Attitudes of Community Members Toward Preschool Programs Aimee Marquez Modified by Dr. Carol Albrecht.

Slides:



Advertisements
Similar presentations
Chi Square Interpretation. Examples of Presentations The following are examples of presentations of chi-square tables and their interpretations. These.
Advertisements

HOMELESS POPULATION Karly Porter Paula Williams Alisha Eversole Modified by Dr. Carol Albrecht Numbers and charts have been modified, and information has.
Primary and Secondary Data
Chapter 11 Contingency Table Analysis. Nonparametric Systems Another method of examining the relationship between independent (X) and dependant (Y) variables.
Inference1 Data Analysis Inferential Statistics Research Methods Gail Johnson.
Justin Barton Adapted by Dr. Carol Albrecht. Needs Assessment Attitudes of students Pornography use and available services for treatment on campus.
Analysis of frequency counts with Chi square
Chapter 1 The Where, Why, and How of Data Collection
Effect of Physician Asthma Education on Health Care Utilization of Children at Different Income Levels Randall Brown, Noreen Clark, Niko Kaciroti, Molly.
STATISTICS TUTORIAL Applied Research In Organizational Behavior By: Dr. Goli Sadri.
Sampling and Experimental Control Goals of clinical research is to make generalizations beyond the individual studied to others with similar conditions.
Inferential Statistics  Hypothesis testing (relationship between 2 or more variables)  We want to make inferences from a sample to a population.  A.
Chapter 1 The Where, Why, and How of Data Collection
Data Analysis Express: Data Analysis Express: Practical Application using SPSS.
Cross-Tabulations.
Inferential Statistics
Background Info Opportunity for people to visually see their brainwave patterns through visual and audio cues on the computer Games and activities are.
Cross Tabulation and Chi-Square Testing. Cross-Tabulation While a frequency distribution describes one variable at a time, a cross-tabulation describes.
One Voice Conference: Gender Attitudes Towards School Board Governance: Professional Leadership and Policy Orientation Patricia Neville, Michael Rubino,
Research Process Research Process Step One – Conceptualize Objectives Step One – Conceptualize Objectives Step Two – Measure Objectives Step Two – Measure.
Research Process Step One – Conceptualization of Objectives Step Two – Measurement of Objectives Step Three – Determine Sampling Technique Step Four –
The Impact of CReSIS Summer Research Programs that Influence Students’ Choice of a STEM Related Major in College By: Alica Reynolds, Jessica.
Crosswalk Data Analysis Lynn White’s Stats Class Spring 2011 Add the names of all the team members to this first slide.
Business Statistics, A First Course (4e) © 2006 Prentice-Hall, Inc. Chap 11-1 Chapter 11 Chi-Square Tests Business Statistics, A First Course 4 th Edition.
Doing Sociology: Research Methods
Writing a Journal Article. Sections of a Journal Article Introduction or Statement of Purpose Literature Review Specific Statement of Hypothesis(es) Description.
Chapter 9: Non-parametric Tests n Parametric vs Non-parametric n Chi-Square –1 way –2 way.
Exam 2 – Example Questions A new local bookstore wants to understand consumer likes and preferences. You are hired to do a marketing research study.
Test of Independence. The chi squared test statistic and test procedure can also be used to investigate association between 2 categorical variables in.
Statistics: Introduction Healey Ch. 1. Outline The role of statistics in the research process Statistical applications Types of variables.
Attitudes Towards Women in the Workforce.  Females have more positive attitudes towards women working than do men.
Service Learning Dr. Albrecht. Presenting Results 0 The following power point slides contain examples of how information from evaluation research can.
CADA Final Review Assessment –Continuous assessment (10%) –Mini-project (20%) –Mid-test (20%) –Final Examination (50%) 40% from Part 1 & 2 60% from Part.
Kano Model & Multivariate Statistics Dr. Surej P John.
Parental Attitudes towards Children with Perinatal HIV/AIDS Olivia Schuenke & Houa Lee, Advisor: Dr. Susan Wolfgram, Ph.D. University of Wisconsin-Stout.
CHI SQUARE TESTS.
HYPOTHESIS TESTING BETWEEN TWO OR MORE CATEGORICAL VARIABLES The Chi-Square Distribution and Test for Independence.
Business Statistics: A First Course, 5e © 2009 Prentice-Hall, Inc. Chap 11-1 Chapter 11 Chi-Square Tests Business Statistics: A First Course Fifth Edition.
Section 10.2 Independence. Section 10.2 Objectives Use a chi-square distribution to test whether two variables are independent Use a contingency table.
Foundations of Sociological Inquiry Statistical Analysis.
THE IMPACT OF [INDEPENDENT VARIABLE] ON [DEPENDENT VARIABLE] CONTROLLING FOR [CONTROL VARIABLE] [Your Name] PLS 401, Senior Seminar Department of Public.
Examples of Presentations  The following are examples of presentations of regression tables and their interpretations.  These interpretations target.
Chapter 11: Chi-Square  Chi-Square as a Statistical Test  Statistical Independence  Hypothesis Testing with Chi-Square The Assumptions Stating the Research.
ContentFurther guidance  Hypothesis testing involves making a conjecture (assumption) about some facet of our world, collecting data from a sample,
Approve viol1 Lab NPV. TO WHAT EXTENT DO ATTITUDES APPROVING PARTNER VIOLENCE EXPLAIN HITTING A DATING PARTNER? DOES THIS THIS APPLY TO WOMEN AS WELL AS.
Chapter 14 – 1 Chi-Square Chi-Square as a Statistical Test Statistical Independence Hypothesis Testing with Chi-Square The Assumptions Stating the Research.
Approve viol1 Lab 7. TO WHAT EXTENT DO ATTITUDE AND CULTURAL NORMS EXPLAIN PARNER VIOLENCE, AND IS THE RELATIONSHIP DIFFERENT FOR MEN AND WOMEN? The Research.
Data Analysis: Statistics for Item Interactions. Purpose To provide a broad overview of statistical analyses appropriate for exploring interactions and.
Monday, June 23, 2008Slide 1 KSU Females prospective on Maternity Services in PHC Maternity Services in Primary Health Care Centers : The Females Perception.
Chi-Square Chapter 14. Chi Square Introduction A population can be divided according to gender, age group, type of personality, marital status, religion,
Chi Square Procedures Chapter 14. Chi-Square Goodness-of-Fit Tests Section 14.1.
Introduction to Marketing Research
Chi-square test.
Access to Dental Care Pre and Post Enrollment in a State Children’s Health Insurance Program (SCHIP) Beverly Mulvihill, PhD,1 Anita Jackson, BS,1 Alice.
Chi-Square hypothesis testing
Chapter 9: Non-parametric Tests
Dr. Siti Nor Binti Yaacob
Making Comparisons All hypothesis testing follows a common logic of comparison Null hypothesis and alternative hypothesis mutually exclusive exhaustive.
Chapter 11 Chi-Square Tests.
Hypothesis Testing Review
Asist. Prof. Dr. Duygu FIRAT Asist. Prof.. Dr. Şenol HACIEFENDİOĞLU
Chapter 10 Analyzing the Association Between Categorical Variables
Chapter 11 Chi-Square Tests.
J Geetha Madhuri Journal of Organizational Behavior 2017
Chapter 1 The Where, Why, and How of Data Collection
Week 3 Lecture Notes PSYC2021: Winter 2019.
Chapter 11 Chi-Square Tests.
The Where, Why, and How of Data Collection
CHI SQUARE (χ2) Dangerous Curves Ahead!.
Chapter 1 The Where, Why, and How of Data Collection
Presentation transcript:

Attitudes of Community Members Toward Preschool Programs Aimee Marquez Modified by Dr. Carol Albrecht

Purpose The purpose of this project is to examine the attitudes of community members towards preschool programs.The purpose of this project is to examine the attitudes of community members towards preschool programs. Please NOTE. This power point has been modified by Dr. Carol Albrecht and should only be used for an example of data presentations.Please NOTE. This power point has been modified by Dr. Carol Albrecht and should only be used for an example of data presentations.

Data Collection Methods The sampling technique used was a convenience sample and therefore can not be generalized to the population.The sampling technique used was a convenience sample and therefore can not be generalized to the population. A survey was constructed and mailed out to community members. The return rate was 10% for a total of 100 surveys.A survey was constructed and mailed out to community members. The return rate was 10% for a total of 100 surveys. The surveys were also self-administered and completely anonymous.The surveys were also self-administered and completely anonymous.

Hypothesis One The respondent’s attitude towards the statement, “Children of low income families deserve free access to preschool programs programs when they are preparing to enter elementary school” is contingent on the gender of the respondent.The respondent’s attitude towards the statement, “Children of low income families deserve free access to preschool programs programs when they are preparing to enter elementary school” is contingent on the gender of the respondent.

Table: Hypothesis One Table 1.1 Cross Tabulations of Gender by Attitudes Towards the Necessity of Special Attention for Low Income Children Special Attention for Low Income Children__________________________________________________________________________ Attitudes Attitudes __________________________________________________________________ __________________________________________________________________ GenderStrongly Disagree Neither Agree Agree Strongly Total Disagree nor Disagree Agree Disagree nor Disagree Agree__________________________________________________________________________ Male9.09 (3) (4) (15) (8) 9.09 (3) (33) Female0 (0) 7.46 (5) (20) (29) (13) (67) Total 3.00 (3) 9.00 (9) (35) (37) (16) (100) Chi Square * *p <.05 __________________________________________________________________________ Note: Number in parentheses are total number of respondents in each category.

Hypothesis Two The extent to which respondents agree that preschool education is a necessity for low income children is related positively to respondent’s education and the number of hours they work in a preschool facility. Females are more likely than males to feel preschool education is necessary, and as respondents describe their political ideology as more liberal, they are more likely to feel preschool education is necessary.

Table: Hypothesis Two Table 1.2 Regression: Attitudes Towards Preschool Education by Necessity of Special Attention for Low Income Children, Political Ideology, Total Reported Number of Days Worked with Preschool Program Where Only Low Income Children Qualified, and Gender __________________________________________________________________________ Variables with an Impact on the Attitude Towards the Necessity of Preschool Education Variables with an Impact on the Attitude Towards the Necessity of Preschool Education independentstandardized estimateparameter estimate education level 0.31** 0.67** political ideology 0.31** 0.49** total time worked in preschool 0.17* 0.00* gender 0.16* 0.90* intercept F statistic 21.42*** R square 0.45 Adjusted R Square 0.42 __________________________________________________________________________ *p<.05 *p<.05 **p<.01 **p<.01***p<.001

Conclusions Hypothesis One:Hypothesis One: -The chi-square statistic is and is associated with a probability of The probability is less than 0.05 so we can state there is a significant relationship between attitudes toward preschool education and gender.

Conclusions Hypothesis Two:Hypothesis Two: -The F statistic is and the probability associated with it is less than This probabilities associated with each of the independent variables is significant, and we conclude that gender, work experience, education and political ideology are related to attitudes toward preschool programs for low income children.

Future Recommendations Sample those whose children participate in preschool programs.Sample those whose children participate in preschool programs. Compare across different types of preschool programs.Compare across different types of preschool programs. Control for race of respondents.Control for race of respondents.