SPSS Statistics Jobs

I have a sizeable collection of raw text that I’d like to run through Handshake AI so I can turn the scattered words into solid, data-backed insights. The core of the job is to configure Handshake AI for text data analysis, plug in my dataset, and return an easily digestible report of the findings. Here’s what I need from you: • Connect to or set up the Handshake AI workspace and verify that it can ingest my text files without format issues. • Build the processing pipeline that lets me drop in new documents at any time and instantly rerun the analysis. • Deliver a concise report that highlights the most significant patterns you uncover—frequency distributions, keyword clusters, or any other stand-out metrics Handshake AI surfaces—along with the ...

I have already extracted all modal-verb tokens from two learner corpora—one tagged “Intermediate,” the other “Advanced”—and calculated their normalized frequencies (per 10,000 words). What I still need is a statistically sound comparison of those frequencies. Please run log-likelihood (LL) tests in SPSS to determine whether the differences between the two proficiency levels are significant. If the LL results indicate that additional inferential statistics would clarify the picture—say, a follow-up effect-size measure or confidence interval—you may include them, but keep the focus on the LL output itself. Deliverables • SPSS syntax file and/or detailed steps so I can replicate the procedure • The SPSS output tables and a brief ...

Je cherche un expert en analyse de données pour examiner un ensemble de données financières et en extraire les informations clés que je pourrai ensuite partager facilement avec mon audience. Contexte – Type de projet : Analyse de données – Objectif final : Partager des informations claires et pertinentes issues de mes données financières Ce que j’attends de vous 1. Nettoyer et préparer le jeu de données (format CSV ou Excel). 2. Explorer les variables principales afin de détecter tendances, anomalies et corrélations. 3. Produire un rapport synthétique accompagné de visualisations lisibles (tableaux de bord, graphiques interactifs ou statiques). 4. Formuler des reco...

I need a data-savvy partner who can take my raw dataset and run a thorough descriptive analysis, then translate the numbers into clear stories about the trends and patterns hiding inside. I’m interested in measures such as frequencies, central tendency, dispersion, and time-based or categorical comparisons that highlight shifts over periods, segments, or any other meaningful dimension you discover. Here is what I’d like to see when the work is finished: • A cleaned, well-documented dataset (CSV or XLSX) • A concise report (PDF or Google Doc) that walks me through your methodology, key findings, and visual evidence—think charts, heat maps, or dashboards created in Python (pandas, matplotlib, seaborn), R (tidyverse), Excel, or Tableau, whichever you’re mo...

I’m looking for someone who can turn a raw stack of figures related to the Kerala-based market into clear, usable insights. The material—labels, column headers and many open-ended responses—comes in Malayalam, so the ability to read the language accurately is essential. My own background is in BBA, but I need an experienced hand for the analytics stage. Your core strength should be data analysis; how you get there is up to you, whether that’s Microsoft Excel, SPSS, Python or a mix that suits the size of the job. What I expect from you • A cleaned and well-structured data set • Descriptive statistics with any significant trends highlighted • Simple visualisations (charts or dashboards) that I can drop straight into a report • A brief...

I'm seeking a detailed analysis of WhatsApp messages. The goal is to understand conversation patterns and communication dynamics within a group chat. Key Focus Areas: - Response Time Analysis: How quickly do participants reply? - Interaction Frequency: Who talks to whom, and how often? - Message Length Patterns: Variations in message lengths among participants. - Collaborative Healthy Communication: Identifying positive, constructive exchanges. - Non-Collaborative Unhealthy Communication: Spotting negative or destructive interactions. - Requests for Transparent Communication: Tracking demands for clarity in discussions. Ideal Skills & Experience: - Experience with data analysis tools - Familiarity with sentiment analysis - Ability to visualize data patterns - Strong analytical s...

I have a recently published randomized clinical trial from JACC and I need a seasoned biostatistician to walk me through it right away. My main focus is the results section: I want to understand exactly what the reported effect sizes, confidence intervals, and p-values tell us about clinical relevance. Along the way, please also clarify how the randomization process was handled so I can judge its adequacy and any potential bias. You should be fluent in the common analytical approaches used in cardiovascular trials—time-to-event modelling, mixed models, subgroup analyses—and comfortable translating them into language that a non-statistician can grasp. If you can point out subtle issues such as multiplicity adjustments or assumptions behind each test, that’s a plus. Becau...

I’m advancing a new study in the biological sciences and need a versatile researcher to help move it from concept to clear, publish-ready results. The exact sub-discipline is still being finalized, so I’m open to talent with strengths in genetics, microbiology, ecology or adjacent fields. Here’s what I expect us to tackle together as the project evolves: • Clarify the research question and map the most relevant, up-to-date literature. • Refine or build an experimental or observational design that is practical and statistically sound. • Perform rigorous data handling and analysis in R, Python, SPSS or another platform you’re comfortable with, documenting every step so it is fully reproducible. • Transform the findings into a concise repo...

Analyzed Diwali sales data using Python (Pandas, NumPy), Excel, and Power BI to identify customer purchasing behavior and sales trends. Built an interactive Power BI dashboard to visualize revenue, top-selling products, customer demographics, state-wise sales, and category performance. Generated actionable business insights by identifying high-value customer segments and best-performing product categories, helping optimize marketing and inventory strategies.

I need a well-structured policy analysis that examines current national economic measures, evaluates their effectiveness, and recommends evidence-based improvements. Your work should move beyond a narrative overview and drill into hard data—macroeconomic indicators, recent legislative changes, and credible economic forecasts—to explain how existing policies are shaping growth, employment, and public revenue. Here is what I expect to receive: • An executive summary highlighting key findings and actionable recommendations • A detailed report (≈ 4,000–5,000 words) that covers methodology, data sources, analysis, and policy options • All supporting data sets or links, clearly referenced so I can verify numbers and replicate calculations Please base ...

I’m assembling a full-scale research roadmap for our scientific department and need an experienced researcher to lay it out step by step. The study will cover the synthesis of a magnetic chitosan–biochar nanocomposite and its concurrent use for extracting multiple heavy metals from surface water. What I expect from you is a document that reads like an internal blueprint rather than a journal article. It should include: • A concise literature gap analysis that justifies why this composite and dual-purpose approach matter right now. • Clearly articulated research questions and measurable objectives. • A detailed experimental pathway covering precursor selection, optimal synthesis parameters, and anticipated yields. • Characterization strategy spelled...

I’m looking for a detail-oriented analyst to conduct academic research in the social-science field of political science. The work will focus on gathering and synthesising peer-reviewed literature, recent policy papers, and reputable data sets to answer a clearly defined research question that I will share after kickoff. Key tasks: • Build a comprehensive literature review highlighting prevailing theories, current debates, and gaps. • Locate and catalogue primary data sources (e.g., government databases, think-tank reports, survey archives). • Summarise findings in a well-structured report with citations in APA style. • Provide an annotated bibliography and a concise executive summary that distils implications for future study or policy. I value clear writi...

I’m sitting on a very large, fully structured dataset and need an expert who can turn that raw volume into reliable, actionable insight. The core of the engagement is data analysis—everything from designing an efficient pipeline that ingests, cleans, and joins the tables at scale, to writing performant queries and statistical routines that surface trends I can use in decision-making. The stack is open: Apache Spark, Hadoop, distributed SQL engines, or another platform you’re confident will keep runtimes reasonable and costs under control. What matters most is that the solution handles billions of rows without sacrificing accuracy or maintainability and that every step you take is reproducible. Acceptance for the work will be based on: • A documented workflow (cod...

I have a collection of customer records sitting in a series of Excel/CSV files. I need each file brought into a clean, consistent format, with obvious errors corrected and missing values flagged or imputed where possible. Once the data set is tidy, I want a concise analysis that surfaces the key insights: basic demographics, purchase behaviour trends, and any notable correlations you can uncover. Your workflow will cover: • Accurate data entry (where manual transcription or consolidation is required) • Thorough data cleaning—deduplication, standardised naming, out-of-range checks, and validation against any built-in Excel rules • Exploratory and descriptive analysis, delivered as clear tables, summary statistics, and a brief written interpretation. Charts or s...

I am compiling a concise reference on the start codons that initiate transcription in animals and need a specialist who can gather, verify, and clearly present this information. The scope is confined to the animal kingdom; bacteria, plants, and other taxa are out of scope for this task. Here is what I need from you: • A brief explanation of what qualifies as a transcriptional start codon in animals, backed by up-to-date primary literature. • A definitive list of every recognized start codon, noting any species-specific or lineage-specific variants if they exist. • Supporting evidence for each codon: journal citations, GenBank or Ensembl accession numbers, or other reputable database links. • A short commentary (a few sentences each) on any controversies, rec...

Our raw sales dataset needs a full analytical pass that starts with rigorous data cleansing. The main focus is on standardising every field—dates, currencies, product codes, customer IDs—so the data can be trusted for downstream reporting. Once the formats are consistent, I want a concise exploratory analysis in Python (Pandas, NumPy, Matplotlib or Seaborn) that highlights high-level trends, seasonality, and any obvious outliers. If you spot missing values or duplicate rows along the way, feel free to resolve them; the primary acceptance criterion, however, is clean, consistently formatted data backed by a short insight summary. Deliverables • Python notebook or script that performs the cleaning and analysis • A cleaned CSV (or Parquet) file ready for further ...

I am putting together a Social Sciences research paper with a clear Business orientation and I want it ready for submission to an SSCI-indexed journal. The project goes beyond light editing—I need end-to-end support shaping a full research article. Here is what I have so far: a working topic, some preliminary data and a rough outline. What I still need is your expertise to refine the research question, strengthen the literature review, tighten the methodology, present the results convincingly and format every element so it meets the chosen journal’s author guidelines. Familiarity with tools such as SPSS, Stata or R will come in handy because the study relies on quantitative analysis. Deliverables • A 6–8 k-word manuscript in polished academic English, structured ...

I need a skilled data analyst familiar with MAXQDA and Braun and Clarke's 2006 framework to analyze 11-30 interviews. The primary objective is to identify themes. This project requires urgent completion to accommodate multiple review levels before October 14. Requirements: - Proficiency in MAXQDA - Experience with Braun and Clarke's thematic analysis - Strong qualitative analysis skills - Ability to deliver clear, actionable insights promptly Ideal Skills and Experience: - Background in qualitative research - Prior experience analyzing interviews - Attention to detail and critical thinking - Timely and effective communication Please provide samples of previous work and a brief methodology outline.

I’m preparing a study that explores how leader burnout affects ethical leadership in healthcare organizations, both directly and indirectly through ego depletion. To move forward, I need expert help with the full survey-based research workflow. Scope of work • Turn my conceptual model (Burnout ➔ Ethical Leadership, plus Burnout ➔ Ego Depletion ➔ Ethical Leadership) into a clear, publishable study design. • Develop or refine survey and questionnaire items that capture: – Emotional exhaustion – Depersonalization – Personal accomplishment – Ego depletion – Ethical leadership behaviours • Ensure items are worded for healthcare leaders, who will be the sole respondents. • Set up the instrument in a platform s...