Survey Research and Analysis How-To

How surveys are weighted, adjusted, and read.

How surveys are weighted, adjusted, and read, with step-by-step analysis methods for SPSS, Python, and the browser.

Posts cover the full path from raw responses to a defensible result: base weights, nonresponse adjustment, raking, design effects, and the checks that prove the work.

Latest in Survey Research and Analysis How-To

First Post: Wednesday, November 18, 2026

The first Survey Research and Analysis How-To post arrives on Wednesday, November 18, 2026. New posts appear here as they publish.

Guides on the Shelf

Analysis Studio: The Complete How-To Guide

How to use Analysis Studio from first load to finished result: setup, survey designs, licensing, and every one of the twenty modules step by step.

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How to Weight a Survey, Step by Step

The full weighting workflow in order: base weights, nonresponse adjustment, raking and post-stratification, trimming, and the diagnostics that prove the work.

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What Is a Design Effect?

The design effect prices complex samples and weighting in one number. How it is computed, what drives it, and how it converts a nominal sample into an effective one.

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How Many Responses Do You Need?

Sample size for surveys and studies, worked out in the open: margins of error, group comparisons, design effects, and response rates, each with the arithmetic shown.

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Statistical Power, Explained with Worked Numbers

What power is, what moves it, and what an underpowered study costs, with the numbers worked: power curves, detectable effects, and the four levers.

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Effect Sizes: Reporting How Much, Not Just Whether

Cohen d, odds ratios, Cramér V, eta squared, and hazard ratios, each with its interval and a worked figure, plus the bands and their limits.

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Which Statistical Test Should You Use?

A decision guide across the Analysis Studio roster: by outcome type, grouping structure, pairing, and survey design, to the procedure that answers the question honestly.

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Reading A/B Test Results

The difference is the headline, the interval is the story, and the sample ratio mismatch check decides whether either can be trusted. A worked test, read properly.

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Propensity Scores for Nonprobability Samples

How pseudo-weighting an opt-in sample against a reference probability sample works, what it corrects, what it cannot correct, and how to report it.

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Survey Trend Analysis Across Waves

Testing change over time in repeated cross-sectional surveys: per-wave estimates, polynomial trend contrasts on real time values, and two-wave change tests done honestly.

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Cronbach's Alpha: Interpretation and Reporting

Reading alpha honestly: the bands, the item-count effect, alpha if item deleted, why high alpha is not unidimensionality, and a reporting paragraph that holds up.

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Reading a Kaplan-Meier Curve

Censoring marks, the number at risk, median survival, and the log-rank test, taught on one small curve computed step by step.

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Analysis Studio Module Guides

A guided tour of every Analysis Studio module: what it computes, what it needs, and how to read its results.

Browse the Modules

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