Emily Hallas

Emily Hallas is an SPSS data analysis specialist who supports students and researchers with statistical analysis for assignments, dissertations, and academic research projects. She focuses on producing accurate analyses and clear explanations that students can confidently include in their research work. Emily works extensively with SPSS to perform a wide...

Emily Hallas is an SPSS data analysis specialist who supports students and researchers with statistical analysis for assignments, dissertations, and academic research projects. She focuses on producing accurate analyses and clear explanations that students can confidently include in their research work.

Emily works extensively with SPSS to perform a wide range of statistical procedures, including descriptive analysis, correlation, regression models, hypothesis testing, ANOVA, and multivariate analysis. She carefully reviews datasets before running any analysis to ensure variables are coded correctly, assumptions are met, and the selected statistical methods align with the research objectives.

She also specializes in structural equation modeling (SEM) using SPSS-AMOS. Emily supports projects that require exploratory and confirmatory factor analysis, path analysis, mediation and moderation analysis, and full structural equation models for dissertation research.

Before performing SEM analysis, she reviews measurement scales, evaluates reliability, and checks model assumptions to ensure the analysis produces valid and defensible results. She also prepares well-organized statistical output and clear explanations of the model results so that students can present their findings accurately.

Emily focuses on accuracy, consistency, and strong statistical reporting. Her work helps ensure that every analysis remains aligned with the research questions and meets academic research standards.

Software Specialization: SPSS, SPSS-AMOS