title><link>https://www.celsusanalysis.com/blog/en/stationarity-unit-root-tests-time-series.html</link><guid>https://www.celsusanalysis.com/blog/en/stationarity-unit-root-tests-time-series.html</guid><pubDate>2026-05-30</pubDate><description>A practical unit root test guide: ADF, PP and KPSS hypotheses, lag selection, deterministic terms, spurious regression and a joint decision strategy.</description></item><item><title>Zaman Serisinde Durağanlık ve Birim Kök Testleri (ADF, PP, KPSS)</title><link>https://www.celsusanalysis.com/blog/zaman-serisi-duraganlik-birim-kok-testleri.html</link><guid>https://www.celsusanalysis.com/blog/zaman-serisi-duraganlik-birim-kok-testleri.html</guid><pubDate>2026-05-30</pubDate><description>Birim kök testi rehberi: ADF, PP ve KPSS hipotezleri, gecikme seçimi, deterministik bileşenler, sahte regresyon riski ve ortak karar stratejisi tek yazıda.</description></item><item><title>Cointegration and Causality: Johansen, VECM and Granger Explained</title><link>https://www.celsusanalysis.com/blog/en/cointegration-causality-johansen-vecm-granger.html</link><guid>https://www.celsusanalysis.com/blog/en/cointegration-causality-johansen-vecm-granger.html</guid><pubDate>2026-05-27</pubDate><description>A practical guide to cointegration analysis: Johansen trace and max-eigenvalue tests, VECM specification, error-correction terms and Granger causality.</description></item><item><title>Eşbütünleşme ve Nedensellik: Johansen, VECM ve Granger Rehberi</title><link>https://www.celsusanalysis.com/blog/esbutunlesme-nedensellik-johansen-vecm-granger.html</link><guid>https://www.celsusanalysis.com/blog/esbutunlesme-nedensellik-johansen-vecm-granger.html</guid><pubDate>2026-05-27</pubDate><description>Eşbütünleşme analizi rehberi: Johansen iz ve maksimum özdeğer testleri, VECM kurulumu, hata düzeltme terimi yorumu ve Granger nedensellik adım adım.</description></item><item><title>The ARDL Bounds Test: When and How to Use It</title><link>https://www.celsusanalysis.com/blog/en/ardl-bounds-test-guide.html</link><guid>https://www.celsusanalysis.com/blog/en/ardl-bounds-test-guide.html</guid><pubDate>2026-05-24</pubDate><description>When and how to use the ARDL bounds test: F-statistic decision rules, error-correction terms, long-run coefficients and CUSUM stability diagnostics.</description></item><item><title>ARDL Sınır Testi: Ne Zaman ve Nasıl Kullanılır?</title><link>https://www.celsusanalysis.com/blog/ardl-sinir-testi-rehberi.html</link><guid>https://www.celsusanalysis.com/blog/ardl-sinir-testi-rehberi.html</guid><pubDate>2026-05-24</pubDate><description>ARDL sınır testi ne zaman kullanılır? F sınır testi karar kuralları, hata düzeltme katsayısı, uzun dönem katsayıların türetilmesi ve CUSUM tanı testleri.</description></item><item><title>GARCH Modelleriyle Volatilite Analizi: Finans Tezleri için Rehber</title><link>https://www.celsusanalysis.com/blog/garch-volatilite-analizi-rehberi.html</link><guid>https://www.celsusanalysis.com/blog/garch-volatilite-analizi-rehberi.html</guid><pubDate>2026-05-21</pubDate><description>GARCH modeli ile volatilite analizi: ARCH-LM testi, GARCH(1,1) kurulumu, kalıcılık (α+β), EGARCH ve GJR uzantıları, Student-t seçimi ve tahmin adımları.</description></item><item><title>Volatility Modelling with GARCH: A Guide for Finance Theses</title><link>https://www.celsusanalysis.com/blog/en/garch-volatility-modelling-guide.html</link><guid>https://www.celsusanalysis.com/blog/en/garch-volatility-modelling-guide.html</guid><pubDate>2026-05-21</pubDate><description>How to fit a GARCH model: ARCH-LM testing, GARCH(1,1), persistence (α+β), EGARCH and GJR extensions, Student-t errors and volatility forecasting.</description></item><item><title>G*Power ile Örneklem Büyüklüğü ve Güç Analizi</title><link>https://www.celsusanalysis.com/blog/gpower-orneklem-buyuklugu-guc-analizi.html</link><guid>https://www.celsusanalysis.com/blog/gpower-orneklem-buyuklugu-guc-analizi.html</guid><pubDate>2026-05-18</pubDate><description>Örneklem büyüklüğü hesaplama rehberi: G*Power ile a-priori güç analizi, etki büyüklüğü seçimi, t-testi/ANOVA/regresyon için gerekli N ve raporlama kalıbı.</description></item><item><title>Sample Size and Power Analysis with G*Power</title><link>https://www.celsusanalysis.com/blog/en/gpower-sample-size-power-analysis.html</link><guid>https://www.celsusanalysis.com/blog/en/gpower-sample-size-power-analysis.html</guid><pubDate>2026-05-18</pubDate><description>Sample size calculation made practical: a-priori power analysis in G*Power, effect size choice, required N for t-tests, ANOVA and regression, reporting.</description></item><item><title>Ölçek Geliştirme: AFA ve DFA Adımları</title><link>https://www.celsusanalysis.com/blog/olcek-gelistirme-afa-dfa-adimlari.html</link><guid>https://www.celsusanalysis.com/blog/olcek-gelistirme-afa-dfa-adimlari.html</guid><pubDate>2026-05-15</pubDate><description>Ölçek geliştirme sürecinde AFA ve DFA adımları: KMO ve Bartlett, paralel analiz, döndürme seçimi, madde atma kuralları, uyum indeksleri, AVE ve CR.</description></item><item><title>Scale Development: EFA and CFA Step by Step</title><link>https://www.celsusanalysis.com/blog/en/scale-development-efa-cfa-steps.html</link><guid>https://www.celsusanalysis.com/blog/en/scale-development-efa-cfa-steps.html</guid><pubDate>2026-05-15</pubDate><description>Scale development from item pool to CFA: KMO and Bartlett, parallel analysis, rotation choice, item retention rules, fit indices, AVE and CR.</description></item><item><title>Structural Equation Modelling: AMOS or SmartPLS? Fit Indices</title><link>https://www.celsusanalysis.com/blog/en/structural-equation-modelling-amos-smartpls.html</link><guid>https://www.celsusanalysis.com/blog/en/structural-equation-modelling-amos-smartpls.html</guid><pubDate>2026-05-12</pubDate><description>Structural equation modelling with AMOS or SmartPLS? CB-SEM vs PLS-SEM, sample size rules, fit index thresholds and reporting standards explained.</description></item><item><title>Yapısal Eşitlik Modellemesi: AMOS mu SmartPLS mi? Uyum İndeksleri</title><link>https://www.celsusanalysis.com/blog/yapisal-esitlik-modellemesi-amos-smartpls.html</link><guid>https://www.celsusanalysis.com/blog/yapisal-esitlik-modellemesi-amos-smartpls.html</guid><pubDate>2026-05-12</pubDate><description>Yapısal eşitlik modellemesi için AMOS mu SmartPLS mi? CB-SEM ve PLS-SEM ayrımı, örneklem koşulları, uyum indeksi eşikleri ve raporlama standartları.</description></item><item><title>Aracılık ve Düzenleyicilik Analizi: PROCESS Makrosu Rehberi</title><link>https://www.celsusanalysis.com/blog/aracilik-duzenleyicilik-process-makrosu.html</link><guid>https://www.celsusanalysis.com/blog/aracilik-duzenleyicilik-process-makrosu.html</guid><pubDate>2026-05-09</pubDate><description>Aracılık analizi ve düzenleyicilik için PROCESS makrosu rehberi: bootstrap güven aralıkları, Model 1 ve Model 4, düzenlenmiş aracılık ve raporlama.</description></item><item><title>Mediation and Moderation with the PROCESS Macro</title><link>https://www.celsusanalysis.com/blog/en/mediation-moderation-process-macro.html</link><guid>https://www.celsusanalysis.com/blog/en/mediation-moderation-process-macro.html</guid><pubDate>2026-05-09</pubDate><description>Mediation analysis and moderation with the PROCESS macro: bootstrap confidence intervals, Models 1 and 4, moderated mediation and reporting templates.</description></item><item><title>Güvenirlik: Cronbach Alfa mı, McDonald Omega mı?</title><link>https://www.celsusanalysis.com/blog/guvenirlik-cronbach-alfa-mcdonald-omega.html</link><guid>https://www.celsusanalysis.com/blog/guvenirlik-cronbach-alfa-mcdonald-omega.html</guid><pubDate>2026-05-06</pubDate><description>Cronbach alfa hangi varsayımlara dayanır, ne zaman yanıltır? McDonald omega neden modern standart? Eşik değerler, yazılımlar ve raporlama tek rehberde.</description></item><item><title>Reliability: Cronbach&#x27;s Alpha or McDonald&#x27;s Omega?</title><link>https://www.celsusanalysis.com/blog/en/reliability-cronbach-alpha-mcdonald-omega.html</link><guid>https://www.celsusanalysis.com/blog/en/reliability-cronbach-alpha-mcdonald-omega.html</guid><pubDate>2026-05-06</pubDate><description>What does Cronbach&#x27;s alpha assume, and when does it mislead? Why McDonald&#x27;s omega is the modern default, with thresholds, software and reporting advice.</description></item><item><title>Handling Missing Data: Deletion, EM and Multiple Imputation</title><link>https://www.celsusanalysis.com/blog/en/handling-missing-data-imputation.html</link><guid>https://www.celsusanalysis.com/blog/en/handling-missing-data-imputation.html</guid><pubDate>2026-05-03</pubDate><description>A practical missing data analysis guide: MCAR, MAR and MNAR mechanisms, Little&#x27;s test, why deletion fails, EM, multiple imputation and reporting rules.</description></item><item><title>Kayıp Veri Yönetimi: Silme, EM ve Çoklu Atama</title><link>https://www.celsusanalysis.com/blog/kayip-veri-yonetimi-em-coklu-atama.html</link><guid>https://www.celsusanalysis.com/blog/kayip-veri-yonetimi-em-coklu-atama.html</guid><pubDate>2026-05-03</pubDate><description>Kayıp veri analizi rehberi: MCAR, MAR ve MNAR mekanizmaları, Little testi, listwise silmenin maliyeti, EM algoritması ve çoklu atama ile doğru raporlama.</description></item></channel></rss>