Factorial Design Outcomes
Outcome 1
1.
Is there a main effect for IV A?
2.
Is there a main effect for IV B?
3.
Is there an A x B interaction?
4.
Graph the results using a line
graph and a bar graph.
B1
B2
A1
4
6
A2
3
8
Factorial Design Outcomes
Outcome 1
Psy3213- Spring16
Final SPSS Output
Ch2 prob 1
Descriptive Statistics
N
Sum
Student
10
Valid N (listwise)
10
3616.00
Ch2 prob 2
Descriptive Statistics
N
Sum
X
8
Valid N (listwise)
8
42.70
Ch3 prob 1 part A
Wtloss
Statistics
Frequency
Wtloss
Percent
Cumula
Lecture for Ch. 7
(Aron, Coups, & Aron)
(pp. 226-240; 240-251; 255270)
t Test for One Sample
ZM
The one sample t test is used in the same type of situations as the one
sample z test (what we covered in Ch. 5)
The key determinant of which test you should u
Lecture:SomeKey
IngredientsforInferential
Statistics
NormalDistributions
Common measurements like IQ tests scores, height,
weight, SAT scores, and GRE scores are normally
distributed
Also called the bell curve or normal curve
Has a unimodal, symmetrica
Lecture:SomeKey
IngredientsforInferential
Statistics
NormalDistributions
Common measurements like IQ tests scores, height,
weight, SAT scores, and GRE scores are normally
distributed
Also called the bell curve or normal curve
Has a unimodal, symmetrica
Lecture:Experimental
Design&Control
ExperimentalDesign&
Control
Experiments always involve controlled contrasts
(i.e. comparison between two or more conditions).
Types of control: (1) Controlling the manipulation
of the independent variable and (2) maki
Lecture:Experimental
Design&Control
ExperimentalDesign&
Control
Experiments always involve controlled contrasts
(i.e. comparison between two or more conditions).
Types of control: (1) Controlling the manipulation
of the independent variable and (2) maki
Lecture:Experimental
Design&Control
ExperimentalDesign&
Control
Experiments always involve controlled contrasts
(i.e.,
)
Types of control: (1) Controlling the manipulation
of the independent variable and (2) making sure
that no other variables affect th
Lecture for Ch. 3 (Aron,
Aron, & Coups, only pp. 6784; 87-92; 99-106)
Normal Distributions
Common measurements like IQ test scored, height,
weight, SAT scores, and GRE scores are normally
distributed.
Also called bell curve or normal curve
Has a unimodal,
Lecture for Ch. 10
(Aron, Coups & Aron, pp.
377-413; 418-433)
Introduction to Factorial ANOVA
Recall that factorial designs are used to combine two or more
independent variables in the same experiment
For every factorial design that has two factors (i.e.,
Lecture for Ch. 8 (Aron,
Aron, & Coups)
(pp. 270-287; 290-293; 295305)
The t Test for Independent Means
The two sample t test for between-subjects designs (or t test for independent
means) is used when we want to compare the means from two groups (or two
Lecture for Ch. 1 (MacLin &
Solso)
What is Psychology?
Scientific method is key
nature of science
Science moves forward
&
Scientific breakthroughs are
Psychologists are trained to have a scientific
approach no matter what their specialty
Assumptions of Sc
Lecture for Ch. 3 (MacLin &
Solso)
Experimental Design Basics
Example:
Participants
Operational definition for IV
Levels of the IV
Operational definition for DV
Random assignment
Controlling extraneous variables
Two Kinds of IVs
Experimenter-manipulated I
Lecture for Ch. 2 (Aron,
Aron, & Coups, pp. 33-62)
Descriptive Statistics
Descriptive vs. inferential statistics
Examples of descriptive statistics:
Mean
Median
Mode
Range
Standard Deviation
Variance
Frequency tables and graphs (ex. Histograms)
Shape of d
Lecture for Ch. 4 (MacLin &
Solso) & Ch. 10 (Aron,
Coups, & Aron, pp. 377-393;
418-420; 422-423)
Factorial Designs
Two or more independent variables are manipulated during
the same experiment
Assume a fully-crossed design by default
Terminology: If you ar
Lecture for Ch. 5 (Aron,
Coups, & Aron)
(only pp. 139-156; 167-176)
Hypothesis Testing With a
Sample Mean
Logic is very similar to what we just did in Chapter 4
Big difference is that we will be evaluating the probability
of obtaining a sample mean instea
Lecture for Ch. 5 (MacLin &
Solso)
Experimental Design &
Control
Experiments always involve controlled contrasts
(i.e., comparison between two or more conditions)
Types of control: (1) Controlling the manipulation
of the independent variable and (2) makin
Lecture for Ch. 4 (Aron,
Coups, & Aron)
General Idea Behind
Hypothesis Testing to
Lets revisit the typical problem involving using Z scores
determine probabilities. If a person takes a standardized IQ test that has a
mean of 100 and a standard deviation o
Lecture for Ch. 6 (Aron,
Aron, & Coups)
(no calculations)
Type I and Type II Errors
When you perform a statistical test of a hypothesis, there is
always a chance of making an error
Whether you reject or fail to reject the null hypothesis
determines the ty
Lecture for Ch. 6 (MacLin &
Solso)
Control of Subject Variables
Model 1: Randomized Subject Design
(Independent subject or between-groups)
Model 2: Matched Subjects Design
Model 3: Within-Subject Design (Repeated
measure)
Model 4: Repeated Measure Design
Lecture for Ch. 9 (MacLin &
Solso, pp. 168-172)
Presenting Research to Other
Psychology Students
Major venues for presenting research:
Large conventions:
Medium-sized conventions:
Annual convention of the Association for Psychological Science
(APS)(2,300)
Lecture for Ch. 15 (Aron,
Coups, & Aron, pp. 625-627)
Reliability
Reliability refers to the consistency or stability of a
measure.
Psychologists use various types of measures (e.g.,
Behavioral checklists, psychological tests, physiological
markers, etc.)