Why? Goals. Caveats. Not always lots of RA opportunities in our laboratory from semester to semester.

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1 Why? No always los of RA opporuniies in our laboraory from semeser o semeser. Provide opporuniy for awesome sudens who applied or from recen classes o gain some experiences. To ranslae some cogniive science ino day-oday pracice, hone raining maerials, disseminae resources, ec. Caveas Goals This workshop will be a rough draf. Maerial may no always be super clear, however I will be here o collaborae on RSudio. Learn some solid RSudio. Learn how o plo and describe daa ha is organized in ime. Apply his knowledge o real-world case sudies. Today: we sar slow and simple jus o ge everyone on he same page.

2 measuremen ype Time Series Types caegorical coninuous measuremen sampling regular second-by-second emoion ype brain waves or moion racking irregular word sequence in a conversaion reacion ime, or keysrokes (rial series) Anxiey Self-Eseem Daily Hedonic Level COMPLEX DYNAMICAL SYSTEMS IN SOCIAL AND PERSONALITY PSYCHOLOGY Session Trial Time (seconds) Figure Hypoheical examples of several ypes of behavioral ime series. (op lef) Change in anxiey level for an individual over 5 herapy sessions. (middle lef) An individual s self-eseem recorded on a 9-poin Liker-scale wice a day for 512 days. (boom lef) An individual s daily hedonic (mood) level recorded over 12 weeks. (op righ) Moion sensor recording of a individuals righ arm movemens while walking. (middle righ) Reacion imes of a paricipan compleing a 512 rial lexical decision ask. (boom righ) A ime series represening caegorical daa obained from eye movemen behavarm while walking (Harrison & Richardson, 29). In oher cases he paerns of change over ime are highly complex and appear o be nondeerminisic or sochasic (i.e., random): an individual s self-eseem over he course of 1.5 years (see Delignières e al., 24) and he rial-by-rial and an individual compleing a 512 rial lexical decision ask (see Holden, 25). Ohers seem o fall somewhere in beween, conaining semi-periodic paerns or oher complex regulariies. Limb Posi on (msec) Numeric Code Time (seconds) Trial Time (msec) Recap Day 1 Seing up RSudio Navigaing your compuer o ge o your working direcory (sewd) Loading in a able (read.able) for inspecion and ploing (plo) Time series conceps.

3 Time Series Types measuremen sampling 15 reacion ime! regular irregular coninuous rial series (msec) Trial measuremen ype caegorical coninuous second-by-second emoion ype brain waves or moion racking word sequence in a conversaion reacion ime, or keysrokes (rial series) coninuous regular Limb Posi on moion racking! Time (seconds) 15 Goals Day 2 Taking he mean and sandard deviaion (sd) of your ime series. The concep of enropy as a measure of disorder Taking he difference (diff) of your ime series o explore how sable a process i. mean Limb Posi on quaniies for coninuous ime series Time (seconds) 15 deviaion (sd) E.g., menal processing during yping E.g., sock prices

4 quaniies for coninuous ime series examples 15 lower enropy mean Time (seconds) 15 Limb Posi on deviaion (sd) + a new measure of disorder how (in)consisen is he ime series in is values? enropy he higher he enropy, he more general disorder in he ime series higher enropy examples lower enropy Exercise 4 higher enropy

5 enropy of differences example of aking he difference example of aking he difference example of aking he difference lower enropy higher enropy

6 how do we ge he difference, like his? lower enropy enropy of differences (, 1,, 1,, 1,,, ) enropy of differences Exercise 5

7 Recap Days 1, 2 Seing up RSudio Navigaing your compuer o ge o your working direcory (sewd) Loading in a able (read.able) for inspecion and ploing (plo) Time series conceps. Taking he mean and sandard deviaion (sd) of your ime series. The concep of enropy as a measure of disorder Taking he difference (diff) of your ime series o explore how sable a process i. E.g., menal processing during yping E.g., sock prices How o subse daa. Goals Day E.g.: Deleing ouliers from your daa (like a 47-second keysroke!?) more fun wih dynamic daa Devilish deails. Analyzing yping speed for individuals characers (e.g., e vs. p ). Which do you hink would be faser? Experience collecing dynamic daa wih eye racking.

8 Plan for Eye Tracking Used a relay mehod for raining I will ge hings prepped a he back of he room. Kevin will join me, and ac as my subjec as I show him he racker. Exercise Kevin will hen ac as me, and rain Mario on he eye racker. Mario will hen ac as Kevin, and rain Mizy on he eye racker, ec. Recap Days 1, 2, Seing up RSudio Navigaing your compuer o ge o your working direcory (sewd) Loading in a able (read.able) for inspecion and ploing (plo) Time series conceps. Taking he mean and sandard deviaion (sd) of your ime series. The concep of enropy as a measure of disorder Taking he difference (diff) of your ime series o explore how sable a process i. E.g., menal processing during yping E.g., sock prices How o subse daa. E.g.: Deleing ouliers from your daa (like a 47-second keysroke!?) Devilish deails. Analyzing yping speed for individuals characers (e.g., e vs. p ). Which do you hink would be faser? Experience collecing dynamic daa wih eye racking.

9 Goals Las Day! More hands-on raining on dynamic daa collecion (eye racking glasses). Promise of Daa I is our era for example, oday sociey Mario VR demo!? Case sudy in a culural domain: word frequencies over hisorical ime. Case sudy challenge: I give you some daa, some basic code, and you hack a i. self Sraegies for Nex Seps Wha kind of learner are you? Sraegies 1. Find a srucured course online. E.g.: Coursera. 2. Find videos and oher srucured resources. hps:// UC5kyacv_aPSBmKB7uX5Piw. Hack, hack away using Google and manuals mos srucured mos disorder

10 Skill Conceps Program planning ( logic in pseudo-code ) No even acually programming Debugging process When saring ou, any ime you are wriing a scrip, run each line as you wrie i. Learn how o maximize use of online resources Become familiar wih help(funcion) or an RSudio reference sie ha can help (e.g.: r-dir.com).

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