Psyzol Research Methods & Statistics
MASH IYAT AHMED
M. Stolltorf
Methodology and Statistics
University of Toronto
, Ch. 1 Introduction, Course Objectives
7. Immediate goals of course
·
Understand research
· avoidstatistical misinterpretation
Whatis statistics?
-
Descriptive statistics:Summarize data using a descriptive value
Ceg. Central tendency, graphs); a number that
conveys a dominant
statistical characteristic
-
Inferential statistics:uses statistical
predictive power to reach
conclusions unmeasured
about populations.
-
measurements for entire populations
!- Al absorb variation
-measurements in samples
(only "true"variation)
include both
spopulation) sample)"true" V andchances
↳ probabalistic power- - inferential stats buildtools to minimize
inferential statistics Chance (eg. null hypothesis)
Terminology
2. Parameters -
numerical, nominal descriptor a
of population
2. Statistic -
numerical, nominal descriptor of sample
3. Variables) -
any or trait
quantity that
can
vary (e.g., heigh, eye colour)
↳ . Quantitative. v- variables which indicate amounts, degrees
↳ S. Continous, Qualitative. V -
of
measurement (kinds),
quality continuous
quantitative variables can be ANY amount
5.5 6.5 <.S
6.5 upper limit score of
is
is
6. Lower limit
7
In memory recall
7. Upper limit 7 8 -Becall memory. I can be
8. Discreet. V- Intermediate
scores for
6.5 or 7.5, butw ill be
discreet values are not meaningful (7)
expressed as
/e.g., intermediate values are not possible;
of shoes you own)
#
9.
Categorical v. -
(qualitative.v) differ in kinds, amount.
not
eye colour, political affiliation, ordered kinds
-
lo. Independent. V 2 3 5 independent." (manipulated)
=
+
Dependent.v (observed
Y
2 4 6
+
=
11. Dependent. V Extraneous.(notintentionally
2 9 11
+
=
manipulated)
1. 2. Extraneous,
Experimental Design:DV varies with IV while keeping
confounding. V Ev constant.
MASH IYAT AHMED
M. Stolltorf
Methodology and Statistics
University of Toronto
, Ch. 1 Introduction, Course Objectives
7. Immediate goals of course
·
Understand research
· avoidstatistical misinterpretation
Whatis statistics?
-
Descriptive statistics:Summarize data using a descriptive value
Ceg. Central tendency, graphs); a number that
conveys a dominant
statistical characteristic
-
Inferential statistics:uses statistical
predictive power to reach
conclusions unmeasured
about populations.
-
measurements for entire populations
!- Al absorb variation
-measurements in samples
(only "true"variation)
include both
spopulation) sample)"true" V andchances
↳ probabalistic power- - inferential stats buildtools to minimize
inferential statistics Chance (eg. null hypothesis)
Terminology
2. Parameters -
numerical, nominal descriptor a
of population
2. Statistic -
numerical, nominal descriptor of sample
3. Variables) -
any or trait
quantity that
can
vary (e.g., heigh, eye colour)
↳ . Quantitative. v- variables which indicate amounts, degrees
↳ S. Continous, Qualitative. V -
of
measurement (kinds),
quality continuous
quantitative variables can be ANY amount
5.5 6.5 <.S
6.5 upper limit score of
is
is
6. Lower limit
7
In memory recall
7. Upper limit 7 8 -Becall memory. I can be
8. Discreet. V- Intermediate
scores for
6.5 or 7.5, butw ill be
discreet values are not meaningful (7)
expressed as
/e.g., intermediate values are not possible;
of shoes you own)
#
9.
Categorical v. -
(qualitative.v) differ in kinds, amount.
not
eye colour, political affiliation, ordered kinds
-
lo. Independent. V 2 3 5 independent." (manipulated)
=
+
Dependent.v (observed
Y
2 4 6
+
=
11. Dependent. V Extraneous.(notintentionally
2 9 11
+
=
manipulated)
1. 2. Extraneous,
Experimental Design:DV varies with IV while keeping
confounding. V Ev constant.
