Estadísticas SPSS Jobs

Busco apoyo para desarrollar una investigación académica dentro del área de Ciencias Sociales, concretamente en Psicología. Necesito que me ayudes a profundizar en el tema, reuniendo fuentes académicas actuales, evaluando metodologías apropiadas y preparando un informe riguroso que pueda servir como base para un artículo o tesis. Lo que espero recibir: • Revisión bibliográfica exhaustiva y correctamente citada. • Propuesta metodológica clara, justificada y viable. • Síntesis de hallazgos clave con análisis crítico. • Informe final estructurado (introducción, marco teórico, metodología, resultados esperados y conclusiones). Valoraré experiencia p...

I have a collection of raw Excel/CSV files and I need a concise descriptive analysis that highlights how different categories stack up against one another. Your task is to explore the data, surface the key comparisons, and translate those findings into a clear, visually engaging PowerPoint deck. Here’s how I see the workflow: first, clean and structure the spreadsheets, then run the descriptive analysis focused strictly on category-to-category comparisons—no forecasting or optimisation, just solid snapshots of where each group stands. From there, transform the insights into charts and succinct takeaway points that I can present to non-technical stakeholders. Deliverables • A neatly organised working file (Excel, CSV, or a Jupyter notebook) showing the steps you took ...

I will share a clean survey dataset and need it explored in SPSS so that all three of my research objectives are answered convincingly. The work centres on descriptive statistics, and I specifically want the “Corelational” angle I noted to be addressed alongside the usual measures.­­ You will run the analyses in SPSS, generate clear, publication-ready graphs, and produce a concise narrative explaining what each result means for my objectives. Please organise the output so I can trace every figure back to its syntax or output file. Deliverables: • SPSS .sav file with all computed variables and syntax • Graphs (PNG / JPEG, high-resolution) tied to each objective • A short written report (tables embedded) interpreting the descriptive and correlatio...

I manage a financial literacy initiative that now reaches more than 500,000 elementary, middle-school, and secondary students. As we scale, I need rigorous monitoring and evaluation that tells us exactly how our lessons improve students’ financial skill development in each age group. The assignment begins with a clear theory of change, then moves into instrument design—primarily large-scale surveys complemented by targeted student and teacher focus groups. From there we will agree on sampling strategy, fieldwork calendar, analysis approach, and the final deliverables I can share with funders and the Ministry of Education. Deliverables • Age-appropriate survey questionnaires and focus-group guides • Data-collection protocol detailing sample sizes and timelines ...

I’m refining my overall marketing strategy and the piece I need most right now is a deep, data-driven look at my customers. I want you to design and execute customer analysis that reveals who they are, why they buy, and how we can reach more people like them. Scope of work • Develop a research plan outlining methods (surveys, interviews, purchase-data mining, social listening, etc.) and timelines. • Collect and analyze both qualitative and quantitative data. Feel free to use tools such as Google Analytics, Tableau, SPSS, or similar platforms you’re comfortable with. • Segment customers into clear personas, highlighting demographics, motivations, pain points, and buying triggers. • Translate findings into actionable recommendations I can plug directl...

I have a historical sales data set that needs a thorough, professional analysis. Your job is to import, clean, and explore this sales data, extract the key metrics that matter, and present findings I can act on immediately. Here’s what I have in mind: • Clean and structure the raw sales records so outliers, missing values, and inconsistencies are handled correctly. • Run exploratory and statistical analysis to surface patterns in revenue, volume, seasonality, and product performance. • Build clear visualisations—charts, tables, dashboards—so I can grasp results at a glance. • Summarise insights in a concise narrative report, highlighting opportunities and any red-flag issues you detect. I am open to whichever tool chain you work fastest with&md...

I need a concise, data-driven market study built around the North American Industry Classification System. The focus is on locating, cleaning, and preparing publicly available datasets (e.g., U.S. Census, BLS, SBA) that match the target NAICS codes, then running the statistical analyses that turn those raw figures into clear-cut insights on market size, growth rates, and competitive concentration. You will source only public databases—no internal company records or paid panels—so solid familiarity with government portals and open-data APIs is essential. Once the data are collected, I expect you to handle the full cleaning workflow (deduping, missing-value handling, correct NAICS code alignment) before moving on to the analytical phase. Basic descriptive stats are fine for an...

I’m looking to have a set of CSV/Excel files transformed into a clear, insight-rich descriptive analysis. Before we get to the numbers, the data needs a quick cleanup: • Removing duplicates • Handling missing values • Correcting data types Once the tables are tidy, I’d like summary statistics, meaningful visualisations, and plain-language commentary that highlights the key takeaways hidden in the rows. A concise slide deck or notebook showcasing your methodology would be perfect, along with the cleaned dataset itself so I can reuse it later. Python (Pandas, Matplotlib, Seaborn), R, or even Power BI/Excel power tools are all fine—as long as the code or steps are transparent and reproducible. Deliverables • Cleaned CSV/XLSX files • Scr...

I want a concise, data-driven study that explains today’s global Information Technology market trends and where they are heading next. The report should capture emerging technologies, spending patterns, regional growth pockets, and the macro forces reshaping demand. Please anchor every insight in up-to-date, verifiable data from respected sources such as Gartner, IDC, Statista, financial filings, or peer-reviewed journals, and include clear citations so I can trace each figure back to its origin. Deliverables • Executive summary (1–2 pages) highlighting the most actionable findings • Full report in PDF with supporting charts, tables, and commentary • Raw datasets in Excel or Google Sheets for my own modelling • A short slide deck (10–12 slid...

I am preparing a series of research papers on renewable-energy integration within India’s power markets and intend to submit them to ABDC or Scopus indexed journals. I will supply the core technical insights and an Excel dataset that captures market variables, generation mixes, policy changes and relevant time-series indicators. Your role is to transform these inputs into publishable manuscripts. The scope covers three main tasks: 1. Literature review & gap analysis • Compile and synthesise current Indian and global work on renewable integration, electricity-market design and associated policy. • Identify clear research gaps that our data and modelling can address, citing high-impact sources. 2. Predictive modelling & results • Clean and...

# Paid Project: Life-Science Experts Needed to Record Real Data Analysis Workflows (R, SAS, SPSS, GraphPad Prism, ImageJ) We're looking for experienced life-science researchers, biostatisticians, bioinformaticians, clinical researchers, epidemiologists, and data analysts to participate in a paid AI training project. The project involves recording your screen while completing a real data analysis workflow that you would naturally perform in your field. You'll briefly narrate your thought process as you work. These recordings will be used to train AI models to better understand scientific software and research workflows. ## What You'll Do Using your preferred software (R/RStudio, SAS, SPSS, GraphPad Prism, or ImageJ/Fiji), record yourself completing an end-to-end analysis....