Forms, surveys and exams — with examples and numbers
Every post answers one specific question: why respondents abandon a form, how NPS is calculated, how to keep an online exam cheat-free. No vague generalities.
10 posts published
Questionnaire Design: A Guide to Standard Questionnaires for Theses and Research (With Sample Questions)
The standard structure of a questionnaire, choosing a scale, validity (face, content with Lawshe's CVR table, construct) and reliability (Cronbach's alpha with a worked example), sample size, a complete 15-item sample, running it online, and exporting to SPSS.
Read the post →The Complete Guide to Creating an Online Survey: From Question Design to Analyzing Results
Nine steps to an online survey that actually leads to a decision: defining the goal, sample size with Cochran's formula, rules for writing questions, length and structure, distribution, raising the response rate, sound analysis, and a 20-point checklist before you hit send.
What Is NPS, and Why Averaging the Scores Is Wrong
NPS is not the average of the scores; it's the percentage of promoters minus the percentage of detractors. Take the average and you produce a number that has no interpretation.
Running Your Thesis Questionnaire Online: From Design to SPSS Export
Ten practical steps for running a thesis questionnaire online: preparation before you build, starting from a standard or researcher-made instrument, coding for SPSS, an informed-consent page, blocking duplicates, piloting, distributing with a short link and QR code, daily monitoring and a .sav export with labels ready.
How to Determine Sample Size: Cochran's Formula, the Morgan Table or Power Analysis
Cochran and Morgan were built to estimate a proportion in a population, not to test a relationship. With worked examples, this guide shows when to use which method, how to apply the finite population correction and allow for attrition, and what power analysis gives for correlation, regression and group comparisons.
Questionnaire Validity and Reliability: Types, How to Measure Them, and a Sample Write-Up
Validity says the questionnaire measures what it claims to; reliability says it gives the same number if you measure again. The types of each, the minimum expert votes for Lawshe's CVR, computing the CVI, Cronbach's alpha with a worked example, test-retest and split-half, and ready-to-adapt text for your methods chapter.
Analyzing a Likert Questionnaire in Excel and SPSS, Step by Step
Seven steps from raw data to the tables in your results chapter: coding, cleaning, reversing negative items, alpha per dimension, dimension scores, descriptive statistics and a one-sample t-test against the theoretical midpoint of 3, with Excel formulas, SPSS syntax and when to switch to a non-parametric test.
What Is a Standard Questionnaire, and Where Do You Find a Validated Version?
A questionnaire is standard when it has a named author and a published paper, reported validity and reliability, fixed scoring rules and, ideally, a validated translation in your language. Translation vs validation vs norming, how to find a trustworthy version, what licensing really means, red flags of fake 'standard' files, and the specs of eight common instruments.
Open-Ended or Closed Questions: Which One Goes Where
Closed questions give you numbers; open-ended questions give you reasons. Use either in the wrong place and you get meaningless data or an analysis that can't be done.
Likert Scales: Five Points or Seven? And Do You Need a Midpoint?
The number of points pulls precision and response rate in opposite directions. The right choice depends on whether you want to detect fine differences or make a decision.
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