Statistics project involving different kinds of analysis and the use of SPSS. Interpretation of output

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The project takes place on 03/09/2020 at 08:00 Netherlands(GMT+2) until 18:00 (GMT +2).

The project is a second year Communication Science Bachelor statistics project which involves the usage of SPSS. During the project a fictive data set needs to be analysed. Therefore it would useful if you are able to perform the following analysis and tasks:

- code nominal variables with more than 2 categories into dummy variables

- perform an ANOVA F-test of significance, using the BY keyword in SPSS UNIANOVA syntax

- interpret results of ANOVA F-tests of significance and can report them in APA-format

- identify moderation in research questions and theoretical models

- identify a possible interaction graphically for one dichotomous and one continuous variable

- interpret interaction terms in a linear regression equation and know how to compute predicted values for y with them

- report interaction results in APA style

- identify a possible interaction graphically for two categorical variables

- create a graph for an interaction effect based on predicted y value

- formulate null hypotheses regarding contrasts and can conduct planned comparisons for linear models with nominal variables with more than 2 categories as independent variables

- conduct post-hoc tests for linear models with nominal variables with more than 2 categories as independent variables and understand when these are appropriate

- formulate null hypotheses regarding contrasts and can conduct planned comparisons for 2x2 and 2x3 designs

- conduct post-hoc tests for 2x2 and 2x3 designs and understand when these are appropriate

- report the results of planned comparisons and post-hoc tests in APA format

- identify a pre-post intervention design and distinguish it from a between-group design

- name the units of analysis and the clustering variable for a given research design

- compute the Pearson correlation for observations in wide format and know it quantifies the extent of clustering

- pre-post intervention design data sets in long format

- perform a simple linear mixed model analysis for a pre-post intervention design

- interpret the output of a simple linear mixed model analysis for any within design (two levels), make predictions, calculate confidence intervals and do hypothesis testing & interpret the variance of the random effects

- report a simple linear mixed model analysis in APA form

- interpret and calculate intraclass correlations based on output

- recognize a mixed design: distinguishing within person (repeated measures) and between person variables (group variable or covariate).

Students can put mixed design data in long format

- perform a linear mixed model analysis on a mixed design data set with interaction effects

- interpret the output by making predictions, calculating confidence intervals and hypothesis testing

- interpret mixed design output: predicting values, calculate confidence intervals and hypothesis testing

- report mixed design analyses in APA format

- know that you can’t do a regression analysis when you want the dependent variable to be treated ordinally or when the model assumption of normally distributed residuals is not met

- choose, perform and interpret a Kruskall Wallis test for a nominal independent variable and an ordinal dependent variable, or when the model assumption of normally distributed residuals is not met

- choose, perform and interpret a rank order correlation for two ordinal variables (Spearman and Kendall)

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Feel free to ask any questions. If necessary I'll provide any materials that are needed.

Thống kê SPSS ANOVA Phân tích thống kê Research Writing

ID dự án: #24728285

Về dự án

26 đề xuất Dự án từ xa 3 năm trước đang mở

26 freelancer chào giá trung bình €11/giờ cho công việc này

charleslimnet

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bishakhamutsuddy

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