Finishing up: Posters, Talks, & Regression Psych 231: Research Methods in Psychology.

Slides:



Advertisements
Similar presentations
Critical Reading Strategies: Overview of Research Process
Advertisements

Making presentations Psych 231: Research Methods in Psychology.
Research presentation Assignment 1 per group: –Prepare a min research presentation of your experiment (power point or overhead, and script of what.
Powerpoint Presentation 1. The topic of the presentation meets the requirements of the assignment. (/5) 1. The topic of the presentation meets the requirements.
Reporting results: APA style Psych 231: Research Methods in Psychology.
The research process Psych 231: Research Methods in Psychology.
Basic Statistical Concepts Psych 231: Research Methods in Psychology.
Basic Statistical Concepts
Statistics Psych 231: Research Methods in Psychology.
Reporting results: APA style Psych 231: Research Methods in Psychology.
Developing and Preparing for Presentations By: Michelle McCabe.
Writing tips Based on Michael Kremer’s “Checklist”,
Stat 217 – Week 10. Outline Exam 2 Lab 7 Questions on Chi-square, ANOVA, Regression  HW 7  Lab 8 Notes for Thursday’s lab Notes for final exam Notes.
ALEC 604: Writing for Professional Publication
The research process Psych 231: Research Methods in Psychology.
The research process Psych 231: Research Methods in Psychology.
Making presentations Psych 231: Research Methods in Psychology.
Basic Statistical Concepts Part II Psych 231: Research Methods in Psychology.
Using Statistics in Research Psych 231: Research Methods in Psychology.
Correlation and Regression. Relationships between variables Example: Suppose that you notice that the more you study for an exam, the better your score.
Statistics for the Social Sciences Psychology 340 Fall 2013 Thursday, November 21 Review for Exam #4.
Talks & Statistics (wrapping up) Psych 231: Research Methods in Psychology.
AuthorAID Post-PACN-Congress Workshop on Research Writing Accra, Ghana November 2011.
Planning & Writing Laboratory Reports A Brief Review of the Scientific Method.
How to design and present a poster By Prof. Dr. A. El-Ansary.
Take the University Challenge: Writing in the Sciences The Academic Skills Centre.
Marion Degenhardt University of Education, Freiburg Burg Bodenstein March 3rd 2004 Presentation skills How to prepare and give a scientific talk.
Stat 13, Thur 5/24/ Scatterplot. 2. Correlation, r. 3. Residuals 4. Def. of least squares regression line. 5. Example. 6. Extrapolation. 7. Interpreting.
Lab Reports Biology. The First Section of the Lab- Introduction Name at top right corner Date also in the top left corner Title –Appropriate title on.
1 Today’s Objectives  Announcements Phase III of the team project is due next week, including the presentations – 2-Dec Final Exam 9-Dec (in two weeks)
Slide Slide 1 Warm Up Page 536; #16 and #18 For each number, answer the question in the book but also: 1)Prove whether or not there is a linear correlation.
Reasoning in Psychology Using Statistics
The research process Psych 231: Research Methods in Psychology.
Introduction to Statistics for the Social Sciences SBS200, COMM200, GEOG200, PA200, POL200, or SOC200 Lecture Section 001, Spring 2015 Room 150 Harvill.
Making presentations Psych 231: Research Methods in Psychology.
The research process Psych 231: Research Methods in Psychology.
CS 463 Sample Presentation G. S. Young Computer Science Department.
Title Page The title page is the first page of your psychology paper. In order to make a good first impression, it is important to have a well-formatted.
Introduction to Statistics for the Social Sciences SBS200, COMM200, GEOG200, PA200, POL200, or SOC200 Lecture Section 001, Fall 2015 Room 150 Harvill.
The research process Psych 231: Research Methods in Psychology.
Helpful hints for planning your Wednesday investigation.
The research process Psych 231: Research Methods in Psychology.
Giving Presentations Hey-Jin Lee WMN Lab. - Writing for Computer Science -
Introduction to Statistics for the Social Sciences SBS200, COMM200, GEOG200, PA200, POL200, or SOC200 Lecture Section 001, Spring 2016 Room 150 Harvill.
Inferential Statistics Psych 231: Research Methods in Psychology.
CS 664 Sample Presentation
Psych 231: Research Methods in Psychology
Reasoning in Psychology Using Statistics
Please hand in Project 4 To your TA.
Introduction to Statistics for the Social Sciences SBS200 - Lecture Section 001, Fall 2017 Room 150 Harvill Building 10: :50 Mondays, Wednesdays.
Psych 231: Research Methods in Psychology
Reasoning in Psychology Using Statistics
Reasoning in Psychology Using Statistics
Reasoning in Psychology Using Statistics
Psych 231: Research Methods in Psychology
Psych 231: Research Methods in Psychology
Psych 231: Research Methods in Psychology
Reasoning in Psychology Using Statistics
Psych 231: Research Methods in Psychology
Lecturer’s desk Projection Booth Screen Screen Harvill 150 renumbered
Inferential Statistics
Psych 231: Research Methods in Psychology
Psych 231: Research Methods in Psychology
Psych 231: Research Methods in Psychology
Reasoning in Psychology Using Statistics
Reasoning in Psychology Using Statistics
CS 6640 Sample Presentation
Biology Writing a Lab Report
Reasoning in Psychology Using Statistics
Psych 231: Research Methods in Psychology
Presentation transcript:

Finishing up: Posters, Talks, & Regression Psych 231: Research Methods in Psychology

Announcements Poster sessions in lab this week Go to lab, set up posters, take attendance Turn in group ratings sheet Turn in results and reference section for group project

Your posters (our checklist) Content Introduction Problem of interest Very brief summary of past research Basic purpose of experiment(s) Hypotheses Method Brief but clear Design Materials Procedure (brief)

Your posters (our checklist) Content cont. Results Descriptive statistics Inferential results Discussion Hypothesis rejected or supported Implication of results A few take home points References Tables and figures Useful info to reader Easy to understand

Your posters (our checklist) Format Overall clarity Organization Font size Figure/text balance Title Authors

Different kinds of talks Research Presentations (typically 10 to 30 mins) Paper with respondent Panel Presentation Workshop

Talk Content Create a logical progression to the talk Hourglass shape Work on the transitions between slides Be brief, but include enough details so that the audience can follow the arguments Use slides to help simplify/clarify points Include tables, graphs, pictures, etc. Don’t just read the slides but do “walk through” those that need it (e.g. graphs of results) Be careful of jargon, explain terms (if in fact you really need them)

Presentation of the talk Make it smooth (lots of practice will help) Watch your speaking rate (again, practice) Maintain eye contact with whole audience Emphasize the key points, make sure that the audience can identify these Point to the slides if it helps Beware jokes, can be a double-edged sword Don’t go over your time

Dealing with questions Repeat the question in your own words so that the rest of the audience can hear it to make sure that you understood the question to buy yourself some time to think about the answer Try not to be nervous you know your study better than anyone else When preparing, try to think of likely questions and prepare answers

Checklist for the talk Preparation Analyze the audience Choose your main points etc. Prepare the Final Outline fix any problems/loose ends Construct your “speaking” outline e.g., the note cards that you’ll read Rehearse, rehearse, rehearse

Relationships between variables Example: Suppose that you notice that the more you study for an exam, the better your score typically is. This suggests that there is a relationship between study time and test performance. We call this relationship a correlation. Can describe: Shape, direction, and shape Suppose want to do more? Make predictions - Regression What exam score do you predict based on how much you study

Scatterplot Hours study X Exam perf. Y Y X

Y X Regression Compute the equation for the line that best fits the data points Y = (X)(slope) + (intercept) 2.0 Change in Y Change in X = slope 0.5

Y X Regression Can make specific predictions about Y based on X Y = (X)(.5) + (2.0) X = 5 Y = ? Y = (5)(.5) + (2.0) Y = =

Regression Also need a measure of error Y = X(.5) + (2.0) + error Y X Y X Same line, but different relationships (strength difference)

Cautions with correlation & regression Don’t make causal claims Don’t extrapolate Extreme scores (outliers) can strongly influence the calculated relationship

Labs this week Poster presentations Turn in group ratings sheets Turn in results and reference section for group project