ID# Exam 1 PS 306, Spring 2002

Similar documents
ID# Exam 1 PS306, Spring 2005

ID# Final Exam PS 217, Spring 2002 (You must use your Skidmore ID#!)

ID# Exam 3 PS 306, Spring 2005 (You must use official ID#)

Exam 3 PS 306, Spring 2005

Final Exam PS 217, Spring 2004

ID# Exam 2 PS 217, Fall 2010

Exam 2 PS 306, Spring 2004

ID# Exam 3 PS 217, Spring 2009 (You must use your official student ID)

Exam 2 PS 306, Fall 2005

Quantitative Evaluation

Sociology 63993, Exam1 February 12, 2015 Richard Williams, University of Notre Dame,

SPSS output for 420 midterm study

Review and Wrap-up! ESP 178 Applied Research Methods Calvin Thigpen 3/14/17 Adapted from presentation by Prof. Susan Handy

Regression Including the Interaction Between Quantitative Variables

Inferential Statistics

Intro to SPSS. Using SPSS through WebFAS

SPSS output for 420 midterm study

Age (continuous) Gender (0=Male, 1=Female) SES (1=Low, 2=Medium, 3=High) Prior Victimization (0= Not Victimized, 1=Victimized)

ID# Exam 3 PS 217, Fall 2011 (You must use your real student ID#)

PSY 216: Elementary Statistics Exam 4

One slide on research question Literature review: structured; holes you will fill in Your research design

A. Indicate the best answer to each the following multiple-choice questions (20 points)

Simple Linear Regression

Midterm STAT-UB.0003 Regression and Forecasting Models. I will not lie, cheat or steal to gain an academic advantage, or tolerate those who do.

Chapter 14. Inference for Regression Inference about the Model 14.1 Testing the Relationship Signi!cance Test Practice

Economics 345 Applied Econometrics

Statistical reports Regression, 2010

Study Guide #2: MULTIPLE REGRESSION in education

The essential focus of an experiment is to show that variance can be produced in a DV by manipulation of an IV.

Statistics 2. RCBD Review. Agriculture Innovation Program

Assignment 4: True or Quasi-Experiment

Name: emergency please discuss this with the exam proctor. 6. Vanderbilt s academic honor code applies.

Exam 3 PS 217, Spring 2011

Between Groups & Within-Groups ANOVA

66 Questions, 5 pages - 1 of 5 Bio301D Exam 3

MODEL I: DRINK REGRESSED ON GPA & MALE, WITHOUT CENTERING

Designing A User Study

14.1: Inference about the Model

Goal: To become familiar with the methods that researchers use to investigate aspects of causation and methods of treatment

Previous Example. New. Tradition

SUMMER 2011 RE-EXAM PSYF11STAT - STATISTIK

Types of questions. You need to know. Short question. Short question. Measurement Scale: Ordinal Scale

Midterm Exam MMI 409 Spring 2009 Gordon Bleil

PSYCHOLOGY 300B (A01)

Chapter 9 Experimental Research (Reminder: Don t forget to utilize the concept maps and study questions as you study this and the other chapters.

Chapter 11. Experimental Design: One-Way Independent Samples Design

Business Statistics Probability

Simple Linear Regression One Categorical Independent Variable with Several Categories

Controlled Experiments

HOW TO IDENTIFY A RESEARCH QUESTION? How to Extract a Question from a Topic that Interests You?

Math 261 Exam I Spring Name:

Problem Set 3 ECN Econometrics Professor Oscar Jorda. Name. ESSAY. Write your answer in the space provided.

Regression. Page 1. Variables Entered/Removed b Variables. Variables Removed. Enter. Method. Psycho_Dum

WELCOME! Lecture 11 Thommy Perlinger

SAMPLE. 1. Explain how you would carry out an experiment into the effect playing video games has on alertness.

Chapter 9: Comparing two means

Question 1(25= )

Phil 12: Logic and Decision Making (Winter 2010) Directions and Sample Questions for Final Exam. Part I: Correlation

Chapter 12: Analysis of covariance, ANCOVA

Sociology 593 Exam 2 March 28, 2003

One-Way Independent ANOVA

Comparing 3 Means- ANOVA

STA 3024 Spring 2013 EXAM 3 Test Form Code A UF ID #

9.0 L '- ---'- ---'- --' X

Reading Time [min.] Group

Use the above variables and any you might need to construct to specify the MODEL A/C comparisons you would use to ask the following questions.

UF#Stats#Club#STA#2023#Exam#1#Review#Packet# #Fall#2013#

For a certificate or if you have any questions about the information included in this Journal summary, please contact:

Statistical analysis DIANA SAPLACAN 2017 * SLIDES ADAPTED BASED ON LECTURE NOTES BY ALMA LEORA CULEN

Do not write your name on this examination all 40 best

Answer Key to Problem Set #1

THE FIGHTER PILOT CHALLENGE: IN THE BLINK OF AN EYE

Why is learning about Introduction and Research Methods important? For each chapter, you will tell me why learning about the chapter is important.

2-Group Multivariate Research & Analyses

Analysis of Variance: repeated measures

Interpreting Instructional Cues in Task Switching Procedures: The Role of Mediator Retrieval

PSYCHOLOGY 320L Problem Set #4: Estimating Sample Size, Post Hoc Tests, and Two-Factor ANOVA

STAT 503X Case Study 1: Restaurant Tipping

Module 28 - Estimating a Population Mean (1 of 3)

Learn This: You have to know the difference between an Independent and Dependent Variable.

Further Mathematics 2018 CORE: Data analysis Chapter 3 Investigating associations between two variables

CLINICAL RESEARCH METHODS VISP356. MODULE LEADER: PROF A TOMLINSON B.Sc./B.Sc.(HONS) OPTOMETRY

Goal: To become familiar with the methods that researchers use to investigate aspects of causation and methods of treatment

Chapter 13 Summary Experiments and Observational Studies

MULTIPLE LINEAR REGRESSION 24.1 INTRODUCTION AND OBJECTIVES OBJECTIVES

plural noun 1. a system of moral principles: the ethics of a culture. 2. the rules of conduct recognized in respect to a particular group, culture,

Follow your data. Visual Analysis. Parts of a Graph. Class 7 SPCD 619

Dan Byrd UC Office of the President

Write your identification number on each paper and cover sheet (the number stated in the upper right hand corner on your exam cover).

11/18/2013. Correlational Research. Correlational Designs. Why Use a Correlational Design? CORRELATIONAL RESEARCH STUDIES

Sample Exam Paper Answer Guide

European Journal of Physical Education and Sport, 2016, Vol.(14), Is. 4

AP STATISTICS 2013 SCORING GUIDELINES

Chapter 13. Experiments and Observational Studies. Copyright 2012, 2008, 2005 Pearson Education, Inc.

AP Statistics Practice Test Ch. 3 and Previous

Public Policy & Evidence:

GCE. Psychology. Mark Scheme for January Advanced Subsidiary GCE Unit G541: Psychological Investigations. Oxford Cambridge and RSA Examinations

A Brief Guide to Writing

Behaviorism: An essential survival tool for practitioners in autism

Transcription:

ID# Exam 1 PS 306, Spring 2002 You should recognize the above cartoon as a fanciful way of reminding you that the Skidmore Honor Code is in effect. Work your way through the exam quickly and carefully, answering each question as completely as you can. Show as much of your work as possible, so that you can be sure of getting as much credit as possible. Don t hesitate to comment on particular designs, etc., even if it s not called for explicitly in the question (some questions are implicit). I think of a point as a minute, so you should expect to spend about 10 minutes on a 10-point question (for example). If you spend more time on a question than it is worth, you may not be able to complete the exam. There is a class following ours, so I will collect all the exams promptly at the end of the allotted time. Good Luck! Have a wonderful Spring Break! 1. Briefly provide an example of a nonmanipulated characteristic of a participant. Then, provide a clear explanation why you could not make a causal claim about such a variable if it were used in a study. (Be very explicit!) [5 pts]

2. Hypothesis testing is essential to the research enterprise in psychology. Briefly define Type I Error, Type II Error, and power. Then, tell me why power is so important (or alternatively, why a Type II Error is so bad). Finally, tell me as many ways as you can to increase the power of a study. [5 pts] 3. Briefly explain why it is essential to develop an error term (MS) for the repeated measures design that includes only variability due to random factors? How is it computed? [ 5 pts]

4. External validity is important in some circumstances, but Mook tries to argue that it s not particularly important in a lot of psychological research. First of all, define external validity. Then, using at least two of the studies cited in the article, explain circumstances in which Mook argues that external validity is not important (and why he thinks that way). Finally, using a single study that Mook discusses, indicate why a manipulation check would have been appropriate (or why a manipulation check would not have been needed). [10 pts]

5. Dr. Buster Gutt believes that laughter is a good antidote to depression. To test his hypothesis, he randomly samples 20 people and asks them to wear a counter device that they press every time they laugh during a given randomly selected day. At the end of the day of the study, he gives participants a device that tests their level of depression. Rather than use the Beck Depression Inventory, he chooses to use the less well known Degree of Unmanageable Depression Evaluation. Scores on the DUDE run from 0 (no depression) to 20 (very depressed). Dr. Gutt has analyzed his data as seen below. Regression Summary Depression Score vs. Times Laughing Count Num. Missing R R Squared Adjusted R Squared RMS Residual 19 1.819.670.651 4.234 ANOVA Table Depression Score vs. Times Laughing Regression Residual Total DF Sum of Squares Mean Square F-Value P-Value 1 619.666 619.666 34.567 <.0001 17 304.755 17.927 18 924.421 Depression Score 20 18 16 14 12 10 8 6 4 2 0 Regression Plot -5 0 5 10 15 20 25 30 Times Laughing Y = 15.412 -.797 * X; R^2 =.67 Regression Coefficients Depression Score vs. Times Laughing Intercept Times Laughing Coefficient Std. Error Std. Coeff. t-value P-Value 15.412 1.542 15.412 9.993 <.0001 -.797.135 -.819-5.879 <.0001 Based on these analyses, interpret his results as completely as you can. (Be explicit!) If a person laughed 10 times a day, what would you predict that person s DUDE score to be? If a person laughed 20 times a day, what would you predict that person s DUDE score to be? [Careful think!] Based on these results, Dr. Gutt begins advising his depressed patients to laugh at least 5 times each day. What might you want to say to the good doctor? [15 pts]

6. Dr. Jane Picasso is a clinical psychologist interested in autism. She is convinced that autistic children will respond better to treatment if they are in familiar settings. To that end, she randomly assigns 50 autistic children to treatment under 5 different conditions (Home, Familiar Office, Familiar Clinic, New Unfamiliar Clinic, and New Unfamiliar Office for every treatment). The children undergo treatment twice a week for one month under these conditions and are then tested on their progress using a 10-point rating scale (1=little progress and 10 = lots of progress). Below are incomplete analyses from her study. Complete the analyses and interpret the data as completely as you can. [15 pts] Means Table for Progress Effect: Setting Fam Clinic Fam Office Home New Office Unfam Clinic Count Mean Std. Dev. Std. Err. 10 3.300 1.160.367 10 4.100 1.370.433 10 6.200 2.394.757 10 1.400.516.163 10 2.800.789.249

7. Dr. Ty Pest is a human factors psychologist who is interested in testing the impact of different keyboard layouts on typing speed. To that end, he chooses four different conditions: a normal keyboard with normal (QWERTY) keyboard layout, a normal keyboard with the Dvorak layout of keys (supposedly a more efficient layout), an ergonomic (split) keyboard with normal keyboard layout, and an ergonomic (split) keyboard with the Dvorak layout of keys. He chooses as his participants secretaries who have at least 5 years of typing experience. The DV is the number of words per minute of typing of complex textual material in 15 minutes. Dr. Pest should use counterbalancing in his experiment, of course. What kind would he use and how many different orders would that generate? Below are the incomplete analyses of his experiment. Complete the analyses and interpret the results as completely as you can. [15 pts] Means Table for Keyboard Effect: Category for Keyboard Normal-QWERTY Normal-Dvorak Ergo-QWERTY Ergo-Dvorak Count Mean Std. Dev. Std. Err. 10 74.000 11.738 3.712 10 43.000 12.737 4.028 10 70.500 13.006 4.113 10 35.000 12.693 4.014