Case Studies A detailed picture of one or a few subjects. Tells us a great story…but is just descriptive research. Does not even give us correlation data.

Slides:



Advertisements
Similar presentations
It is actually way more exciting than it sounds!!!!
Advertisements

Table of Contents Exit Appendix Behavioral Statistics.
Appendix A. Descriptive Statistics Statistics used to organize and summarize data in a meaningful way.
Descriptive (Univariate) Statistics Percentages (frequencies) Ratios and Rates Measures of Central Tendency Measures of Variability Descriptive statistics.
It is actually way more exciting than it sounds!!!!
Chapter 13 Conducting & Reading Research Baumgartner et al Data Analysis.
Descriptive Statistics Statistical Notation Measures of Central Tendency Measures of Variability Estimating Population Values.
Essential Questions EQ 1-5: How do psychologists draw appropriate conclusions about behavior from research? **Make sure in their do now they grab a graphic.
Research Methods history history It is actually way more exciting than it sounds!!!!
It is actually way more exciting than it sounds!!!!
What is statistics? STATISTICS BOOT CAMP Study of the collection, organization, analysis, and interpretation of data Help us see what the unaided eye misses.
Research and Statistics AP Psychology. Questions: ► Why do scientists conduct research?  answer answer.
Statistical Analysis How do we make sense of the data we collect during a study or an experiment?
1.3 Psychology Statistics AP Psychology Mr. Loomis.
Part 2: Research Methods. Why is psychological research important? Psychologists do more than just wonder about human behavior Psychological research.
Research Methods history history It is actually way more exciting than it sounds!!!!
Statistics Recording the results from our studies.
Statistics Recording the results from our studies. Must use a common language so we all know what we are talking about.
RESEARCH METHODS REVIEW GAME. A TESTABLE PROPOSITION THAT EXPRESSES A RELATIONSHIP BETWEEN VARIABLES. Hypothesis A variable is anything that can vary.
Describing Behavior Chapter 4. Data Analysis Two basic types  Descriptive Summarizes and describes the nature and properties of the data  Inferential.
Descriptive Statistics Used to describe or summarize sets of data to make them more understandable Used to describe or summarize sets of data to make them.
Unit 2 Psychological Research Methods. Why do we have to learn this stuff? Psychology is first and foremost a science. Thus it is based in research.
Statistics Recording the results from our studies. Must use a common language so we all know what we are talking about.
Dr. Serhat Eren 1 CHAPTER 6 NUMERICAL DESCRIPTORS OF DATA.
Agenda Descriptive Statistics Measures of Spread - Variability.
Basic Statistical Terms: Statistics: refers to the sample A means by which a set of data may be described and interpreted in a meaningful way. A method.
Research Methods It is actually way more exciting than it sounds!!!!
Evaluating Data in Research. Joey finished at the 74 th percentile on his EOC Algebra test.  74 th percentile means  Above 74% of test takers  Actual.
STATISTICS. What is the difference between descriptive and inferential statistics? Descriptive Statistics: Describe data Help us organize bits of data.
Research Methods It is actually way more exciting than it sounds!!!!
 Two basic types Descriptive  Describes the nature and properties of the data  Helps to organize and summarize information Inferential  Used in testing.
Six topics in Statistics. Topic 1: Frequency Distributions Putting scores in order adds meaning Bar graphs (histograms) are visual representations of.
Appendix B: Statistical Methods. Statistical Methods: Graphing Data Frequency distribution Histogram Frequency polygon.
Statistical Analysis Quantitative research is first and foremost a logical rather than a mathematical (i.e., statistical) operation Statistics represent.
Psychology and Statistics Interpreting Data (Ch. 1 Myers and Ch. 2 Barron’s)
Statistics. Descriptive Statistics Organize & summarize data (ex: central tendency & variability.
STATISTICS STATISTICS Numerical data. How Do We Make Sense of the Data? descriptively Researchers use statistics for two major purposes: (1) descriptively.
Psychology’s Statistics Appendix. Statistics Are a means to make data more meaningful Provide a method of organizing information so that it can be understood.
Ethics and Research Methods Objective: Student will understand the ethics and different research methods that Psychologists use. It is actually more exciting.
Research Methods. Why do we have to learn this stuff? Before we delve into how to do research, you should be aware of THREE HURDLES that tend to skew.
Research Methods It is actually way more exciting than it sounds!!!!
Research Strategies It is actually way more exciting than it sounds!!!!
AP PSYCHOLOGY: UNIT I Introductory Psychology: Statistical Analysis The use of mathematics to organize, summarize and interpret numerical data.
Introductory Psychology: Statistical Analysis
It is actually way more exciting than it sounds!!!!
Statistics.
Statistical Reasoning in Everyday Life
Statistics in AP Psychology
Descriptive Statistics
Statistics: the language of psychological research
Survey Method Most common type of study in psychology
Correlational Method Correlation expresses a relationship between two variable. Does not show causation. As more ice cream is eaten, more people are murdered.
Statistical Analysis How do we make sense of the data we collect during a study or an experiment?
Evaluating Data in Research
Statistical Evaluation
Descriptive and Inferential Statistics
Chapter 2 Research Methods
Experimental Method Looking to prove causal relationships.
Research Statistics Objective: Students will acquire knowledge related to research Statistics in order to identify how they are used to develop research.
Statistical Evaluation
Unit 2 Research and Methods.
Random Selection (surveys/experiments) & Random Assignment (experiments) Once you have a random sample, randomly assigning them into two groups helps.
Operational Definitions
Practice: Imagine that you are a golfer of above-average ability and that you have the opportunity to play the greatest golfer in the world (say Tiger.
Psychology Statistics
Understanding Results
Research Day 3.
Descriptive/correlational research
Population/Sample.
Normal Distribution: Bell Curve
Presentation transcript:

Case Studies A detailed picture of one or a few subjects. Tells us a great story…but is just descriptive research. Does not even give us correlation data. The ideal case study is John and Kate. Really interesting, but what does it tell us about families in general?

Statistics Recording the results from our studies. Must use a common language so we all know what we are talking about.

Descriptive Statistics Just describes sets of data. You might create a frequency distribution. Frequency polygons or histograms.

Central Tendency Mean, Median and Mode. Watch out for extreme scores or outliers. $25,000-Pam $25,000- Kevin $25,000- Angela $100,000- Andy $100,000- Dwight $200,000- Jim $300,000- Michael Let’s look at the salaries of the employees at Dunder Mifflen Paper in Scranton: The median salary looks good at $100,000. The mean salary also looks good at about $110,000. But the mode salary is only $25,000. Maybe not the best place to work. Then again living in Scranton is kind of cheap.

Normal Distribution In a normal distribution, the mean, median and mode are all the same.

Distributions Outliers skew distributions. If group has one high score, the curve has a positive skew (contains more low scores) If a group has a low outlier, the curve has a negative skew (contains more high scores)

Other measures of variability Range: distance from highest to lowest scores. Standard Deviation: the variance of scores around the mean. The higher the variance or SD, the more spread out the distribution is. Do scientists want a big or small SD? Shaq and Kobe may both score 30 ppg (same mean). But their SDs are very different.

Scores A unit that measures the distance of one score from the mean. A positive z score means a number above the mean. A negative z score means a number below the mean.

Normal Distribution

Inferential Statistics The purpose is to discover whether the finding can be applied to the larger population from which the sample was collected. P-value=.05 for statistical significance. 5% likely the results are due to chance.

APA Ethical Guidelines for Research IRB- Internal Review Board Both for humans and animals.

Animal Research Clear purpose Treated in a humane way Acquire animals legally Least amount of suffering possible.

Human Research No Coercion- must be voluntary Informed consent Anonymity No significant risk Must debrief