Data analysis & academic write-up

This service is for a seminar paper, thesis, dissertation or other study with collected data that need analysis and a clear account of the findings. We begin with the research question and the structure of the data, then define the analyses and deliverables in the quote.

Send the data file, a description of its columns and codes, your questionnaire or measurement protocol, research questions, and any reporting instructions. Tell us whether the same participant appears more than once, whether groups were assigned or observed, and which values mean “missing.” Keep the original file and remove unnecessary identifiers before sharing. The test-selection guide explains why these details affect the choice of analysis.

The approved scope can include data preparation and coding, descriptive statistics, Cronbach's alpha reliability checks, exploratory factor analysis when appropriate, assumption checks, hypothesis tests and additional analyses selected in the quote. A comparison, correlation or regression is chosen only after the design, outcome and data limitations are understood. The written findings connect each result to the question it answers, with its uncertainty and relevant limitations. An association alone does not establish causation; a non-significant result is still a result to report honestly.

The delivery package is organized around the approved analyses. It includes a findings chapter, a draft completing the relevant statistical methods, guidance for discussing the findings, records of assumptions and analytical decisions, a quality-check report, and a guide for preparing to discuss the results with an advisor. These documents explain both the result and how it was reached.

The package can also include software output files. Cleaned data and a codebook are delivered when data preparation is selected in the quote. Editable graph workbooks are supplied when the results call for suitable figures. The quote and delivery manifest show what applies to your study; discussion guidance is not a complete discussion chapter or literature review.

The quote itemizes selected work components and the analysis for each hypothesis. Prices are shown in US dollars. Review the exact scope and total on the pricing page and in your quote before paying. Delivery timing is shown for the approved work; a requested deadline is not automatically accepted. After delivery, a correction request is evaluated against the approved scope. New questions or analyses receive a separate quote.

Basic study: 180 participants, two multi-item measures, Cronbach's alpha reliability checks, descriptive statistics and one Pearson correlation hypothesis. Read the study brief alongside the findings chapter to follow the question through to its result.

Advanced study: 360 participants and 15 items forming three measures; exploratory factor analysis and reliability checks, descriptive statistics, and three hypotheses tested with a correlation, multiple regression and a group comparison. A separately specified supplementary regression adds background variables. The advanced brief and complete package show the wider scope and interpretation limits. Factor analysis belongs to the measurement work, not a fourth research hypothesis.

The editable methods supplement describes the analysis actually performed. The discussion guidance identifies interpretation points and limitations to connect with your own research literature.

Will the analysis run in IBM SPSS?

The service can provide SPSS-compatible files where included in the quote. File compatibility does not mean IBM SPSS was used to run every analysis.

Do you guarantee a significant finding?

No. Results depend on the design and data. We do not change data to produce a preferred answer or guarantee a grade or publication.

Explore the deliverables · Explore complete research examples

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