Understanding Human-Mountain Lion Management Strategies Using PCI Jerry J. Vaske Rebecca Howe Michael J. Manfredo Colorado State University Fort Collins,

Slides:



Advertisements
Similar presentations
ASSESSING RESPONSIVENESS OF HEALTH MEASUREMENTS. Link validity & reliability testing to purpose of the measure Some examples: In a diagnostic instrument,
Advertisements

Communicating Research Findings More Effectively: The Potential for Conflict Index Jerry J. Vaske Colorado State University Human Dimensions of Natural.
Chapter 2 Notes Psychological Research Methods and Statistics
Reliability and Validity checks S-005. Checking on reliability of the data we collect  Compare over time (test-retest)  Item analysis  Internal consistency.
Types of Reliability.
Increasing your confidence that you really found what you think you found. Reliability and Validity.
Reliability & Validity.  Limits all inferences that can be drawn from later tests  If reliable and valid scale, can have confidence in findings  If.
Statistics.  Statistically significant– When the P-value falls below the alpha level, we say that the tests is “statistically significant” at the alpha.
Models for Measuring. What do the models have in common? They are all cases of a general model. How are people responding? What are your intentions in.
Understanding Hunters’ Responses to Chronic Wasting Disease: The Potential for Conflict Index Jerry J. Vaske Mark D. Needham Michael J. Manfredo Peter.
Statistical Decision Making
5/15/2015Slide 1 SOLVING THE PROBLEM The one sample t-test compares two values for the population mean of a single variable. The two-sample test of a population.
Business Statistics for Managerial Decision
Normative Beliefs of Galapagos Fishermen Arren Allegretti Jerry J. Vaske Ryan Finchum Colorado State University Human Dimensions of Natural Resources Fort.
Developing the Research Question
Critiquing Research Articles For important and highly relevant articles: 1. Introduce the study, say how it exemplifies the point you are discussing 2.
PCI – 2 point scale Important Not Important Sample or Sample or Sample or Group 1 Group 2 Group 3 Response to 1 st PCI variable Response to 2 nd PCI variable.
HYPOTHESIS TESTING Four Steps Statistical Significance Outcomes Sampling Distributions.
Hypothesis Testing GTECH 201 Lecture 16.
Inferences About Means of Single Samples Chapter 10 Homework: 1-6.
Inferences About Means of Single Samples Chapter 10 Homework: 1-6.
Before doing comparative research with SEM … Prof. Jarosław Górniak Institute of Sociology Jagiellonian University Krakow.
© 2005 The McGraw-Hill Companies, Inc., All Rights Reserved. Chapter 13 Using Inferential Statistics.
© 1999 Prentice-Hall, Inc. Chap Chapter Topics Hypothesis Testing Methodology Z Test for the Mean (  Known) p-Value Approach to Hypothesis Testing.
The one sample t-test November 14, From Z to t… In a Z test, you compare your sample to a known population, with a known mean and standard deviation.
What If You Reject H 0 ? How much different is Second Population from which Your Sample Is derived? d is a rati o (Comparison) of group differences to.
Normative Tolerances and Standards for Off Leash Dogs Jerry J. Vaske Maureen P. Donnelly Colorado State University.
Social Science Research Design and Statistics, 2/e Alfred P. Rovai, Jason D. Baker, and Michael K. Ponton Internal Consistency Reliability Analysis PowerPoint.
1 PARAMETRIC VERSUS NONPARAMETRIC STATISTICS Heibatollah Baghi, and Mastee Badii.
Chapter 6 Sampling and Sampling Distributions
Reliability, Validity, & Scaling
CENTRE FOR INNOVATION, RESEARCH AND COMPETENCE IN THE LEARNING ECONOMY Session 2: Basic techniques for innovation data analysis. Part I: Statistical inferences.
College Male Attitudes Towards Bystander Intervention Nate Tysk Advisor: Susan Wolfgram, Ph. D University of Wisconsin-Stout RESEARCH PROBLEM: College.
1 Statistical Inference. 2 The larger the sample size (n) the more confident you can be that your sample mean is a good representation of the population.
Introduction to Hypothesis Testing: One Population Value Chapter 8 Handout.
Statistical Decision Making. Almost all problems in statistics can be formulated as a problem of making a decision. That is given some data observed from.
User Study Evaluation Human-Computer Interaction.
Deciphering Results For each survey item you are analyzing, choose one of the following: Independent samples t-test Paired samples t-test One sample t-test.
Single Sample Dependent Samples Independent Samples
Scales & Indices. Measurement Overview Using multiple indicators to create variables Using multiple indicators to create variables Two-step process: Two-step.
By Cao Hao Thi - Fredric W. Swierczek
Number of Scale Points. 3 Points How would you say this magazine has impacted your overall opinion of actors? It has made my opinion more favorable It.
BUS304 – Chapter 6 Sample mean1 Chapter 6 Sample mean  In statistics, we are often interested in finding the population mean (µ):  Average Household.
1 1 Slide © 2005 Thomson/South-Western Slides Prepared by JOHN S. LOUCKS St. Edward’s University Slides Prepared by JOHN S. LOUCKS St. Edward’s University.
Experimental Design and Statistics. Scientific Method
Deciphering Results For each survey item you are analyzing, choose one of the following: Independent samples t-test Paired samples t-test One sample t-test.
SCHOOL OF ENVIRONMENT AND NATURAL RESOURCES Attitudes toward predator control in the United States Ajay Singh Kristina Slagle Jeremy Bruskotter Robyn Wilson.
Hypothesis Testing Errors. Hypothesis Testing Suppose we believe the average systolic blood pressure of healthy adults is normally distributed with mean.
Assessing Responsiveness of Health Measurements Ian McDowell, INTA, Santiago, March 20, 2001.
Statistical Inference Drawing conclusions (“to infer”) about a population based upon data from a sample. Drawing conclusions (“to infer”) about a population.
American Attitudes Toward Wildlife:
Reliability: Introduction. Reliability Session 1.Definitions & Basic Concepts of Reliability 2.Theoretical Approaches 3.Empirical Assessments of Reliability.
Advanced Statistical Methods: Continuous Variables REVIEW Dr. Irina Tomescu-Dubrow.
AP Statistics Chapter 21 Notes
2015 Survey of Residents’ Attitudes on Deer and Deer Management Summary of Findings Central Finger Lakes Management Unit.
T tests comparing two means t tests comparing two means.
Perceived Similarity, Social Trust, & Perceived Risk Jerry J. Vaske Human Dimensions in Natural Resources Unit Colorado State University Mark D. Needham.
Chapter 13 Understanding research results: statistical inference.
Research Methodology Lecture No :32 (Revision Chapters 8,9,10,11,SPSS)
EDU5950 SEM RELIABILITY ANALYSIS -CRONBACH ALPHA TEST FOR NORMALITY.
Chapter 11: Test for Comparing Group Means: Part I.
Oneway ANOVA comparing 3 or more means. Overall Purpose A Oneway ANOVA is used to compare three or more average scores. A Oneway ANOVA is used to compare.
5. Evaluation of measuring tools: reliability Psychometrics. 2011/12. Group A (English)
Reliability Analysis.
Scales & Indices.
Asist. Prof. Dr. Duygu FIRAT Asist. Prof.. Dr. Şenol HACIEFENDİOĞLU
Sampling Distribution
Sampling Distribution
Reliability Analysis.
Mean, Median, Mode The Mean is the simple average of the data values. Most appropriate for symmetric data. The Median is the middle value. It’s best.
Presentation transcript:

Understanding Human-Mountain Lion Management Strategies Using PCI Jerry J. Vaske Rebecca Howe Michael J. Manfredo Colorado State University Fort Collins, CO

Context Conflicts with mountain lions increasing –Mountain lion populations increasing –Human development intruding into lion habitat –Lions feeding closer to residential areas –Management actions scrutinized in popular press when a human is injured or killed Important to evaluate attitudes to mountain lions and acceptability of alternative mgmt. actions

Hypotheses H 1 : As severity of human–lion interactions increases, acceptability of destroying a lion increases H 2 : As severity of the human–lion interactions increases, consensus regarding destroying a lion decreases

Hypotheses H 3 : Individuals with positive attitudes toward lions will be less accepting of destroying them regardless of severity of human–lion interaction H 4 : Individuals with negative attitudes toward lions will have more consensus toward destroying them as severity of human–lion interaction increases

Methods Mailed survey (3 mailings) n = 2,668 Two random sample populations –Denver metro area(response rate = 50%) –Denver foothills(response rate = 67%) Non-response phone interview No statistically significant difference

Independent Variable Attitude toward Mountain Lions Overall, what are your feelings toward mountain lions? –Beneficial or Harmful –Good or Bad –Positive or Negative Example response scale Extremely Negative Moderately Negative Slightly NegativeNeutral Slightly Positive Moderately Positive Extremely Positive

Reliability Results – Attitude Index Mean Corrected Item-Total Correlation Cronbach Alpha if Item Deleted Cronbach Alpha Overall Reliability.835 Positive – Negative Good – Bad Beneficial – Harmful

Attitude Breakdown Attitude Toward Mountain Lions Number of Respondents Percent Positive Neutral Negative Total

Management Action Highly Unacceptable Unacceptable Somewhat UnacceptableNeither Somewhat AcceptableAcceptable Highly Acceptable Monitor the situation Frighten the lion away Capture and relocate the lion Destroy the lion Example scenario: Someone reports seeing a lion in your residential area Given this scenario, how unacceptable or acceptable would it be for wildlife agencies to take each of the following actions. Dependent Variables Evaluations of 4 Scenarios

Situations 1Someone reports seeing a mountain lion in your residential area A mountain lion has come into your residential area and 2.Kills a pet 3.Attacks and injures a person 4.Attacks and kills a person

Traditional Display Sighted Kills Pet Injures Person Kills Person Mean Standard Error Standard Deviation Variance Skewness Kurtosis

Highly Acceptable Neither Highly Unacceptable Action Acceptability Injures Person Kills Person Kills Pet Seen in Area Overall Acceptability of Destroying Lion

Highly Acceptable Neither Highly Unacceptable Action Acceptability Injures Person Kills Person Kills Pet Seen in Area Acceptability of Destroying Lion by Attitude Negative Attitude Positive Attitude Neutral Attitude

As severity of human–lion interaction increases: –Average acceptability of lethal control increases –Consensus for lethal control decreases Those with positive attitudes (the majority) are always less accepting of lethal control Consensus for lethal control varies by attitude –Positive attitude – consensus decreases with severity –Negative attitude - consensus increases with severity Summary

Questions