Comparison with existing research and explanation for similarities and dissimilarities

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Importantly, literature review, the theoretical framework, and discussion require references. Prosy details of the following are necessary. Textual descriptions and interpretations are required to elaborate statistical results.Title: Positive effect of worry on perceived risk to societyIntroduction• Research question/objectiveo Examining the positive effect of worry on perceived risk to society• Research hypotheseso Political involvement has a positive effect on perceived risk to societyo Political involvement has a positive effect on worryLiterature review (review of existing research)• Effects of political involvement on perceived risk to societyo Positive effect (Sources A, B, C)o Negative effect (Sources D, E, F)o No effect (Sources G, H)o Therefore, uncertain effect• Political involvement has a positive effect on worryo Positive effect (Sources I, J, K)o Negative effect (Sources L, M, N)o No effect (Sources O, P)o Therefore, uncertain effectTheoretical framework• Positive effect of political involvement on perceived risk to societyo Psychoanalytic theory (Sources Q, R)o Appraisal theory (Sources S, T)• Political involvement has a positive effect on worryo Social construction theory (Sources U, V)Method• Sample description: means/percentages, standard deviations, skewnesses, kurtoseso Age, gender, major field, level of study, year of study, parental education…• Variables usedo Political involvement, worry, perceived risk to society…o Transformations: standardization, ranking, dichotomization/trichotomization, clustering• Analytic approach: reliability test, factor analysis, clustering, linear regression analysis, path analysis, log-linear analysis, logistic regression analysiso Variables involved: outcomes, predictors, controls, moderatorsResults• Univariate statistics: checking normalityo Age, gender, major field, level of study, year of study, parental education…• Reliability and ways to improve reliability• Factor analysis for validation: factorial validity (convergent and discriminant validity)o Scree plotting• Clustering for dichotomization and/or trichotomizaiton of variables• Linear regression analysis and its diagnostics for testing hypotheses: no problem of non-normality, multicollinearity, heteroscedasticity, deviant cases…o Findings about hypotheses and various effectso Residual plotting• Additional linear regression analysis for comparing effects and exploring moderating effectso Comparing effects and testing their differentials? Effect of political involvement more positive than the effect of ageo Testing moderating effects? More positive effect of political involvement with higher age• Linear regression analysis with two-stage least squares estimation to examine reciprocal effects• Log-linear analysis for testing hypotheses with dichotomized/trichotomized variables: hierarchical log-linear analysis and general log-linear analysiso Topological analysis• Logistic regression analysis for testing hypotheses with dichotomized outcomeso Marginal effect estimationDiscussion• Comparison with existing research and explanation for similarities and dissimilarities• Knowledge gained: consolidation and/or modification/improvement of existing theoriesReferences