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Project I Data Analysis PlanI. Obtain data file (Study 1 Data: file name: cell phone data.sav) from the curse web page and save it toyour H: driveII. Descriptive Analyses- These analyses should be reported in the Methods section. Some of this information should bepresented in the Subjects section. The rest will be reported in the Procedures section.A. Select all cases for analysis-- before conducting any analysis we should instruct SPSS to use all of the subjects in ourstudy, normally you would not need to do this, but later on we will exclude some peoplefrom certain analyses, and add this a statement here can keep us from getting hopelesslyconfused later. In short, it is just good practice.- Data ----> Select Cases- All Cases- Paste to Syntax Sheet (Click on Paste and a new syntax window will open. Savethis file as YOURNAME_Cellphone_Data_Syntax)- You should obtain the following syntax.USE ALL.EXECUTE .B. Frequencies for Discrete Variables.- Analyze —> Descriptive Statistics—>Frequencies...- Variable(s) =sexsub, group, phoneuse, time, day,.- Do not request any statistics or charts- Paste to Syntax Sheet (Click on Paste).- You should obtain the following syntax.FREQUENCIES VARIABLES= sexsub group phoneuse time day /ORDER= ANALYSIS .- To run this analysis, while in the syntax editor, highlight the desired block of syntax andclick on the tool-bar-button with the black arrow pointing to the right (it looks like a playbutton on VCR, DVD, or CD player)Report = - Participants = Total number of Observations. Gender = % Male Subjects, %Female Subjects- Procedures = Day of Observation (% Monday, % Tuesday, etc.), time (% foreach of the 8 time periods), sexsub (% male, % female, % unsure), group (%alone, % pairs, % group, % unsure), phone use (% for each category).C. Descriptive Statistics for Continuous Variables.- Analyze —> Descriptive Statistics—>Descriptives...- Variable(s) =groupsize- From Options, select: mean, standard deviation, variance, range, skewness, & kurtosis.- Paste to Syntax Sheet (Click on Paste and syntax will be added to open syntax sheet).- You should obtain the following syntax.DESCRIPTIVES VARIABLES=groupsize /STATISTICS=MEAN STDDEV VARIANCE RANGE KURTOSIS SKEWNESS .- To run this analysis, while in the syntax editor, highlight the desired block of syntax andclick on the tool-bar-button with the black arrow pointing to the right (it looks like a playbutton on VCR, DVD, or CD player)Report = - Procedures = groups size (mean, standard deviation, and range)III. Preliminary Analysis- Should be reported as the first sub-section of the Results section.- X2 Goodness of Fit Tests for Discrete Variables- Analyze—> Nonparametric Tests—> Chi Square- Test Variable List = sexsub, group, phoneuse, time, day.- Expected Values: All categories equal- Expected Range: Get from data. - Paste to Syntax Sheet.- You should obtain the following syntax for the first chi squareNPAR TEST /CHISQUARE=sexsub group phoneuse time day /EXPECTED=EQUAL /MISSING ANALYSIS.- we should also test gender of subjects using the 40/60 (male/female) ratio. Since male =1 enter 40 first (click add), then 60 (click add). When you run this, only run it for gensub(remove all other variables from the Test Variable List).-If you conduct the sexsub analysis with the 60/40 ratio you will have the followingsyntax.NPAR TEST /CHISQUARE=sexsub /EXPECTED=40 60 /MISSING ANALYSIS.-Run these analysesReport = For all significant analyses report the test resultsE.g.If p < .05, then X2(?, N = ?) = ?.??, p = .05. (or whatever sig level given by spss).- Since the group frequencies for each variable are presented in the Methods section, it isnot necessary to report them here. However, you do need to explain what the resultswere.- For Example: It was found that significantly more females were observed, compared tomales, X2(1, N = 174) = 57.47, p = .001.- Because there are so few subjects in the Headset No Talk condition, it will be best if go aheadand exclude these subjects from all future analyses. We will use the select cases syntax for this.- Data ----> Select Cases- If condition is satisfied- In the field of the Select Cases: If dialog box type the followingphoneuse ~= 5 (This means phone use not equal to 5)- Click continue- Paste to Syntax Sheet (Click on Paste and a new syntax window will open. Savethis file as YOURNAME_Helping_Data_Syntax)- You should obtain the following syntax.USE ALL.COMPUTE filter_$=(phoneuse ~= 5).VARIABLE LABEL filter_$ 'phoneuse ~= 5 (FILTER)'.VALUE LABELS filter_$ 0 'Not Selected' 1 'Selected'.FORMAT filter_$ (f1.0).FILTER BY filter_$.EXECUTE .IV. Main Analyses - These Analyses will be reported in the second section of the Results Section- Pearson’s Chi Square Test of Association Between Discrete Variables- Each hypothesis will have to be tested separately, but once you get the syntax for one analysisyou can copy and paste it and just change the variables in the syntax. - Analyze —> Descriptive Statistics —> Crosstabs...- Rows : Always put the variable with the most groups in the Rows. - Columns: Always put the variable with fewest groups int the Columns.- This simply keeps the output a little more interpretable (unless you print youroutput in landscape, then you should reverse the above rules).- Statistics: Chi-Square, Phi and Cramer V- Cells: All Counts and Unstandardized and Standardized Residuals- Paste to Syntax Sheet- Time Gender x Phone Use: Female Participants are more likely to be using the cellphone than Male Participants Group x Phone Use: Participants who are walking in pairs will be less likely touse the cell phone than participants walking in groups oralone.Time x Phone Use: Fewer participants under greater time pressure (closer tobeginning of class) will use the cell phone.Note: for this analysis you will need to put phone use in thecolumns and time in the rows since there are 8 time groups Subject Sex x Group Interaction for Phone Use:For Participants who are Alone: Females will be morelikely to be using the phoneFor Participants who are in Pairs: Gender difference inphone use will be smallFor Participants who are in Groups: Male participants willbe less likely to use the phone than females.This analysis will require the use of the Split File Command. Essentially we will instructspss to run the same Sex of Subject x Help analyses once just for female confederates andonce just for male confederates. Split File = Data —> Split File- Organize output by


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Radford PSYC 201 - Study Guide

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