Muhammad Behroz K.

❓ Is your questionnaire measuring what you think it measures? If a supervisor, committee or reviewer has questioned your scale, or you are unsure which analysis fits your survey data, I can help you reach results you can explain and defend. 🔎 YOU MAY BE IN THIS SITUATION IF: ▸ You built or adapted a questionnaire and need to show it is valid and reliable ▸ Your factor analysis does not show the structure you expected, and you do not know why ▸ You have survey data but are not sure which test answers your research question ▸ A reviewer asked for more evidence on validity or assumptions ▸ You ran an analysis with an AI tool and want an independent check 📦 WHAT YOU RECEIVE: ✔ A clear explanation of the method I chose and why it fits your question ✔ Data screening and assumption checks, documented ✔ Clean output and APA 7 tables ✔ A plain-English written interpretation you can understand and talk through ✔ Answers to your follow-up questions for 7 days after delivery 🎯 BEST FIT: clinical, health, nursing, mental health and behavioral research; patient-reported measures; psychology and social science surveys. 📩 HOW WE START: Send me your research question, your measures, your sample size and your deadline. I will reply with the approach I would take, anything I need from you, and a timeline. 🎓 WHY CLIENTS TRUST ME: I am a registered clinical psychologist (MS, Clinical Psychology) specializing in psychometrics. My MS thesis validated a body dysmorphic concerns scale on a clinical sample, and I have completed statistical analysis for two doctoral-level manuscripts in health research. 📊 METHODS: exploratory factor analysis, confirmatory factor analysis, Cronbach's alpha, construct validity, regression, mediation and moderation, group comparisons, cluster analysis. 🛠 TOOLS: IBM SPSS, IBM SPSS Amos, R, Jamovi, Stata, Excel. 📌 SCOPE: Statistical analysis, clear interpretation and feedback on your results write-up, so the paper stays fully yours.