This assignment provides a comprehensive overview of quantitative research methods for social scientists. It begins by identifying and explaining the four levels of measurement: nominal, ordinal, interval, and ratio scales, detailing their characteristics and applications. The assignment then discusses measures of central tendency (mean, median, mode) and dispersion (range, variance, standard deviation), highlighting their importance in data analysis. Furthermore, it differentiates between descriptive and inferential statistics, outlining their respective roles in summarizing data and drawing conclusions about populations. Key statistical terms such as hypothesis, null hypothesis, independent and dependent variables, and extraneous variables are explained. Finally, the assignment includes an interpretation of statistical outputs generated by SPSS, focusing on frequency distributions, cross-tabulation, Chi-square results, and Phi/Cramer's V, providing insights into data relationships and statistical significance. Desklib offers a wealth of similar solved assignments and study resources for students.