Feedback on Psycho Exam

Slides:



Advertisements
Similar presentations
Feedback on Psychological Investigations First Mock Exam.
Advertisements

Hypothesis Testing. A Research Question Everybody knows men are better drivers than women. Hypothesis: A tentative explanation that accounts for a set.
Hypothesis testing – mean differences between populations
Let’s flip a coin. Making Data-Based Decisions We’re going to flip a coin 10 times. What results do you think we will get?
Hypothesis Testing: One Sample Cases. Outline: – The logic of hypothesis testing – The Five-Step Model – Hypothesis testing for single sample means (z.
Feedback on Psycho. Invest. 1.Give NUMBER and at least 2 other facts. 2.OPPORTUNITY sample: relate details to YOUR activity. 3.Full marks only if you apply.
Statistical Inference for the Mean Objectives: (Chapter 9, DeCoursey) -To understand the terms: Null Hypothesis, Rejection Region, and Type I and II errors.
Introduction to Hypothesis Testing: the z test. Testing a hypothesis about SAT Scores (p210) Standard error of the mean Normal curve Finding Boundaries.
Inferential Statistics Significance Testing Chapter 4.
Don’t be wordy; mind your style! “The results that were taken from a sample of people go to show some results that tell us some facts about how women and.
Statistics Statistics Data measurement, probability and statistical tests.
Statistical Inference for the Mean Objectives: (Chapter 8&9, DeCoursey) -To understand the terms variance and standard error of a sample mean, Null Hypothesis,
Extension: How could researchers use a more powerful measure of analysis? Why do you think that researchers do not just rely on descriptive statistics.
By Mai Fukata AAH Help me!. The meaning of probability is… A way to measure the chances that something will occur in relation to the possible alternatives.
Chapter 8 Introducing Inferential Statistics.
Statistical Analysis: Chi Square
Logic of Hypothesis Testing
Data measurement, probability and Spearman’s Rho
Hypothesis Testing Hypothesis testing is an inferential process
As in the books, not you personally!
Hypothesis Testing.
Learning Objectives: 1. Understand the use of significance levels. 2
Inferential Statistics
Factors Affecting Choice of Statistical Test
STATISTICS FOR SCIENCE RESEARCH
Dr. Amjad El-Shanti MD, PMH,Dr PH University of Palestine 2016
Data analysis Research methods.
Inference and Tests of Hypotheses
Chapter 21 More About Tests.
6.1 The Role of Probability in Statistics: Statistical Significance
Learning Aims By the end of this session you are going to totally ‘get’ levels of significance and why we do statistical tests!
Data measurement, probability and statistical tests
Inferential Statistics
Inferential Statistics
Inferential statistics,
More about Tests and Intervals
Inferential Statistics
Understanding How Hypothesis Testing Works
What goes in a results section?
Sign test/forensic mini mock
Statistical Analysis of Data
Hypothesis Testing.
Inferences About Means from Two Independent Groups
Setting significance levels at the correct level
Analysis based on normal distributions
Making Data-Based Decisions
Research Methods: Unit 4: Past Paper
Stat 217 – Day 28 Review Stat 217.
Statistical Tests P Values.
6.1 The Role of Probability in Statistics: Statistical Significance
Statistical Analysis Error Bars
Using Statistical techniques in Geography
Starter: Descriptive Statistics
Hypothesis Testing.
Psychology Life Hack of the Week
Writing the IA Report: Analysis and Evaluation
Power.
Data measurement, probability and statistical tests
6.1 Psychology Research methods.
11E The Chi-Square Test of Independence
Research Methods: The Experimental Method
How do you know if the variation in data is the result of random chance or environmental factors? O is the observed value E is the expected value.
Research Methods: Data analysis and reporting investigations.
Testing Hypotheses about a Population Proportion
Section 11.1: Significance Tests: Basics
Chapter 4 Summary.
Inferential testing.
Evidence in Practice This is a coursework style assessment, that will be formally assessed during your exam. The specification requires that you: Describe.
Testing Hypotheses about a Population Proportion
Introduction To Hypothesis Testing
Presentation transcript:

Feedback on Psycho Exam 1. Give answer scheme AND instruction. 2. Might be a good idea to give results to DIFFERENT answers. Results need to have NUMBERS in them. 3. Three points here. Name and explain the guideline. Say why it is a problem when investigating CRIME. Say how you would overcome it.

4. Did you give enough detail for a complete stranger to REPLICATE exactly what you did? 5. Generally well identified but relate SPECIFICALLY to YOUR observation i.e. don’t just waffle about demand characteristics but give an example from one of your categories. 6.Same again. “My categories should have been clearer” is far too VAGUE. Give examples.

7.Identify, describe, explain in relation to how you obtained YOUR sample. 8. Good. Don’t forget NUMBER 9. Three points need to be made here x 2. Relate to YOUR experiment e.g. “The fact that my participants were smartly dressed may have affected their judgement about the formally dressed person in my experiment.” if you are referring to bias.

10. Good. Some of you need to clarify your hypothesis slightly. 11a. As well as saying whether the null was SUPPORTED or REJECTED, you need to write out the WHOLE conclusion. “There was a significant positive correlation between x and y.” 11b Not well done. See handouts. LEARN! 12. Slight positive correlation Individual differences: one child had a high TV viewing score but a relatively low aggression score.

Activity C State the statistical test you used. “The Mann-Whitney (U) test was used to analyse the results.” State the calculated value you found. “The calculated value was found to be 23” State the critical value you found and its level of significance. “The critical value was 27, at a level of significance of p<0.05” State the next stage: “As the calculated value was lower than the critical value, the results were found to be significant at a level of p<0.05. This means that the probability that the results occurred by chance is less than 1 in 20. Relate to the hypothesis: “Therefore the hypothesis is supported. There is a significant increase in women’s ability to shop indefinitely compared to men’s, at a level of significance of p<0.05”