Contents Lecture 1 Course Intro and Research Project Lecture 2 ...
Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11
Contents Course Intro and Research Project Research Design & Data Preperation One-Way ANOVA and Post-Hoc Tests Planned Comparisons Two-Way ANOVA (Independent Measures) Two-Way ANOVA (Repeated Measures) Two-Way Mixed-Design ANOVA Assignment Info Correlations Multiple Regression (Principles) Multiple Regression (Assumptions)
Lecture 1 – Course Intro and Research Project Grouping the Syllabus:
Lecture 2 – Research Design & Data Preparation The Research Process:
Two Approaches 1. Null hypothesis significance o Develop an alternative hypothesis (H1) o Identify the null hypothesis (H0) o Test the null hypotheses o If the data are unlikely under the null (p < .05), reject H0 i. The H1 has survived another day ii. If p > 0.5, the H0 is a good explanation. 2. Parameter estimation with confidence intervals (Not Examinable) o If null hypothesis value is outside 95% confidence intervals, can ‘reject the null’.
Obtaining Good Data (Smith et al.)
Designing the Research 1. Do not alter or embellish standard scales without clearly indicating the changes 2. Design responses with the future method of analysis in mind i.e. we made all our data continuous Collecting the Data 1. Participate actively in the data collection i.e. completing the test survey 2. Check to ensure that research instruments have been completed without omissions Coding and Analysing Data 1. Check the scoring key against the survey instrument Are there any outlier scores? 2. Recode items purporting to measure the same characteristic so that they are scored in the same direction. 3. Assign unique numbers to missing values to distinguish them from other responses. Never delete data 4. Make sure data sets are comparable before combining them to make a larger sample.
Contents Course Intro and Research Project Research Design & Data Preperation One-Way ANOVA and Post-Hoc Tests Planned Comparisons Two-Way ANOVA (Independent Measures) Two-Way ANOVA (Repeated Measures) Two-Way Mixed-Design ANOVA Assignment Info Correlations Multiple Regression (Principles) Multiple Regression (Assumptions)
Lecture 1 – Course Intro and Research Project Grouping the Syllabus:
Lecture 2 – Research Design & Data Preparation The Research Process:
Two Approaches 1. Null hypothesis significance o Develop an alternative hypothesis (H1) o Identify the null hypothesis (H0) o Test the null hypotheses o If the data are unlikely under the null (p < .05), reject H0 i. The H1 has survived another day ii. If p > 0.5, the H0 is a good explanation. 2. Parameter estimation with confidence intervals (Not Examinable) o If null hypothesis value is outside 95% confidence intervals, can ‘reject the null’.
Obtaining Good Data (Smith et al.)
Designing the Research 1. Do not alter or embellish standard scales without clearly indicating the changes 2. Design responses with the future method of analysis in mind i.e. we made all our data continuous Collecting the Data 1. Participate actively in the data collection i.e. completing the test survey 2. Check to ensure that research instruments have been completed without omissions Coding and Analysing Data 1. Check the scoring key against the survey instrument Are there any outlier scores? 2. Recode items purporting to measure the same characteristic so that they are scored in the same direction. 3. Assign unique numbers to missing values to distinguish them from other responses. Never delete data 4. Make sure data sets are comparable before combining them to make a larger sample.
