Week 5 : Stats Review.

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Part 1 : Check-In Review

Reading an Article

  • Okay, how you feeling about this one.
  • Ways to translate the title?
  • Methods of making this make sense?

Validity and Reliability in Dead Fish

Validity : Are we measuring the TRUTH?

  • convergent : our measure should be related to things it should be related to.

  • discriminant : our measure should be UNrelated to things it should be UNrelated to.

Validity and Reliability in Dead Fish

Reliability : Are we getting repeatable measures?

  • test-retest : multiple tests with the same measure should yield the same result (if the subject did not change.)

  • inter-rater : multiple measures should yield the same result

Part 2 : Data Analysis in R

Getting Started in Six Easy Steps.

  1. Take a deep breath.

  2. Download the R Activity Document (under Useful Links) to your computer.

  3. Upload this to posit.cloud, and open it in posit.cloud by clicking on the file (it is a fancy R Script).

  4. Click “Install” if you see the message below.

  1. Click the Gear next to Render, select Preview in Viewer, then click Render.

  2. Check in on your buddy. How are they doing? How are you doing?

The Dataset

codebookurl <- "https://www.dropbox.com/scl/fi/m4os7p2jualfzzuyqbnqy/CODEBOOK_ReadingData.csv?rlkey=wteyc27f8vgo6ihe05hijnkln&dl=1"
dataurl <- "https://www.dropbox.com/scl/fi/47gw0h2x6abprskwdqgo7/DATASET_ReadingData.csv?rlkey=4mm3itw9p4fm7ee5qa7z3n82q&dl=1"

d <- read.csv(dataurl, stringsAsFactors = T)
codebook <- read.csv(codebookurl)
knitr::kable(codebook)
Variable Description
like I like reading for fun
school I like reading for school
startend I always read from the beginning to the end
understand I almost always understand everything that I read
feelstupid I feel bad or stupid if I don t understand everything I read
amgood I think I am a very good reader
kid I read a lot as a kid
EXPtextbook I have a lot of experience reading textbooks
EXPscience I have a lot of experience reading scientific articles
hardsummary I have trouble summarizing what I have read when a teacher asks
wishbetter I wish I was a better reader

Graphing a Variable in R

What do you observe about the graph below?

barplot(table(d$like), 
        col = "black", bor = "white", 
        xlab = "I Like Reading for Fun",
        ylab = "Frequency")

Learning from a Variable with Human and Statistics Brain

What do you observe about the graph below, in terms of the following statisitcs???

statz <- t(psych::describe(d$like)[,c(2:5, 8)])
colnames(statz) <- ""
statz
                
n      37.000000
mean    3.864865
sd      1.158595
median  4.000000
min     1.000000
barplot(table(d$like), 
        col = "black", bor = "white", 
        xlab = "I Like Reading for Fun",
        ylab = "Frequency")

ACTIVITY : Learn About People with R and Human Brain

  • Choose another variable from the dataset.

  • Graph the variable and run some descriptive statistics.

    • What are the numbers?

    • What do these numbers tell you about the people in the dataset?

    • What other questions do you have?

  • Type in the RESEARCH METHODS VISION BOARD.

STUDENT PRESENTATIONS?

NEXT WEEK : Observations

  • I’m being observed! Great if we can all show up on time :)

  • Read about observational data.

  • Read a specific coding scheme researchers use to

BYE.