STATISTICAL METHOD
Qualitative Content Analysis
Consulting for Coding Frames and Agreement
We apply qualitative content analysis through a codebook of defined, mutually exclusive categories, a pilot and trained coders, and report intercoder agreement with its limits, keeping every frequency tied to the context in which the code was applied.
No Commitment Required
Strictly Confidential
In-House PhD-Level Statisticians
Fixed Project Fee
Same-Day Response
METHOD OVERVIEW
What Is Content Analysis?
Qualitative content analysis is a systematic method for classifying text, such as transcripts, open-ended responses or documents, into categories and interpreting what those categories show in context. It rests on a coding frame whose categories are defined, mutually exclusive and exhaustive, applied to a clearly specified unit of analysis, and it can address manifest content, what is stated, or latent content, what is implied. Conventional, directed and summative approaches differ in where the categories come from. Counting categories is allowed, but it does not replace interpretation. OnlineSPSS, a specialist statistical consultancy for academic, clinical and professional research, provides this analysis within your study design, with a documented codebook, agreement statistics where used, and reporting.
WHEN TO ENGAGE
When Is Content Analysis Appropriate?
Content analysis fits questions about what a body of text says and in what context, and these are the situations in which researchers most often ask us to build or confirm the coding.
Documents Needing Category Coding Open-ended responses, letters, reports or media items must be classified into categories that describe what is said and in what context, not only how often.
Prior Theory to Test or Extend An existing framework or earlier findings supply the initial categories, and the study asks whether the new material supports, extends or contradicts them.
Several Coders, One Coding Frame More than one person codes the material, so the team needs defined categories, decision rules and a defensible way to report how consistently they were applied.
Reviewing a Completed Analysis A content analysis is done, and its categories or agreement figures were questioned. Independent Statistical Review takes a second look at both.
ANALYTICAL APPROACH
How We Apply Content Analysis
Within the family of Qualitative & Mixed Methods, content analysis is built on a coding frame that is specified before the main coding begins.
Approach and Category Source Conventional categories come from the data, directed ones from theory or prior findings, and summative analysis counts keywords, then interprets context. We match approach to aim.
Categories and Analysis Unit Categories are defined as mutually exclusive and exhaustive, with inclusion rules and examples, and the unit, such as a word, statement or document, is fixed before coding starts.
Codebook, Pilot and Coders The codebook is piloted on a sample, revised and used to train coders. Manifest content is coded directly, and latent content only where decision rules make coding reproducible.
Agreement and Context Cohen's kappa or Krippendorff's alpha is reported with its limits, since prevalence and ambiguous categories affect it. A frequency never replaces the context of its code.
DELIVERABLES
What You Receive
As part of our Qualitative & Mixed Methods Analysis service, the coding comes with the codebook, agreement records and files needed to report and defend it.
Data & Variable Review Source texts are assembled and checked, the sampling of documents and the unit of analysis are documented, and duplicates or truncated records are resolved before coding.
Method-Specific Checks Category definitions are tested in a pilot, overlaps and gaps are revised, coders are trained, and agreement is assessed on the coding frame, with disagreements recorded.
Statistical Results Cohen's kappa or Krippendorff's alpha with confidence intervals, alongside raw agreement, where agreement is used, and category frequencies reported with coded extracts.
Publication-Ready Tables & Figures A category table with definitions and examples, frequency tables and an agreement table, formatted to SRQR and the journal's requirements, ready to insert.
Interpretation Categories and frequencies are interpreted in context and against the research question, with residual categories, latent coding and the limits of generalization stated plainly.
Reproducible Analysis Files The coded NVivo, MAXQDA or ATLAS.ti project, the codebook and R scripts for agreement and frequencies are provided, so every count can be traced and rerun.
ALTERNATIVE METHODS
When Another Method May Be More Appropriate
We choose the method by the research question, not by the coding tool. Content analysis classifies text into categories, and these methods answer other kinds of questions about it.
01
Thematic Analysis
When the aim is interpretive patterns of shared meaning, not a category system applied consistently and counted, thematic analysis fits better than coding to a fixed frame.
02
Discourse Analysis
When the question is how language constructs meaning and social action, not which content is present, discourse analysis reads the text itself instead of classifying it.
03
Mixed Methods Research
When coded categories must be joined to survey or administrative data to answer one question, a mixed methods design plans where the two strands will integrate.
04
Framework Analysis
When coded material has to be compared across cases and themes adapted from a prior framework, a charted matrix keeps each case visible alongside its categories.
CASE EXAMPLE
How We Work in Practice
An illustration of how a coding frame moves from a protocol to categories that can be reported and defended.
ILLUSTRATIVE EXAMPLE · CITY PLANNING PUBLIC COMMENT RESEARCH · UNITED STATES
A city planning department received written public comments on a draft neighborhood plan and needed to classify them against its goals and report how consistently they were coded.
The protocol, set before coding began, specified directed content analysis, with initial categories taken from the plan’s goals, two trained coders and Cohen’s kappa alongside raw agreement. A pilot on a small subset of letters showed that one letter often raised several concerns, so the coding unit became the comment statement instead of the whole letter, and an open category was added for statements the goal-based frame did not fit. The two coders then coded every statement independently. Disagreements were resolved by discussion and recorded, and frequencies were reported with the quoted context, not as counts alone.
Outcome: The department received the codebook with decision rules, category frequencies with coded extracts, Cohen's kappa with its confidence interval beside raw agreement, and the coded project file.
This example does not describe a real client or project. We never share details of actual client work, in line with the confidentiality we promise every researcher. This illustrative example is included to show the type, scope, and standard of work involved in this kind of analysis.
SOFTWARE
Software for Coding and Agreement
Coding is carried out in qualitative software, while R supports agreement coefficients with intervals and frequency tables for the coded data.
RESEARCH DISCIPLINES
Content Analysis Across Research Fields
Conventional content analysis is used wherever text must be classified, and each field brings its own sources, coding frames and reporting conventions.
A Defined Process for Your Analysis
We review your source texts, research question and coding frame before any work begins, so the scope, deliverables, timeline and fixed project fee are clear from the outset.
01
Share Your Research Materials
Send your dataset, research question, study design and any existing analysis plan or output. We will let you know if anything else is needed to assess the project.
02
Receive Your Assessment
Your statistically trained Research Coordinator reviews the project and confirms the required analysis, deliverables, timeline and fixed project price before work begins.
03
Analysis & Delivery
Once you confirm the scope, an in-house statistician completes the agreed analysis and delivers the outputs, interpretation and reporting files.
RESEARCHER VOICE
What Researchers Say
Feedback from a researcher who needed categories defined clearly enough to code consistently, and results the team could explain.
“I wanted a second set of statistical eyes on our Content Analysis, mainly because of how to define categories clearly enough to code the material consistently. The review was practical and specific, and the final results were much easier to explain to the rest of the research team. We also received a reproducible analysis file, which made later revisions much easier.”
RESEARCH RESPONSIBILITY
Statistical Support Without Taking Over Your Research
We provide the methodological support for your content analysis, while the categories, their meaning and the authorship stay entirely with you.
Agreed Statistical Support We provide the agreed methodological, analytical and reporting support for your content analysis, within the scope confirmed before work begins.
No Intellectual Contribution OnlineSPSS claims no intellectual contribution to your research. Our work is methodological support, and authorship remains yours.
Your Research Decisions The research question, the category system, the interpretation and the conclusions remain with you, and our interpretation stays within what the coded evidence and the design support.
Confidential Handling Source texts and project details are handled confidentially and are not published. An NDA is available where required and can be arranged before sensitive materials are shared.
FREQUENTLY ASKED QUESTIONS
Questions About Content Analysis
Short answers to what researchers ask before a content analysis, from category design and agreement to confidentiality and the assessment process.
Is content analysis qualitative or quantitative?
It is a qualitative method that may use counting. The qualitative form interprets meaning in context through a defined coding frame, and frequencies can describe the coded data. Counting alone, without the context in which each code was applied, becomes superficial frequency reporting, so we state which orientation your study takes and what the counts can and cannot show.
Content analysis or thematic analysis for my data?
Content analysis fits when categories can be defined in advance, or built into a stable frame, then applied consistently and sometimes counted. Thematic analysis fits when the aim is interpretive patterns of meaning, especially in its reflexive form, with no fixed frame. The outputs can look alike, but the aims differ, so the choice follows the research question and not the software.
How should intercoder agreement be reported and judged?
Report the coefficient, Cohen’s kappa for two coders or Krippendorff’s alpha for several coders or missing codes, with its confidence interval, the number of units and the coding design, and not raw percent agreement alone, which includes agreement by chance. Both coefficients depend on category prevalence, so a low value with one dominant category is read with the table of counts. No universal cutoff replaces judgment about the purpose of the coding.
Can you review an analysis that has already been completed?
Yes, we can review a completed content analysis before submission or after reviewer comments. We read the category definitions and decision rules, the coding unit, how agreement was calculated and reported, and whether frequencies stay tied to context, then set out which parts stand and which need further work.
How do you protect my dataset and research confidentiality?
Source texts, transcripts, codebooks and coded project files are handled confidentially, and project information is not published. An NDA is available where required and can be arranged before sensitive materials are shared. Read more about confidentiality and data security.
What happens when I request an assessment, and how long does it take?
You share your research question, design and relevant materials, and a statistically trained Research Coordinator reviews the request and responds the same day. The analysis, deliverables, timeline and one fixed project fee are then confirmed before any work begins, so the timeline follows from the agreed scope.
Still have a question? Find more answers in our full FAQ.
NEXT STEP
Need Support With a
Content Analysis Project?
Share your research question, source texts and any draft categories. We assess whether content analysis fits and confirm the scope before any work begins.
No Commitment Required
Strictly Confidential
Fixed Project Fee
In-House PhD-Level Statisticians
Same-Day Response
Serving Researchers Since 2014