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Results Evaluating Analysis and Results sections: Quantitative Research

October 7, 2024

Agenda

Finish Methods section & Review last class

Results

Evaluating Analysis and Results Sections: Quantitative Research

In-class activity

Presentations

Next Class

Methods Review

Measure

Reliability vs Validity

Internal Consistency (Cronbach’s alpha)

Designs (Between-subjects, Pre-test/post-test, within-subjects, crossover

Threats (selection bias, maturation, placebo effects)

3

Descriptive Statistics and Inferential Statistics

Descriptive Statistics: describe the sample (frequencies, percentages, averages, variability)

Inferential Statistics: allow us to infer about the population (correlations, regression analyses)

Inferential statistics will tell us the likelihood that the differences in the descriptive stats are due to chance. Without descriptive statistics, inferential statistics don’t make sense.

4

Mean (& Distribution)

Mean without distribution tells us nothing…

Standard deviation: how much variation there is within the data

Low standard deviation- data is clustered closer together

Mean is only representative with normal distribution

Skewed distribution: extreme scores without counterbalance

Scores: 55, 55, 56, 57, 58, 60, 61, 63, 66, 66, 310

Mean = 82.45, standard deviation = 75.57

Example 10.2.1 gives you equations to see what the upper and lower distributions should be (2 standard deviations from the mean)

If data is skewed, the median and mode might be better descriptors of central tendency

5

Percentages

Are percentages reported with underlying number of cases?

“Since the end of the Cold War, interest in Russian language studies has decreased dramatically. For instance, at Zaneville Language Institute, the number of students majoring in Russian has decreased by 50% from a decade earlier.”

(n = 4 in 2002, n = 2 in 2012)

6

Statistical significance (large or small?)

Statistical significance can be large or small.

Large samples can show very small statistical significance

Does the author point out the size of the difference?

Although the difference between the means of the experimental group (M = 24.55) and control group (M = 23.65) was statistically significant (t = 2.075, p < .05), the small size of the difference, in absolute terms, suggests that the effects of the experimental treatment were weak.

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Results Section

Written in an essay format (not just statistics)

Usually written in essay format with statistics to support their claims

Researcher refers to the hypotheses, purpose, and original question

The results should tie back to the introduction

If there are multiple research questions/hypotheses, is the reader reminded of these in the results section

8

Tables

Some results are presented better on a table rather than paragraph form.

Researcher should present highlights of the table in the narrative

Instead of this:

We want this:

+

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Participation

Ekkekakis, 2008

T-test, ANOVA, MANOVA, ANCOVA, MANCOVA

Assumptions

Type I error, Type II error

Family-wise error (Bonferroni correction)

Degrees of freedom

Effect size

In groups:

Greene, 2018

10

For next class (Oct 14)…

Read Chapters 11 & 12

Read Articles for in-class activity

Presentations (Intro & Methods) 11-20

Final Projects idea due via Canvas!

PRESENTATIONS

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ArticleforWrittenCritiqueResultsCraft2003.pdf
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