Oww Study guides, Class notes & Summaries

Wk7AssignTedrowW.docx Testing for One-Way ANOVA Walden University RSCH 8210: Quantitative Reasoning and Analysis 14:08:13 GMT -05:00 Testing for One-Way ANOVA A one-way ANOVA examines the mean difference among two or more groups (Frankfort- Nachmias et al., 2021). To perform a one-way ANOVA there must be one independent variable with more than two categories, and a single continuous dependent variable. Using a one-way ANOVA we can begin to answer the research question: How does the coun...

Wk9AssignTedrowW.docx Multiple Regression in Practice Walden University RSCH 8210: Quantitative Reasoning and Analysis 14:08:16 GMT -05:00 Multiple Regression in Practice Multiple regression provides statistical analysis of the impact of multiple independent variables on the dependent variable (Frankfort-Nachmias et al., 2021). The use of multiple regression is beneficial to identify variables that have the most significant associations to the dependent variable when multiple factors ma...

Wk6AssignTedrowW.docx 1 Testing Hypothesis and Means Walden University RSCH 8210: Quantitative Reasoning and Analysis 14:08:59 GMT -05:00 Testing Hypothesis and Means Scenario One The Afrobarometer data set with a mean age of 37.23 was used for this scenario. A one- sample t-test is used to test a one-tailed research hypothesis that the level of democracy is below six. A one-sample t-test provides statistical analysis on how much variation the sample mean is from the null hypothesis (Fr...

Wk3AssignTedrowW.docx 1 Descriptive Analysis Walden University RSCH 8210: Quantitative Reasoning and Analysis 14:09:01 GMT -05:00 Descriptive Analysis The quantitative descriptive analysis is completed using the Afrobarometer data set with a mean age of 37.23. The categorical variable selected is Urban or Rural Primary Sampling Unit. The continuous variable selected is the Infrastructure Index. Categorical Variable The variable Urban or Rural Primary Sampling Unit uses a nomi...

Wk5AssignTedrowW.docx Evaluating Significance of Findings Walden University RSCH 8210: Quantitative Reasoning and Analysis 14:14:49 GMT -05:00 Evaluating Significance of Findings Scenario One Scenario one uses a sample size of 65 students who attend in-person classes and 69 students who attend online classes. Since the sampling size is greater than 50, it can be assumed that the sampling distribution of the mean is normal (Frankfort-Nachmias et al., 2021). This assumption allows for th...

Wk8AssignTedrowW.docx Testing for Correlation & Bivariate Regression Walden University RSCH 8210: Quantitative Reasoning and Analysis 14:08:12 GMT -05:00 Testing for Correlation & Bivariate Regression Self-efficacy is critical for teachers to provide effective instruction. How does the number of years a math teacher has taught predict the instructor's degree of self-efficacy? The High School Long Survey data set, with a mean X1SES of .0549, will be used to answer this research question...

Wk2AssignTedrowW.docx 1 Visually Displaying Data Results Walden University RSCH 8210: Quantitative Reasoning and Analysis 14:08:14 GMT -05:00 Visually Displaying Data Results Categorical Variable Using the Afrobarometer data set, with a mean age of 37.23, the first variable selected for visual display is the Urban or Rural Primary Sampling Unit. This is a categorical variable because all responses fall into urban, rural, or semi-urban categories. Each response carries the same weight ma...

Wk5AssignTedrowW.docx (1) Evaluating Significance of Findings Walden University RSCH 8210: Quantitative Reasoning and Analysis 14:15:33 GMT -05:00 Evaluating Significance of Findings Scenario One Scenario one uses a sample size of 65 students who attend in-person classes and 69 students who attend online classes. Since the sampling size is greater than 50, it can be assumed that the sampling distribution of the mean is normal (Frankfort-Nachmias et al., 2021). This assumption allows fo...

Wk4AssignTedrowW.docx (1) Confidence Intervals Walden University RSCH 8210: Quantitative Reasoning and Analysis 14:15:35 GMT -05:00 Confidence Intervals The variable infrastructure index in the Afrobarometer data set is used to calculate confidence intervals. The data set has a mean age of 37.23. A confidence level describes the likely hood that the mean of one sample will fit within the mean of a greater population (Frankfort-Nachmias et al., 2021). Greater variation in the population...

In dit document is alle stof samengevat die je moet leren voor het tentamen van TOE Correlationeel onderzoek. Hierin zijn de uitgewerkte hoorcolleges (volledig in het Nederlands) en de literatuur samengevat (deels in het Engels; verder uitgelegd in het Nederlands) opgenomen. Dit vak wordt gegeven in blok 4 van jaar 1 Sociale Wetenschappen aan de Universiteit Utrecht.