RESEARCH SUPPORT
SPSS data analysis support
that starts with your data file
SPSS data file review, an analysis plan that ties each research question to a procedure, and reported output with effect estimates and confidence intervals, so that every table traces back to the file and the run it came from.
No Commitment Required
Strictly Confidential
In-House PhD-Level Statisticians
Fixed Project Fee
Same-Day Response
Why Does SPSS Support Begin With the Data File?
SPSS data analysis support starts with the data file, because the unit of analysis, the identifiers, the variable and value labels, the missing-value codes and any duplicates decide which procedures are valid. It is research-analysis support, not licensing, installation or technical support for the program. An analysis plan then links each research question to an outcome, a procedure and the output to be reported, ideally before any result is seen, so that prespecified and exploratory analyses stay distinguishable. Because the work is done online, it proceeds from the files you send. Academic, clinical and professional researchers bring it to OnlineSPSS, a specialist statistical consultancy, where in-house PhD-level statisticians handle each stage, and reading the findings against the literature of your field is the researcher’s part.
WHEN TO ENGAGE
Starting Points for an SPSS Data Project
Support is seldom needed for a single test; it is needed for the path from file to table, and where the project stands decides where that path begins.
File Collected, Plan Missing Questionnaires or records have been entered into SPSS, but no one has set out which outcome each research question uses, which procedure fits it or what the final tables will show.
Inherited or Merged Files The dataset was assembled from several waves, sites or coauthors' files, and the unit of analysis, the identifiers and the repeated variable names must be checked before any model is fitted.
One File, Several Reports One dataset will feed a thesis chapter and an article, or two articles, and the analyses must be divided so that each report names its own outcomes and none repeats another's tests.
Supervisor or Reviewer Queries A supervisor or journal reviewer has asked why a procedure was chosen or how a number was obtained, and the answer has to be rebuilt from the file, the plan and the saved output.
FILE, PLAN, OUTPUT
From File Review to the Reported Table
A project moves through a sequence of stages, and the decision made at each one is documented so that a later reader can see how the file became the table.
Data File Review
SPSS data file review checks the structure of the file, one row per case or per observation, and the type and missing data of each variable, while an SPSS variable and value label check compares the coding with the questionnaire.
Plan for Each Question
An SPSS analysis plan names, for each research question, the outcome, the predictors, the procedure and the tables to be reported, and marks which analyses are prespecified and which exploratory.
Procedures and Models
The agreed procedures are run on the reviewed file as part of Quantitative Data Analysis, each chosen from the design and not from the first option a menu offers.
Output Selection
The whole output viewer is read, the tables that answer a research question are kept, and abandoned or exploratory runs are labeled as such, so the report matches what was actually done.
Estimates for Reporting
Results are reported as effect estimates with confidence intervals and the number of cases analyzed, in the format agreed under Results Reporting & Interpretation.
Second Look at Finished Work
A project already analyzed in SPSS can be re-examined against its design through Independent Statistical Review, with a note on what stands and what should change.
WEAK POINTS IN A PROJECT
What Undermines an SPSS Analysis Before It Starts
These weaknesses belong to the project as a whole instead of to any single test, and they are far easier to correct before results exist than after.
Rows That Are Not Cases A file mixes one row per participant with one row per visit, so counts and tests treat repeated measurements from one person as if they came from independent people.
Duplicate Identifiers A participant entered twice, or two records merged on a mistyped identifier, doubles one person's weight in every estimate and rarely shows in summary tables, which is why SPSS duplicate and out-of-range checks come first.
Menu Runs With No Record Analyses are run from the menus without saved syntax, so months later no one can say which cases were selected, which filter was active or which version of a variable was used.
Everything Tested, Little Planned Many outcomes and subgroups are tried and the significant ones reported without saying how many were run, which inflates false positives unless the tests are adjusted or labeled exploratory.
Procedure Matched to the Menu A procedure is chosen because it sits under a familiar menu heading, and the design, such as paired or clustered data, is never compared with what that procedure assumes.
Samples That Shift Between Tables Correlations in SPSS exclude missing values pairwise by default and Linear Regression excludes them listwise, so tables in one report can rest on different samples that the text never reconciles.
DELIVERABLES
The Documents an SPSS Project Produces
The set follows the agreed scope and is arranged so that a coauthor could pick up the project at any stage and find what was done.
File Review Memo A short note on the structure of the dataset, the problems found and how each was resolved, with the number of cases before and after any exclusion.
Question-to-Procedure Plan A table pairing each research question with its outcome, procedure and output, marked as prespecified or exploratory, for you to check and incorporate in a protocol or methods section.
Syntax Log of Every Run A syntax file holding the procedures that produced each reported result, in order, so that the project can be rerun against the same data file.
Annotated Output File The saved output with the tables used in the report flagged, so that each figure in a paper traces to one table and one run.
Tables Ready for Submission Tables with estimates, confidence intervals and case counts, laid out in the style that your target journal or department requires.
Limits and Reading Notes A brief note on what each result supports and what it cannot, including the design features that restrict how far it can be generalized.
ILLUSTRATIVE EXAMPLE
Three Hospital Units in One SPSS File
An illustration of how a review of the file shaped the analysis plan for a small multi-site study.
ILLUSTRATIVE EXAMPLE · NURSE STAFFING AND PATIENT EXPERIENCE RESEARCH · UNITED STATES
A health services researcher brought SPSS files from three hospital units and wanted to know whether nurse staffing levels were associated with patient-reported experience scores.
The file review found that one unit had coded the five-point experience scale in reverse, that some patient identifiers appeared in two units’ files, and that staffing was recorded by unit and month. The reversed scale was recoded against the questionnaire, the duplicated records were resolved, and the plan was set before any association was inspected. The complication was structural: with only three units, most of the variation in staffing lay between units, so differences in staffing could not be separated from other differences between the units. The plan said so, the analysis reported unit-level estimates with that limit stated, and the findings were worded as associations.
Outcome: The researcher received the file review memo, the question-to-procedure plan, the syntax log, the tables with 95% confidence intervals and a note on the limits of a three-unit comparison.
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
SPSS in a Project With Other Tools
Most files arrive in SPSS format, and a project sometimes needs a second tool for a particular model or for a collaborator's workflow.
HOW WE ASSESS YOUR PROJECT
We Review Your Actual Research
Your assessment is based on a review of your actual research materials and analytical requirements, not a generic project category.
You Submit Your Project Details
Share whatever is available at the current stage, such as the research aim, protocol or proposal, dataset, variable list, manuscript or statistical requirements.
We Review Your Research and Define the Scope
Your statistically trained Research Coordinator reviews the materials to understand the study design, research questions, data structure, analytical requirements and expected deliverables. If clarification is needed, additional documents or information can be requested before the assessment is finalized.
Your Analysis Is Completed and Delivered
Once the scope and fixed project fee are agreed, the in-house statistician completes the work and the Research Coordinator remains the communication point through delivery, with the analysis, deliverables and timeline as agreed.
RESEARCH RESPONSIBILITY
Statistical Work Inside a Project You Own
What the findings mean for the field, and the decisions that follow from them, belong to the researcher or the research team.
Agreed Statistical Support OnlineSPSS provides the agreed methodological, analytical and statistical reporting support, defined in a scope that is confirmed before any work begins.
No Intellectual Contribution OnlineSPSS does not claim any intellectual contribution to your study, report or article. Authorship remains the researcher's.
Your Research Decisions The research question, the substantive interpretation of the results, the conclusions and overall responsibility for the study remain with you.
Confidential Handling Research data and project details are handled confidentially, project information is not published, and an NDA is available where required.
FREQUENTLY ASKED QUESTIONS
Files, Plans and Traceable Output
The condition of the file, the commitment an analysis plan makes and the way output is traced to the report are the practical concerns behind most first messages.
What does an SPSS data file review include?
An SPSS data file review at OnlineSPSS checks what the file contains before any procedure is run: whether each row is a case, the variable and value labels against the questionnaire, missing-value codes, duplicates and out-of-range values. It ends in a short memo and a question-to-procedure plan, applies equally to a dataset just collected and to one inherited, and is the base for SPSS data analysis help at any later stage.
Do I need to clean the file before sending it?
No. Cleaning belongs to the SPSS data file review, and the original coding is what the review checks against, so changes made in advance can hide the very problems that matter. Send the file as it stands, with the questionnaire or codebook if one exists, and the review records every correction with its reason.
Does an analysis plan have to be fixed before the data are seen?
Prespecifying the plan protects the credibility of the results, because it separates tests chosen in advance from those suggested by the data. A plan can still change when the data show a real problem, such as an unexpected structure in the file, provided the change is recorded and the affected analyses are labeled exploratory.
What does the annotated output file add to the syntax?
The syntax shows what was run, and the annotated output shows what came back. Each table used in the report is flagged and matched to the passage that cites it, while discarded runs stay visible but marked, so a supervisor or reviewer can trace any figure in the text to one run on one version of the file.
How do you protect my research data and confidentiality?
Your data and project details are handled confidentially, and project information is not published. Researcher names and institutions are not used publicly without permission. 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, such as the dataset, a variable list and any output or plan you already have, 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
Every Table Traced
to Its File
Each reported estimate rests on the file behind it and the plan that chose it, which is why the file review and the analysis plan come before the first procedure.
No Commitment Required
Strictly Confidential
Fixed Project Fee
In-House PhD-Level Statisticians
Same-Day Response
Serving Researchers Since 2014