SPSS Statistics Jobs

I’m building a finite-element model in Abaqus to replicate a push-out test where steel beams are connected to CLT slabs. The sole objective is to capture and understand the deformation behaviours that develop throughout the load history, rather than ultimate strength or specific failure modes. Here’s what I need from you: • An accurately meshed, non-linear Abaqus model that represents the steel beam-to-CLT connection used in push-out testing (material orthotropy for CLT, contact definitions, appropriate boundary conditions, and loading protocol). • Post-processing that isolates global and local deformations and presents them as clear, publication-ready graphs and charts (force–slip curves, displacement contours, etc.). • All input files, output da...

I'm looking for an expert in SPSS to perform descriptive statistics on a mixed dataset (both categorical and numerical). The data is sourced from existing secondary datasets. Ideal Skills and Experience: - Proficiency in SPSS - Strong background in statistics, particularly descriptive statistics - Experience working with both categorical and numerical data - Familiarity with handling and analyzing secondary data If you have a keen eye for detail and can deliver accurate and insightful statistical summaries, I'd love to hear from you. Please provide examples of similar work done in your bids.

I need assistance with multiple regression analysis using JASP. The data is from a survey and involves an ordinal dependent variable with 3-5 independent variables. Requirements: - Proficiency in JASP - Experience with multiple regression analysis - Ability to interpret and present results clearly Ideal Skills: - Statistical analysis expertise - Familiarity with survey data - Strong analytical skills Please provide a sample of similar work done.

I need to compile a clear, reliable picture of how female freelancers are distributed, what skills they market, typical earnings ranges, and any notable growth patterns across major regions. The job starts with data extraction: pull publicly available information from leading freelancer platforms, professional networking sites, and other open repositories. After cleaning and de-duplicating the records, the next step is to analyse the dataset—producing descriptive statistics, trend plots, and concise written commentary that highlights regional hot-spots, in-demand skill sets, and any gaps or opportunity areas. Please deliver: • A CSV or Excel file containing the raw and cleaned datasets, accompanied by a short data-dictionary. • An analytic report (PDF or slide deck) that...

I’m racing against a submission deadline and need a skilled academic writer to guide me through the entire process of my master’s thesis in Business and Economics. This is a personal academic project, so every page must be original, well-researched, and formatted to university standards. Here’s what I’m aiming for: • Plagiarism-free with proper citation and references (APA 6th edition) Timeline is tight, so I’ll expect an outline within days, steady chapter deliveries on agreed milestones, and responsive revisions until the final manuscript is ready for submission. If you have proven experience with Business and Economics theses, statistical tools like SPSS/Stata/R, and can keep calm under pressure, I’d love to work with you.

I am getting ready to draft a quantitative paper for a Scopus-indexed journal and need one-on-one coaching in SPSS. I am a complete beginner, so please assume no prior syntax knowledge. The first milestone must center on Exploratory Factor Analysis (EFA): importing data, screening it, choosing extraction and rotation methods, interpreting the output, and writing the results section in publication style. Once EFA is clear, we will move on to Confirmatory Factor Analysis (ideally through SPSS AMOS or an equivalent plug-in) and finally to full Structural Equation Modeling. I learn best through live screen-sharing sessions backed by annotated SPSS syntax and concise, step-by-step notes that I can reuse when writing the methods and results sections. By the end of our work I should be able to...

I will supply a complete survey dataset and need it transformed into a publish-ready scientific paper. Your task starts with cleaning and screening the data in SPSS, then running the analyses that best reveal overall trends and patterns. Descriptive statistics, reliability checks, charts, and any other exploratory procedures you judge valuable should all feed into a clear narrative of the findings. Interpret the results in straightforward language, link them back to the study purpose, and craft the full manuscript sections—Abstract, Introduction, Method, Results, Discussion, and References—formatted to the standards of a peer-reviewed journal in my field. Throughout the job, please keep every SPSS step reproducible by sharing the .sav file, syntax file, and output viewer fil...

I’m expanding our engineering team at LaRevela, the Web3 identity and visitor-intelligence platform for eCommerce, and I need a skilled technical recruiter who is already on the ground in China. Your mission is to identify and secure a mid-level Full-Stack Blockchain Developer who excels at full-stack development and seamless Web3 integration. What the ideal hire must bring: solid, hands-on JavaScript, Python, and Solidity experience, plus a track record of shipping blockchain-enabled products that actually reach users. You’ll handle the entire funnel—sourcing across local and remote talent pools, screening for technical depth, coordinating interviews, and guiding compensation conversations in line with our global structure. Deliverables I expect from you: • A ve...

**Project Brief: Survey Data Analysis Using MAXQDA** I am looking for an experienced researcher/data analyst to support a large-scale survey analysis project. **Scope of Work:** * Total of **50 survey datasets** * Each dataset contains responses from **100 participants** * Analysis must be conducted using **MAXQDA** * For each dataset, you will: * Perform qualitative/quantitative analysis * Identify key insights, themes, and patterns * Deliver a **3–4 page summary report** highlighting key findings **Deliverables per Dataset:** * MAXQDA project file (if applicable) * A structured **3–4 page report** including: * Key insights * Patterns/trends * Relevant interpretations **Compensation:** * **$250 per dataset analysis** * Payment will be structured into **2 m...

I will give you direct access to our secured Government health databases so you can extract the figures we monitor daily on infectious-disease cases, laboratory confirmations, and sentinel surveillance sites across Nepal. Your task is to turn this raw information into clear, evidence-based insights that guide our infectious-disease control policies. I need clean, reproducible code (Python, R or Stata are all acceptable), an annotated dataset ready for archiving, and a concise report that highlights trends, hotspots, and any statistically significant anomalies. Please visualise the main findings in intuitive charts or dashboards so they can be shared quickly with provincial teams and senior officials. Deliverables • A documented data-cleaning and analysis script • The pr...

Responsibilities • Collaborate closely with Product, R&D, and Operations teams to define research priorities and key questions. • Design and execute qualitative & quantitative research (surveys, in-depth interviews, focus groups, etc.) based on product and R&D needs. • Apply psychological models (e.g., Kano, PSM) to analyze user needs and behavioral motivations. • Work with Data teams to integrate vehicle data with qualitative insights, supporting data-driven product decisions. • Independently design online/telephone surveys, experiment protocols, and user testing frameworks. • Conduct user interviews and focus group discussions (FGDs) to uncover deep insights. • Perform data modeling and analysis using statistical tools (SPSS, Python/R). &bul...

I’m looking for a seasoned academic writer to take my doctoral research from scattered notes and daStudents are to select one of the following areas in organization theory for their final paper. Theory Final Paper Should Depict the Following ideas/propositions discussed in the literature in the last ten years. evaluation of the: a) evidence (if any) offered to support them, b) adequacy and usefulness of the ideas/propositions. these ideas/propositions relate to other areas of organization theory. , outline, and annotated bibliography (minimum of 10 sources) due February 4, 2026. Final Paper Grading Criteria , content, adequacy of research, logical, grammatical clarity of exposition and form, appropriateness of abstracts to topic turned in with specification, quality of presenta...

research paper on economic diversification in the UAE, focusing on the role of non-oil sector growth in GDP performance (2000–2023). Key Requirements: • Clear introduction presenting the economic context and research question • Well-structured literature review relevant to economic diversification and growth • Identification of the research gap and positioning of the study • Development of clear and logical hypotheses • Presentation of an econometric model (e.g. GDP Growth = f(Non-oil GDP Growth, Oil Price, Investment)) • Clear definition and justification of all variables • Collection and presentation of data (2000–2023) • Descriptive data analysis (tables, statistics, graphs) • Regression analysis (OLS or appropriate meth...

Hi, I am a PhD student currently completing my dissertation research, and I would be genuinely grateful for your participation. Key Details: The whole session takes about ~25 minutes. You'll receive a fixed payment of $10 on completion, with a chance to get an additional performance-based bonus from the task. ALL participants who finish the survey and pass the quality checks will be awarded the contest - payment is issued as a contest award directly through Freelancer. I can only pay $10 per survey. As an extra thank-you, you can opt into a lottery for Al-related gift cards or cash. Survey link: After completing the survey, you will see a survey code. Please paste that code here, and that will count as your entry. We are looking to hire a large number of participants, so many s...

Hi, I am a PhD student currently completing my dissertation research, and I would be genuinely grateful for your participation. Key Details: The whole session takes about ~25 minutes. You'll receive a fixed payment of $10 on completion, with a chance to get an additional performance-based bonus from the task. ALL participants who finish the survey and pass the quality checks will be awarded the contest - payment is issued as a contest award directly through Freelancer. I can only pay $10 per survey. As an extra thank-you, you can opt into a lottery for Al-related gift cards or cash. Survey link: After completing the survey, you will see a survey code. Please paste that code here, and that will count as your entry. We are looking to hire a large number of participants, so many s...

I need a skilled data professional to turn my historical sales records into reliable projections for the months ahead. The raw files are already exported from our POS and e-commerce platforms; they cover daily transactions, product categories, promotions, and regional outlets. Your first task will be to explore and clean this sales data, handle any missing values or outliers, and engineer features that capture seasonality, campaigns, and other business drivers. My primary goal is an accurate sales forecast and projection roadmap. I am particularly interested in machine-learning approaches—think gradient-boosted trees, LSTM, Prophet, or any other model you feel best suits the data’s structure. Classical time-series or regression techniques are fine as benchmarks, but the core d...

I am working with a sizeable set of enterprise-level operational data and need a clear, defensible forecast of upcoming trends. Everything will be handled in Excel—no BI suites or code this time—so the entire workflow, from cleaning through modelling to final visualisation, must live inside a well-structured workbook. The primary scope centres on our operational metrics, yet the approach should remain flexible enough that I can later slot in sales or customer figures without re-engineering the model. Accuracy and transparency are critical: every assumption, formula, and transformation step must be traceable so managers can audit the logic. Key deliverables • A master Excel workbook containing raw data staging, cleaned tables, forecasting model, and dynamic charts &bu...