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Explaining our negative feelings towards Politicians and Parties 2008 Student

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Research Question What predicts our positive or negative feelings about politicians and political parties?

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Hypothesis Age (Nevittes Decline of Deference) Family and Friends (Qualitative Research)

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Method CES 2006 Survey Syntax available for replication Index: Politicians dont keep their promises All parties are corrupt Politicians are ready to lie to get elected Government doesnt care what people like me think How (negative) do you feel about parties in general How (negative) do you feel about politicians in general Cronbachs Alpha: 0.7368

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Findings (positive relationships = more positive views of government) Extremely Weak but still significant Family talked often about politics while growing up: Tau-c:.09262 It is the duty if citizens to vote: Tau-c:.05377 Discussed politics often in the last week: Tau- c:.09262 Higher Income: Tau-b:.14045

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Findings (positive relationships = more positive views of government) Age had no significant difference at 95% - we are equally discontented. -Chi:.00864

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Findings (positive relationships = more positive views of government) Stronger (still weak) significant relationships: Higher Education: tau-b:.15610 Higher Interest in Politics: tau-b:.20449 Party you voted for in 2004: Kramers V:.15210

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Education Level >>> Feelings about Politicians and Parties ANOVA Statistics. GroupCountMean Standard Deviation Standard Error 95% Confidence Interval for Mean No post- secondary 2401.7917.7911.05111.6911 TO 1.8923 Some Post Secondary 9131.9025.8086.02681.8500 TO 1.9550 Bachelors Degree or More 5452.1761.7965.03412.1091 TO 2.2432 Totals16981.9747.8145.01981.9359 TO 2.0134

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Education Level >>> Feelings about Politicians and Parties Scheffe Test. No post-secondarySome PostSecondaryBachelors Degreeor More No post- secondary Some Post Secondary Bachelors Degree or More **

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Party you voted for in 2004>>> Feelings about Politicians and Parties. Scheffe Test GreenBlocReformAllianceN.D.P.P.C.Liberals Green Bloc Reform Alliance NDP P.C. * Liberals **

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Party you voted for in 2004>>> Feelings about Politicians and Parties. Cross Tabulation LiberalsP.C.NDPAlliancereformBlocGreen Spoiled Ballot Totals Feelings about Parties and Politicia ns Negative 25.7%27.3%33.8%34.8%40.0%46.3%75.0%83.3%408 Neutral34.4%43.4%36.4%36.6%30.0%25.6%25.0%16.7%473 Positive39.9%29.3%29.8%28.6%30.0%28.1%0% 452 Totals651256151112201211661333

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Conclusions Substantive Conclusions -No strong explanatory variables -weak ones: education, incomes, political interest, party affiliation Possible Methodological Conclusions -A. havent found it. -B. Need better tools. -C. Explanations might be personal, not systematic.

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Syntax *constructing the index* missing values CPS_I606 (8, 9). missing values CPS_I706 (8, 9). missing values CPS_J606 (8, 9). missing values CPS_G120 (996, 998, 999). missing values CPS_G6 (996 thru 999). missing values CPS_P6 (7, 8, 9). compute feelpart = (CPS_G120/100). compute feelpol = (CPS_G6/100). recode CPS_I606 (7=1) (5=.75) (3=.25) (1=0) into likeme. recode CPS_I706 (7=1) (5=.75) (3=.25) (1=0) into pollie. recode CPS_J106 (7=1) (5=.75) (3=.25) (1=0) into corrup. recode CPS_P6 (1=1) (3=.5) (5=0) into promis. RELIABILITY VARIABLES= promis corrup pollie likeme feelpol feelpart /scale(Feel)= promis corrup pollie likeme feelpol feelpart /summary=All. compute rawindex= promis+corrup+pollie+likeme+feelpol+feelpart recode rawindex (0 thru 1.75=1)(1.76 thru 2.75=2)(2.76 thru 5.80=3) into feel value labels feel 1'low' 2'moderate' 3'high'. Freq var feel *Extremely weak relationships* missing values cps_c6 (8) crosstab tables=feel by cps_c6 /cells = count column/stats=ctau CHISQ missing values cps_p16 (8,9) crosstab tables=feel by cps_p16 /cells = count column/stats=ctau CHISQ missing values cps_s1 () recode cps_s1 (1902 thru 1955=1) (1956 thru 1970=2) (1971 thru 1986=3) into age value labels age 1'old' 2'middle' 3'young' /ranges=scheffe /statistics=all. crosstab tables=feel by age /cells = count column/stats=btau CHISQ missing values CPS_A906 (8) crosstab tables=feel by cps_A906 /cells = count column/stats=btau CHISQ missing values cps_s18 (97) recode cps_s18 (1,2=1) (4 thru 6=2) (8 thru 10=3) into inco value labels inco 1'little' 2'some' 3'lots' crosstab tables=feel by inco /cells = count column/stats=btau CHISQ *stronger relationships* missing values cps_s3 (98,99) recode cps_s3 (1 thru 4=1) (5 thru 8=2) (9 thru 11=3) into educ value labels educ 1'little' 2'some' 3'lots' crosstab tables=feel by educ /cells = count column/stats=btau CHISQ oneway feel by educ (1,3) /ranges=scheffe /statistics=all. missing values cps_A806 (98) recode cps_A806 (0 thru 4=1) (5 thru 7=2) (8 thru 10=3) into intr value labels intr 1'little' 2'some' 3'lots' crosstab tables=feel by intr /cells = count column/stats=btau CHISQ oneway feel by intr (1,3) /ranges=scheffe /statistics=all. missing values cps_q6 (0,98,99) recode cps_q6 (10,8=8) crosstab tables=feel by cps_q6 /cells = count column/stats=PHI oneway feel by cps_q6 (1,8)